Keith Price Bibliography keyword Details for s

Keywords s

Safety Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
Section: Autonomous Vehicle Safety, Evaluation, Analysis (H3)
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
Section: Pedestrian Safety Issues, Pedestrian Behavior (H4)

Saliency Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
Section: Active Vision, Visual Attention (H2)
Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
Section: Perceptual Grouping, Saliency, General Systems (H2)
Section: Perceptual Grouping, Saliency, Theory (H2)
* Automatic Detection of Interest Areas of an Image or of a Sequence of Images
* Saliencies and Symmetries: Toward 3D Object Recognition from Large Model Databases
8 for Saliency

Salient Object Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
Section: Motion Segmentation, Motion Saliency, Video Salience (H3)

Salient Objects Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Co-Salient Detection (H3)
Section: Color, Multispectral, RGB, for Salient Regions (H3)
Section: RGB-D Salient Object Segmentation and Detection (H3)
Section: Salient Regions, Saliencey for Regions (H3)
Section: Weakly Supervised, Unsupervised Salient Regions (H4)
8 for Salient Objects

Salient Points Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: Evaluation of Salient Point, Interest Point Detection (H3)
Section: Interest Operators, Interest Points, Feature Points, Salient Points (H2)
Section: Scale Invariant Features, SIFT, SURF, ASIFT (H3)

Salient Regions Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: Color, Multispectral, RGB, for Salient Regions (H3)
Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
Section: Object Extraction, Object Detection for Database Indexing (H4)
Section: Salient Regions, Saliencey for Regions (H3)
Section: Weakly Supervised, Unsupervised Salient Regions (H4)
* Data and Model-Driven Selection Using Color Regions
* Salient Closed Boundary Extraction with Ratio Contour
9 for Salient Regions

Salinity Section: Remote Sensing General Issue, Land Use, Land Cover (H)
Section: Sea Surface Salinity, SSS, SMOS (H3)
Section: Soil Salinity Measurements (H2)

Salt and Pepper Noise Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Section: Noise Removal, Impulse Noise, Salt and Pepper (H3)

Sample Size Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
Section: Training Set Size, Sample Size, Analysis, Selection (H2)

Sampling Section: Image Manipulation -- Sampling, Reduction, Decimation, General Size Changes, Resizing (H3)
Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)

SAR Analysis Section: Remote Sensing General Issue, Land Use, Land Cover (H)
Section: Soil Moisture, Radar, SAR, X-Band (H3)

SAR Change Detection Section: Radar, SAR Image Change Detection (H3)
Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)

SAR Image Analysis Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
* Localized Radon Transform-Based Detection of Linear Features in Noisy Images

SAR Imagery Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* Object Identification From Multiple Images Based on Point Matching Under A General Transformation
* Segmentation of Polarimetric Synthetic Aperture Radar Data

SAR Registration Section: Radar, SAR Registration (H4)
Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)

SAR Tomography Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: Tomography, SAR Tomography, Tomographic SAR, TomoSAR (H3)

SAR Definition:* Synthetic Aperature Radar.
* *Automatic ObjectTarget Recognition VIII
* *Signal Processing, Sensor Fusion, and Target Recognition V
Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
Section: ATR -- Model, Object Based Radar and SAR Recognition (H3)
Section: Biomass Measurements, Forest, TanDEM-X, SAR, Radar Measurements (H4)
Section: Buildings from Radar, SAR, InSAR, ISAR Data (H3)
Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: DEM, DSM, DTM, Generation Using Radar, SAR, IFSAR, INSAR, InSAR (H2)
Section: Forest Analysis, IFSAR, SAR, Radar (H4)
Section: Fusion, Radar Data, SAR Data with Visible Imagery (H3)
Section: Highly Squinted Radar, Highly Squinted SAR (H3)
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Section: Interference Mitigation, Radars, SAR (H3)
Section: Interferometric SAR Analysis, InSAR, IFSAR, ISAR (H2)
Section: Interferometric SAR, Moving Targets, Maneuvering Targets, Motion Effects (H3)
Section: Jamming Mitigation, Radars, SAR (H3)
Section: Land Cover, Land Use Change Analysis for Radar and SAR (H4)
Section: Moving Targets, Radar, Radar Tracking, SAR Applications (H3)
Section: Polarimetric Interferometric SAR, PolInSar (H3)
Section: PolSAR, Polarimetric, Polarimetry, Radar Polarization (H3)
Section: Power Line Extraction, Powerline Extraction, Radar, SAR, Lidar, Laser, Depth (H2)
Section: Radar for Land Cover, SAR for Land Cover, Remote Sensing (H2)
Section: Radar, SAR Analysis (H1)
Section: Radar, SAR, Autofocus, Focus (H2)
Section: Radar, SAR, Microwave Scattering Models (H2)
Section: Radar, SAR, Ship Detection (H4)
Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
Section: Remote Sensing General Issue, Land Use, Land Cover (H)
Section: SAR Simulation (H3)
Section: SAR, Generation, Image Construction, Reconstruction (H2)
Section: SAR, Radar Altimetry (H3)
Section: Slope, Shape and Depth from Radar and SAR (H2)
Section: Spaceborne Interferometric SAR, Satellite Based (H3)
Section: Spotlight Radar, Spotlight SAR (H2)
Section: Tomography, SAR Tomography, Tomographic SAR, TomoSAR (H3)
Section: Transmission Towers, Pylons, Poles, Extraction, Radar, SAR, Lidar, Laser, Depth (H3)
Section: Tunnels, Tunnel Descriptions, Tunnel Analysis (H2)
Section: Vehicle Detection, SAR (H3)
Section: Water Detection Using SAR (H2)
* Application of Random Transform Techniques to Wake Detection in Seasat-A SAR Images
* Image-Reconstruction from Fourier-Transform Magnitude with Applications to Synthetic-Aperture Radar Imaging
* Multiregion Level-Set Partitioning of Synthetic Aperture Radar Images
* New Statistical Similarity Measure for Change Detection in Multitemporal SAR Images and Its Extension to Multiscale Change Analysis, A
* Performance of a High-Resolution Polarimetric SAR Automatic Target Recogniton System
* Remote Sensing with Imaging Radar
47 for SAR

SAR, Roads Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Section: Road Extraction in Radar, SAR, Lidar, Laser, Depth (H2)

SAR/K * .">SAR/
* .">SAR/

Sardis Award * *IEEE Trans. Intelligent Transportation Systems

Sardis Award, Research Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Cooperative Adaptive Cruise Control in Real Traffic Situations
* Development and Evaluation of a Cooperative Vehicle Intersection Control Algorithm Under the Connected Vehicles Environment
* Distributed Consensus Strategy for Platooning of Vehicles in the Presence of Time-Varying Heterogeneous Communication Delays
* Predicting Taxi-Passenger Demand Using Streaming Data

Sardis Award, Survey Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Data-Driven Intelligent Transportation Systems: A Survey
* Review of Communication, Driver Characteristics, and Controls Aspects of Cooperative Adaptive Cruise Control (CACC), A
* Review of Microscopic Lane-Changing Models and Future Research Opportunities
* Wireless Sensor Networks for Condition Monitoring in the Railway Industry: A Survey

Satellite SAR Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: Spaceborne Interferometric SAR, Satellite Based (H3)

Satellite Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Section: Radiometric Calibration of Remote Sensing, Satellite and Space Images (H3)
Section: Rainfall Analysis, Rain, Precipitation, Satellite Based Systems (H4)

Savanna Section: Biomass Evaluations Pasture, Grassland, Rangeland, Savanna (H4)
Section: Pasture, Grassland, Rangeland Analysis and Change (H3)
Section: Remote Sensing General Issue, Land Use, Land Cover (H)
Section: Trees in Pasture, Grassland, Rangeland, Savanna, Shrubs (H4)

Scalable Video Coding Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Section: Rate-Distortion Tradeoff Issues, Scalable Video Coding, SVC (H4)
Section: Scalable Video Coding, SVC, Extensions AVC/H.264 (H4)

Scale-Space Matching Section: Hierarchical/Scale-Space Contour Matching and Descriptions (H3)
Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)

Scale Space Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
Section: Filters in Scale Space (H3)
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
Section: Multiple Resolution Edge Detectors to Improve Performance, Hierarchical, Multi-Scale (H2)
Section: Multiresolution, Hierarchical Restoration Techniques (H3)
Section: Optical Flow Field Computations and Use (H)
Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
Section: Scale Space -- Lindeberg References (H3)
Section: Scale Space and Multi-Scale Techniques (H1)
Section: Scale Space Computation of Features (H2)
Section: Scale Space for Descriptions (H2)
Section: Scale Space Theory (H2)
* Abstraction and Scale-Space Events in Image Understanding
* Accurate Edge Detection for Multiple Scale Processing
* Behavior of Edges in Scale Space
* Estimation of Discontinuous Displacement Vector Fields with the Minimum Description Length Criterion
* Fast Algorithms for Estimating Local Image Properties
* Framework for Adaptive Scale Space Tracking Solutions to Problems in Computational Vision, A
* Generic Neighborhood Operators
* Hierarchical Pre-Segmentation without Prior Knowledge
* Histogram Analysis Using A Scale Space Approach
* Lambda-Tau-Space Representation of Images and Generalized Edge Detector
* Reasoning about Edges in Scale Space
* Renormalized Curvature Scale Space and the Evolution Properties of Planar Curves, The
* Representation for Visual Information, A
* Scale Space Aspect Graph, The
* Scale-Based Detection of Corners of Planar Curves
* Scale-Space Properties of the Multiscale Morphological Dilation Erosion
* Segmentation of Multidimensional Images
* Signal Matching Through Scale Space
* Singularities of Contrast Functions in Scale Space
* Structure of Images, The
* Transform for Multiscale Image Segmentation by Integrated Edge and Region Detection, A
* Unified Perspective on Computational Techniques for the Measurement of Visual Motion, A
40 for Scale Space

Scatter Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: SAR, InSAR, Surface Deformation with Persistent, Permanent Scatter (H4)

Scattering Model Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: Radar, SAR, Microwave Scattering Models (H2)

Scene Analysis, Early papers Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
* How to See a Simple World: An Exegesis of Some Computer Programs for Scene Analysis

Scene Flow Section: Optical Flow Field Computations and Use (H)
Section: Scene Flow, Depth Image Flow, RGB-D (H2)

Scene Graph Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
Section: Scene Graph Construction, Scene Graph Generation (H2)

Scene Segmentation Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
Section: Video Analysis, Cut Detection, Scene Segmentation, Shot Detection, Shot Boundary (H3)

Scene Text Section: Find Text in Video Scenes (H4)
Section: OCR, Document Analysis and Character Recognition Systems (H)
Section: Recognize Text, Read Text from Signs in General Scenes (H4)
Section: Scene Text, Assistance for Visually Imapired (H4)
Section: Speech Ballons in Comics, Comic Analysis, Panel Detection (H4)
Section: Text Detection, Find Text in General Scenes, Scene Text (H3)
Section: Text Detection, Scene Text, Curved Text, Arbitrary Orientation (H4)
Section: Text in Scenes, Stroke Based, Contour Based (H4)
8 for Scene Text

Schizophrenia Analysis Section: Brain, Schizophrenia (H2)
Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)

Scoliosis Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
Section: Medical Applications, Scoliosis (H3)

Screen Content Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Section: Screen Content Image Quality Evaluation (H3)

Script Line Extraction Section: Cursive Script, Historical Documents, Text Line Segmentation, Script Line, Segmentation, Text Line Extraction (H4)
Section: OCR, Document Analysis and Character Recognition Systems (H)

Sea Ice Detection Section: Icebergs, Ice Floe, Sea Ice (H3)
Section: Remote Sensing General Issue, Land Use, Land Cover (H)
Section: Sea Ice Detection, Sea-Ice Analysis (H2)

Sea Ice Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* SAR Sea-Ice Image Analysis Based on Iterative Region Growing Using Semantics

Sea Level Section: Remote Sensing General Issue, Land Use, Land Cover (H)
Section: Sea Level Measurement and Change, Satellite Altimetric Data (H2)

Sea Surface Salinity Section: Remote Sensing General Issue, Land Use, Land Cover (H)
Section: Sea Surface Salinity, SSS, SMOS (H3)

Sea Surface Temperature Section: ENSO, El Nino Southern Oscillation, Ocean Temperature (H4)
Section: Ocean Temperature, Sea Surface Temperature, SST (H3)
Section: Remote Sensing General Issue, Land Use, Land Cover (H)

Sea Surface Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Section: Waves, Ocean Waves, Wave Heights, Sea Surface Effects (H2)
Section: Wind and Waves, Sea Surface Effects (H2)

Seagrass Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Section: Seagrass (H2)

Seal Recogniton Section: Chinese Character Seals (H3)
Section: OCR, Document Analysis and Character Recognition Systems (H)

Search Techniques Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Machine Vision as State-Space Search

Search Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
Section: Matching Using Tree Searching Techniques, Heuristic Search (H2)

Seasonal Analysis Section: Land Cover Change Analysis, Seasonal, Annual Variations, Climate Change, Analysis (H3)
Section: Remote Sensing General Issue, Land Use, Land Cover (H)

Security Section: Biometrics, Privacy Issues, Security Issues (H3)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
Section: Security, Privacy in Vehicle Networks, VANET (H4)

Sediment Section: Remote Sensing General Issue, Land Use, Land Cover (H)
Section: Sediment, Suspended Sediment, Silt, Water Quality (H3)

Segmentation Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
Section: Active Contours and Snakes, Region Segmentation Issues (H3)
Section: Active Contours and Snakes, Segmentations, Flow, Gradient Flow (H4)
Section: Binarization: Threshold selection for documents, Character Enhancement (H3)
Section: Brain, Cortex, General Segmentation Issues (H2)
Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Section: Character Segmentation, Segmentation of Individual Characters (H2)
Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: Convolutional Neural Networks for Object Detection and Segmentation (H4)
Section: Document Layout, Document Segmentation, Page Layout, Structure Analysis (H3)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
Section: Interactive 3D Segmentations, Depth, Range, Stereo (H4)
Section: Interactive Medical Image Segmentations (H4)
Section: Interactive Region Segmentations, Snakes, User-Assisted Segmentation (H4)
Section: Iris Detection, Segmentation and Localization Systems (H3)
Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
Section: OCR, Document Analysis and Character Recognition Systems (H)
Section: Other Segmentation Techniques (H1)
Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
Section: Radar, Extraction of Features, Segmentation (H2)
Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
Section: Segmentation, Features, Models from Magnetic Resonance Data, MRI (H2)
Section: Syntactic Methods for Region Segmentation (H2)
Section: Tomographic Object Construction, Object Extraction, Analysis, Organs (H2)
Section: Unsupervised Clustering and Optimal Clusters for Segmentation (H3)
Section: Variational Models, Snake Models, Active Contours (H4)
* Adaptive segmentation of MRI data
* Automatic Segmentation and Indexing in a Database of Bird Images
* Edge- and region-based segmentation technique for the extraction of large, man-made objects in high-resolution satellite imagery
* Final Report
* Learning a color distance metric for region-based image segmentation
* Region Growing in Textured Outdoor Scenes
* Registration and Exploitation of Multi-pass Airborne Synthetic Aperture Radar Images
* Robust Image Segmentation Using Genetic Algorithm with a Fuzzy Measure
35 for Segmentation

Segmentation, 2-D Histogram Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
Section: Two-Dimensional Histogram Analysis for Segmentation (H2)
* Clustering Edge Values for Threshold Selection
* Progress Report of Segmentation Using Convergent Evidence

Segmentation, 3-D Data Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Curvature and Features of Surfaces and Range Data (H2)
Section: Point Cloud Classification (H3)
Section: Region Techniques for Range and Surfaces (H2)
Section: Surface Patches, Planes, Descriptions from Range (H2)
* Segmentation Through Symbolic Surface Descriptions
7 for Segmentation, 3-D Data

Segmentation, Algorithms Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* Algorithms for Image Segmentation

Segmentation, Binarization Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
Section: OCR, Document Analysis and Character Recognition Systems (H)
Section: Segmentation by Thresholding, Quantization, or Relaxation (H2)
* Block Segmentation and Text Extraction in Mixed Text/Image Documents
* Evaluation of Binarization Methods for Document Images
* Goal-Directed Evaluation of Binarization Methods
* Gray Level Thresholding in Badly Illuminated Images
* IBM 1975 Optical Page Reader, Part II: Video Thresholding, The
* Iterative Thresholding Algorithm for Image Segmentation, An
* Picture Thresholding Using an Iterative Selection Method
* Segmentation of Document Images
* Spatial Thresholding Method for Image Segmentation, A
* Threshold Selection Based on a Simple Image Statistic
13 for Segmentation, Binarization

Segmentation, Blobs Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Detecting and Extracting Compact Textured Regions Using Pyramids
* Detection and Segmentation of Blobs in Infrared Images, The
* Maximum Likelihood Estimation of Markov-Process Blob Boundaries in Noisy Images
* Multi-scale Region Detector, A
* Using Pyramids to Define Local Thresholds for Blob Detection

Segmentation, Clustering Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
Section: Classification Methods, Clustering for Region Segmentation (H2)
* On Threshold Selection Using Clustering Criteria

Segmentation, Color Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
Section: Color Applied to Segmentation (H1)
Section: Color Segmentation, Healey (H2)
Section: Complete Segmentation Systems Based on Ohlander Technique (H2)
Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Application of Color Information to Visual Perception
* Color Image Analysis with an Intrinsic Reflection Model
* Color Image Segmentation Using Markov Random Fields
* Compression of Color Image via the Technique of Surface Fitting
* Computational Techniques in the Visual Segmentation of Static Scenes
* Hierarchical Color Image Region Segmentation for Content-Based Image Retrieval System
* Iterative Segmentation Method Based on a Contextual Color and Shape Criterion, An
* Multiresolution Color Image Segmentation
* Physics-Based Segmentation of Complex Objects Using Multiple Hypotheses of Image-Formation
* Production System for Region Analysis, A
* Recursive Clustering Technique for Color Picture Segmentation, A
* Relaxation Methods in Multispectral Pixel Classification
* Scene Segmentation by Cluster Detection in Color Space
19 for Segmentation, Color

Segmentation, Combined with Edges Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
Section: Combining Region and Edge Based Techniques (H1)

Segmentation, Comparison Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
Section: Comparison and Evaluation of Different Techniques, Segmentation Evaluation, Benchmarks (H1)

Segmentation, Context Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
Section: Techniques for Model Guided Segmentation, Context in Segmentation (H1)

Segmentation, Criteria Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* Image Segmentation Techniques

Segmentation, Curves Section: Basic Algorithms to Partition Curves, Represent Curves (H2)
Section: Basic Algorithms to Partition Curves, The Early Days (H2)
Section: Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)

Segmentation, Divide and Conquer Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* Boundary Detection of Radiographic Images by a Threshold Method

Segmentation, Edges Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Active Contours, Snakes or Deformable Curves (H2)
Section: Combining Region and Edge Based Techniques (H1)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Edge and Region Analysis for Digital Image Data
* Finding Object Boundaries Using Guided Gradient Ascent
* Integrating Region Growing and Edge Detection
* Locating Cultural Regions in Aerial Imagery using Geometric Cues
* New Method for Image Segmentation, A
* Parallel Color Algorithm for Segmenting Images of 3-D Scenes, A
* Scene Analysis Using Regions
* Segmentation of Fingerprint Images Using the Directional Image
* Segmentation System Based on Thresholding, A
14 for Segmentation, Edges

Segmentation, Evaluation Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
Section: Comparison and Evaluation of Different Techniques, Segmentation Evaluation, Benchmarks (H1)
* Comparative Performance Study of Several Global Thresholding Techniques for Segmentation, A
* Comparison of Some Segmentation Algorithms for Cytology, A
* Error Measures for Scene Segmentation
* Low Level Image Segmentation: An Expert System
* MOOSE Users' Manual Implementation Guide Evaluation
* Multiresolution Color Image Segmentation
* On the Evaluation of Scene Analysis Algorithms
* Phoenix Image Segmentation System: Description and Evaluation, The
* Segmentation of FLIR Images: A Comparative Study
* Survey on Evaluation Methods for Image Segmentation, A
12 for Segmentation, Evaluation

Segmentation, Expert system Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* Low Level Image Segmentation: An Expert System
* Rule-Based Image Segmentation: A Dynamic Control Strategy Approach

Segmentation, Facet Model Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Edge and Region Analysis for Digital Image Data
* Experiments in Segmentation Using a Facet Model Region Grower
* Generalized Sloped Facet Models Useful in Multispectral Image Analysis

Segmentation, Grouping Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: Perceptual Grouping, Perceptual Organization Techniques, Saliency (H1)
* Perceptual Organization for Segmentation and Description

Segmentation, Guided Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
Section: Co-Segmentation, Cosegmentation (H2)
Section: Fua and Leclerc Guided Segmentation Papers (H2)
Section: Instance Segmentation (H2)
Section: Techniques for Model Guided Segmentation, Context in Segmentation (H1)

Segmentation, Histogram Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
Section: Complete Segmentation Systems Based on Ohlander Technique (H2)
Section: Complete Systems Derived from the Univ. Massachusetts Work (H2)
Section: Histogram Analysis for Threshold Selection and Segmentation (H2)
Section: Two-Dimensional Histogram Analysis for Segmentation (H2)
* Clustering Edge Values for Threshold Selection
* Comparison of Some Segmentation Algorithms for Cytology, A
* Image Segmentation by a Parallel, Non-Parametric Histogram Based Clustering Algorithm
* Iterative Thresholding Algorithm for Image Segmentation, An
* Object Enhancement and Extraction
* Picture Segmentation Using a Recursive Region Splitting Method
* Probabilistic Information Fusion for Multi-Modal Image Segmentation
* Progress Report of Segmentation Using Convergent Evidence
* Scene Segmentation by Cluster Detection in Color Space
14 for Segmentation, Histogram

Segmentation, Instance Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
Section: Instance Segmentation (H2)

Segmentation, Knowledge Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
Section: Fua and Leclerc Guided Segmentation Papers (H2)
Section: Techniques for Model Guided Segmentation, Context in Segmentation (H1)
* Decision Theory and Artificial Intelligence: I. A Semantics Based Region Analyzer
* IGS: A Paradigm for Integrating Image Segmentation and Interpretation
* Integrating Non-Semantic Knowledge into Image Segmentation Processes
* Integration Scheme for Image Segmentation and Labeling Based on Markov Random-Field Model, An
* Region Segmentation: Signal vs. Semantics
8 for Segmentation, Knowledge

Segmentation, Learning Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* Genetic Learning for Adaptive Image Segmentation
* Unsupervised Image Segmentation Using A Distributed Genetic Algorithm

Segmentation, MDL Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* Fast Algorithm for MDL-Based Multi-Band Image Segmentation, A

Segmentation, Model Based Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Fua and Leclerc Guided Segmentation Papers (H2)
Section: Remote Sensing General Issue, Land Use, Land Cover (H)
Section: Techniques for Model Guided Segmentation, Context in Segmentation (H1)
* Scene Analysis Using a Semantic Base for Region Growing
* Structural Analysis of Complex Aerial Photographs, A
* Visual Identification of People by Computer
8 for Segmentation, Model Bas

Segmentation, Motion Section: Image Segmentation from Motion Information (H2)
Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
Section: Video Object Segmentation (H3)

Segmentation, MRF Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
Section: MRF Models for Segmentation (H2)
* Color Image Segmentation Using Markov Random Fields
* Computational Approach to Boundary Detection, A
* Results Using Random Field Models for the Segmentation of Color Images

Segmentation, Multi-Level Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
Section: Multi-level, Multi-Scale Segmentation and Smoothing Methods (H2)
* Boundary Detection of Radiographic Images by a Threshold Method
* Image Surface Approximation with Irregular Samples
* Threshold Selection Using Quadtrees

Segmentation, Objects Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: Grouping, Figure-Ground, Background, Foreground (H2)

Segmentation, Ohlander Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
Section: Complete Segmentation Systems Based on Ohlander Technique (H2)
* Picture Segmentation Using a Recursive Region Splitting Method

Segmentation, Quantization Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* Optimal Multiple Threshold Scheme for Image Segmentation, An

Segmentation, Range Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
Section: Curvature and Features of Surfaces and Range Data (H2)
Section: Depth Object Segmentation, Point Cloud Segmentation (H3)
Section: Features of Surfaces and Range Data, Ridges, Edges (H3)
Section: Point Cloud Classification (H3)
Section: Range Data, Point Cloud Processing and Analysis (H3)
Section: Region Techniques for Range and Surfaces (H2)
Section: Surface Patches, Planes, Descriptions from Range (H2)
* Computing Exact Discrete Minimal Surfaces: Extending and Solving the Shortest Path Problem in 3D with Application to Segmentation
* Range Segmentation Using Visibility Constraints
* Segmentation Through Symbolic Surface Descriptions
* Use of Range and Reflectance Data to Find Planar Surface Regions
14 for Segmentation, Range

Segmentation, Recursive Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* Recursive Region Extraction

Segmentation, Region Growing Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Segmentation by Region Growing Techniques (H1)
Section: Superpixel Region Extraction, Region Growing (H2)
* MIR: An Approach to Robust Clustering-Application to Range Image Segmentation
* Parallel Technique for Signal-Level Perceptual Organization, A
* Region Coloring Technique for Scene Analysis, A
* Scene Analysis Using Regions
* Texture Information-Directed Region Growing Algorithm for Image Segmentation and Region Classification, A
9 for Segmentation, Region Growing

Segmentation, Region Merging Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
Section: Segmentation by Region Growing Techniques (H1)
Section: Segmentation by Split and Merge Techniques, Hierarchical (H1)
* Segmenting Images Using Localized Histograms and Region Merging

Segmentation, Region Splitting Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
Section: Segmentation by Split and Merge Techniques, Hierarchical (H1)
* Picture Segmentation Using a Recursive Region Splitting Method

Segmentation, Relaxation Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
Section: Segmentation by Thresholding, Quantization, or Relaxation (H2)
* Segmentation of Images Using a Relaxation Technique

Segmentation, Rule-Based Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* Angy: A Rule-Based Expert System for Identifying and Isolating Coronary Vessels in Digital Angiograms

Segmentation, Shadows Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* Combining Color and Geometry for the Active, Visual Recognition of Shadows
* Shadow Identification

Segmentation, Shapes Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* Using Generic Geometric Models for Intelligent Shape Extraction

Segmentation, Split and Merge Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
Section: Segmentation by Split and Merge Techniques, Hierarchical (H1)
* Parallel Color Algorithm for Segmenting Images of 3-D Scenes, A
* Picture Segmentation by a Tree Traversal Algorithm
* Segmentation by Texture Using a Co-Occurrence Matrix and a Split-and-Merge Algorithm

Segmentation, Surfaces Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* Segmentation Through Symbolic Surface Descriptions

Segmentation, Survey Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
Section: Segmentation, Survey and General Topics (H1)
* Comparison of Some Segmentation Algorithms for Cytology, A
* Computational Techniques in the Visual Segmentation of Static Scenes
* Image Segmentation
* Region Growing: Childhood and Adolescence
* Survey of Threshold Selection Techniques, A
* survey on Image Segmentation, A
8 for Segmentation, Survey

Segmentation, Systems Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
Section: Other Complete Systems (H2)
* Picture Segmentation Using a Recursive Region Splitting Method
* Recursive Region Segmentation by Analysis of Histograms
* Region Growing in Textured Outdoor Scenes
* Segmenting Images Using Localized Histograms and Region Merging

Segmentation, Three Classes Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* Object Enhancement and Extraction

Segmentation, Thresholds Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
Section: Complete Segmentation Systems Based on Ohlander Technique (H2)
Section: Fuzzy Threshold Segmentation (H2)
Section: Global - Threshold Based Segmentation Techniques (H1)
Section: Histogram Analysis for Threshold Selection and Segmentation (H2)
Section: Other Threshold Selection Systems (H2)
Section: Segmentation by Thresholding, Quantization, or Relaxation (H2)
Section: Two-Dimensional Histogram Analysis for Segmentation (H2)
* Fast Pyramidal Algorithms for Image Thresholding
* Segmentation of Blood Smears by Hierarchical Thresholding
* Segmentation System Based on Thresholding, A
* Survey of Threshold Selection Techniques, A
* Survey of Thresholding Techniques, A
13 for Segmentation, Thresholds

Segmentation, Unimodal Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* Fast Thresholding Selection Procedure for Multimodal and Unimodal Histograms, A
* Minimum Error Thresholding
* Segmentation of Images Having Unimodal Distributions

Segmentation, Watershed Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
Section: Watershed Algorithms, Watershed Segmentation (H2)

Segmented Descriptions Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Structured Description of Complex Objects

Seismic Inversion Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
Section: Seismic Inversion, Seismic Data Processing (H4)

Seismic Processing Section: Earthquakes (H4)
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
Section: Seismic Analysis, Geological Analysis, Wells (H3)
Section: Seismic Inversion, Seismic Data Processing (H4)

Seismic Vulnerability Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Section: Disaster Management, Seismic Vulnerability, Earthquakes (H4)

Seismic Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Section: Geologic Mapping, Geology Analysis, Mineralogy, Fault Zones (H1)
Section: Landslide Analysis, Earthquake Related, Seismic Analysis (H4)
Section: Remote Sensing General Issue, Land Use, Land Cover (H)

Seismology Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
Section: Seismic Analysis, Geological Analysis, Wells (H3)
Section: Seismic Inversion, Seismic Data Processing (H4)

Self-Organizing Map Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
Section: Self-Organizing Map Classification (H2)

Self-Supervised Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
Section: Self-Supervised Learning for Object Detection and Segmentation (H2)
Section: Self-Supervised Learning (H2)
Section: Weakly Supervised, Self Supervised Semantic Segmentation (H3)

Self Calibration Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
Section: Camera Calibration, Self Calibration, Autocalibration, Auto-Calibration (H2)

Semantic Correspondence Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
Section: Semantic Correspondence, Semantic Alignment (H2)

Semantic Object Detection Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Semantic Object Detection, 3D, Depth (H3)

Semantic Segmentation Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Convolutional Neural Networks for Semantic Segmentation, CNN (H4)
Section: Domain Adaption for Semantic Segmentation (H3)
Section: Efficient Semantic Segmentation, Real-Time Segmentation (H3)
Section: Generative Adversarial Network, GAN, Semantic Segmentation (H4)
Section: Medical Image Semantic Segmentation (H3)
Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
Section: Neural Networks for Semantic Segmentation (H4)
Section: Remote Sensing Semantic Segmentation (H3)
Section: Semantic Object Detection, 3D, Depth (H3)
Section: Semantic Segmentation, Label and Segment Together (H2)
Section: Video Semantic Object Segmentation (H3)
Section: Weakly Supervised, Self Supervised Semantic Segmentation (H3)
14 for Semantic Segmentation

Semi-Supervised Clustering Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
Section: Semi-Supervised Clustering, Semi-Supervised Learning, Classification (H2)

Semi-Supervised Learning Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
Section: Semi-Supervised Clustering, Semi-Supervised Learning, Classification (H2)

Semi-Supervised Object Detection Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: Semi-Supervised Object Detection (H3)

Semi-Supervised Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
Section: Semi-Supervised Clustering, Semi-Supervised Learning, Classification (H2)

Sensor Fusion * *Sensor Fusion II: Human and Machine Strategies
* *Signal Processing, Sensor Fusion, and Target Recognition V
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
Section: ATR -- Multiple Sensors, Multiple Algorithms, Fusion (H2)
Section: Biometrics, Cross-Modal, Multi-Modal Systems, Multibiometrics, Combined Face and Other Features, Fusion (H2)
Section: Books, Collections, Overviews, General, and Surveys (H)
Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Fusion of Hyperspectral Images (H4)
Section: Fusion of LANDSAT or Sentinel Images (H4)
Section: Fusion, General Multi-Modal (H3)
Section: Fusion, Radar Data, SAR Data with Visible Imagery (H3)
Section: Fusion, Range or Depth and Intensity or Color Data (H3)
Section: Image and Sensor Fusion -- General (H2)
Section: Image and Sensor Fusion -- IR and Thermal with Visible (H3)
Section: Image and Sensor Fusion -- Review and Survey Articles, Evaluations (H3)
Section: Image and Sensor Fusion for Cartography and Aerial Images, Satellite Images, Remote Sensing (H3)
Section: Information Fusion, Sensor Fusion (H3)
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
Section: Pansharpening, Fusion of Aerial Images (H3)
Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
Section: Shape Computations from Multiple Sensors (H1)
Section: Stereo and Depth Using Thermal and Visible, 3D Features, Objects (H4)
Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
Section: Target Tracking, Multiple Sensors, Multiple Cameras, Multi-Camera Tracking (H3)
* Analysis of Thermal Infrared and Visual Images for Industrial Inspection Tasks
* Architecture for Sensor Fusion in a Mobile Robot, An
* Automatic MR-PET Registration Algorithm
* Data Fusion for Sensory Information Processing Systems
* Data Fusion in Robotics and Machine Intelligence
* Distributed Fusion Architectures and Algorithms for Target Tracking
* Epipolar Parametrization, The
* Integrated Modelling of Thermal and Visual Image Generation
* Integration, Coordination and Control of Multi-Sensor Robot Systems
* Modeling and Fusion of Radar and Imaging Sensor Data for Target Tracking
* Multiple Sensor Integration/Fusion through Image Processing: A Review
* Multisensor Integration: Experiments in Integrating Thermal and Visual Sensors
* On the Positioning of Multisensor Imagery for Exploitation and Target Recognition
* Planning Sensing Strategies in Robot Work Cell with Multi-Sensor Capabilities
* Robotic Object Recognition Using Vision and Touch
* Sensor Fusion in Certainty Grids for Mobile Robots
* Statistical cue integration in DAG deformable models
* Three-Dimensional Shape Construction and Recognition by Fusing Intensity and Structured Lighting
* Unified Modeling of Nonhomogeneous 3D Objects for Thermal and Visual Image Synthesis
46 for Sensor Fusion

Sensor Fusion, Thermal, Visible Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
* New Method for Acquiring Time-Sequential Range Images by Integrating Stereo Pairs of Thermal and Intensity Images, A

Sensor Identification Section: OCR, Document Analysis and Character Recognition Systems (H)
Section: Source Camera Identification, Camera Fingerprint (H3)

Sensor Networks Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
Section: Sensor Networks (H4)

Sensor Path Planning Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
Section: Planning Sensor Position, View Selection, View Planning, Next View (H3)

Sensor Planning * 3-D Modeling from Range Imagery: An Incremental Method with a Planning Component
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
Section: Camera Position, Sensor Position for Model Generation (H3)
Section: Planning Optimal Sensor Positions, Optimal View Planning, Optimal Next View (H4)
Section: Planning Sensor Position, View Selection, View Planning, Next View (H3)

Sensors Section: Complex Log Mapping, Algorithms and Sensors (H2)
Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: Sensors for Machine Vision, Image Sensors (H1)
Section: Space Based, Satellite Sensors (H2)
* Computational Sensors
* Image capture: Simulation of sensor responses from hyperspectral images

Sensors, Lasers Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: Laser Sensors for Range, Time of Flight (H3)

Sensors, Log Polar Map Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
Section: Complex Log Mapping, Algorithms and Sensors (H2)
Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* Connectivity Graphs in Space-Variant Active Vision
* Disparity Estimation on Log-Polar Images and Vergence Control

Sensors, Optical Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: Optical Sensors for Machine Vision (H2)

Sensors, Range Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: Depth, Range Sensors for Machine Vision (H2)
Section: Stereo Sensors for Range (H2)
Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)

Sensors, Sonar Section: Acoustic, Sonar Sensors for Range, Underwater Acoustic Sensing (H3)
Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)

Sensors, Space Variant Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* Miniaturized Space-Variant Active Vision System: Cortex-I, A

Sensors, Touch Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
* Integrating Vision and Touch for Object Recognition Tasks

Sentiment Analysis Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Visual Sentiment Evaluation (H4)

Sentinel-N Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
Section: Radiometric Calibration of Sentinel-1, 2, 3, Systems (H3)

Sentinel Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
Section: Remote Sensing General Issue, Land Use, Land Cover (H)
Section: Sentinel-1, -2, -3 for Land Cover, Remote Sensing (H3)
Section: Soil Moisture, Sentinel 1, 2, 3, Data (H3)
Section: Super Resolution for Sentinel Sensors (H4)

Separable Filters Section: Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
* Fast Computation of Unbiased Intensity Derivatives in Images Using Separable Filters

Separable Templates Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* Simplified Algorithm for Approximate Separable Decomposition of Morphological Templates, A

Sequence Analysis Section: Detection of Moving Objects from Image Sequences or Video (H2)
Section: Graph Cut Motion Segmentation, Background-Foreground Extraction (H3)
Section: Hough, Voting, Accumulation Methods for Moving Object Extraction (H3)
Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
Section: Moving Object Extraction Using Edges (H3)
Section: Moving Object Extraction with Moving Cameras (H3)

Sequence Database Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
* Pattern Detection in Biomolecules Using Synthesized Random Sequence

Sequences Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
Section: General Spatio-Temporal Analysis (H2)
Section: Image Segmentation from Motion Information (H2)
Section: Integration over a Sequence, Incremental Recovery (H2)
Section: Long Sequence Matching and Motion (H2)
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
Section: Motion Detection, Analysis of Motion Detectors (H2)
Section: Motion Estimates Using 5 or More Frames (H2)
Section: Region, Object, Target Tracking (H2)
Section: Shape from Specularities -- Multiple Images (H2)
Section: Spatio-Temporal Analysis -- Many Frames (H1)
Section: Spatio-Temporal Filtering (H2)
Section: Tracking of Moving Objects and Matching in Sequences (H1)
Section: Video Semantic Object Segmentation (H3)
15 for Sequences

Shading and Stereo Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
* Surface Reconstruction from Disparate Shading: An Integration of Shape-from-Shading and Stereopsis

Shading from Shape Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
* Determining Reflectance Parameters Using Range and Brightness Images

Shadow Analysis Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
Section: Buildings from Single Image, Shape Analysis, Color, Shadows (H2)
Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Section: Three-Dimensional Information from Shadows (H1)
* Buildings Detection and Description from Monocular Aerial Images
* Classification of Edges for Object Detection in Aerial Images
* Detection of Buildings from Monocular Views of Aerial Scenes Using Perceptual Grouping and Shadows
7 for Shadow Analysis

Shadow Detection Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
Section: Cloud Shadows, Combined Cloud and Shadow, Extraction and Removal (H2)
Section: Remote Sensing General Issue, Land Use, Land Cover (H)
Section: Shadow Detection, Removal and Extraction (H2)
Section: Shadows and Motion, Detection and Extraction (H3)
* Evaluating the Effects of Shadow Detection on QuickBird Image Classification and Spectroradiometric Restoration
* Remote Sensing and Cast Shadows in Mountainous Terrain
7 for Shadow Detection

Shadow Removal Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
Section: Shadow Detection, Removal and Extraction (H2)

Shadows Section: Face Analysis, Shading, Illumination and Color Variations (H2)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)

Shake Section: Image Shake, Video Shake, Phone (H3)
Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)

Shallow Water Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Section: Shallow Water Bathymetric Mapping, Analysis (H3)

Shape Decomposition Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Parts of Planar Shapes

Shape Features Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: Computation of Shape Features of Two Dimensional Objects (H1)

Shape from Contours Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
Section: Multiple Contours and Images (H2)
Section: Polyhedral Shape from Contours (H2)
Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
Section: Surface and Shape from Contours or Silhouettes (H1)
Section: Surfaces from Contours -- Ulupinar (H2)
* Camera Network Calibration and Synchronization from Silhouettes in Archived Video
* Multimodal 3D Shape Recovery from Texture, Silhouette and Shadow Information
* Recovery of Superquadrics from 3D Information
11 for Shape from Contours

Shape from Defocus Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
Section: Depth and Shape from Focus, Changing Camera Parameters (H1)

Shape from Focus Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
Section: Depth and Shape from Focus, Changing Camera Parameters (H1)

Shape from Grid Patterns Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
Section: Grid Patterns (H2)

Shape from Light Stripes Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
Section: Light Stripes (H2)

Shape from Monocular Cues Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
Section: Three-Dimensional Reconstruction from Different Views (H1)

Shape from Motion * 3-D Object Reconstruction Using Stereo and Motion
Section: Aerial Vehicle Based Structure, UAV, Depth, and Shape from Motion (H2)
Section: Ground Vehicle Based Structure, Depth, and Shape from Motion (H2)
Section: Hand-Held Camera Reconstruction, Phone Based Reconstruction, Shape from Motion (H2)
Section: Illumination Variations in Structure, Depth, and Shape from Motion (H2)
Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
Section: Non-Rigid Shape from Motion, Point Methods (H2)
Section: Rolling Shutter and Shape from Motion (H2)
Section: Shape from Motion, Learning, Neural Nets (H2)
Section: Structure, Depth, and Shape from Motion (H1)
10 for Shape from Motion

Shape from Multiple Cues Section: Integration of Different Shape-from-X Cues (H1)
Section: Shape from Two or More Properties (H1)
Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)

Shape from Multiple Light Sources Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
Section: Non-Lambertian Photometric Stereo (H2)
Section: Shape from Multiple Light Sources, Photometric Stereo (H1)

Shape from Optical Flow Section: Optical Flow Field Computations and Use (H)
Section: Surface Reconstruction from Optical Flow (H1)

Shape from Panorama Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
Section: Shape and Stereo from Panoramic Views, Stereo from Omnidirectional Images, Plenoptic (H1)

Shape from Perspective Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Section: Shape and Structure from Perspective Effects, Vanishing Points, Detection (H1)
* Modeling and Using Physical Constraints in Scene Analysis

Shape from Polarization Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: Polarization Effects, Polarized Light (H2)

Shape from Radar Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: Interferometric SAR, Moving Targets, Maneuvering Targets, Motion Effects (H3)
Section: SAR, InSAR, Surface Deformation with Persistent, Permanent Scatter (H4)
Section: Slope, Shape and Depth from Radar and SAR (H2)
Section: Surface Deformation From SAR Applied to Earthquakes, Fault Monitoring (H4)
Section: Surface Deformation From SAR Applied to Mine Subsidence (H4)
Section: Surface Deformation from SAR Applied to Volcanoes (H4)
Section: Surface Deformation From SAR, InSAR, IFSAR, Interferometry (H3)
Section: Surface Deformation, Subsidance From SAR Applied in Urban, City Areas (H4)
10 for Shape from Radar

Shape from Shading Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
Section: Shape from Shading -- Horn (H2)
Section: Shape from Shading, General Techniques (H2)
Section: Shape from Shading, Local Techniques (H3)
Section: Shape from Shading, Planes, Planar Faces (H3)
Section: Shape from Shading (H1)
* Computer Analysis of Visual Properties of Curved Objects
* Integrating Vision Modules: Stereo, Shading, Grouping, and Line Labeling
* Physically-Based Adaptive Preconditioning for Early Vision
* Recovery of Superquadrics from 3D Information
* Symmetric Shape-from-Shading Using Self-Ratio Image
16 for Shape from Shading

Shape from Shading, Analysis Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
Section: Analysis of Shape from Shading (H2)
* Analysis of Shape from Shading Techniques

Shape from Shading, Color Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
Section: Shape Using Color Images, Color Photometric Stereo (H2)

Shape from Shading, Multiple Images Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
Section: Non-Lambertian Photometric Stereo (H2)
Section: Shape from Multiple Light Sources, Photometric Stereo (H1)

Shape from Shadows Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
Section: Three-Dimensional Information from Shadows (H1)
* Classification of Edges for Object Detection in Aerial Images
* Methods for Exploiting the Relationship between Buildings and Their Shadows in Aerial Imagery
* Modeling and Using Physical Constraints in Scene Analysis
* Multimodal 3D Shape Recovery from Texture, Silhouette and Shadow Information
* Obtaining 3-D from Shadows in Aerial Images
* Use of Shadows for Extracting Buildings in Aerial Images
10 for Shape from Shadows

Shape from Silhouette Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
Section: Surface and Shape from Contours or Silhouettes (H1)

Shape from Silhouettes Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
* Acquiring 3-D Models from a Sequence of Contours

Shape from Single Image Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Computer Vision Based on a Hypothesization and Verification Scheme by Parallel Relaxation

Shape from Slices Section: Shape Descriptions Computed from a Set of Slices (H1)
Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)

Shape from Sonar Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
* Flat Surface Reconstruction Using Minimal Sonar Readings

Shape from Specularity Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: Shape from Specularities -- Multiple Images (H2)
Section: Shape from Specularities, Specularity Analysis, Highlights (H1)
* Separation of diffuse and specular components of surface reflection by use of polarization and statistical analysis of images

Shape from Structured Light Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
Section: Other Patterns (H2)
Section: Phase Coding Patterns (H2)
Section: Shape from Laser Ranging and Structured Light Images (H1)

Shape from Texture Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
Section: Shape from Texture (H1)
Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
Section: Texture for Surface Orientation (H2)
* Analyzing Oriented Textures Through Phase Portraits
* Computer Identification of Visual Surfaces
* Multimodal 3D Shape Recovery from Texture, Silhouette and Shadow Information
* Shape from Texture Using Markov Random Field Models and Stereo-Windows
9 for Shape from Texture

Shape from Zoom Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
* Dense Reconstruction by Zooming

Shape Measure Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: MDL, Minimum Description Length for Shape Measure (H4)

Shape Prior Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
Section: Active Contours and Snakes, Shape Priors for Segmentation (H4)

Shape Representation Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
* Distortion of Steroscopic Visual Space
* Flexible Search-Based Approach for Morphological Shape Decomposition

Shape Signature Section: Region or Contour Invariants, Signatures, Metrics for Matching (H3)
Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)

Shape, 2D Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: Computing Area, Diameter and Perimeter (H3)
Section: General Shape Computation and Representation (H2)
Section: Shape Computation Surveys, Comparisons (H3)
Section: Shape Measures (H3)

Shape, Survey Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Algorithms for Shape Analysis of Contours and Waveforms
* Review of Algorithms for Shape Analysis, A

Shape, Three-Dimensional - Evaluation Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
* Error Analysis for Surface Orientation from Vanishing Points, An
* Surface Classification: Hypothesis Testing and Parameter Estimation

Shared Ride Systems Section: Bicycle Sharing, Bicycle Commuting, Bike Sharing (H4)
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
Section: Shared Ride Systems, Car Sharing, Taxi, Analysis (H4)

Sharpening Section: Enhancement, Restoration of Document Images, Curls (H3)
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Section: OCR, Document Analysis and Character Recognition Systems (H)
Section: Sharpening, Unsharp Masking (H2)

Sharpness Section: Assessment of Sharpness, Evaluation of Sharpening (H3)
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)

Shearlet Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Section: Shearlet Based Restoration, Noise, Compressive Sensing (H3)

Ship Detection Section: ATR -- Vehicles, Aerial Images, Ship Detection (H3)
Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Section: Radar, SAR, Ship Detection (H4)
Section: Ship Tracking, Ship Trajectory (H4)

Ship Tracking Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Section: Ship Tracking, Ship Trajectory (H4)

Ship Wake Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Section: Ship Wake Detection (H4)

Shock Filters Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: Shock Filters (H3)

Shoeprints Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
Section: Shoeprint Analysis (H2)

Shoppers Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
Section: Surveillance Systems, Applied to Retail Business, Shoppers, Shopping (H3)

Shore Line Detection Section: Remote Sensing General Issue, Land Use, Land Cover (H)
Section: Shore Line Detection, Analysis along Shore Line (H2)

Shore Line Section: Remote Sensing General Issue, Land Use, Land Cover (H)
Section: Shore Line Changes, Erosion (H3)

Shortwave Radiation Section: Net Radiation, Surface Shortwave Net Radiation, Outgoing Shortwave, Radiation Budget (H4)
Section: Remote Sensing General Issue, Land Use, Land Cover (H)

Shot Boundary Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
Section: Video Analysis, Cut Detection, Scene Segmentation, Shot Detection, Shot Boundary (H3)

Shot Detection Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
Section: Video Analysis, Cut Detection, Scene Segmentation, Shot Detection, Shot Boundary (H3)

Shredded Documents Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
Section: Shredded Documents, Document Assembly (H3)

Siamese Networks Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
Section: Siamese Networks for Tracking (H4)
Section: Siamese Networks (H4)

SIFT Definition:* Scale-Invariant Feature Transform.
Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: Scale Invariant Features, SIFT, SURF, ASIFT (H3)

Sign Detection Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Section: Road Signs, Traffic Signs (H3)
* Detection of Vertical Pole-Like Objects in a Road Environment Using Vehicle-Based Laser Scanning Data

Sign Language Section: American Sign Language, ASL Recognition (H3)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Sign Language Generation, Sign Language Synthesis (H4)
Section: Sign Language, Fingerspelling (H4)
Section: Sign Language, General, Other Languages, Chinese, Arabic (H4)

Signature Recognition Section: OCR, Document Analysis and Character Recognition Systems (H)
Section: Off Line Signature Analysis (H4)
Section: On-Line Signatures, Online Signatures (H3)
Section: Signature Recognition, Surveys, Analysis, Comparisons (H4)

Signatures Section: OCR, Document Analysis and Character Recognition Systems (H)
Section: Off Line Signature Analysis (H4)
Section: On-Line Signatures, Online Signatures (H3)
Section: Signature Recognition, Surveys, Analysis, Comparisons (H4)

Signs Section: OCR, Document Analysis and Character Recognition Systems (H)
Section: Recognize Text, Read Text from Signs in General Scenes (H4)
Section: Scene Text, Assistance for Visually Imapired (H4)

Silhouette Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
Section: Surface and Shape from Contours or Silhouettes (H1)

Silhouettes Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Human Pose from Silhouettes (H3)

Similarity Measure Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: Distance Transforms, Distance Functions, Distance Measures (H2)

Similarity Measures Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: Basic Comparison of Relational Network Descriptions (H2)
Section: General Similarity Measures for Database Indexing (H3)
Section: Image Registration -- The Match Technique, Match Measures, Cost Function (H3)
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
Section: Region or Contour Invariants, Signatures, Metrics for Matching (H3)
Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
Section: Similarity Measure, Distance Transforms and Functions for Objects and Shapes (H3)
9 for Similarity Measures

Similarity Section: Distance Measures, Criteria for Clustering (H2)
Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)

Simulated Annealing Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Boltzmann Machine, Simulated Annealing, and Related Topics (H3)
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* Depth and Image Recovery Using a MRF Model
* Registering Multiview Range Data to Create 3D Computer Objects
* Simultaneous Parameter Estimation and Segmentation of Gibbs Random Fields Using Simulated Annealing
8 for Simulated Annealing

Simulation Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: SAR Simulation (H3)

Simulations Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* Simulation and Graphical Interface for Programming, Operation, and Interactive Control of Sensor-based Robots

Single Image Super Resolution Section: Learning, Neural Networks for Single Image Super Resolution (H4)
Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
Section: Single Image Super Resolution (H3)

Single Image Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Gesture Recognition Systems with Static Imaage, Single Image (H4)
Section: Human Action Recognition in Still Images, Single Images (H4)
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
Section: Single Image Dehazing (H4)
Section: Single Image Rain Removal, Color Correction (H4)
Section: Single Image Super Resolution (H3)
9 for Single Image

Single Photon Emission Computed Tomography Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
Section: Single Photon emission computed tomography -- SPECT (H2)

Single Photon Imaging Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: Single-Photon Imaging, Single Photon (H3)

Single Sample Section: Face Recognition Systems from Single Example, One Sample, One Shot (H3)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)

Single Shot Detection Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: One-Shot Object Detection, Single Shot Detector, and Segmentation (H3)

Single Shot Learning Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
Section: One Shot Learning (H3)
Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
Section: Zero-Shot, One-Shot, Few-Shot Learning for Human Action Recognition (H4)

Single View Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
Section: Depth Ordering, Single View 3D Reconstruction (H3)
Section: Monocular 3D Object Detection (H3)
Section: Single Image, Single View 3D Reconstruction, Learning (H2)
Section: Single View 3D Reconstruction, Convolutional Neural Networks, CNN (H3)
Section: Single View 3D Reconstruction, Generative Adversarial Networks, GAN (H3)

Singular Points Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Fingerprint Features, Singular Points (H2)

Singular Value Decomposition Section: Matrix Factorization Approach to Motion and Structure (H2)
Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)

Singular Value Decompostion Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
Section: Singular Value Decompostion, SVD in Face Recognition (H4)

Site Model Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Section: General Site Model Use, Program Surveys (H1)
Section: Site Model Change Detection, Map Update (H3)
Section: Site Model Construction and Evaluation, General Mapping (H2)
Section: Site Model Registration, Georeference, Geo-Registeration (H2)

Skeletal Action Recognition Section: Human Action Recognition, Skeletal Representations (H4)
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)

Skeletal Section: Medical Applications -- Skeleton, Bone (H2)
Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
Section: Medical Applications, Femur Analysis, Bone (H3)
Section: Medical Applications, Knee Joints (H3)
Section: Medical Applications, Vertebra, Spine, Skeletons, Bone (H3)
Section: Medical Applications, Wrist Joints (H3)

Skeletonization Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: Skeletons and Axial Descriptions - Medial Axis Transform (MAT) etc. (H1)

Skeletons Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Distance Transforms, Functions and Skeletons (H2)
Section: Fast, Parallel, Multiresolution Techniques for the Computation of Skeletons (H2)
Section: General Three-Dimensional Symmetries, 3-D Symmetry (H3)
Section: Medial Axis Transform, MAT, Skeletons in Three Dimensions (H2)
Section: OCR, Document Analysis and Character Recognition Systems (H)
Section: Processing of Skeletons for Descriptions (H2)
Section: Use of Skeletons for Recognition and Representation (H2)
* Direct Extraction of Topographic Features for Gray Scale Character Recognition
10 for Skeletons

Sketch-Based Retrieval Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
Section: Query by Sketch, 2D Drawings, Query Technique (H3)

Sketch Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
Section: Engineering Drawings, Hand Drawings Analysis (H2)
Section: Face Analysis -- High Level Facial Features, Sketches (H3)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
Section: OCR, Document Analysis and Character Recognition Systems (H)
Section: Query by Sketch, 2D Drawings, Query Technique (H3)
Section: Shape from Line Drawings, Junction Labeling (H1)
8 for Sketch

Skew Correction Section: Detection and Correction of Document Skew, and other Distortions (H2)
Section: Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
Section: OCR, Document Analysis and Character Recognition Systems (H)
* Estimation of Skew Angle in Text-Image Analysis by SLIDE: Subspace-Based Line Detection
* Preprocessing Techniques for Cursive Script Word Recognition
* Reading Chess

Skew Detection Section: Detection and Correction of Document Skew, and other Distortions (H2)
Section: OCR, Document Analysis and Character Recognition Systems (H)
* Robust and Fast Skew Detection Algorithm for Generic Documents, A

Skew Estimation Section: Detection and Correction of Document Skew, and other Distortions (H2)
Section: OCR, Document Analysis and Character Recognition Systems (H)

Skew Symmetry Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
* Mapping Image Properties into Shape Constraints: Skewed Symmetry, Affine-Transformable Patterns, and the Shape-from-Texture Paradigm
* Recovery of the Three-Dimensional Shape of and Object from a Single View

Skin Cancer Section: Medical Applications -- Skin Cancer, Melanoma (H2)
Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)

Skin Detection Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Finding Faces by Color Features (H3)
Section: Skin Color Models, Skin Detection (H3)

Skin Lesions Section: Medical Applications -- Skin Lesions, Wound Healing (H3)
Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)

SLAM Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
Section: Visual SLAM: Simultaneous Location and Mapping or Matching (H3)

Slant Normalization Section: OCR, Document Analysis and Character Recognition Systems (H)
* Recognition of Handprinted Thai Characters Using Loop Structures

Sleep Apnea Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
Section: Sleep Apnea Analysis (H2)

Slices Section: Shape Descriptions Computed from a Set of Slices (H1)
Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)

Small Objects Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: Small Objects, Detect Small Objects (H3)

Small Sample Size Section: Data Augmentation, Generative Network, Convolutional Network (H2)
Section: Few Shot Learning (H2)
Section: One Shot Learning (H3)
Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
Section: Small Sample Sizes Issues, Data analysis, Training Sets (H3)
Section: Zero-Shot Learning (H3)

Small Targets Section: ATR -- Small Targets IR, Infra-Red, Thermal, Applications (H3)
Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)

Smallholder Section: Remote Sensing General Issue, Land Use, Land Cover (H)
Section: Smallholder Analysis (H4)

SMAP Section: Remote Sensing General Issue, Land Use, Land Cover (H)
Section: Soil Moisture, SMAP, Soil Moisture Active Passive, Remote Sensing (H2)

Smart City Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Section: Smart City Tools, Models (H2)

Smart Highways Section: Electric Vehicle Issues, Usage, Charging, Controls (H4)
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
Section: Pricing Issues in Charging (H4)
Section: Ramp Controls, Highway Traffic Control (H4)
Section: Security, Privacy in Vehicle Networks, VANET (H4)
Section: Traffic Control, Traffic Analysis, Not Image Analysis (H4)
Section: Traffic Flow Analysis Using Phone Signals, Cell Data, Wi-Fi data (H4)
Section: Traffic Flow Models and Analysis, Not Image Based (H3)
Section: Traffic Signal Control, Traffic Analysis, Not Image Analysis (H4)
Section: Using Vehicle Networks, Vehicle-to-Vehicle Communication, VANET (H4)
Section: Vehicle Networks, Implementations, VANET (H4)
11 for Smart Highways

Smart Home Section: Human Safety, Drowning, Underwater, Home Care, Smart Home (H4)
Section: Human Safety, Falling, Fall Detection, Home Care, Smart Home (H4)
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)

Smart Phone Section: Face Recognition Systems for Phones, Mobile Devices (H3)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)

Smart Room Section: Human Action Recognition, Indoor Environments, Office, Classroom, Smart Room (H4)
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)

Smell Section: New Unsorted Entries, and Other Miscellaneous Papers (H)
Section: Smell, Olfactory, Odor Analysis, Taste (H2)

Smoke Detection Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
Section: Smoke from Forest Fires, Smoke from Wildfires (H4)
Section: Surveillance Systems for Smoke Detection, Aerial Image Smoke Detection (H3)

Smoke Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Section: Smoke from Forest Fires, Smoke from Wildfires (H4)

Smoothing Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: Diffusion Process for Enhancement, Restoration and Smoothing (H2)
Section: Implementation of Convolution and Smoothing Techniques (H3)
Section: Multi-level, Multi-Scale Segmentation and Smoothing Methods (H2)
Section: Smoothing Techniques, Adaptive Smoothing (H2)
* Image Smoothing by Local Use of Global Information
* Region Extraction by Averaging and Thresholding
9 for Smoothing

Smoothing, Adaptive Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: Smoothing Techniques, Adaptive Smoothing (H2)

Smoothing, Contours Section: Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
* Optimal Local Weighted Averaging Methods in Contour Smoothing

Smoothness Section: Optical Flow Field -- Smoothness (H1)
Section: Optical Flow Field Computations and Use (H)

Snakes Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Active Contours and Snakes, Region Segmentation Issues (H3)
Section: Active Contours and Snakes, Segmentations, Flow, Gradient Flow (H4)
Section: Active Contours and Snakes, Shape Priors for Segmentation (H4)
Section: Active Contours and Snakes, Video, Motion Segmentation Issues (H4)
Section: Active Contours, Snakes or Deformable Curves (H2)
Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Geodesic Active Contours (H3)
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
Section: Interactive Region Segmentations, Snakes, User-Assisted Segmentation (H4)
Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
Section: Snakes, Algorithms for Computation (H3)
Section: Snakes, Applications (H3)
Section: Snakes, Contours, Motion Tracking (H2)
Section: Snakes, General Techniques and Descriptions (H3)
Section: Snakes, Global Fits, Fitting Specific Models (H3)
Section: Snakes, Restricted Curves, Splines, etc. (H2)
Section: Variational Models, Snake Models, Active Contours (H4)
* Affine-Invariant Contour Tracking with Automatic Control of Spatiotemporal Scale
* Automatic Road Extraction Based on Multi-Scale Modeling, Context, and Snakes
* Building and Using Flexible Models Incorporating Grey-Level Information
* Deformable Templates for Face Recognition
* Method for Detecting Correspondences in a Sequence of Modifying Shapes, A
* Real-Time Lip Tracking for Audio-Visual Speech Recognition Applications
* Semiautomatic Linear Feature-Extraction by Dynamic-Programming and LSB-Snakes
* Three Dimensional Movement Analysis of Dynamic Line Images
* Visual Image Retrieval by Elastic Matching of User Sketches
31 for Snakes

Snakes, 3-D Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Active Volumes, Deformable Solids, 3-D Snakes, etc. (H1)

Snakes, Active Contours Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Simulating the Grassfire Transform Using an Active Contour Model

Snow Cover Section: Remote Sensing General Issue, Land Use, Land Cover (H)
Section: Snow Cover, Snow Depth, Snow Analysis (H2)

Snow Detection Section: Forest Area Snow Cover, Forest Canopy Impacts on Snow Measurements (H3)
Section: Remote Sensing General Issue, Land Use, Land Cover (H)
Section: Snow Cover, Snow Depth MODIS Sensors (H3)
Section: Snow Cover, Snow Depth, Snow Analysis (H2)
Section: Temporal Snow Cover, Seasonal, Annual, Changes, Comparisons (H3)

Snow Removal Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: Snow Removal (H3)

SO2 Section: Remote Sensing General Issue, Land Use, Land Cover (H)
Section: Sulfur Di-Oxide, Sulphur, SO2 (H3)

Soccer Section: Football, Soccer, Tracking, Desctiptions, Analysis (H4)
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)

Social Interactions Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
Section: Social Interactions, Human Activities, Social Grouping (H4)

Social Media Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
Section: Social Media Search, Large Scale Systems, Web-Scale System (H4)

Social Networks Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
Section: Social Networks, Creation, Visualization, Use (H2)

Society, Asia * *Asian Federation of Computer Vision

Society, Australia * *Australian Pattern Recognition Society

Society, Austria * *Austrian Association for Pattern Recognition

Society, Belgium * *AVS: Scientific Research Community Audio-Visual Systems

Society, Canada * *Canadian Image Processing and Pattern Recognition Society
* *Canadian Institute of Geomatics

Society, Europe * *Dutch Society for Pattern Recognition and Image Analysis: NVPHBV
* *EURASIP: European Association for Signal Processing
* *European Computer Vision Network

Society, Finland * *Pattern Recognition Society of Finland

Society, France * *French Association for Pattern Recognition and Interpretation

Society, Germany * *DAGM: The German Association for Pattern Recognition
* *Deutsche Gesellschaft für Photogrammetrie und Fernerkundung e.V.
* *German Society for Photogrammetry, Remote Sensing and Geoinformation

Society, Image Analysis * *GigE Vision Standard
* *JPEG: Joint Photographic Experts Group
* *MPEG Industry Forum
* *MPEG: Moving Picture Experts Group
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)

Society, India * *Indian Society for Remote Sensing
* *Indian Unit for Pattern Recognition and Artificial Intelligence

Society, International * *ASTM E57 committee on 3D imaging systems
* *Biometrics Alliance
* *Cartography and Geographic Information Society
* *IAPR: International Association for Pattern Recognition
* *International Cartographic Association
* *International Center for Remote Sensing of Environment
* *International Federation of Information Processing
* *International Federation of Robotics
* *International Federation of Robotics
* *International Graphonomics Society
* *International Imaging Industry Association I3A
* *ISIF: International Society of Information Fusion
* *ISPRS: International Society for Photogrammetry and Remote Sensing
* *SPIE: The International Society for Optical Engineering
14 for Society, International

Society, Ireland * *Irish Pattern Recognition and Classification Society

Society, Italy * *CVPL: Associazione Italiana in Computer Vision, Pattern Recognition and Machi ne Learning
* *Italian Association for Pattern Recognition

Society, Japan * *IEICE
* *Information Processing Society of Japan: Computer Vision and Image Media
* *Machine Vision and Application Organization

Society, JPEG * *JPEG: Joint Photographic Experts Group
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)

Society, MPEG * *MPEG: Moving Picture Experts Group
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)

Society, New Zealand * *National group of New Zealand in Image and Vision Computing

Society, Norway * *Norwegian Society for Image Processing and Pattern Recognition

Society, Poland * *Association for Image Processing, Poland (TPO)

Society, Spain * *Spanish Association of Pattern Recognition and Image Analysis

Society, Sweden * *Swedish Society for Automated Image Analysis

Society, The Netherlands * *Nederlandse Vereniging voor Patroonherkenning en Beeldverwerking

Society, UK * *BMVA: British Machine Vision Association
* *UKIVA: The UK Industrial Vision Association

Society, US * *ASPRS: American Society for Photogrammetry and Remote Sensing
* *Audio and Video Coding Standard Workgroup of China
* *Computer Vision Foundation
* *Embedded Vision Alliance
* *IEEE Circuits and Systems Society
* *IEEE Computer Society: TC PAMI
* *IEEE Intelligent Transportation Systems Society
* *IEEE Robotics and Automation Society
* *IEEE Signal Processing Society
* *Optical Society of America
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
11 for Society, US

Soil Carbon Section: Remote Sensing General Issue, Land Use, Land Cover (H)
Section: Soil Organic Carbon (H2)

Soil Moisture Section: Remote Sensing General Issue, Land Use, Land Cover (H)
Section: Soil Moisture, Evaluations and Comparisions of Different Methods (H3)
Section: Soil Moisture, Microwave Techniques, L-Band Radiometry (H3)
Section: Soil Moisture, Radar, SAR, X-Band (H3)
Section: Soil Moisture, Sentinel 1, 2, 3, Data (H3)
Section: Soil Moisture, SMAP, Soil Moisture Active Passive, Remote Sensing (H2)

Soil Orgamic Section: Remote Sensing General Issue, Land Use, Land Cover (H)
Section: Soil Organic Carbon (H2)

Soil Properties Section: Other Soil Properties, Remote Sensing (H2)
Section: Remote Sensing General Issue, Land Use, Land Cover (H)
Section: Soil Heavy Metal Contamination (H2)
Section: Soil Organic Carbon (H2)

Soil Salinity Section: Remote Sensing General Issue, Land Use, Land Cover (H)
Section: Soil Salinity Measurements (H2)

Solar Analysis Section: Astronomy Applications, Solar Analysis (H2)
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)

Solar Energy Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Section: Solar Energy Analysis, Photovoltaic Analysis, Buildings, Roofs (H3)

Solar Radiation Section: Remote Sensing General Issue, Land Use, Land Cover (H)
Section: Solar Radiation, Solar Irradiance, Measurements (H4)

Sonar Range Sensors Section: Acoustic, Sonar Sensors for Range, Underwater Acoustic Sensing (H3)
Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* Three-Dimensional Ultrasonic Vision for Robotic Applications

Sonar Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
Section: ATR -- Sonar (H2)
Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Section: Obstacles, Objects on the Road Using Radar, Sonar, LiDAR, Active Vision (H4)
* Hybrid Genetic Optimization and Statistical Model-Based Approach for the Classification of Shadow Shapes in Sonar Imagery
* Mobile Robot Localization Using Sonar
8 for Sonar

Sounds Section: Acoustic Signals, Sounds, Audio (H2)
Section: Active Noise Cancellation (H3)
Section: Coding, Compression, Acoustic Signals, Sounds, Audio (H3)
Section: New Unsorted Entries, and Other Miscellaneous Papers (H)

Source Camera Section: OCR, Document Analysis and Character Recognition Systems (H)
Section: Source Camera Identification, Camera Fingerprint (H3)

Source Localization Section: Audio Source Separation, Source Localization, Direction of Arrival, DoA, Analysis (H3)
Section: New Unsorted Entries, and Other Miscellaneous Papers (H)
Section: Source Localization, Direction of Arrival, DoA, Analysis (H2)

Source Separation Section: Audio Source Separation, Source Localization, Direction of Arrival, DoA, Analysis (H3)
Section: New Unsorted Entries, and Other Miscellaneous Papers (H)
Section: Source Separation, Source Localization, Direction of Arrival, DoA, Analysis (H3)

Soybeans Section: Remote Sensing General Issue, Land Use, Land Cover (H)
Section: Soybean Crop Analysis, Beans, Production, Detection, Health, Change (H3)

Space Application Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* Affine Visual Servoing for Robot Relative Positioning and Landmark-Based Docking

Space Carving Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Multiple Views, Space Carving (H2)

Space Debris Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
Section: Multi-Object Tracking, Space Debries (H4)

Space Variant Sensor Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: Other Space Variant Sensors and Models (H2)

Space Variant Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Section: Space Varying Restoration, Adaptive Restoration (H2)

Spaceborne SAR Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: Spaceborne Interferometric SAR, Satellite Based (H3)

Spacecraft Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
Section: Aircraft Landings, Spacecraft Landing (H4)

Spanning Tree Section: Decision Trees (H2)
Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)

Sparse Coding Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
Section: Other Sparse Coding, Low Dimensional Representation, Invariants (H3)
Section: Sparse Descriptions, Dictionary Descriptions (H4)

Sparse Data Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Generation from Sparse Data (H2)
Section: Reconstruction from Sparse Data (H2)

Sparse Representation Section: Human Action Recognition, Sparse Techniques, Low-Rank, SVM (H4)
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)

Spatial-Spectral Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
Section: Spectral-Spatial Classification, Spatial-Spectral, Hyperspectral Data (H4)

Spatial Descriptions Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
Section: Spatial Information and Features, Visual Relationships (H3)
Section: Structural Description, Spatial Descriptions in Deep Networks (H4)

Spatial Indexing Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Speeding Up Construction of Quadtrees for Spatial Indexing

Spatial Reasoning Section: General Spatial Reasoning and Geometric Reasoning Issues, Visual Relations (H1)
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* Qualitative Spatial Reasoning from the Observers Point-of-View: Towards a Generalization of Symbolic Projection

Spatial Relations Section: General Spatial Reasoning and Geometric Reasoning Issues, Visual Relations (H1)
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
Section: Spatial Information and Features, Visual Relationships (H3)

Spatio-Temporal Analysis Section: General Spatio-Temporal Analysis (H2)
Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
Section: Spatio-Temporal Analysis -- Many Frames (H1)
* Acquisition of 3D Structure of Selectable Quality from Image Streams
* On Integrating Depth from Motion and Stereo Approaches

Spatio-Temporal Filtering Section: Optical Flow Field Computations and Use (H)
* Detection of Independent Motion Using Directional Motion Estimation

Spatio-Temporal Filters Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
Section: Spatio-Temporal Filtering (H2)
* On the Use of Trajectory Information to Assist Stereopsis in a Dynamic Environment

Spatio-Temporal Segmentation Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
Section: Spatio-Temporal Motion Segmentation, Flow Based Segmentation (H3)

Spatio-Temporal Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
Section: Spatio-Temporal Techniques for Human Action Recognition and Detection (H4)
Section: Sptatio-Temporal Analysis for Face Expression Recognition (H4)

Speaker Tracking Section: Combined Audio Visual Speaker Tracking (H4)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)

Speaker Verification Section: New Unsorted Entries, and Other Miscellaneous Papers (H)
Section: Speaker Verification, Speaker Identification (H3)

Special Issues Section: Books, Collections, Overviews, General, and Surveys (H)
Section: Conference Listings or Special Issues, Introductions through 2004 (H1)
Section: Conference Listings or Special Issues, Introductions, 2005-2009 (H2)
Section: Conference Listings or Special Issues, Introductions, 2010-2012 (H2)
Section: Conference Listings or Special Issues, Introductions, 2013-2015 (H2)

Specific Objects Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: Instance of Particular Object, Specified Object (H3)

Speckle Reduction Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: Radar, Speckle Analysis and Removal, Speckle Reduction, Despeckle (H2)

Speckle Removal Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
Section: Ultrasound, Ultrasonic, Speckle Removal, Restoration, Analysis (H2)

Speckle Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: Radar, Speckle Analysis and Removal, Speckle Reduction, Despeckle (H2)

SPECT Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
Section: Single Photon emission computed tomography -- SPECT (H2)

Spectral-Spatial Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
Section: Spectral-Spatial Classification, Spatial-Spectral, Hyperspectral Data (H4)

Spectral Calibration Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
Section: Photometric Calibration, Radiometric Calibration, Spectral Calibration, Color Calibration (H2)

Spectral Clustering Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
Section: Spectral Clustering, Data Dimensionality Reduction (H3)

Spectral Reflectance Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
Section: Reflectance Computations, Albedo (H2)
Section: Surface Roughness, Rough Surfaces (H3)

Spectral Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Spectral and Rank Order Approaches to Texture Analysis

Specular Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
Section: Shape from Specularities -- Multiple Images (H2)
Section: Shape from Specularities, Specularity Analysis, Highlights (H1)

Specularity Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
Section: Shape from Specularities -- Multiple Images (H2)
Section: Shape from Specularities, Specularity Analysis, Highlights (H1)

Speech Emotion Section: Emotion Recognition, from Other Than Faces (H4)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Multi-Modal Emotion, Multimodal Emotion Recognition (H4)

Speech Synthesis Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: New Unsorted Entries, and Other Miscellaneous Papers (H)
Section: Speech Synthesis, Synthetic Speech (H3)
Section: Talking Heads, Speech Driven Face Animation (H3)

Speech Section: Combined Audio Visual Recognition and Analysis (H3)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Grammar Based Analysis, Language Issues, Natural Language (H3)
Section: New Unsorted Entries, and Other Miscellaneous Papers (H)
Section: Speaker Verification, Speaker Identification (H3)
Section: Speech Analysis, other than Recognition (H3)
Section: Speech Recognition, Neural Networks (H3)
Section: Speech Recognition, Speech Analysis, Signal Processing (H2)
Section: Speech Synthesis, Synthetic Speech (H3)
9 for Speech

Speed Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
Section: Vehicle Tracking, Speed Computations, Vehicle Speed, Traffic Speed (H4)

Spheres Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Representations from Spheres, By Spheres (H1)

SPIHT Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Section: Set Partitioning in Hierarchical Trees (SPIHT) Coding (H3)

Spiking Neural Networks Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
Section: Spiking Neural Networks (H3)

Spine Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
Section: Medical Applications, Vertebra, Spine, Skeletons, Bone (H3)

Spiral Tomography Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
Section: Tomographic Image Generation, Cone-Beam, Fan-Beam, Helical, Spiral Reconstruction (H2)

Spline Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Spline Based Models, B-Splines (H2)

Splines Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
Section: Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
Section: Snakes, Restricted Curves, Splines, etc. (H2)
Section: Splines, General Methods, General Papers (H2)
* Implicitization, Inversion, and Intersection of Planar Rational Cubic Curves

Split and Merge Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
Section: Segmentation by Split and Merge Techniques, Hierarchical (H1)

Split Bregman Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
Section: Split Bregman Motion Blur, Image Restoration (H4)

Spoofing Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: GPS, GNSS Deal with Spoofing, Jamming, Interference (H4)
Section: Iris Recognition Systems, Spoofing, Liveness, Presentation Attack, Contact Lenses (H3)
Section: Liveness Detection, Spoofing, Fingerprint Recognition (H3)
Section: Liveness Detection, Spoofing, Presentation Attack, Faces, Other Biometrics (H3)

Sports Section: Human Activities, Sports, Planned Activities (H4)
Section: Human Activities, Sports, Player Tracking (H4)
Section: Human Activities, Sports, Summaries, Highlights (H4)
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
Section: Sports, Line Judge, Ball Position, Ball Tracking and Enhanced Displays (H4)

Spot Detection Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: Spot Detection, Bright Spots (H3)

Spotlight Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: Spotlight Radar, Spotlight SAR (H2)

Spots Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: Spot Detection, Bright Spots (H3)

Spread Spectrum Watermark Section: OCR, Document Analysis and Character Recognition Systems (H)
Section: Spread Spectrum Watermarks (H2)

Spring Onset Section: Growing Season Dates, Spring, Green-Up (H3)
Section: Remote Sensing General Issue, Land Use, Land Cover (H)

Sprites Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Face Animation, Video Face Synthesis (H3)

Squeeze and Excite Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
Section: Squeeze-and-Excite Networks (H4)

Squinted Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: Highly Squinted Radar, Highly Squinted SAR (H3)

SRI Cartography Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Section: SRI General Cartography Systems (H1)

Stabilization Section: Image Shake, Video Shake, Phone (H3)
Section: Image Stabilization, Video Stabilization, Alignment (H2)
Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
Section: Rolling Shutter Rectification, Alignment, Stabilization (H3)
* Electronic Digital Stabilization: Design and Evaluation, with Applications

Static Image Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Gesture Recognition Systems with Static Imaage, Single Image (H4)

Statistical Learning Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
Section: Statistical Learning, Clustering, Learning Feature Values (H2)

Steerable Filter Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Section: Steerable Filters (H3)
* Design of Multi-Dimensional Derivative Filters
* Optimally Rotation-Equivariant Directional Derivative Kernels
* Steerable Pyramid: A Flexible Architecture for Multi-Scale Derivative Computation, The

Steerable Filters Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
* Deformable Kernels for Early Vision

Steganalysis Section: Data Hiding, Steganography, Adversarial Networks, Convolutional Networks, Deep Learning (H3)
Section: Data Hiding, Steganography, LSB, Least Significant Bit (H3)
Section: Data Hiding, Steganography, Random Grids, Random Dots (H3)
Section: Image Hiding, Data Hiding, Steganography, Steganalysis (H2)
Section: OCR, Document Analysis and Character Recognition Systems (H)
Section: Reversible Data Hiding, Steganography (H3)

Steganography Section: Data Hiding, Steganography, Adversarial Networks, Convolutional Networks, Deep Learning (H3)
Section: Data Hiding, Steganography, LSB, Least Significant Bit (H3)
Section: Data Hiding, Steganography, Pixel Difference (H3)
Section: Data Hiding, Steganography, Random Grids, Random Dots (H3)
Section: Halftone Images, Compressed Images: Image Hiding, Data Hiding, Steganography (H3)
Section: Image Hiding, Data Hiding, Steganography, Steganalysis (H2)
Section: OCR, Document Analysis and Character Recognition Systems (H)
Section: Reversible Data Hiding, Steganography (H3)
Section: Video Data Hiding, Data Hiding in Video, Video Steganography (H3)
9 for Steganography

Stem Cells Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
Section: Stem Cell Analysis (H3)

Stem Diameter Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Section: Tree Diameter, Tree Width, Stem Diameter, Diameter at Breast Height, DBH (H4)

Stem Volume Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Section: Trees, Forest, Stem Volume, Aboveground Biomass Measurements (H3)

Stereo and Motion Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
Section: Motion Using Stereo Pairs or Depth, Multiple Cameras -- Features (H1)
Section: Motion Using Stereo Pairs or Depth (H1)

Stereo Displays Section: Autostereoscopic, Glasses-Free Three Dimensional Displays (H2)
Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
Section: Stereoscopic Viewing, Three Dimensional Visualization, Displays (H1)
Section: Three Dimensional Displays, Viewer Fatigue, Sickness, Comfort, Aesthetics (H2)
Section: Three Dimensional Visualization for Medical Data (H2)

Stereo Image Based Rendering Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Image Based Rendering, Stereo Views (H3)
Section: Text to Image, Layout to Image, Image Based Rendering (H3)

Stereo Image Super Resolution Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
Section: Stereo Image Super Resolution (H3)

Stereo Sensor Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: Depth, Range Sensors for Machine Vision (H2)
Section: Stereo Sensors for Range (H2)
Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)

Stereo Super Resolution Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
Section: Stereo Image Super Resolution (H3)

Stereo Tracking Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
Section: Multi-Target Tracking with Multiple Sensors, Stereo, Depth, Range (H3)

Stereo Video Coding Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Section: Multiview Video Coding, Stereo Video Coding, 3D Video Coding (H2)

Stereo Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
Section: Autostereoscopic, Glasses-Free Three Dimensional Displays (H2)
Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Gesture Systems, Using Depth Images, Range Data, Stereo Analysis for Gestures (H4)
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Section: Image Quality Evaluation, Stereoscopic Imagery, Stereo, Depth (H3)
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
Section: Stereo and Depth Using Thermal and Visible, 3D Features, Objects (H4)
Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
Section: Stereoscopic Viewing, Three Dimensional Visualization, Displays (H1)
Section: Surveys, Overviews, General Discussion, Evaluations, Three Dimensional Displays (H2)
Section: Three Dimensional Visualization for Medical Data (H2)
Section: Tracking People with Stereo, or Depth (H4)
* Computational and Biological Models of Stereo Vision
* Depth Perception for Robots
* Detection and Description of Buildings from Multiple Aerial Images
* Distortion of Steroscopic Visual Space
* Integrated Stereo-Based Approach to Automatic Vehicle Guidance, An
* Integrating Vision Modules: Stereo, Shading, Grouping, and Line Labeling
* Structure from Stereo: A Review
23 for Stereo

Stereo, Analysis Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
* Stereo Vision for Planetary Rovers: Stochastic Modeling to Near Real-Time Implementation

Stereo, Boundaries Section: Stereo Analysis - Boundaries of Curved Surfaces (H2)
Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)

Stereo, Camera Calibration Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
Section: Camera Calibration, Stereo (H2)

Stereo, Coding Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Section: Multi Dimensional Coding, Stereo Coding, Disparity Maps, 3-D Shapes (H2)

Stereo, Combined Area and Local Section: Stereo Analysis: Regions, Combine Area and Edge (H2)
Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)

Stereo, Computation Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
* Accurate Building Structure Recovery from High Resolution Aerial Imagery

Stereo, Edges Section: Edge Based Stereo Analysis: Scan Line Oriented (H2)
Section: Stereo Analysis: Regions, Combine Area and Edge (H2)
Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)

Stereo, Epipolar Section: Edge Based Stereo Analysis: Scan Line Oriented (H2)
Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
* Computer Determination of Depth Maps

Stereo, Evaluation Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Error Analysis, Evaluation, Performance Analysis of Computation Methods (H1)
Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
* Models of Errors and Mistakes in Machine Perception, Part 1. First Results for Computer Vision Range Measurements
* Quantization Error in Stereo Imaging
* Quantization Errors in Stereo Triangulation
* Recovering 3D Information from Complex Aerial Imagery
* Robust Parameter Estimation in Computer Vision
* Some Accuracy and Resolution Aspects of Computer Vision Distance Measurements
* Stereo Error Detection, Correction, and Evaluation
10 for Stereo, Evaluation

Stereo, Fusion Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
Section: Gaze Control, Binocular System, Vergence (H3)

Stereo, Gradient Approach Section: Stereo Analysis - Gradient Based (H2)
Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)

Stereo, Grimson Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
* Computational Experiments with a Feature Based Stereo Algorithm

Stereo, Line Segments Section: Line Segment Based Stereo Analysis, Line Matching (H2)
Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)

Stereo, Many views Section: Large Scale Multi-View Stereo, Internet Scale, Many Views (H2)
Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)

Stereo, Marr Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
* Cooperative Computation of Stereo Disparity
* Theory of Human Stereo Vision, A

Stereo, Matching Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
Section: Matching for Stereo, Correlation (H3)
Section: Matching for Stereo, Dynamic Programming Techniques (H3)
Section: Matching for Stereo, Neural Network Applications, CNN (H3)
Section: Matching for Stereo, Occlusion, Discontinuity Analysis (H3)
Section: Matching for Stereo, Varying Illumination, Radiometric Changes (H3)
Section: Matching for Stereo, Wide Baseline Matching Issues (H3)
Section: Matching Issues for Stereo (H2)
Section: Multi-Scale Matching for Stereo (H3)
Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
* Iterative Relaxational Stereo Matching Based on Adaptive Support Between Disparities
* Optimization of Stereo-Matching Algorithms Using Existing DEM Data
13 for Stereo, Matching

Stereo, Motion Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
Section: Optical Flow Field Computations and Use (H)
* Computation of Cloud-base Height from Paired Whole-Sky Imaging Cameras, The
* Integrated Stereo-Based Approach to Automatic Vehicle Guidance, An

Stereo, Multiple Resolution Section: Stereo Systems: Multiple Resolutions, Hierarchical (H2)
Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)

Stereo, Multiple Views Section: Multiple Cameras or Views (H1)
Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)

Stereo, Omnidirectional Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
Section: Shape and Stereo from Panoramic Views, Stereo from Omnidirectional Images, Plenoptic (H1)

Stereo, Other Section: Other Stereo Work (H2)
Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)

Stereo, Panoramic Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
Section: Shape and Stereo from Panoramic Views, Stereo from Omnidirectional Images, Plenoptic (H1)

Stereo, Photogrammetry Section: Remote Sensing General Issue, Land Use, Land Cover (H)
* Close Range Photogrammetry: Principles, Techniques and Applications
* GeoSpatial Visual Analytics

Stereo, Point Matching Section: Stereo Analysis: Point Matching, Low Level Feature Matching (H2)
Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)

Stereo, Real time * *PrimeSense
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Stereo: Real Time Systems, Hardware Implementations (H1)
Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)

Stereo, Reconstruction Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Reconstructions, Applied to Stereo Imagery, Stereo Data (H2)

Stereo, Regions Section: Stereo Analysis: Regions, Combine Area and Edge (H2)
Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
* Refinement of Disparity Estimates Through the Fusion of Monocular Image Segmentations

Stereo, Scan Line Section: Edge Based Stereo Analysis: Scan Line Oriented (H2)
Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)

Stereo, Surface Models Section: Stereo and Surface Models (H2)
Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)

Stereo, System Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
* Stereo Vision for Planetary Rovers: Stochastic Modeling to Near Real-Time Implementation
* Stereoscopic Navigation System, A

Stereo, Theory Section: General Stereo Discussion: Human and Computer (H2)
Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
* Theory of Human Stereo Vision, A

Stereo, Trinocular Section: Stereo Using Three Views, Trinocular Stereo (H1)
Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
* Artificial Vision for Mobile Robots: Stereo Vision and Multisensory Perception
* Trinocular Stereo Vision for Robotics
* Trinocular Stereo: A Real-Time Algorithm and its Evaluation

Stereo, Two views Section: Stereo Analysis, Two Views (H1)
Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)

Stereo, Uncalibrated Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
Section: Weakly Calibrated Cameras (H1)

Stereo, Weakly Calibrated Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
Section: Weakly Calibrated Cameras (H1)

Stereoscopic Video Coding Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Section: Multiview Video Coding, Stereo Video Coding, 3D Video Coding (H2)

Stereoscopic Viewing Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
Section: Stereoscopic Viewing, Three Dimensional Visualization, Displays (H1)

Stero Section: Computer Vision Workshops -- Stereo, 3-D (H3)

Still Image Section: Human Action Recognition in Still Images, Single Images (H4)
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)

Stitching Section: Document Mosaic Generation (H3)
Section: Mosaic Generation for Video, Stitching (H3)
Section: Mosaic Generation, Image Stitching, Photomosaic (H2)
Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
Section: Retinal Mosaic Generation (H3)

Storm Damage Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Section: Forest Storm Damage Assessment, Wind Throw (H4)

Straight Lines Section: Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
Section: Extended Linear Features - Beyond Segments (H2)

Stream Flow Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Section: River Discharge Measurement, River Flow, Streamflow (H4)

Streaming Video Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Section: Peer-to-Peer Video Transmission, Streaming, P2P (H4)
Section: Streaming Video, Transmission, Quality of Service, Transmission Rate Issues (H4)
Section: Streaming Video, Video Streaming, Transmission Issues (H3)
Section: Transmission Issues, ATM Networks (H3)
Section: Wireless Tranmission, Multicast, Streaming (H4)

Street Lights Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
Section: Traffic Lights, Objects along the Road, Inspections (H3)

Street Trees Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Section: Urban Trees, Individual Trees, Street Trees (H3)

Stress Section: Face Expression Recognition for Stress (H4)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)

String Matching Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
Section: String Matching, Syntatic Matching (H3)
Section: String Matching, Text Matching (H2)

Stroke Based Section: Chinese Characters, Using Stroke and Radical Analysis, Features (H3)
Section: OCR, Document Analysis and Character Recognition Systems (H)

Stroke Detection Section: Brain, Stroke, Ischemic Stroke (H2)
Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)

Strokes Section: OCR, Document Analysis and Character Recognition Systems (H)
Section: Text in Scenes, Stroke Based, Contour Based (H4)

Structural Decomposition Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* Periodic Lines: Definition, Cascades, and Application to Granulometries

Structural Descriptions Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
Section: Structural Description, Spatial Descriptions in Deep Networks (H4)
* Organizing Large Structural Modelbases

Structural Features Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Defect Detection in Random Color Textures

Structural Texture Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
Section: Structural Methods for Texture Description (H1)
* Distorted Shape Recognition Using Attributed Grammars and Error-Correcting Techniques
* Finding Anomalies in an Arbitrary Image

Structure from Motion Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Optical Flow Field Computations and Use (H)
Section: Surface Reconstruction from Optical Flow (H1)
* Relative Affine Structure: Canonical Model for 3D from 2D Geometry and Applications
* What Is Computed by Structure from Motion Algorithms?

Structure Matching Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
Section: Random Field Models for Structure Matching (H3)
Section: Subgraph Isomorphism, Common Subgraphs, Subgraph Matching (H2)

Structured Light Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
Section: Other Patterns (H2)
Section: Shape from Laser Ranging and Structured Light Images (H1)

Structured Light, Grid Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
Section: Grid Patterns (H2)

Structured Light, Stripes Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
Section: Light Stripes (H2)
Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
* Utilization of a Stripe Pattern for Dynamic Scene Analysis

Structuring Elements Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* Simplified Algorithm for Approximate Separable Decomposition of Morphological Templates, A

Style Transfer Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Style Transfer (H4)

Subband Coding Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Section: Subband Coding Techniques (H3)

Subgraph Isomorphism Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
Section: Subgraph Isomorphism, Common Subgraphs, Subgraph Matching (H2)

Subjective Contours Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* Detecting Subjective Contours with the Hierarchical Hough Transform

Subjective Quality Assessment Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Section: Image Quality Evaluation, Perceptual Quality, Subjective Quality, Human Visual System Based, HVS (H3)

Subpixel Edges Section: Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
Section: Subpixel Accuracy Edge Detection Methods, Sub-Pixel Edges (H2)

Subpixel Registration Section: Image Registration with Subpixel Accuracy (H3)
Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)

Subpixel Section: Image Registration with Subpixel Accuracy (H3)
Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
Section: Remote Sensing General Issue, Land Use, Land Cover (H)
Section: Subpixel Target, Subpixel Land Use, Tiny Objects (H3)

Subsidence Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: Landslide Detection, Analysis, Damage Assessment, Deformations (H3)
Section: Surface Deformation From SAR Applied to Mine Subsidence (H4)
Section: Surface Deformation From SAR, InSAR, IFSAR, Interferometry (H3)
Section: Surface Deformation, Subsidance From SAR Applied in Urban, City Areas (H4)

Subspace Clustering Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
Section: Subspace Clustering, Subspace Learning (H3)

Subtraction Section: Dynamic Background Subtraction, Moving Camera Background Subtraction (H4)
Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
Section: Motion Sequence, Background Subtraction (H4)
Section: Motion Sequence, Color Models for Background Subtraction (H4)
Section: Neural Network Guided Background Subtraction, Learning Methods (H4)

Sugar Cane Section: Remote Sensing General Issue, Land Use, Land Cover (H)
Section: Sugar Cane Crop Analysis, Production, Detection, Health, Change (H3)

Sulphur Section: Remote Sensing General Issue, Land Use, Land Cover (H)
Section: Sulfur Di-Oxide, Sulphur, SO2 (H3)

Summarization Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
Section: Multimedia Summarization, Multimodal Summarization (H4)
Section: Personal Videos, Consumer Videos, Abstracts, Synopsis, Summarization (H4)
Section: Summarization, Movies, Script Based, Structured Videos, Presentations (H4)
Section: Surveillance Video Summarization, Surveillance Synopsis (H4)
Section: Video Analysis, Abstracts, Synopsis, Summarization (H3)

Super-Resolution Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: Radar Super Resolution, SAR Super Resolution (H3)

Superpixel Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
Section: Superpixel Region Extraction, Region Growing (H2)

Superquadric Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
Section: SuperQuadric Representations (H1)
* Determining Pose of 3D Objects with Curved Surfaces

Superslice Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* Final Report

Support Functions Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Orientation-Based Differential Geometric Representations for Computer Vision Applications

Support Vector Machine Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Learning Face Detection, Neural Nets, SVM (H3)

Support Vector Machines Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
Section: Support Vector Machines, SVM, Applied to Recognition (H3)
Section: Support Vector Machines, SVM, Feature Selection (H3)
Section: Support Vector Machines, SVM, Incremental, Multi-Step (H3)
Section: Support Vector Machines, SVM, One-Class Classification (H3)
Section: Support Vector Machines, SVM, Surveys, Reviews, General (H3)
Section: Support Vector Machines, SVM (H2)
Section: Training Support Vector Machines, SVM Training, Learning (H3)
* Machine Learning, Machine Vision, and the Brain
9 for Support Vector Machines

Surevey, Hand Pose Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Efficient Annotation and Learning for 3D Hand Pose Estimation: A Survey

SURF Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: Scale Invariant Features, SIFT, SURF, ASIFT (H3)

Surface Albedo Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
Section: Land Surface Albedo (H3)

Surface Completion Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Amodal volume completion: 3D visual completion
* Three-Dimensional Surface Relief Completion Via Nonparametric Techniques

Surface Deformation Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: Landslide Detection, Analysis, Damage Assessment, Deformations (H3)
Section: Surface Deformation From SAR Applied to Earthquakes, Fault Monitoring (H4)
Section: Surface Deformation From SAR Applied to Mine Subsidence (H4)
Section: Surface Deformation From SAR, InSAR, IFSAR, Interferometry (H3)
Section: Surface Deformation, Subsidance From SAR Applied in Urban, City Areas (H4)
7 for Surface Deformation

Surface Fitting Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* Segmentation Through Symbolic Surface Descriptions

Surface Interpolation Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Surface Interpolation, Surface Reconstction (H3)

Surface Matching Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: ICP, Iterative Closest Point Registeration for Point Clouds (H4)
Section: Image to 3-D Surface Matching, 2-D to 3-D Matching, 2-D to 3-D Registration (H4)
Section: Register 3-D LIDAR Data, Profiles (H4)
Section: Register 3-D Surfaces, Mesh Models (H4)
Section: Register Point Cloud Data, Point Cloud Matching, Laser Scanner Data (H4)
Section: Register Terrestrial Laser Scanner Point Cloud Data, TLS (H4)
Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
Section: RGB-D Registeration, RGBD Registraion, Color and LiDAR (H4)
Section: Surface Matching, Deformable Surface Matching (H2)
Section: Surface Registration, Matching, Patch Based, Planar Patches, Planes (H4)
Section: Surface Registration, Sonar, Ultrasound, Acoustic (H4)
Section: Surfaces and Range Data Matching (H2)
* Extension of the ICP Algorithm to Nonrigid Intensity-Based Registration of 3D Volumes
* ICP Registration Using Invariant Features
* multi-resolution ICP with heuristic closest point search for fast and robust 3D registration of range images, A
16 for Surface Matching

Surface Mosaics Section: 3-D Surface Registration for Mosaics and Models (H4)
Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)

Surface Normals Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Surfaces and Range Data, Normal Vector, Surface Normal (H3)

Surface Reconstruction Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: Discontinuity Analysis in Surface Reconstruction (H3)
Section: Fitting Curved Surfaces (H2)
Section: Implicit 3-D Models, Implicit Descriptions (H2)
Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
Section: Optical Flow Field Computations and Use (H)
Section: Projective Reconstructions (H2)
Section: Reconstruction from Sparse Data (H2)
Section: Reconstructions, Applied to Stereo Imagery, Stereo Data (H2)
Section: Specific 3-D Models, Cultural Items, Applied 3-D Descriptions (H2)
Section: Specific 3-D Models, Paintings, Murals, Frescoes (H2)
Section: Specific 3-D Models, Rock Art, Petroglyphs, Rock Structures, Caves (H2)
Section: Specific 3-D Models, Vaulted Structures (H3)
Section: Spline Based Models, B-Splines (H2)
Section: Stereo and Surface Models (H2)
Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
Section: Surface Interpolation, Surface Reconstction (H3)
Section: Surface or Contour Motion Using Global Surfaces (H1)
Section: Surface Reconstruction from Optical Flow (H1)
Section: Surfaces, Rubber Sheets, Plates (H2)
Section: Three-Dimensional Surface Reconstructions (H1)
* Concurrent Solution of the Stereo Correspondence Problem and the Surface Reconstruction Problem
* Conic Reconstruction and Correspondence from Two Views
* On Discontinuity-Adaptive Smoothness Priors in Computer Vision
* Optimal Surface Reconstructions from Planar Contours
* Physically-Based Adaptive Preconditioning for Early Vision
* Spatial and Temporal Surface Interpolation Using Wavelet Bases
28 for Surface Reconstruction

Surface Reconstruction, Survey Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* On Surface Reconstruction Using Sparse Depth Data
* On Three-Dimensional Surface Reconstruction Methods

Surface Temperature Section: Land Surface Temperature using LandSat (H3)
Section: Land Surface Temperature using MODIS (H3)
Section: Land Surface Temperature, Remote Sensing (H2)
Section: Remote Sensing General Issue, Land Use, Land Cover (H)
Section: Urban Land Surface Temperature (H3)

Surfel Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Surfels: Surface Elements as Rendering Primitives

Surfvey, Data Structures Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Data Structures for Picture Processing: A Survey

Surgery Section: Medical Applications -- Surgery (H1)
Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
Section: Surgical Instruments, Detection, Tracking (H2)

Surgery, Cataracts Section: Cataracts, Detection, Analysis, Surgery (H2)
Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)

Surgical Instruments Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
Section: Surgical Instruments, Detection, Tracking (H2)

Survay, License Plates Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Systematic review on vehicular licence plate recognition framework in intelligent transport systems

Survay, Pattern Classification Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* Pattern Classification Using Ensemble Methods

Surveillance Section: Aerial Image Mosaic Generation, UAV Mosaics, Drone Mosaics (H3)
Section: Applied Traffic Surveillance, Traffic Events, Red Lights, Parking (H4)
Section: Camera Networks for Surveillance (H4)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Gesture and Pose Analysis (H1)
Section: Hardware, Sensor and Camera Arrangements for Surveillance Systems (H3)
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
Section: Surveillance of Vehicles and Occupants, Driver Monitoring (H3)
Section: Surveillance Systems, Applied to Fire and Flame Detection (H3)
Section: Surveillance Systems, Applied to Retail Business, Shoppers, Shopping (H3)
Section: Surveillance Systems (H2)
Section: Surveillance Video Summarization, Surveillance Synopsis (H4)
Section: Surveillance, Action, Activity Applications, Motion Detection (H1)
Section: Surveillance, Events, Video Analysis (H3)
* Visual Surveillance in a Dynamic and Uncertain World
17 for Surveillance

Survey, 3-D Description Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Computer Vision: From Surfaces to 3D Objects

Survey, 3-D Images * 3-D Time-Varying Scene Capture Technologies: A Survey
Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)

Survey, 3-D Imaging * 3-D Imaging Advances Capabilities of Machine Vision: Part I
Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)

Survey, 3-D Recognition Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Computer Vision: From Surfaces to 3D Objects

Survey, 3-D Representation Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Scene Representation Technologies for 3DTV: A Survey

Survey, 3-D Research Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Three-Dimensional Research Adds New Dimensions

Survey, 3-D * 3D Computer Vision: Efficient Methods and Applications
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Fundamentals of Three-dimensional Digital Image Processing

Survey, 3D Data Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* new, open standard for 3D imaging data, A

Survey, 3D Models Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Retrieval and classification methods for textured 3D models: A comparative study

Survey, 3D Reconstruction Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
* Image-Based 3D Object Reconstruction: State-of-the-Art and Trends in the Deep Learning Era

Survey, 3D Tools Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Publishing and Consuming 3D Content on the Web: A Survey

Survey, 3D Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Invited Paper: Multiple View Vision
* Semi-Algebraic Solids in 3-Space: A Survey of Modeling Schemes and Implications for View Graphs
* Three-Dimensional Object Recognition

Survey, 3DTV Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
* Depth Sensing for 3DTV: A Survey

Survey, AAM Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Review of Active Appearance Models, A

Survey, Action Localization Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Survey on Video Moment Localization, A

Survey, Action Recognition Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Advances in human action recognition: an updated survey
* Affective Body Expression Perception and Recognition: A Survey
* Going deeper into action recognition: A survey
* Human Action Recognition and Prediction: A Survey
* Human Action Recognition from Various Data Modalities: A Review
* Survey on deep learning methods in human action recognition
* survey on still image based human action recognition, A
* survey on vision-based human action recognition, A
9 for Survey, Action Recognition

Survey, Action Recogniton Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Critical Review of Action Recognition Benchmarks, A

Survey, Active Appearance Models Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Review of Active Appearance Models, A

Survey, Active Contours Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* Bézier and Splines in Image Processing and Machine Vision

Survey, Active Learning Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* Survey of Active Learning for Quantifying Vegetation Traits from Terrestrial Earth Observation Data, A

Survey, Active Vision Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* Animate Vision
* Principles of Animate Vision
* Promising Directions in Active Vision
* Purposive and Qualitative Active Vision

Survey, Activity Recognition Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Activity Recognition with Evolving Data Streams: A Review
* Machine Recognition of Human Activities: A Survey
* Recognition of Humans and Their Activities Using Video
* review of vision-based systems for soccer video analysis, A
* survey of video datasets for human action and activity recognition, A
* Survey of Vision-Based Methods for Action Representation, Segmentation and Recognition, A
* survey on activity recognition and behavior understanding in video surveillance, A
* survey on ontologies for human behavior recognition, A
* tutorial on human activity recognition using body-worn inertial sensors, A
* Video-Based Human Behavior Understanding: A Survey
11 for Survey, Activity Recognition

Survey, Activity Recogniton Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Semantic human activity recognition: A literature review

Survey, Adversairal Networks Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* Adversarial Examples on Object Recognition: A Comprehensive Survey

Survey, Adversarial Defense Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* Adversarial Perturbation Defense on Deep Neural Networks

Survey, Affect Analsis Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Video Affective Content Analysis: A Survey of State-of-the-Art Methods

Survey, Age Estimation Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Age Synthesis and Estimation via Faces: A Survey

Survey, Age Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Modeling of facial aging and kinship: A survey

Survey, Algorithms Section: Books, Collections, Overviews, General, and Surveys (H)
* Algorithms for Graphics and Image Processing

Survey, Alignment Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* Forensic identification by computer-aided craniofacial superimposition: A survey

Survey, Alzheimer's Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
* Comprehensive Report on Machine Learning-Based Early Detection of Alzheimer's Disease Using Multi-Modal Neuroimaging Data, A

Survey, Anatomical Models Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
* Review of Computational Anthropomorphic Anatomical and Physiological Models

Survey, Annotation Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Semantic hierarchies for image annotation: A survey

Survey, Arabic Characters Section: OCR, Document Analysis and Character Recognition Systems (H)
* survey on Arabic character segmentation, A

Survey, Arabic Documents Section: OCR, Document Analysis and Character Recognition Systems (H)
* Automatic processing of Historical Arabic Documents: A comprehensive Survey

Survey, Arabic Handwriting Section: OCR, Document Analysis and Character Recognition Systems (H)
* Arabic Online Handwriting Recognition (AOHR): A Survey
* ICDAR 2009 Online Arabic Handwriting Recognition Competition
* Online Arabic handwriting recognition: a survey

Survey, Arabic Section: OCR, Document Analysis and Character Recognition Systems (H)
* Off-Line Arabic Character-Recognition: The State of the Art
* Offline Arabic Handwriting Recognition: A Survey

Survey, Architectures Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
Section: Parallel and Multi-Processor Algorithms, General, Survey (H2)
* Parallel Computer Architectures for Image Processing

Survey, Aspect Graph Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Aspect Graphs: an Introduction and Survey of Recent Results

Survey, Assistance for Blind Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* Wearable Obstacle Avoidance Electronic Travel Aids for Blind: A Survey

Survey, ATR Section: ATR -- Survey, Review, Evaluation, General Discussions (H2)
Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
* Automatic Target Recognition: State of the Art Survey
* Imaging for Detection and Identification

Survey, Attention Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* Attentive Systems: A Survey
* Computational Models of Human Visual Attention and Their Implementations: A Survey

Survey, Audio-Visual Fusion Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Audiovisual Information Fusion in Human-Computer Interfaces and Intelligent Environments: A Survey

Survey, Augmented Reality Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Virtual Reality Solutions Employing Artificial Intelligence Methods: A Systematic Literature Review

Survey, Authentication Section: OCR, Document Analysis and Character Recognition Systems (H)
* Advances in Digital Video Content Protection

Survey, Autocalibration * *CVOnline: Autocalibration
Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)

Survey, Automation Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Robotics and Automation

Survey, Autonomous Navigation Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* Autonomous Visual Navigation for Mobile Robots: A Systematic Literature Review

Survey, Autonomous Vehicles Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
Section: Autonomous Vehicles, Surveys, Collections, Overviews (H3)
* Computer Vision for Autonomous Vehicles: Problems, Datasets and State of the Art
* Dynamic Vision for Perception and Control of Motion
* Robotic cars won't understand us, and we won't cut them much slack
* Toward Robotic Cars
* Vehicles Capable of Dynamic Vision
7 for Survey, Autonomous Vehicles

Survey, AVC Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
* Video Compression: From Concepts to the H.264/AVC Standard

Survey, AVS Coding Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
* AVS2: Making Video Coding Smarter
* Overview of AVS-video coding standards

Survey, Background Subtraction Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
* Background Modeling using Mixture of Gaussians for Foreground Detection: A Survey
* Background Subtraction Algorithms with Post-processing: A Review
* comprehensive review of background subtraction algorithms evaluated with synthetic and real videos, A
* Moving Object Detection in Spatial Domain using Background Removal Techniques: State-of-Art
* Review and evaluation of commonly-implemented background subtraction algorithms
* Statistical Background Modeling for Foreground Detection: A Survey
7 for Survey, Background Subtraction

Survey, Bayes Nets Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Discrete Bayesian Network Classifiers: A Survey

Survey, BCI Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
* EEG-Based Brain-Controlled Mobile Robots: A Survey

Survey, Bee Colony Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* survey on the applications of artificial bee colony in signal, image, and video processing, A

Survey, Bibliography Section: Books, Collections, Overviews, General, and Surveys (H)
* Annotated Computer Vision Bibliography
* Image Analysis and Computer Vision: 1999

Survey, Biometrics Privacy Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* De-identification for privacy protection in multimedia content: A survey

Survey, Biometrics Section: Biometrics, Surveys, Analysis, Datasets, Legal Issues, Philosophy (H2)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Advances in Biometrics Sensors, Algorithms and Systems
* Authentication by Biometric Verification
* Biometric quality: a review of fingerprint, iris, and face
* Biometric Systems: Technology, Design and Performance Evaluation
* Biometrics
* Biometrics: A New Era in Security
* Deep Learning for Biometrics: A Survey
* Encyclopedia of Biometrics
* Face Biometrics for Personal Identification: Multi-Sensory Multi-Modal Systems
* Guide to Biometric Reference Systems and Performance Evaluation
* Handbook of Biometrics
* Handbook of Remote Biometrics for Surveillance and Security
* Image Pattern Recognition: Synthesis and Analysis in biometrics
* Introduction to Biometric Recognition, An
* Introduction to Biometrics
* Pattern Recognition, Machine Intelligence and Biometrics
* Protecting Privacy in Video Surveillance
* review of biometric technology along with trends and prospects, A
* review of recent advances in 3D ear- and expression-invariant face biometrics, A
* Survey of Wearable Biometric Recognition Systems, A
* survey on biometric recognition using wearable devices, A
* Survey on Biometrics and Cancelable Biometrics Systems, A
* Unconstrained Biometric Identification: Emerging Technologies
26 for Survey, Biometrics

Survey, Brain-Computer Interface Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
* Security in Brain-Computer Interfaces: State-of-the-Art, Opportunities, and Future Challenges
* Survey on Brain-Computer Interface: An Emerging Computational Intelligence Paradigm

Survey, Brain Imaging Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
* Dimensionality Reduction Methods for Brain Imaging Data Analysis

Survey, Brain Tumors Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
* Survey on brain tumor segmentation and feature extraction of MR images

Survey, Building Analysis Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
* Computer Vision-Based Analysis of Buildings and Built Environments: A Systematic Review of Current Approaches

Survey, Buildings Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
* Automatic Object Extraction from Aerial Imagery: A Survey Focusing on Buildings

Survey, CAD Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* CAD-Based Robot Vision
* Machine Interpretation of CAD Data for Manufacturing Applications

Survey, Calibration * *CVonline: System Models, Calibration and Parameter Estimation
Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* Survey on zoom-lens calibration methods and techniques

Survey, Camera Calibration Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* Camera Calibration

Survey, Camera Networks Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Modeling Coverage in Camera Networks: A Survey

Survey, Cameras * *CVonline: Sensors and their Properties
Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* Sensors for Intelligent Robots
* Single-Sensor Imaging in Consumer Digital Cameras: A Survey of Recent Advances and Future Directions

Survey, Cancer Detection Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
* Deep learning for image-based cancer detection and diagnosis: A survey

Survey, Captioning Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Comprehensive Survey of Deep Learning for Image Captioning, A

Survey, Cardiac Segmentation Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* survey of shaped-based registration and segmentation techniques for cardiac images, A

Survey, Cartoons Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Cartoon Image Processing: A Survey

Survey, CBIR Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Semantic content-based image retrieval: A comprehensive study
* SIFT Meets CNN: A Decade Survey of Instance Retrieval

Survey, CBVIR Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Survey on Visual Content-Based Video Indexing and Retrieval, A

Survey, Cell Segmentation Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
* Cell Segmentation: 50 Years Down the Road

Survey, Chain Code Section: Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
* Computer Processing of Line Drawing Images

Survey, Change Detection Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
Section: Remote Sensing General Issue, Land Use, Land Cover (H)
* Deep Learning-Based Change Detection in Remote Sensing Images: A Review
* Image Change Detection Algorithms: A Systematic Survey
* Survey of Change Detection Methods Based on Remote Sensing Images for Multi-Source and Multi-Objective Scenarios, A

Survey, Character Recognition Section: OCR, Document Analysis and Character Recognition Systems (H)
* Survey of Elastic Matching Techniques for Handwritten Character Recognition, A

Survey, Character Segmentation Section: OCR, Document Analysis and Character Recognition Systems (H)
* Survey of Methods and Strategies in Character Segmentation, A

Survey, Checks Processing Section: OCR, Document Analysis and Character Recognition Systems (H)
* Automatic processing of handwritten bank cheque images: a survey

Survey, Chinese Characters Section: Chinese Characters, Review, Survey, Evaluations (H3)
Section: OCR, Document Analysis and Character Recognition Systems (H)
* Online Recognition of Chinese Characters: The State-of-the-Art

Survey, Circle Fitting Section: Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
* Circular and Linear Regression: Fitting Circles and Lines by Least Squares

Survey, Climate Change Section: Remote Sensing General Issue, Land Use, Land Cover (H)
* Tackling Climate Change with Machine Learning

Survey, Cloud Media Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Cloud Mobile Media: Reflections and Outlook

Survey, Clustering Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
Section: Pattern Recognition, General and Survey Articles (H2)
* Data clustering: 50 years beyond K-means
* Survey of Fuzzy Clustering, A
* survey of kernel and spectral methods for clustering, A

Survey, CNN Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* Review of Image Classification Algorithms Based on Convolutional Neural Networks

Survey, Co-Segmentation Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* survey on image and video cosegmentation: Methods, challenges and analyses, A

Survey, Coding Section: Image Compression, Coding, Surveys, Evaluations and Overviews (H3)
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
* Survey of Hybrid MC/DPCM/DCT Video Coding Distortions, A

Survey, Collicion Avoidance Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* Vehicle Detection Techniques for Collision Avoidance Systems: A Review

Survey, Colon Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
* Machine Learning in Computer-Aided Diagnosis of the Thorax and Colon in CT: A Survey

Survey, Color Constancy Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* Computational Color Constancy: Survey and Experiments
* Overview of Color Constancy Algorithms, An

Survey, Color Models Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* survey of skin-color modeling and detection methods, A

Survey, Color Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* Exact Reproduction of Colored Images
* Survey on Color: Aspects of Perception and Computation

Survey, Compression Section: Image Compression, Coding, Surveys, Evaluations and Overviews (H3)
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Section: Motion Coding, Video Coding, Evaluations, Surveys (H2)
Section: Vector Quantization Survey and General (H3)
* Advances in Hardware Architectures for Image and Video Coding: A Survey
* Data Compression
* Image and video compression: A survey
* Image compression with neural networks: A survey
* Introduction to Neural Data Compression, An
* Learning-based Visual Compression
* Scanning The Past
* Second-Generation Image-Coding: An Overview
* Survey of Hybrid MC/DPCM/DCT Video Coding Distortions, A
* Survey on Palette Reordering Methods for Improving the Compression of Color-Indexed Images, A
14 for Survey, Compression

Survey, Compressive Sensing Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
* Compressive Video Sensing: Algorithms, architectures, and applications

Survey, Computational Geometry Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Computational Geometry: A Survey

Survey, Computational Vision Section: Books, Collections, Overviews, General, and Surveys (H)
Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Computational Approaches to Image Understanding
* Computational Models for Integrating Linguistic and Visual Information: A Survey
* Computational Vision
* Integration of Visual Modules: An Extension of the Marr Paradigm
* Unifying Perspectives in Computational and Robot Vision
8 for Survey, Computational Vision

Survey, Computer Graphics Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Systematic Survey on Photorealistic Computer Graphic and Photographic Image Discrimination, A

Survey, Computer Vision * *IAPR Pattern Recognition Education Resources
* *IAPR Tutorials on Topics in 2D Image Analysis, Computer Vision
Section: Books, Collections, Overviews, General, and Surveys (H)
Section: Computer Vision Surveys (H2)
* Computer Vision
* Computer Vision
* Computer Vision
* Computer Vision: Basic Principles
* Computer Vision: Past, Present, and Future
* Computer Vision: Signals, Segments, and Structures
* First steps of robotic perception: the turning point of the 1990s
* From Image Analysis to Computer Vision: An Annotated Bibliography, 1955-1979
* Glossary Of Computer Vision Terms
* Principles of Computer Vision
14 for Survey, Computer Vision

Survey, Concealed Targets Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
* EM Detection of Concealed Targets

Survey, Connected Components Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* connected-component labeling problem: A review of state-of-the-art algorithms, The

Survey, Constraint Satisfaction Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Algorithms for Constraint-Satisfaction Problems: A Survey

Survey, Content Delivery Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Content Delivery Networks: State of the Art, Trends, and Future Roadmap

Survey, Continual Learning Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* Continual Learning Survey: Defying Forgetting in Classification Tasks, A

Survey, Convolutional Networks Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* ImageNet Classification with Deep Convolutional Neural Networks

Survey, Convolutional Neural Networks Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* Convolutional Neural Networks for Inverse Problems in Imaging: A Review

Survey, Coral Reefs Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
* Mapping of Coral Reefs with Multispectral Satellites: A Review of Recent Papers

Survey, Correlation Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* Image Correlation for Shape, Motion and Deformation Measurements Basic Concepts,Theory and Applications

Survey, Covid-10 Management Section: Remote Sensing General Issue, Land Use, Land Cover (H)
* Survey on Data-Driven COVID-19 and Future Pandemic Management, A

Survey, Crack Detection Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* All Terrain Crack Detector Obtained by Deep Learning on Available Databases, An

Survey, Crowds Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Crowded Scene Analysis: A Survey
* Survey of Techniques for Automatically Sensing the Behavior of a Crowd, A

Survey, Cubics Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* On Cubics: a Survey

Survey, Cultural Heritage * 3D Point Cloud for Cultural Heritage: A Scientometric Survey
* 3D reconstruction methods for digital preservation of cultural heritage: A survey
Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)

Survey, Curriculum Learning Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* Curriculum Learning: A Survey

Survey, Cursive Script Section: Handwritten Characters, Cursive Script, Surveys, Data, Comparisons, Evaluations (H4)
Section: OCR, Document Analysis and Character Recognition Systems (H)

Survey, Curvature Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Generalized Curvatures

Survey, Cut Detection Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
Section: Survey, Comparison, Evaluation, of Segmentation and Cut Detection, Summarization (H3)

Survey, Cytology Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
* Cytology Image Analysis Techniques Toward Automation: Systematically Revisited

Survey, Data Augmentation Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* Review of Data Augmentation Methods of Remote Sensing Image Target Recognition, A

Survey, Data Fusion Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* Information Combination Operators for Data Fusion: A Comparative Review with Classification
* Multimodal Data Fusion: An Overview of Methods, Challenges, and Prospects

Survey, Data Mining Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Survey of Data Mining Approaches to User Modeling for Adaptive Hypermedia

Survey, Data Structures Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Data Structures for Range Searching
* Hierarchical Representations of Collections of Small Rectangles
* Quadtree and Related Hierarchical Data Structures, The

Survey, Database Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Image Database Management

Survey, Dataset Bias Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* survey on bias in visual datasets, A

Survey, Datasets Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* RGBD Datasets: Past, Present and Future

Survey, Deblurring Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
* Single-image deblurring with neural networks: A comparative survey

Survey, Decision Tree Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* Survey of Decision Tree Classifier Methodology, A
* Top-down induction of decision trees classifiers: A survey

Survey, Deep Learning Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* Deep Learning Advances in Computer Vision with 3D Data: A Survey
* Deep Reinforcement Learning: A Brief Survey
* Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications
* Review on Deep Learning Classifier for Hyperspectral Imaging, A

Survey, Deep Nets Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* Advanced Deep-Learning Techniques for Salient and Category-Specific Object Detection: A Survey

Survey, Deep Networks Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* Survey on Fuzzy Deep Neural Networks, A

Survey, Deep Neural Networks Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* Efficient Processing of Deep Neural Networks: A Tutorial and Survey

Survey, Deepfakes Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Creation and Detection of Deepfakes: A Survey, The
* Economics of Deepfakes, The
* Survey on Deepfake Video Detection, A

Survey, Defect Detection Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Review of Recent Advances in Surface Defect Detection using Texture analysis Techniques, A

Survey, Deformable Models Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Deformable Models, General, Overview (H2)
* Deformable Models in Medical Image Analysis: A Survey
* Physics-Based Deformable Models Applications to Computer Vision, Graphics and Medical Imaging
* review of deformable surfaces: topology, geometry and deformation, A

Survey, Deformable Registration Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Review of Geometric Transformations for Nonrigid Body Registration, A

Survey, Dehazing Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* Comprehensive Survey and Taxonomy on Single Image Dehazing Based on Deep Learning, A

Survey, Demosaicing Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
* Recent Patents on Color Demosaicing

Survey, Denoising Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
* From Heuristic Optimization to Dictionary Learning: A Review and Comprehensive Comparison of Image Denoising Algorithms
* Image Denoising: The Deep Learning Revolution and Beyond: A Survey Paper

Survey, Depth Cameras Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* overview of depth cameras and range scanners based on time-of-flight technologies, An

Survey, Depth Measurement Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* Perspective on Range Finding Techniques for Computer Vision, A

Survey, Depth Super-Resolution Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
* Guided Depth Map Super-Resolution: A Survey

Survey, Depth Super Resolution Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
* Image-guided ToF depth upsampling: a survey

Survey, Descriptions Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* survey of traditional and deep learning-based feature descriptors for high dimensional data in computer vision, A

Survey, Descriptions, Three-Dimensional Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* Recent Progress in the Recognition of Objects from Range Data

Survey, Devanagari Section: OCR, Document Analysis and Character Recognition Systems (H)
* Offline Recognition of Devanagari Script: A Survey

Survey, Diffusion Process Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: Diffusion Process, Survey, Overview (H2)

Survey, Diffusion Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* Diffusion Models in Vision: A Survey

Survey, Digit Recognition Section: OCR, Document Analysis and Character Recognition Systems (H)
* Handwritten Digit Recognition: Benchmarking of State-of-the-Art Techniques

Survey, Digit Segmentation Section: OCR, Document Analysis and Character Recognition Systems (H)
* Handwritten digit segmentation: a comparative study

Survey, Digital Geometry Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Digital Geometry Algorithms

Survey, Digital Topology Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Digital Topology: Introduction and Survey
* Survey of Algebraic Methods in Digital Topology, A

Survey, Dimensionality Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* Data dimensionality estimation methods: a survey

Survey, Discrminiant Analysis Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* Discriminant Subspace Analysis: A Fukunaga-Koontz Approach

Survey, Display * 3D-television: A survey of recent research results on subjective requirements
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
* survey of perceptual evaluations and requirements of three-dimensional TV, A
* Survey of Techniques for the Display of Continuous Tone Pictures on Bilevel Displays, A

Survey, Displays Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
* Handbook of Visual Display Technology
* Interaction with Large Displays: A Survey
* Vision and Displays for Military and Security Applications: The Advanced Deployable Day/Night Simulation Project

Survey, Distance Functions Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Local Distance Functions: A Taxonomy, New Algorithms, and an Evaluation

Survey, Distance Measures * 2D Euclidean distance transform algorithms: A comparative survey
Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Searching in metric spaces

Survey, Distance Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Using matching distance in size theory: A survey

Survey, DNA Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
Section: Surveys, Comparisons, Cells, DNA (H2)

Survey, Document Analysis Section: Document Analysis Systems, General, Survey, Evaluation (H2)
Section: Documents and Character Analysis -- Surveys, Comparisons, Evaluations (H1)
Section: OCR, Document Analysis and Character Recognition Systems (H)
* Automatic Document Processing: A Survey
* Camera-based analysis of text and documents: a survey
* Twenty Years of Document Image Analysis in PAMI

Survey, Document Layout Section: OCR, Document Analysis and Character Recognition Systems (H)
* Document Layout Analysis: A Comprehensive Survey

Survey, Document Processing * *DOCBIB
Section: OCR, Document Analysis and Character Recognition Systems (H)

Survey, Document Quality Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
* Document Image Quality Assessment: A Survey

Survey, Document Segmentation Section: OCR, Document Analysis and Character Recognition Systems (H)
* Artificial Neural Networks for Document Analysis and Recognition
* survey of table recognition: Models, observations, transformations, and inferences, A
* Table-processing paradigms: a research survey

Survey, Domain Adaptation Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* Eyes of the Gods: A Survey of Unsupervised Domain Adaptation Methods Based on Remote Sensing Data, The

Survey, Domain Adaption Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* Deep visual unsupervised domain adaptation for classification tasks: A survey

Survey, Domain Generalization Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* Domain Generalization: A Survey

Survey, Drawing Recognition Section: OCR, Document Analysis and Character Recognition Systems (H)
* Image Processing for Data Capture

Survey, Driver Assistance Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* Challenges of Partially Automated Driving, The
* Driving Style Recognition for Intelligent Vehicle Control and Advanced Driver Assistance: A Survey
* Vehicle Surround Capture: Survey of Techniques and a Novel Omni-Video-Based Approach for Dynamic Panoramic Surround Maps
* Vehicles of the Future: A Survey of Research on Safety Issues
* Video-based lane estimation and tracking for driver assistance: Survey, system, and evaluation

Survey, Driver Fatigue Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Driver Fatigue Detection Systems: A Review

Survey, Driver Monitoring Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Driver Emotion Recognition for Intelligent Vehicles: A Survey
* In-Car Positioning and Navigation Technologies: A Survey
* Multimodal Features for Detection of Driver Stress and Fatigue: Review
* Survey on various lane and driver detection techniques based on image processing for hilly terrain

Survey, Driver Stress Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Critical Review of Proactive Detection of Driver Stress Levels Based on Multimodal Measurements, A

Survey, Dynamic Vision Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* Dynamic Vision

Survey, Ear Biometrics Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* survey on ear biometrics, A

Survey, Ear Recognition Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Survey of 3D Ear Recognition Techniques, A

Survey, Edge Computing Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Edge Computing and Sensor-Cloud: Overview, Solutions, and Directions
* Mobile Edge Computing and Machine Learning in the Internet of Unmanned Aerial Vehicles: A Survey

Survey, Edge Detection Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
* Edge and line oriented contour detection: State of the art
* Edge Detection and Geometric Methods in Computer Vision
* Gaussian-based edge-detection methods: A Survey
* Survey of Edge Detection Techniques, A

Survey, Edge Detectors Section: Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
* Review of Classic Edge Detectors, A

Survey, EEG Emotion Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* EEG Based Emotion Recognition: A Tutorial and Review

Survey, EEG Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
* Advances in Electroencephalography Signal Processing
* Toward Open-World Electroencephalogram Decoding Via Deep Learning: A comprehensive survey

Survey, Ego-Motion Section: Optical Flow Field Computations and Use (H)
* review and evaluation of methods estimating ego-motion, A

Survey, Egocentric Analysis Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Summarization of Egocentric Videos: A Comprehensive Survey

Survey, Egocentric Video Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Predicting the future from first person (egocentric) vision: A survey

Survey, Egocentric Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Evolution of First Person Vision Methods: A Survey, The

Survey, Electric Vehicles Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Computational Challenges and Approaches for Electric Vehicles

Survey, Emotion Recognition Section: Emotion Recognition, Survey, General, Review, Datasets, Database (H4)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Survey on Human Emotion Recognition Approaches, Databases and Applications, A

Survey, Emotion Recogniton Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions, A
* Survey on RGB, 3D, Thermal, and Multimodal Approaches for Facial Expression Recognition: History, Trends, and Affect-Related Applications

Survey, Emotions Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Descriptive Survey on Face Emotion Recognition Techniques, A

Survey, Emotions, EEG Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Emotions Recognition Using EEG Signals: A Survey

Survey, Energy Minimization Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
* Comparative Study of Energy Minimization Methods for Markov Random Fields with Smoothness-Based Priors, A

Survey, Enhancement Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* Review of Enhancement and Segmentation Techniques for Digital Images, A

Survey, Ensemble Clustering Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* overview of ensemble methods for binary classifiers in multi-class problems: Experimental study on one-vs-one and one-vs-all schemes, An

Survey, Ergonomics Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Human Work and Status Evaluation Based on Wearable Sensors in Human Factors and Ergonomics: A Review

Survey, Evaluation * *Reproducible Research
Section: Books, Collections, Overviews, General, and Surveys (H)
Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* Bibliography on Estimation of Misclassification

Survey, Event Recognition Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* High-level event recognition in unconstrained videos

Survey, Evolutionary Clustering Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* Survey of Evolutionary Algorithms for Clustering, A

Survey, Explainable Learning Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* Explainable deep learning for efficient and robust pattern recognition: A survey of recent developments

Survey, Explainable Networks Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* Perturbation-based methods for explaining deep neural networks: A survey

Survey, Eye Detection Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* literature survey on robust and efficient eye localization in real-life scenarios, A

Survey, Eye Tracking Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Eye Tracking Methodology: Theory and Practice
* Passive Eye Monitoring: Algorithms, Applications and Experiments
* Survey of Eye Tracking in Automobile and Aviation Studies: Implications for Eye-Tracking Studies in Marine Operations, A
* Survey on the Usage of Eye-Tracking in Computer Programming, A

Survey, Fabric Defects Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Automated fabric defect detection: A review

Survey, Face Alignment Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Face alignment in-the-wild: A Survey

Survey, Face Animation Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Data-Driven 3D Facial Animation
* MPEG-4 Facial Animation Technology: Survey, Implementation, and Results

Survey, Face Detection Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Detecting Faces in Images: A Survey
* Face Detection, Alignment, and Recognition
* Face Detection: A Survey
* How we detect a face: A survey of psychological evidence
* survey on face detection in the wild: Past, present and future, A

Survey, Face Hallucination Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Survey on GAN-based face hallucination with its model development

Survey, Face Modeling Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* survey on face modeling: building a bridge between face analysis and synthesis, A

Survey, Face Recognition Section: Face Analysis, Evaluations, Benchmarks, Databases of Images (H2)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Automatic Recognition and Analysis of Human Faces and Facial Expressions: A Survey
* Comprehensive Survey to Face Hallucination, A
* Computers Seeing People
* Connectionist Models of Face Processing: A Survey
* Dictionaries for image and video-based face recognition
* Dynamic face recognition: From human to machine vision
* Face recognition across pose: A review
* Face Recognition by Computers and Humans
* Face Recognition by Humans: Nineteen Results All Computer Vision Researchers Should Know About
* Face Recognition from a Single Image Per Person: A Survey
* Face Recognition: A Literature Survey
* Facial Analytics: From Big Data to Law Enforcement
* FRVT 2006 and ICE 2006 Large-Scale Experimental Results
* Human and Machine Recognition of Faces: A Survey
* Human and Machine Recognition of Faces: A Survey
* Illumination Invariant Face Recognition: A Survey
* Improving Face Recognition Technology
* Infrared face recognition: A comprehensive review of methodologies and databases
* Learning the Face Space: Representation and Recognition
* Low-resolution face recognition: a review
* Occlusion detection and restoration techniques for 3D face recognition: a literature review
* Recent Advances on Singlemodal and Multimodal Face Recognition: A Survey
* Reliable Face Recognition Methods: System Design, Implementation and Evaluation
* Sparse representation for face recognition: A review paper
* survey of approaches and challenges in 3D and multi-modal 3D-2D face recognition, A
* survey on deep learning based face recognition, A
29 for Survey, Face Recognition

Survey, Face Recogniton Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Recent Advances in Face Recognition

Survey, Face Recongition Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Impact of Bio-Inspired Approaches Toward the Advancement of Face Recognition, The

Survey, Face Super-Resolution Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
* Deep Learning-Based Face Super-Resolution: A Survey

Survey, Face Synthesis Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Generative adversarial networks and their application to 3D face generation: A survey
* Synthesis of Facial Expressions in Photographs: Characteristics, Approaches, and Challenges

Survey, Facial Action Unit Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* comprehensive survey on automatic facial action unit analysis, A

Survey, Facial Affect Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Automatic Analysis of Facial Affect: A Survey of Registration, Representation, and Recognition

Survey, Facial Expression Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Survey on Facial Expression Recognition: History, Applications, and Challenges

Survey, Facial Expressions * 3D Face Recognition: Two Decades of Progress and Prospects
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Facial Expressions, Overviews, Surveys, Data (H3)
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Automatic Analysis of Facial Expressions: The State of the Art
* Automatic Facial Expression Analysis: A Survey
* Automatic Recognition and Analysis of Human Faces and Facial Expressions: A Survey
* Facial Expression Analysis under Partial Occlusion: A Survey
* Facial Expression Recognition Based on Local Binary Patterns: A Comprehensive Study
* Facial expression recognition techniques: a comprehensive survey
* Multiview Facial Expression Recognition, A Survey
* review of motion analysis methods for human Nonverbal Communication Computing, A
* Static and dynamic 3D facial expression recognition: A comprehensive survey
* Survey on real-time facial expression recognition techniques
* Systematic review of 3D facial expression recognition methods
15 for Survey, Facial Expressions

Survey, Facial Features Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* survey of local feature methods for 3D face recognition, A

Survey, Facial Landmarks Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Facial Landmark Detection: A Literature Survey
* Survey on the approaches based geometric information for 3D face landmarks detection

Survey, Factorization Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
* Guide to Three Dimensional Structure and Motion Factorization

Survey, Fake News Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Survey on Explainable Fake News Detection, A

Survey, Fashion Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Fashion Meets Computer Vision: A Survey

Survey, Feature Coding Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Feature Coding in Image Classification: A Comprehensive Study

Survey, Feature Computation Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Geometric Computing for Wavelet Transforms, Robot Vision, Learning, Control and Action

Survey, Feature Extraction * *CVonline: Geometric Feature Extraction Methods
Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)

Survey, Features Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Local Invariant Feature Detectors: A Survey

Survey, Few-Shot Learning Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* Comprehensive Survey of Few-Shot Learning: Evolution, Applications, Challenges, and Opportunities, A

Survey, Few-Shot Object Detection Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Survey of Self-Supervised and Few-Shot Object Detection, A

Survey, Filters * *CVonline: Image Transformations and Filters
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
* Tour of Modern Image Filtering: New Insights and Methods, Both Practical and Theoretical, A

Survey, Fingerprint Enhancement Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Survey on the impact of fingerprint image enhancement

Survey, Fingerprints Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Advances in Fingerprint Technology
* Automatic Fingerprint Recognition Systems
* Handbook of Fingerprint Recognition
* Review Of Fingerprint Image Enhancement Methods, A
* Token-Based Fingerprint Authentication

Survey, Fonts Section: Books, Collections, Overviews, General, and Surveys (H)
* Evaluation of Fonts for Digital Publishing and Display

Survey, Foreground Objects Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
* Detection of stationary foreground objects: A survey

Survey, Forensics Section: OCR, Document Analysis and Character Recognition Systems (H)
* Bibliography of digital image anti-forensics and anti-anti-forensics techniques

Survey, Forgery Detecion Section: OCR, Document Analysis and Character Recognition Systems (H)
* bibliography on blind methods for identifying image forgery, A

Survey, Forgery Detection Section: OCR, Document Analysis and Character Recognition Systems (H)
* Survey on blind image forgery detection
* survey on image tampering and its detection in real-world photos, A

Survey, Fundamental Matrix Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* Survey Addressing the Fundamental Matrix Estimation Problem, A

Survey, Fusion * *CVonline: Sensor Fusion, Registration and Planning
Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* Review of Image Fusion Algorithms Based on the Super-Resolution Paradigm, A
* Survey and analysis of various image fusion techniques for clinical CT and MRI images

Survey, Fuzzy Sets Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Rough Fuzzy Image Analysis: Foundations and Methodologies

Survey, Gait Analysis Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Robust gait recognition: a comprehensive survey

Survey, Gait Recognition Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Survey on Gait Recognition, A

Survey, Gait Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Automatic Recognition by Gait
* Deep Gait Recognition: A Survey
* Gait Recognition Based on Deep Learning: A Survey
* Gait-based Person Re-identification: A Survey
* Review of gait recognition approaches and their challenges on view changes
* Survey on Gait Recognition via Wearable Sensors, A
* survey on spatio-temporal framework for kinematic gait analysis in RGB videos, A
8 for Survey, Gait

Survey, GAN Training Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* survey of robust adversarial training in pattern recognition: Fundamental, theory, and methodologies, A

Survey, GAN Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* Generative Adversarial Networks
* Generative Adversarial Networks (GANs): Challenges, Solutions, and Future Directions
* Generative adversarial networks and their application to 3D face generation: A survey
* Generative Adversarial Networks in Computer Vision: A Survey and Taxonomy
* Survey on Generative Adversarial Networks: Variants, Applications, and Training, A
7 for Survey, GAN

Survey, Gaze Determination Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* In the Eye of the Beholder: A Survey of Models for Eyes and Gaze

Survey, Gaze Tracking * *Gaze Interaction Bibliography
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Eye gaze tracking techniques for interactive applications

Survey, Gaze Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Eye in Extended Reality: A Survey on Gaze Interaction and Eye Tracking in Head-Worn Extended Reality, The

Survey, Generative Modeling Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models

Survey, Generic Object Detecion Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Deep Learning for Generic Object Detection: A Survey

Survey, Geometric Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Historical Survey of Geometric Computer Vision, A

Survey, Geoscience Section: Remote Sensing General Issue, Land Use, Land Cover (H)
* Intelligent Systems for Geosciences: An Essential Research Agenda

Survey, Geospatial Matching Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Survey of Measures and Methods for Matching Geospatial Vector Datasets, A

Survey, Gesture Recognition Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Beyond Kinect: Microsoft's vision for next-gen interfaces
* Light on horizontal interactive surfaces: Input space for tabletop computing

Survey, Gesture Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Gesture, Overviews, Surveys, Evaluations (H3)
* Automatic sign language analysis: A survey and the future beyond lexical meaning
* Gesture Recognition: A Survey
* Look Ma, No Mouse!: Simplifying Human-Computer Interaction by Using Hand Gestures

Survey, Gestures Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Hand Gestures Recognition Using Radar Sensors for Human-Computer-Interaction: A Review
* Two-Dimensional Stroke Gesture Recognition: A Survey

Survey, GIS Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
Section: Remote Sensing General Issue, Land Use, Land Cover (H)
* Geographic Data Processing
* Survey of Spatio-Temporal Databases
* Three-Dimensional Spatial Information Systems: State of the Art Review

Survey, GNSS Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* Survey and Analysis of the GNSS Spoofing Threat and Countermeasures, A

Survey, Grammars Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* Grammatical Inference: Introduction and Survey
* Linguistic Methods in Picture Processing: A Survey

Survey, Graph Isomorphism Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Graph Isomorphism Problem, The

Survey, Graph Matching Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Bridging the Gap Between Graph Edit Distance and Kernel Machines
* Parallel Graph Algorithms
* Survey on Distributed Graph Pattern Matching in Massive Graphs, A

Survey, Graph Neural Networks Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* Computing Graph Neural Networks: A Survey from Algorithms to Accelerators

Survey, Graphics and Vision Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Convergence of Graphics and Vision, The

Survey, Graphics Recognition Section: OCR, Document Analysis and Character Recognition Systems (H)
* Mathematical Expression Recognition: A Survey

Survey, Graphs Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Comprehensive Survey of Scene Graphs: Generation and Application, A

Survey, Grasslands Section: Remote Sensing General Issue, Land Use, Land Cover (H)
* Remote Sensing of Grassland Production and Management: A Review

Survey, GUI Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Interactive Visual User Interfaces: A Survey

Survey, H.264 Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
* Video Compression: From Concepts to the H.264/AVC Standard

Survey, Halftone Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
* Modern Digital Halftoning

Survey, Hand Gestures Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Recent methods and databases in vision-based hand gesture recognition: A review
* Survey on 3D Hand Gesture Recognition

Survey, Hand Pose Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* survey on 3D hand pose estimation: Cameras, methods, and datasets, A
* Vision-based hand pose estimation: A review

Survey, Handwriting Recognition Section: OCR, Document Analysis and Character Recognition Systems (H)
* bibliometric analysis of off-line handwritten document analysis literature (1990-2020), A
* More than twenty years of advancements on Frontiers in handwriting recognition

Survey, Handwriting Section: OCR, Document Analysis and Character Recognition Systems (H)
* Forty years of research in character and document recognition: An industrial perspective
* Handwriting Recognition Algorithm in Different Languages: Survey
* Markov models for offline handwriting recognition: a survey
* Offline Cursive Script Word Recognition: A Survey
* On-Line and Off-Line Handwriting Recognition: A Comprehensive Survey
* On-Line Handwriting Recognition: A Survey
* Online character recognition system using string comparison processor
* survey on off-line Cursive Word Recognition, A
9 for Survey, Handwriting

Survey, Handwritting, Arabic Section: OCR, Document Analysis and Character Recognition Systems (H)
* Offline arabic handwritten text recognition: A Survey

Survey, Haptic Technology Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
* Survey on Haptic Technologies for Mobile Augmented Reality, A

Survey, Hardware Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Algorithm/Architecture Co-Exploration of Visual Computing on Emergent Platforms: Overview and Future Prospects

Survey, Haze Removal Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* survey on analysis and implementation of state-of-the-art haze removal techniques, A

Survey, HCI Section: Books, Collections, Overviews, General, and Surveys (H)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Engagement in HCI: Conception, Theory and Measurement
* Multimodal User Interfaces: From Signals to Interaction
* Perceptual Interfaces
* Practical Paradigm and Platform for Video-Based Human-Computer Interaction, A
* Real-Time Vision for Human-Computer Interaction
* Using Formal Verification to Evaluate Human-Automation Interaction: A Review
8 for Survey, HCI

Survey, Head Pose Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Computer Vision for Head Pose Estimation: Review of a Competition
* Head Pose Estimation in Computer Vision: A Survey
* Head pose estimation: An extensive survey on recent techniques and applications

Survey, Histopathology Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
* Histopathological Image Analysis: A Review

Survey, Historical Documents Section: OCR, Document Analysis and Character Recognition Systems (H)
* Named Entity Recognition and Classification in Historical Documents: A Survey

Survey, Holograms Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
* Computer-Generated Holograms for 3D Imaging: A Survey

Survey, Hough Transform Section: Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
* survey of Hough Transform, A

Survey, Hough * *CVOnline: Hough Transform
Section: Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
* Real-Time Detection of Lines and Grids: By PClines and Other Approaches
* Survey of the Hough Transform and Its Extensions for Curve Detection, A
* Survey of the Hough Transform, A
* Survey: Which Hough Transform?

Survey, Huffman Coding Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
* Huffman Coding

Survey, Human-Computer Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Continuous Human Action Recognition for Human-Machine Interaction: A Review

Survey, Human Actions Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Survey on classifying human actions through visual sensors

Survey, Human Activity Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Human Activity Analysis: A Review
* Survey on Deep Learning for Human Activity Recognition, A
* Video-Based Abnormal Human Behavior Recognition: A Review

Survey, Human Detection Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Understanding Transit Scenes: A Survey on Human Behavior-Recognition Algorithms

Survey, Human Motion Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Advances in View-Invariant Human Motion Analysis: A Review
* Fuzzy human motion analysis: A review
* Video analysis of human dynamics: A Survey
* Visual Analysis of Human Movement: A Survey, The

Survey, Human Pose * 3D Human pose estimation: A review of the literature and analysis of covariates
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Deep 3D human pose estimation: A review
* Human pose estimation and its application to action recognition: A survey
* Recent Advances of Monocular 2D and 3D Human Pose Estimation: A Deep Learning Perspective
* review of 3D human pose estimation algorithms for markerless motion capture, A
* Vision-Based Human Pose Estimation via Deep Learning: A Survey
8 for Survey, Human Pose

Survey, Human Recognition Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Human Recognition at a Distance in Video

Survey, Human Robot Interaction Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Survey of Human Action Analysis in HRI Applications, A

Survey, Human Shape Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Segmentation and Modeling of Full Human Body Shape From 3-D Scan Data: A Survey

Survey, Human Vision Section: Books, Collections, Overviews, General, and Surveys (H)
* Computational Analysis of the Human Eye with Applications
* Fundamentals of Imaging: From Particles to Galaxies, The
* Human and Machine Vision Special Issue
* Survey of Biologically Inspired Image Processing for Objects Recognition, A
* Vision: Images, Signals and Neural Networks, Models of Neural Processing in Visual Perception

Survey, Hyperspectral Imaging Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* Deep learning classifiers for hyperspectral imaging: A review

Survey, Hyperspectral Targets Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* Hyperspectral Target Detection : An Overview of Current and Future Challenges

Survey, Image Analysis Section: Books, Collections, Overviews, General, and Surveys (H)
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
* Critical Survey of Image Analysis Methods, A
* Lying with Pixels

Survey, Image Annotation Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Automatically Annotating Images with Keywords: A Review of Image Annotation Systems
* review on automatic image annotation techniques, A

Survey, Image Based Rendering * *Principles of 3D Image Analysis and Synthesis
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Image Based Rendering, IBR, Surveys, Reviews, Evaluations (H3)
* Image Based Rendering
* Image-Based Rendering
* Image-Based Rendering
* Light Field Sampling
* Survey of image-based representations and compression techniques
* Survey on Image-Based Rendering: Representation, Sampling and Compression, A
* View Synthesis Using Stereo Vision
10 for Survey, Image Based Rendering

Survey, Image Captions Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* From Show to Tell: A Survey on Deep Learning-Based Image Captioning

Survey, Image Completion Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Image amodal completion: A survey

Survey, Image Compression Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
* Handbook of Data Compression

Survey, Image Database Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
Section: Video Database General, Overview, Survey and Evaluations (H3)

Survey, Image Enhancement Section: Image Enhancement, Survey, Review, Evaluation (H2)
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
* Comprehensive evaluation of image enhancement for unsupervised image description and matching
* Digital Image Enhancement: A Survey

Survey, Image Forensics Section: OCR, Document Analysis and Character Recognition Systems (H)
* bibliography on blind methods for identifying image forgery, A

Survey, Image Formation * *CVonline: Image Physics
Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)

Survey, Image Fusion Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* Image Fusion: Theories, Techniques and Applications
* wavelet-based image fusion tutorial, A

Survey, Image Matting Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Image Matting: A Comprehensive Survey on Techniques, Comparative Analysis, Applications and Future Scope

Survey, Image Mosaic Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
* survey on image mosaicing techniques, A

Survey, Image Processing Section: Books, Collections, Overviews, General, and Surveys (H)
* Computer Image Processing and Recognition
* Digital Image Processing
* Digital Image Processing (First Edition)
* Digital Image Processing, Second Edition
* Digital Picture Processing
* Fundamentals of Digital Image Processing
* Image Analysis: Problems, Progress and Prospects
* Picture Recognition and Scene Analysis
* Processing Visual Data with an Automaton Eye
* Research in Picture Processing
11 for Survey, Image Processing

Survey, Image Quality Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
* Full-Reference Image Quality Metrics: Classification and Evaluation
* Modern Image Quality Assessment

Survey, Image Registration Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* Deformable Medical Image Registration: A Survey

Survey, Image Retrieval Section: Image Database, Retrieval -- Surveys, Evaluations (H2)
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
Section: Video Database General, Overview, Survey and Evaluations (H3)
* Adaptive Methods for Distributed Video Presentation
* Content-Based 3-D Model Retrieval: A Survey
* Content-Based Image Retrieval at the End of the Early Years
* Content-Based Image Retrieval: An Overview
* Content-Based Multimedia Information Retrieval: State-of-the-Art and Challenges
* Content-Based Representation and Retrieval of Visual Media: A State-of-the-Art Review
* critical evaluation of image and video indexing techniques in the compressed domain, A
* Digital Video Analysis and Recognition for Content-Based Access
* Exploring Functionalities in the Compressed Image Video Domain
* Feature-based similarity search in 3D object databases
* From Pixels to Semantic Spaces: Advances in Content-Based Image Retrieval
* heterogeneous feature selection with structural sparsity for multimedia annotation and hashing: a survey, The
* Image Database Systems: A Survey
* Image Databases and Multi-Media Search
* Image Retrieval from the World Wide Web: Issues, Techniques, and Systems
* Image retrieval: Ideas, influences, and trends of the new age
* Indexing Pictorial Documents by Their Content: A Survey of Current Techniques
* Interactive search in image retrieval: a survey
* Myth of Semantic Video Retrieval, The
* Principles of Visual Information Retrieval
* State-of-the-Art in Content-Based Image and Video Retrieval
* Survey of compressed-domain features used in audio-visual indexing and analysis
* survey of content-based image retrieval with high-level semantics, A
* survey on the use of pattern recognition methods for abstraction, indexing and retrieval of images and video, A
* Survey on: Contents Based Search in Image Databases, A
* Visual Query Systems for Databases: A Survey
29 for Survey, Image Retrieval

Survey, Image Stitching Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
* Image Alignment and Stitching

Survey, Image Synthesis Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* Generative Adversarial Networks for Image and Video Synthesis: Algorithms and Applications

Survey, Image Understanding * *CVonline: Scene Understanding
Section: Books, Collections, Overviews, General, and Surveys (H)
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Foundations of Image Understanding

Survey, Imaging Section: Books, Collections, Overviews, General, and Surveys (H)
* Fundamentals of Imaging: From Particles to Galaxies, The

Survey, Imbalanced Data Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* Systematic Review on Imbalanced Data Challenges in Machine Learning: Applications and Solutions, A

Survey, Immersion Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Road to Immersive Communication, The

Survey, Inage Fusion Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* Objective Assessment of Multiresolution Image Fusion Algorithms for Context Enhancement in Night Vision: A Comparative Study

Survey, Indexing * *CVonline: Color and Reflectance
* *CVonline: Databases and Indexing
Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)

Survey, Indian Script Section: OCR, Document Analysis and Character Recognition Systems (H)
* Indian script character recognition: a survey

Survey, Industrial Applications Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Robot Vision
* survey on industrial vision systems, applications and tools, A

Survey, Infrared Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* IR Cameras Take Aim at Machine-Vision Applications
* Thermal cameras and applications: a survey

Survey, Inpainting Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* comprehensive review of past and present image inpainting methods, A
* Deep learning for image inpainting: A survey
* Image Inpainting: Overview and Recent Advances

Survey, Insects Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* survey on image-based insect classification, A

Survey, Inspection Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
Section: Inspection Systems -- General, Survey, Review (H3)
* Automated Visual Inspection Techniques and Applications: A Bibliography
* Automated Visual Inspection: 1981 to 1987
* Automated Visual Inspection: A Survey
* Automatic fruit recognition: A survey and new results using Range/Attenuation images
* Automatic PCB Inspection Algorithms: A Survey
* Develop a Non-contact Automated Dimensional Inspection System for Automotive Manufacturing Industry
* Electron Image Processing: A Survey
* Printed Circuit Board inspection
* Survey of Automated Visual Inspection, A
* Trends in automated visual inspection
12 for Survey, Inspection

Survey, Intelligent Transportation Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Analyzing Highly Cited Papers in Intelligent Transportation Systems

Survey, Interaction Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Multimodal interaction: A review

Survey, Interactions Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Analyzing human-human interactions: A survey

Survey, Interpolation Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
* Survey: interpolation methods in medical image processing

Survey, Interreflections Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
* Interreflections in Computer Vision: A Survey and an Introduction to Spectral Infinite-Bounce Model

Survey, Intrinsic Images Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
* Survey on Intrinsic Images: Delving Deep into Lambert and Beyond, A

Survey, Invariance * *Geometric Invariance in Computer Vision
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)

Survey, Invariants Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Recognizing Planar Objects Using Invariant Image Features
* Sparse and Redundant Representations From Theory to Applications in Signal and Image Processing

Survey, Iris Recognition Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Iris Recognition Systems, Systems, Evaluation, Comparison, Surveys (H3)
* Comments on the CASIA version 1.0 Iris Data Set
* How Iris Recognition Works
* Image Understanding for Iris Biometrics: A survey
* Iris Recognition
* Iris recognition through machine learning techniques: A survey
* Iris Recognition: An Emerging Biometric Technology
* Iris Recognition: The Path Forward
* Long range iris recognition: A survey
10 for Survey, Iris Recognition

Survey, Iris Reognition Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* survey of iris datasets, A

Survey, Irrigation Section: Remote Sensing General Issue, Land Use, Land Cover (H)
* Review of Irrigation Information Retrievals from Space and Their Utility for Users, A

Survey, JPEG 2000 Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
* JPEG 2000: Retrospective and New Developments

Survey, JPEG * *JPEG 2000
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)

Survey, Kalman Filter Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
* Introduction to the Kalman Filter, An
* Understanding the Basis of the Kalman Filter Via a Simple and Intuitive Derivation

Survey, Keystroke Biometrics Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Mobile keystroke dynamics for biometric recognition: An overview

Survey, Kinship Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Modeling of facial aging and kinship: A survey

Survey, Knee, MRI Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
* Knee Articular Cartilage Segmentation from MR Images: A Review

Survey, Knowledge-Based Vision Section: Knowledge-Based Vision, Surveys, Overviews (H3)
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Knowledge-Based Image Understanding Systems: A Survey

Survey, Knowledge Distillation Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Knowledge Distillation: A Survey
* When Object Detection Meets Knowledge Distillation: A Survey

Survey, Knuckle Prints Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Knuckle Print Biometrics and Fusion Schemes: Overview, Challenges, and Solutions

Survey, Landmark Recognition Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* Comparative Study of Mobile-Based Landmark Recognition Techniques, A

Survey, Landsat Change Detection Section: Remote Sensing General Issue, Land Use, Land Cover (H)
* Systematic Review of Landsat Data for Change Detection Applications: 50 Years of Monitoring the Earth, A

Survey, Landslides Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
* Remote Sensing of Landslides: A Review

Survey, Lane Detection Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* Keeping the vehicle on the road: A survey on on-road lane detection systems
* Survey on various lane and driver detection techniques based on image processing for hilly terrain

Survey, LBP Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Local Binary Patterns and Its Application to Facial Image Analysis: A Survey

Survey, Learning Section: Learning, General Surveys, Overviews (H2)
Section: New Unsorted Entries, and Other Miscellaneous Papers (H)
Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* Machine Learning, Machine Vision, and the Brain
* Pattern classification and clustering: A review of partially supervised learning approaches
* Representation Learning: A Review and New Perspectives

Survey, Level Set Segmentation Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* Variational and Level Set Methods in Image Segmentation

Survey, License Plates Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* License Plate Recognition From Still Images and Video Sequences: A Survey

Survey, LIDAR Sensors Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* Synthesis of Transportation Applications of Mobile LIDAR

Survey, Light Field Quality Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* survey on visual quality assessment methods for light fields, A

Survey, Line Drawings Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
* Computer Processing of Line Images: A Survey
* Line Drawings from 3D Models: A Tutorial

Survey, Line Labeling * *CVOnline: Line drawings and line labeling
* *CVOnline: Polyhedral World Line Labeling
Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)

Survey, Lip Reading Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Survey on automatic lip-reading in the era of deep learning

Survey, Liver Segmentation Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
* Comparison and Evaluation of Methods for Liver Segmentation From CT Datasets

Survey, Localization Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* Non-GPS Positioning Systems: A Survey
* Seamless Outdoors-Indoors Localization Solutions on Smartphones: Implementation and Challenges
* survey on Visual-Based Localization: On the benefit of heterogeneous data, A

Survey, Long-Tailed Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* Deep Long-Tailed Learning: A Survey

Survey, Low-Rank Optimization Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Robust Subspace Estimation Using Low-Rank Optimization: Theory and Applications

Survey, Machine Vision Section: Books, Collections, Overviews, General, and Surveys (H)
* Machine Vision: Theory, Algorithms, Practicalities, Third Edition

Survey, Mammograms Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
* Computer-aided detection and classification of microcalcifications in mammograms: a survey

Survey, Map Processing Section: OCR, Document Analysis and Character Recognition Systems (H)
* Survey of Digital Map Processing Techniques, A

Survey, Markov Random Fields Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Markov Random Field modeling, inference & learning in computer vision & image understanding: A survey

Survey, Matching Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* Measures for Benchmarking of Automatic Correspondence Algorithms
* Model-Based Recognition in Robot Vision
* Relational Matching
* Some Computational Strategies for Object Recognition

Survey, Matting Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Image and Video Matting: A Survey

Survey, Mean Shift Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Recent Advance on Mean Shift Tracking: A Survey
* review of mean-shift algorithms for clustering, A

Survey, Media Processing Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Event-Based Media Processing and Analysis: A Survey of the Literature

Survey, Medical Analysis Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
* Survey on Statistical Modeling and Machine Learning Approaches to Computer Assisted Medical Intervention: Intraoperative Anatomy Modeling and Optimization of Interventional Procedures, A

Survey, Medical Applications Section: Medical Applications -- Surveys (H1)
Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
* Three-Dimensional Medical Imaging: Algorithms and Computer Systems

Survey, Medical CBIR Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* overview of approaches for content-based medical image retrieval, An

Survey, Medical Image Analysis Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
Section: Medical Image Analysis, Books, Special Issues, Introductions, Special Sections, Reviews, Surveys (H2)

Survey, Medical Image Processing Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
* Techniques of medical image processing and analysis accelerated by high-performance computing: a systematic literature review

Survey, Medical Images Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
* Guide to Medical Image Analysis: Methods and Algorithms
* Medical image segmentation using deep learning: A survey

Survey, Medical Imaging Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
* Roles of Signal Processing in Medical Imaging, The

Survey, Medical Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* High-level prior-based loss functions for medical image segmentation: A survey

Survey, Mental Health Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Detecting Mental Distresses Using Social Behavior Analysis in the Context of COVID-19: A Survey

Survey, Mesh Compression * 3D Mesh Compression: Survey, Comparisons, and Emerging Trends
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Technologies for 3D mesh compression: A survey

Survey, Mesh Models * 3D mesh video retrieval: A survey
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)

Survey, Mesh Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Polygon mesh repairing: An application perspective
* survey of methods for recovering quadrics in triangle meshes, A

Survey, Metric Learning Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* Deep Metric Learning for Visual Understanding: An Overview of Recent Advances

Survey, Micro-Expressions Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Facial Micro-Expressions: An Overview

Survey, Mobile Robots Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* Vision for Mobile Robot Navigation: A Survey

Survey, Model Based Vision Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Survey of Model-Based Image Analysis Systems
* Survey of Model-Based Image Analysis Systems

Survey, Moments Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* Comprehensive Study of Continuous Orthogonal Moments: A Systematic Review
* Moments and Moment Invariants in Pattern Recognition
* Survey of Moment-Based Techniques for Unoccluded Object Representation and Recognition, A
* Survey of Orthogonal Moments for Image Representation: Theory, Implementation, and Evaluation, A

Survey, Monocular Depth Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
* Monocular Depth Estimation: a Review of the 2022 State of the Art

Survey, Morphology Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: Morphology - General, Surveys (H2)

Survey, Mosaic Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
* Image Alignment and Stitching: A Tutorial

Survey, Motion Capture Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* survey of advances in vision-based human motion capture and analysis, A
* Survey of Computer Vision-Based Human Motion Capture, A

Survey, Motion Coding Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Section: Motion Compensation, Low Bit Rate, Survey, Evaluations (H4)

Survey, Motion Detection Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
* Subspace Learning for Background Modeling: A Survey
* Survey on Moving Object Detection for Wide Area Motion Imagery, A

Survey, Motion Estimation Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
* survey on real-time motion estimation techniques for underwater robots, A

Survey, Motion History Image Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Motion History Images for Action Recognition and Understanding

Survey, Motion Magnification Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
* Seeing the Invisible: Survey of Video Motion Magnification and Small Motion Analysis

Survey, Motion Parallax Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
* survey of motion-parallax-based 3-D reconstruction algorithms, A

Survey, Motion Planning Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* Gross Motion Planning: A Survey
* Recent Trends in Task and Motion Planning for Robotics: A Survey

Survey, Motion * *CVonline: Motion, Tracking and Time Sequence Analysis
Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
Section: Optical Flow Field Computations and Use (H)
* Algorithmic issues in modeling motion
* Analysis of Visual Motion by Biological and Computer Systems
* Analysis Techniques for Image Sequences
* Computational Analysis of Time-Varying Images, A
* Computing Motion and Structure from Noisy, Time-Varying Image Velocity Information
* Derivation of Optical Flow Using a Spatiotemporal-Frequency Approach
* Dynamic Scene Analysis: A Survey
* Dynamic Vision
* Estimation of Motion from a Pair of Range Images: A Review
* Image Sequence Evaluation: 30 Years and Still Going Strong
* Invited Paper: Multiple View Vision
* Motion and Structure from Feature Correspondences: A Review
* Motion Segmentation and Estimation by Constraint Line Filtering
* Motion-Based Recognition: A Survey
* On the Computation of Motion from Sequences of Images: A Review
20 for Survey, Motion

Survey, Motion, Human Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
Section: Surveillance, Human Motion, Surveys, Reviews, Overviews, Representations (H2)
* Crowd analysis: a survey
* Digital Representations of Human Movement
* Multi Sensor Based Tracking of Pedestrians: A Survey of Suitable Movement Models

Survey, Moving Light Display Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Motion-Based Recognition: A Survey

Survey, MPEG-4 Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
* MPEG-4 Beyond Conventional Video Coding: Object Coding, Resilience, and Scalability

Survey, MPEG * *Moving Picture Experts Group
* *MPEG Industry Forum
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
* survey of MPEG-1 audio, video and semantic analysis techniques, A

Survey, MRI Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
Section: MRI, Surveys, Overviews, Evaluations (H2)
* Basics of MRI, The
* Review of brain MRI image segmentation methods

Survey, Multi-Task Learning Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* Multi-Task Learning for Dense Prediction Tasks: A Survey

Survey, Multimedia Retrieval Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* User Intent in Multimedia Search: A Survey of the State of the Art and Future Challenges

Survey, Multimedia Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
Section: Multimedia, Audio-Visual Communications, Survey (H2)
* Advances in Interactive Digital Multimedia Systems
* Computer Vision and Natural Language Processing: Recent Approaches in Multimedia and Robotics
* Feature selection in multimedia: The state-of-the-art review
* Internet visual media processing: A survey with graphics and vision applications
* Survey of Application Layer Techniques for Adaptive Streaming of Multimedia, A
* survey of media processing approaches, A
8 for Survey, Multimedia

Survey, Music Symbols Section: OCR, Document Analysis and Character Recognition Systems (H)
* Optical Recognition of Music Symbols: A Comparative Study

Survey, Music Section: OCR, Document Analysis and Character Recognition Systems (H)
* Understanding Optical Music Recognition

Survey, Nanoscale Imaging Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Computer Vision for Nanoscale Imaging

Survey, Neural Networks Section: Neural Networks: General, Survey, Special Issues (H3)
Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* Image processing with neural networks: A Review
* Neural networks for classification: a survey

Survey, Nitrogen Section: Remote Sensing General Issue, Land Use, Land Cover (H)
* Recent Development and Challenges in Spectroscopy and Machine Vision Technologies for Crop Nitrogen Diagnosis: A Review

Survey, Noise Estimation Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
* Estimation of Noise in Images: An Evaluation
* Secrets of Image Denoising cuisine

Survey, Noise Filter Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
* Survey on mixed impulse and Gaussian denoising filters

Survey, Noise Section: New Unsorted Entries, and Other Miscellaneous Papers (H)
* Active noise control: a tutorial review

Survey, Non-Rigid Shape Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* SHREC'11 Track: Shape Retrieval On Non-Rigid 3d Watertight Meshes

Survey, Nonrigid Shape Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Numerical Geometry of Non-Rigid Shapes

Survey, Nuclear Imaging Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
* Classifying functional nuclear images with convolutional neural networks: A survey

Survey, Object Class Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Object class detection: A survey

Survey, Object Detection * 3D Object Detection for Autonomous Driving: A Comprehensive Survey
* 3D Object Detection for Autonomous Driving: A Survey
Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* Deep Learning-Based Object Detection Techniques for Remote Sensing Images: A Survey
* Detection Algorithms in Hyperspectral Imaging Systems: An Overview of Practical Algorithms
* Imbalance Problems in Object Detection: A Review
* Object Detection in 20 Years: A Survey
* Object Detection in Traffic Videos: A Survey
* Object detection: From optical correlator to intelligent recognition surveillance system
11 for Survey, Object Detection

Survey, Object Recognition * 50 Years of object recognition: Directions forward
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)

Survey, Object Representation * *CVonline: Object, World and Scene Representations
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Object-based and image-based object representations
* Survey of Free-Form Object Representation and Recognition Techniques, A

Survey, Objetc Detection Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Recent Advances in 3D Object Detection in the Era of Deep Neural Networks: A Survey

Survey, OCR Products Section: OCR, Document Analysis and Character Recognition Systems (H)
* Intelligent Character Recognition

Survey, OCR * *DOCBIB
* *Handbook on Optical Character Recognition and Document Image Analysis
Section: Character Recognition Survey, Overview, Evaluations (H2)
Section: Chinese Characters, Review, Survey, Evaluations (H3)
Section: OCR, Document Analysis and Character Recognition Systems (H)
* Feature-Extraction Methods for Character-Recognition: A Survey
* Forty years of research in character and document recognition: An industrial perspective
* Methodologies in Pattern Recognition and Image Analysis: A Brief Survey
* Offline Recognition of Devanagari Script: A Survey
* Online Recognition of Chinese Characters: The State-of-the-Art
* Optical Character Recognition: A Survey
* Optical Character Recognition: A Survey
* Survey of Post-OCR Processing Approaches
* Video OCR: A Survey and Practitioner's Guide
* Zoning Methods for Hand-Written Character Recognition: An Overview
* Zoning methods for handwritten character recognition: A survey
16 for Survey, OCR

Survey, Octree Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Survey of Construction and Manipulation of Octrees, A

Survey, Ocular Biometrics Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Ocular biometrics in the visible spectrum: A survey

Survey, Open Set Recognition Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* Recent Advances in Open Set Recognition: A Survey

Survey, Optic Disc Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
* Automatic Segmentation of Optic Disc in Eye Fundus Images: A Survey

Survey, Optic Flow Section: Optical Flow Field Computations and Use (H)
* Computation of Optical-Flow, The
* Performance of Optical Flow Techniques
* Survey of Approaches for Determining Optic Flow, Environmental Layout and Egomotion, A

Survey, Optical Flow Section: Optical Flow Field Computations and Use (H)
* Optical flow and scene flow estimation: A survey
* Optical flow modeling and computation: A survey

Survey, Optical Interferometry Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
* Principles of image reconstruction in optical interferometry: tutorial

Survey, Page Segmentation Section: OCR, Document Analysis and Character Recognition Systems (H)
* Document Segmentation and Coding Techniques
* Empirical Performance Evaluation Methodology and Its Application to Page Segmentation Algorithms
* Page Segmentation and Classification
* Performance Evaluation and Benchmarking of Six-Page Segmentation Algorithms

Survey, Pain Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Automatic Detection of Pain from Facial Expressions: A Survey

Survey, Palmprint Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Feature Extraction Methods for Palmprint Recognition: A Survey and Evaluation

Survey, Pan-Sharpening Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* Comparison of Pansharpening Algorithms: Outcome of the 2006 GRS-S Data-Fusion Contest

Survey, Panoramic Sensors Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* Development of Low-Cost Compact Omnidirectional Vision Sensors

Survey, Pansharpening Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* Comparison of Nine Fusion Techniques for Very High Resolution Data

Survey, Parallel Processing Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Algorithm/Architecture Co-Exploration of Visual Computing on Emergent Platforms: Overview and Future Prospects

Survey, Particle Filters Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* tutorial on particle filters for on-line non-linear/non-Gaussian Bayesian tracking, A

Survey, Pathology Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Image computing for digital pathology

Survey, Pattern Recognition * *Handbook of Pattern Recognition and Computer Vision, Fourth Edition
* *Handbook of Pattern Recognition and Computer Vision, Third Edition
Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: Books, Collections, Overviews, General, and Surveys (H)
Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
Section: Pattern Recognition, General and Survey Articles (H2)
* Algebraic, topological and categorical aspects of pattern recognition: A survey
* Applied Pattern Recognition
* Data clustering: A review
* Glossary and Index to Remotely Sensed Image Pattern Recognition Concepts
* Interactive Pattern Analysis and Classification Systems: A Survey and Commentary
* Introduction to Statistical Pattern Recognition
* Learning-Pattern Classification: A Survey
* On Pattern Classification Algorithms: Introduction and Survey
* Pattern Classification
* Pattern Recognition and Modern Computers
* Pattern recognition: Historical perspective and future directions
* Some general remarks about pattern recognition; its definition; its relation with other disciplines; a literature survey
18 for Survey, Pattern Recognition

Survey, Pavement Analysis Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Review of Three-Dimensional Imaging Technologies for Pavement Distress Detection and Measurements, A

Survey, PCA Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
Section: Surveys, Comparisons, Evaluations, Principal Components (H3)
* Principal Component Analysis

Survey, PDE Section: Books, Collections, Overviews, General, and Surveys (H)
* Mathematical Problems in Image Processing Partial Differential Equations and the Calculus of Variations

Survey, Pedestrain Detection Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Review of pedestrian detection techniques in automotive far-infrared video

Survey, Pedestrian Detection Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
Section: Surveys, Evaluation, Datasets, Human Detection, People Detection, Pedestrians (H4)
* Autonomous Vehicles That Interact With Pedestrians: A Survey of Theory and Practice
* Backgroundless detection of pedestrians in cluttered conditions based on monocular images: a review
* Deep learning for occluded and multi-scale pedestrian detection: A review
* Monocular Pedestrian Detection: Survey and Experiments
* Pedestrian Protection Systems: Issues, Survey, and Challenges
* Survey of Pedestrian Detection for Advanced Driver Assistance Systems
* Towards Reaching Human Performance in Pedestrian Detection
9 for Survey, Pedestrian Detection

Survey, Pedestrian Tracking Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Survey of Multiple Pedestrian Tracking Based on Tracking-by-Detection Framework, A

Survey, Performance Evaluation Section: Books, Collections, Overviews, General, and Surveys (H)
* Performance characterization in computer vision: A guide to best practices

Survey, Periocular Biometrics Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Periocular biometrics and its relevance to partially masked faces: A survey
* survey on periocular biometrics research, A

Survey, Permafrost Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
* Bibliometric Analysis of the Permafrost Research: Developments, Impacts, and Trends

Survey, Persistent Scatterer Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* Persistent Scatterer Interferometry: A review

Survey, PET Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
* Overview of methods for image reconstruction from projections in emission computed tomography

Survey, Photogrammetry Section: Photogrammetry, Books on Photogrammetry (H1)
Section: Remote Sensing General Issue, Land Use, Land Cover (H)
* Introduction to Modern Photogrammetry

Survey, Photometric Stereo * *CVOnline: Photometric Stereo
Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
* Survey of Photometric Stereo Techniques, A

Survey, Photoplethysmography Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
* Camera Measurement of Physiological Vital Signs

Survey, Plant Disease Section: Remote Sensing General Issue, Land Use, Land Cover (H)
* Review of Advanced Technologies and Development for Hyperspectral-Based Plant Disease Detection in the Past Three Decades, A

Survey, Player Tracking Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* survey on player tracking in soccer videos, A

Survey, Point Cloud Fusion Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* Survey on Image and Point-Cloud Fusion-Based Object Detection in Autonomous Vehicles

Survey, Polygonization Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Survey on Implicit Surface Polygonization, A

Survey, Pose Estimation Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Deep Learning-Based Human Pose Estimation: A Survey

Survey, Post Processing Section: OCR, Document Analysis and Character Recognition Systems (H)
* Survey of Post-OCR Processing Approaches

Survey, Precipitation Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
* New Approach to Precipitation Monitoring: A critical survey of existing technologies and challenges, A
* Studies of General Precipitation Features with TRMM PR Data: An Extensive Overview

Survey, Pricnipal Components Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
Section: Surveys, Comparisons, Evaluations, Principal Components (H3)

Survey, Privacy Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Presentation-Level Privacy Protection Techniques for Automated Face Recognition: A Survey

Survey, Progressive Transmission Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
* Survey of progressive image transmission methods

Survey, Projective Geometry Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Multiple View Geometry

Survey, Psychological Process Section: Books, Collections, Overviews, General, and Surveys (H)
* Review of psychological processes in pattern recognition

Survey, Quadtree Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Quadtree and Related Hierarchical Data Structures, The

Survey, Quality Control Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Survey of Methods for Automated Quality Control Based on Images, A

Survey, Radar ATR Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
* Radar Target Characterization and Deep Learning in Radar Automatic Target Recognition: A Review

Survey, Radar Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* Digital Equalisation in Adaptive Spatial Filtering for Radar Systems: A Survey
* survey on ISAR autofocusing techniques, A

Survey, Radiographic Images Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
* Processing of X-Ray Images
* Survey of Preprocessing and Feature Extraction Techniques for Radiographic Images, A

Survey, Radiography Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
* Computer-aided diagnosis in chest radiography: a survey

Survey, Rail Inspection Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* Riding the Rails

Survey, Random Forests Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* Random forest in remote sensing: A review of applications and future directions

Survey, Range Registration Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* Qualitative Review on 3D Coarse Registration Methods, A
* review of recent range image registration methods with accuracy evaluation, A

Survey, Range Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* Perspective on Range Finding Techniques for Computer Vision, A

Survey, Ray Tracing Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Toward Real-Time Ray Tracing: A Survey on Hardware Acceleration and Microarchitecture Techniques

Survey, Re-Identification Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Deep Learning for Person Re-Identification: A Survey and Outlook
* Deep learning-based person re-identification methods: A survey and outlook of recent works
* Gait-based Person Re-identification: A Survey
* Learning deep features for online person tracking using non-overlapping cameras: A survey
* Person re-identification: A retrospective on domain specific open challenges and future trends
* Person re-identification: A taxonomic survey and the path ahead
* Person search: New paradigm of person re-identification: A survey and outlook of recent works
* Review of person re-identification techniques
* SSS-PR: A short survey of surveys in person re-identification
* survey of approaches and trends in person re-identification, A
* Survey of Open-World Person Re-Identification, A
12 for Survey, Re-Identification

Survey, Recognition * *CVonline: Recognition and Registration Methods
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* Model-Based Object Recognition in Dense Range Images
* Model-Based Object Recognition: A Survey of Recent Research
* Object Recognition: A Survey of the Literature

Survey, Recommender Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Survey on Adversarial Recommender Systems: From Attack/Defense Strategies to Generative Adversarial Networks, A

Survey, Reconstruction Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Surveys, Overviews, Evaluations and Analysis of 3-D Reconstructions (H2)
* Three-dimensional model construction from multiview range images: Survey with new results

Survey, Rectification Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
* Wide-Angle Image Rectification: A Survey

Survey, Registration * *CVonline: Recognition and Registration Methods
* *CVonline: Sensor Fusion, Registration and Planning
Section: Image Registration -- Overview, Survey, Review, Evaluation, Comparison (H3)
Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* Brain Functional Localization: A Survey of Image Registration Techniques
* Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge
* Image Registration Methods: A Survey
* Image Registration: Principles, Tools and Methods
* Mutual-information-based registration of medical images: a survey
* Remote Sensing Image Registration Techniques: A Survey
* survey of hierarchical non-linear medical image registration, A
* Survey of Image Registration Techniques, A
* Survey of Medical Image Registration on Multicore and the GPU, A
* Survey of Medical Image Registration, A
15 for Survey, Registration

Survey, Relaxation Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Algorithms for Constraint-Satisfaction Problems: A Survey
* Cooperating Processes for Low-Level Vision: A Survey
* Iterative Methods in Image Analysis
* Relaxation Labelling Algorithms: A Review

Survey, Remote Sensing Section: Remote Sensing General Issue, Land Use, Land Cover (H)
* Remote Sensing from Space: Supporting International Peace and Security
* Remote Sensing of Riparian Ecosystems

Survey, Rendering Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Morphological Pyramids in Multiresolution MIP Rendering of Large Volume Data: Survey and New Results

Survey, Representation Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Analysis of Geometric Modeling in Database Systems, An
* Fundamentals of Three-dimensional Digital Image Processing
* Machine Recognition as representation and search: A Survey
* Representations for Rigid Solids: Theory, Methods and Systems
* Representing 3D Structures for Visual Recognition
* Signal-to-Symbol Transformation and Vice-Versa: From Fundamental Processes to Representation
* Survey of the Representation and Design of Surfaces, A
* Survey: Representation Methods in Three-Dimensional Objects
* Three-Dimensional Object Recognition
10 for Survey, Representation

Survey, Reranking Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Multimedia search reranking: A literature survey

Survey, Restoration Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Section: Image Restoration -- General, Survey, Evaluations (H2)
* Survey of recent developments in digital image restoration

Survey, Retail Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Improving retail efficiency through sensing technologies: A survey

Survey, Retinal Imaging Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
* Image, eye, and retina

Survey, Retrieval Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
Section: OCR, Document Analysis and Character Recognition Systems (H)
* ImageCLEF: Experimental Evaluation in Visual Information Retrieval
* Indexing and Retrieval of Document Images: A Survey, The
* Survey on Visual Content-Based Video Indexing and Retrieval, A

Survey, Reversible Data Hiding Section: OCR, Document Analysis and Character Recognition Systems (H)
* survey of reversible data hiding in encrypted images: The first 12 years, A

Survey, Road Detection Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* Passive Vision Region-Based Road Detection: A Literature Review
* Recent progress in road and lane detection: a survey

Survey, Roads * *CVonline: Road Extraction from Aerial Imagery
Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
* Review on Active and Passive Remote Sensing Techniques for Road Extraction

Survey, Robot Vision Section: Books, Collections, Overviews, General, and Surveys (H)
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Model-Based Recognition in Robot Vision
* Robot Vision

Survey, Robotics Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Mechatronics and Machine Vision in Practice

Survey, ROC Analysis Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* introduction to ROC analysis, An

Survey, Rough Sets Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Rough sets

Survey, SAR Interferometry Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* Review of Ten-Year Advances of Multi-Baseline SAR Interferometry Using TerraSAR-X Data, A

Survey, SAR Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* Radar Remote Sensing of Urban Areas
* Synthetic Aperture Radar Imaging

Survey, Scale-Space Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* On Detection and Representation of Multiscale Low-Level Image Structure
* Scale-Space
* Scale-Space Theory in Computer Vision

Survey, Scale Space Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* Higher order differential structure of images

Survey, Scanners Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* New Trends in Digital Scanning Processes

Survey, Scanning Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* Optical Scanning Digitizers

Survey, Scene Recognition Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Scene recognition: A comprehensive survey

Survey, Scene Text Section: OCR, Document Analysis and Character Recognition Systems (H)
* Scene text detection and recognition with advances in deep learning: A survey
* survey on camera-captured scene text detection and extraction: towards Gurmukhi script, A
* Text Detection, Tracking and Recognition in Video: A Comprehensive Survey
* Text Recognition in the Wild: A Survey

Survey, Script Recognition Section: OCR, Document Analysis and Character Recognition Systems (H)
* Script Recognition: A Review

Survey, Script Section: OCR, Document Analysis and Character Recognition Systems (H)
* Script identification algorithms: a survey

Survey, Segmentation Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
Section: Segmentation, Survey and General Topics (H1)
Section: Texture Segmentation, Surveys, Review and General (H2)
* Comparison of Some Segmentation Algorithms for Cytology, A
* Comprehensive Review of Modern Object Segmentation Approaches, A
* Computational Techniques in the Visual Segmentation of Static Scenes
* Computer Vision, Pattern Recognition and Image Processing in Left Ventricle Segmentation: The Last 50 Years
* Form representions and means for landmarks: A survey and comparative study
* High-level prior-based loss functions for medical image segmentation: A survey
* Image Segmentation
* Image Segmentation by Conventional and Information-Integrating Techniques: A Synopsis
* Image segmentation evaluation: A survey of unsupervised methods
* Image Segmentation Techniques
* Overview of Interactive Medical Image Segmentation, An
* Region Growing: Childhood and Adolescence
* Review of Enhancement and Segmentation Techniques for Digital Images, A
* Review on Image Segmentation Techniques, A
* Survey and comparative analysis of entropy and relative entropy thresholding techniques
* Survey and Evaluation of FLIR Target Detection/Segmentation Algorithms, A
* survey of graph theoretical approaches to image segmentation, A
* Survey of Threshold Selection Techniques, A
* Survey of Thresholding Techniques, A
* survey on curvilinear object segmentation in multiple applications, A
* Survey on Evaluation Methods for Image Segmentation, A
* survey on Image Segmentation, A
* Yet Another Survey on Image Segmentation: Region and Boundary Information Integration
27 for Survey, Segmentation

Survey, Self-Supervised Learning Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Self-Supervised Learning for Videos: A Survey

Survey, Self Calibration Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* survey of camera self-calibration, A

Survey, Semantic Segmentation Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* Deep multimodal fusion for semantic image segmentation: A survey
* review of semantic segmentation using deep neural networks, A
* Semantic Image Segmentation: Two Decades of Research

Survey, Sensor Fusion Section: Image and Sensor Fusion -- Review and Survey Articles, Evaluations (H3)
Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* Data fusion
* Multimodal Classification of Remote Sensing Images: A Review and Future Directions
* Synthesis of Multispectral Images to High Spatial Resolution: A Critical Review of Fusion Methods Based on Remote Sensing Physics

Survey, Sensor Networks Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Coverage problems in sensor networks: A survey
* Systematic Review of Shared Sensor Networks, A

Survey, Sensor Planning Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Active recognition through next view planning: a survey
* Survey and analysis of multimodal sensor planning and integration for wide area surveillance
* Survey of Sensor Planning in Computer Vision, A

Survey, Sensors * *CVonline: Sensors and their Properties
Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: Remote Sensing General Issue, Land Use, Land Cover (H)
* Ray geometry in non-pinhole cameras: A survey
* Remote sensing platforms and sensors: A survey
* Technologies for Photonic Sensor Systems

Survey, Sentiment Analysis Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Deep Learning in Sentiment Analysis: Recent Architectures
* Emotion Ontology Studies: A Framework for Expressing Feelings Digitally and Its Application to Sentiment Analysis
* Issues and Challenges of Aspect-based Sentiment Analysis: A Comprehensive Survey

Survey, Sentiment Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Multimodal Sentiment Analysis: A Survey of Methods, Trends, and Challenges

Survey, Shadow Detection Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* Detecting moving shadows: algorithms and evaluation
* Shadow detection: A survey and comparative evaluation of recent methods

Survey, Shape Analysis * *Shape Analysis and Structuring
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)

Survey, Shape Description Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Survey of Algorithmic Shapes, A

Survey, Shape from Motion Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
* Visual SLAM and Structure from Motion in Dynamic Environments: A Survey

Survey, Shape from Shading Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
* Normal Integration: A Survey
* Numerical methods for shape-from-shading: A new survey with benchmarks
* Shape from Shading: A Survey

Survey, Shape Matching Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* Evaluating Shape Correspondence for Statistical Shape Analysis: A Benchmark Study

Survey, Shape Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Shape Computation Surveys, Comparisons (H3)
* Algorithms for Shape Analysis of Contours and Waveforms
* Review of Algorithms for Shape Analysis, A
* Survey of Shape Analysis Techniques, A

Survey, Shot Detection Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Reliable Transition Detection in Videos: A Survey And Practitioner's Guide

Survey, Signature Section: OCR, Document Analysis and Character Recognition Systems (H)
Section: Signature Recognition, Surveys, Analysis, Comparisons (H4)
* Automatic Signature Verification and Writer Identification: The State of the Art

Survey, Signatures Section: OCR, Document Analysis and Character Recognition Systems (H)
* Automatic Signature Verification: The State of the Art
* Perspective Analysis of Handwritten Signature Technology, A

Survey, Skeletonization Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* survey on skeletonization algorithms and their applications, A

Survey, Sketch-Based Retrieval Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* survey of sketch-based image retrieval, A

Survey, Sketch Recognition Section: OCR, Document Analysis and Character Recognition Systems (H)
* survey on freehand sketch recognition and retrieval, A

Survey, Small Object Detection Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Towards Large-Scale Small Object Detection: Survey and Benchmarks

Survey, Smart City Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
* Smart City System Design: A Comprehensive Study of the Application and Data Planes
* Systematic Review for Smart City Data Analytics, A

Survey, Smart Home Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Multioccupant Activity Recognition in Pervasive Smart Home Environments
* Smart Home Personal Assistants: A Security and Privacy Review

Survey, Smart Homes Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Secure Smart Homes: Opportunities and Challenges
* Survey on Smart Homes for Aging in Place: Toward Solutions to the Specific Needs of the Elderly, A

Survey, Smell Section: New Unsorted Entries, and Other Miscellaneous Papers (H)
* Tutorial for Olfaction-Based Multisensorial Media Application Design and Evaluation, A

Survey, Snakes Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* comparative study of deformable contour methods on medical image segmentation, A

Survey, Software Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Vlogging: A survey of videoblogging technology on the web

Survey, Solar Images Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Feature Recognition in Solar Images

Survey, Source Separation Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
* Survey of sparse and non-sparse methods in source separation

Survey, Spatial Reasoning Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Challenge of Qualitative Spatial Reasoning, The

Survey, Speaker Recognition Section: New Unsorted Entries, and Other Miscellaneous Papers (H)
* Speaker Recognition by Machines and Humans: A tutorial review

Survey, Speech Recognition Section: New Unsorted Entries, and Other Miscellaneous Papers (H)
* Historical Perspective of Speech Recognition, A
* Large-Vocabulary Continuous Speech Recognition Systems: A Look at Some Recent Advances
* TechWare: Speaker and Spoken Language Recognition Resources

Survey, Speech Section: New Unsorted Entries, and Other Miscellaneous Papers (H)
* POMDP-Based Statistical Spoken Dialog Systems: A Review

Survey, Splines Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* Bézier and Splines in Image Processing and Machine Vision

Survey, Spoofing Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Presentation Attack Detection Methods for Face Recognition Systems: A Comprehensive Survey

Survey, Sports Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Spatio-Temporal Analysis of Team Sports

Survey, Stabilization Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
* Survey on Digital Video Stabilization: Concepts, Methods, and Challenges

Survey, Steganalysis Section: OCR, Document Analysis and Character Recognition Systems (H)
* Deep learning for real-time image steganalysis: a survey

Survey, Steganography Section: OCR, Document Analysis and Character Recognition Systems (H)
Section: Surveys, Image Hiding, Data Hiding, Steganography (H3)
* Exploring Steganography: Seeing the Unseen
* Information hiding: A survey
* survey paper on secret image sharing schemes, A
* Trends in Steganography

Survey, Stereo Display Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
* Interactive 3-D Video Representation and Coding Technologies

Survey, Stereo Displays Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
Section: Surveys, Overviews, General Discussion, Evaluations, Three Dimensional Displays (H2)
* Methods for reducing visual discomfort in stereoscopic 3D: A review

Survey, Stereo Matching Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
* Evaluation of Stereo Matching Costs on Images with Radiometric Differences

Survey, Stereo * *CVOnline: Multi-Sensor, Multi-View Geometries
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
* Advances in Computational Stereo
* Computational Stereo
* Depth Perception for Robots
* Middlebury stereo vision page
* Review of stereo vision algorithms and their suitability for resource-limited systems
* Survey on Deep Learning Techniques for Stereo-Based Depth Estimation, A
* View Synthesis Using Stereo Vision
10 for Survey, Stereo

Survey, Stereo, Multi-View Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
* Multi-View Stereo: A Tutorial

Survey, Streaming Video Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
* Watching Video over the Web Part 2: Applications, Standardization, and Open Issues

Survey, Streaming Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
* Deep Neural Network–Based Enhancement for Image and Video Streaming Systems: A Survey and Future Directions

Survey, String Matching Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Approximate String Matching
* exact online string matching problem: A review of the most recent results, The
* guided tour to approximate string matching, A

Survey, Structure from Motion Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
* Guide to Three Dimensional Structure and Motion Factorization

Survey, Structured Light Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
* Recent Progress in Coded Structured Light as a Technique to Solve the Correspondence Problem: A Survey
* Scanning Sensors

Survey, Subband * *Subband Image Coding
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)

Survey, Summarization Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Video Summarization Overview
* Video Summarization Using Deep Neural Networks: A Survey

Survey, Super-Resolution Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
* Blind Image Super-Resolution: A Survey and Beyond
* Deep Journey into Super-Resolution: A Survey, A
* Guided Depth Map Super-Resolution: A Survey
* Hitchhiker's Guide to Super-Resolution: Introduction and Recent Advances
* Super-Resolution Imaging
* Super-resolution: a comprehensive survey
* Survey of single image super-resolution reconstruction
* survey on super-resolution imaging, A
9 for Survey, Super-Resolution

Survey, Super Resolution Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
Section: Super Resolution, Survey, Evaluation, Overviews (H3)
* Deep Learning for Image Super-Resolution: A Survey
* Image super-resolution survey
* Iterative-Interpolation Super-Resolution Image Reconstruction: A Computationally Efficient Techniqu
* On Missing Data Treatment for Degraded Video and Film Archives: A Survey and a New Bayesian Approach
* Super Resolution of Images and Video
7 for Survey, Super Resolution

Survey, Superpixel Segmentation Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* Superpixel segmentation: A benchmark

Survey, Superpixels Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* Superpixels: An evaluation of the state-of-the-art

Survey, Support Vector Machines Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* Support Vector Machines for Pattern Classification
* Support vector machines in remote sensing: A review

Survey, Surface Reconstruction Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Deep-Learning-Based 3-D Surface Reconstruction: A Survey
* On Surface Reconstruction Using Sparse Depth Data
* On Three-Dimensional Surface Reconstruction Methods

Survey, Surface Reconstrutcion * *CVonline: Occlusion Understanding and Recovery
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)

Survey, Surveillance Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
Section: Surveillance, Human Motion, Surveys, Reviews, Overviews, Representations (H2)
* Survey on Contemporary Remote Surveillance Systems for Public Safety
* Survey on Visual Surveillance of Object Motion and Behaviors, A
* Video Surveillance: Past, Present, and Now the Future
* Video-Based Surveillance Systems: Computer Vision and Distributed Processing

Survey, SVD Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Higher-Order Singular Value Decomposition: Theory and an Application, The

Survey, SVM Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
Section: Support Vector Machines, SVM, Surveys, Reviews, General (H3)
* Introduction to Support Vector Machines, An
* Support Vector Machines and Kernel Methods: The New Generation of Learning Machines

Survey, Syntactic Techniques Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* Syntactic Pattern Recognition in Computer Vision: A Systematic Review

Survey, Systems * *CVonline: Hardware, DSP, Parallel and Other Non-Standard Processing Platforms
* *CVonline: Visual Processing Software and Environments
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
Section: Parallel and Multi-Processor Algorithms, General, Survey (H2)
* Image Understanding Environments
* Parallel Computer Architectures for Image Processing
* Survey of Array Processors
7 for Survey, Systems

Survey, Tamper Detection Section: OCR, Document Analysis and Character Recognition Systems (H)
* Perceptual hashing for image authentication: A survey

Survey, Target Tracking Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
Section: Target Tracking Techniques, Performance Evaluation, Comparison, Benchmarks, Datasets, Survey (H3)
* Combinatorial Problems in Multitarget Tracking: A Comprehensive Survey
* Interacting Multiple Model Methods in Target Tracking: A Survey
* Neural-Network-Based Target Tracking State-of-the-Art Survey
* Object tracking: A survey

Survey, Teleoperation Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Application of Adaptive Controllers in Teleoperation Systems: A Survey

Survey, Template Matching Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* Template Matching Techniques in Computer Vision: Theory and Practice

Survey, Tensor Voting Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* Tensor Voting: A Perceptual Organization Approach to Computer Vision and Machine Learning

Survey, Terrain Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Section: DEM, DSM, DTM, Evaluations, Valdiation, Surveys, Overviews (H2)

Survey, TerraSAR-X Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* Ten Years of TerraSAR-X: Scientific Results

Survey, Text Detection Section: OCR, Document Analysis and Character Recognition Systems (H)
* Text Detection and Recognition in Imagery: A Survey

Survey, Text Extraction Section: OCR, Document Analysis and Character Recognition Systems (H)
* Text information extraction in images and video: a survey
* Text line segmentation of historical documents: a survey

Survey, Texture Datasets Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Texture databases: A comprehensive survey

Survey, Texture Synthesis Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Review on Recent Patents in Texture Synthesis

Survey, Texture Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
Section: Texture Segmentation, Surveys, Review and General (H2)
* Bidirectional Texture Function Modeling: A State of the Art Survey
* Computer Analysis of Visual Textures
* Handbook of Texture Analysis
* Image Models
* Review of Recent Texture Segmentation and Feature Extraction Techniques, A
* Statistical and Structural Approaches to Texture
* Texture Analysis Anno 1983
* Texture Analysis: A Survey
11 for Survey, Texture

Survey, Thinning Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Thinning Methodologies: A Comprehensive Survey

Survey, Thorax Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
* Machine Learning in Computer-Aided Diagnosis of the Thorax and Colon in CT: A Survey

Survey, Threshold Selection Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* Survey of Threshold Selection Techniques, A
* Survey of Thresholding Techniques, A

Survey, Tomography Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
Section: Tomographic Images, CAT, CT, Overviews, Surveys, Datasets (H2)
* Advances in Discrete Tomography and Its Applications
* Computer Analysis of Computed Tomography Scans of the Lung: A Survey
* Discrete tomography in medical imaging
* Principles of Computerized Tomographic Imaging
* Representation of Three-Dimensional Digital Images
* X-Ray Computed Tomography in Biomedical Engineering
9 for Survey, Tomography

Survey, Tone Mapping Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
* Real-Time Tone Mapping: A Survey and Cross-Implementation Hardware Benchmark
* Which tone-mapping operator is the best? A comparative study of perceptual quality

Survey, Tracking * *CVonline: Motion, Tracking and Time Sequence Analysis
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Handcrafted and Deep Trackers: Recent Visual Object Tracking Approaches and Trends
* Monocular Model-Based 3D Tracking of Rigid Objects: A Survey
* Multiple object tracking: A literature review
* Review of Statistical Data Association Techniques for Motion Correspondence, A
* survey of datasets for visual tracking, A
* Target Tracking for Sensor Networks: A Survey
* Vision Based Target Tracking for Autonomous Land Vehicle Navigation: A Brief Survey
9 for Survey, Tracking

Survey, Traffic Analysis Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Review of Computer Vision Techniques for the Analysis of Urban Traffic, A

Survey, Traffic Signals Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Computational Intelligence in Urban Traffic Signal Control: A Survey

Survey, Traffic Signs Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* overview of traffic sign detection and classification methods, An

Survey, Traffic Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Machine Vision Gets Moving: Part III
* Recent advances in traffic optimisation: systematic literature review of modern models, methods and algorithms
* survey of video processing techniques for traffic applications, A
* Survey of Vision-Based Traffic Monitoring of Road Intersections, A

Survey, Trajectory Analysis Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Semantic trajectories modeling and analysis
* Survey of Vision-Based Trajectory Learning and Analysis for Surveillance, A
* Survey on Trajectory Data Management, Analytics, and Learning, A

Survey, Transcoding Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
* Digital Video Transcoding

Survey, Transfer Learning Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* Comprehensive Survey on Transfer Learning, A
* Recent Advances in Transfer Learning for Cross-Dataset Visual Recognition: A Problem-Oriented Perspective
* Transfer Learning in Deep Reinforcement Learning: A Survey

Survey, Transforms * *CVonline: Image Transformations and Filters
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)

Survey, Transmission Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Section: Transmission Issues, Special Issues, Surveys (H3)

Survey, Transportation Systems Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Data-Driven Intelligent Transportation Systems: A Survey

Survey, Tree Edit Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* survey on tree edit distance and related problems, A

Survey, Triangulation Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
* Delaunay Triangulation Based Surface Reconstruction: A short survey
* survey of methods for recovering quadrics in triangle meshes, A
* Tools for Triangulations and Tetrahedrizations and Constructing Functions defined over Them

Survey, UAV Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* Unmanned Drones are Flying High in the Military/Aerospace Sector

Survey, Ultrasound Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
* Automatic breast ultrasound image segmentation: A survey
* Ultrasound Image Segmentation: A Survey
* Ultrasound Medical Imaging Techniques: A Survey

Survey, Uncertainty Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Imprecision in Computer Vision

Survey, Underwater Images Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* Diving deeper into underwater image enhancement: A survey

Survey, Underwater Vision Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* Survey on Underwater Computer Vision, A

Survey, UXO Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
* Unexploded Ordnance Detection and Mitigation

Survey, VANET Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Mobility Trace Analysis for Intelligent Vehicular Networks: Methods, Models, and Applications
* Survey of Interoperability Challenges in the Internet of Vehicles

Survey, VANETS Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Cooperative Vehicular Networking: A Survey

Survey, Vector Quantization Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Section: Vector Quantization Survey and General (H3)
* Vector Quantization of Image Subbands: A Survey

Survey, Vectorication Section: Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
* Vectorization in Graphics Recognition: To Thin or Not to Thin

Survey, Vectorization Section: Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
* Survey of Vectorization Methods in Topological Data Analysis, A

Survey, Vehicle Classification Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Vehicle classification framework: a comparative study

Survey, Vehicle Detection Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Automated Vehicle Detection and Classification: Models, Methods, and Techniques
* Vehicle detection in intelligent transportation systems and its applications under varying environments: A review

Survey, Vehicle Guidance Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* Automatic Vehicle Guidance: The Experinces of the ARGO Autonomous Vehicle

Survey, Vehicle Networks Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Intra-Vehicle Networks: A Review
* Mobile IP Handover for Vehicular Networks: Methods, Models, and Classifications
* Vehicular Networks: A New Challenge for Content-Delivery-Based Applications

Survey, Vehicle Re-Identification Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* survey of advances in vision-based vehicle re-identification, A

Survey, Video Analysis Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Automatic Video Classification: A Survey of the Literature

Survey, Video Coding Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Section: Motion Coding, Video Coding, Evaluations, Surveys (H2)
* Developments in Model-Based Video Coding
* Distributed Video Coding: Trends and Perspectives
* Motion Estimation in Video Coding: A Systematic Review, Classification and Evaluation
* Reconfigurable Video Coding Standard, The
* VLSI Architectures for Video Compression: A Survey
7 for Survey, Video Coding

Survey, Video Compression Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
* Handbook of Data Compression

Survey, Video Conference Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Smart meeting systems: A survey of state-of-the-art and open issues

Survey, Video Copy Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* review on robust video copy detection, A

Survey, Video Database Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Survey on Visual Content-Based Video Indexing and Retrieval, A

Survey, Video Duplicates Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* Near-duplicate video retrieval: Current research and future trends

Survey, Video Forensics Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Vision of the unseen: Current trends and challenges in digital image and video forensics

Survey, Video Generation Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* AI-Empowered Persuasive Video Generation: A Survey

Survey, Video Indexing Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Survey on the Automatic Indexing of Video Data, A
* Temporal video segmentation: A survey

Survey, Video Interaction Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Video Interaction Tools: A Survey of Recent Work

Survey, Video Mining Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Video Search and Mining

Survey, Video on Demand Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* review of fully interactive video on demand, A

Survey, Video Parsing Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Survey of Technologies for Parsing and Indexing Digital Video, A

Survey, Video Prediction Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Review on Deep Learning Techniques for Video Prediction, A

Survey, Video Quality Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
* Perceptual-based quality assessment for audio-visual services: A survey

Survey, Video Servers Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Accounting and Accountability in Content Distribution Architectures: A Survey
* Internet Multicast Video Delivery

Survey, Video Skimming Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Video Skimming: Taxonomy and Comprehensive Survey

Survey, Video Steganography Section: OCR, Document Analysis and Character Recognition Systems (H)
* comprehensive review of video steganalysis, A

Survey, Video Streaming Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Video in the Web: Technical Challenges and Standardization

Survey, Video Summarization Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Video summarisation: A conceptual framework and survey of the state of the art

Survey, Video Super-Resolution Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
* Deep Learning for Image/Video Restoration and Super-Resolution

Survey, Video Synopsis Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Video synopsis: A survey

Survey, Video Transformers Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* Video Transformers: A Survey

Survey, Video Transmission Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
* Joint Source-Channel Video Transmission

Survey, Video Understanding Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Self-Supervised Learning for Videos: A Survey

Survey, Video Watermarks Section: OCR, Document Analysis and Character Recognition Systems (H)
* Overview of Digital Video Watermarking, An

Survey, View Planning Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* View planning for automated three-dimensional object reconstruction and inspection

Survey, Violence Detection Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Challenges and Methods of Violence Detection in Surveillance Video: A Survey
* Comprehensive Review on Vision-Based Violence Detection in Surveillance Videos, A

Survey, Virtual Reality * 10 Scientific Problems in Virtual Reality
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Making virtual reality more accessible
* Stepping into Virtual Reality
* Survey of state melding in virtual worlds

Survey, Vision Transformer Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* Dual Vision Transformer
* Survey on Vision Transformer, A

Survey, Visual Assistance Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* Computer vision-based object recognition for the visually impaired in an indoors environment: a survey

Survey, Visual Function Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Visual Affordance and Function Understanding: A Survey

Survey, Visual Odometry Section: Optical Flow Field Computations and Use (H)
* review of monocular visual odometry, A

Survey, Visual Quality Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
* Survey of information theory in visual quality assessment

Survey, Visual Question Answering Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Visual question answering: A survey of methods and datasets
* Visual Question Answering: A Tutorial

Survey, Visual Speech Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* review of recent advances in visual speech decoding, A

Survey, Visualization Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
* Visualization of Digital Terrain and Landscape Data: A Manual

Survey, Voronoi Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Voronoi Diagrams: A Survey of a Fundamental Geometric Data Structure

Survey, Water Quality Section: Remote Sensing General Issue, Land Use, Land Cover (H)
* Review of Remote Sensing for Water Quality Retrieval: Progress and Challenges, A

Survey, Watermark Section: OCR, Document Analysis and Character Recognition Systems (H)
Section: Surveys, Image Hiding, Data Hiding, Steganography (H3)
Section: Watermarks, Survey, Comparisons, Evaluations (H2)
* Intelligent Watermarking Techniques
* Survey of Watermarking Algorithms for Image Authentication, A

Survey, Watermarking Section: OCR, Document Analysis and Character Recognition Systems (H)
* Comprehensive Survey on Three-Dimensional Mesh Watermarking, A

Survey, Watermarks Section: OCR, Document Analysis and Character Recognition Systems (H)
* Contribution of neural networks in image steganography, watermarking and encryption
* Invisibility and application functionalities in perceptual watermarking an overview
* survey of RST invariant image watermarking algorithms, A

Survey, Wavelets Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: Wavelets, Surveys, Reviews, Overviews, Evaluations, General (H3)
* Architectures for Wavelet Transforms: A Survey
* Image Compression Using Coding of Wavelet Coefficients: A Survey

Survey, Wetlands Section: Remote Sensing General Issue, Land Use, Land Cover (H)
* Long-Term Wetland Monitoring Using the Landsat Archive: A Review

Survey, Wind Measurement Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
* Ocean Wind and Wave Measurements Using X-Band Marine Radar: A Comprehensive Review

Survey, Word Spotting Section: OCR, Document Analysis and Character Recognition Systems (H)
* survey of document image word spotting techniques, A
* Survey on handwritten documents word spotting, A

Survey, Zero-Shot Learning Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* Review of Generalized Zero-Shot Learning Methods, A
* Zero-Shot and Few-Shot Learning With Knowledge Graphs: A Comprehensive Survey

Survival Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
Section: Survival Analysis, Cancer Survival (H2)

Susceptibility Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Section: Landslide Susceptibility, Landslide Risk Analysis, Hazards (H4)

Suspended Matter Section: Remote Sensing General Issue, Land Use, Land Cover (H)
Section: Suspended Particulates, Suspended Matter, Water Quality (H3)

Suspended Particulates Section: Remote Sensing General Issue, Land Use, Land Cover (H)
Section: Suspended Particulates, Suspended Matter, Water Quality (H3)

Suspended Sediments Section: Remote Sensing General Issue, Land Use, Land Cover (H)
Section: Sediment, Suspended Sediment, Silt, Water Quality (H3)

Sustainable Development Section: Remote Sensing General Issue, Land Use, Land Cover (H)
Section: Sustainable Development, Goals, Techniques, SDG (H2)

SVC Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Section: Rate-Distortion Tradeoff Issues, Scalable Video Coding, SVC (H4)
Section: Scalable Video Coding, SVC, Extensions AVC/H.264 (H4)

SVD Computation Section: Computation and Analysis of Principal Components, Eigen Values, SVD (H3)
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)

SVD Definition:* Singular Value Decomposition.
Section: Computation and Analysis of Principal Components, Eigen Values, SVD (H3)
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
Section: Matrix Factorization Approach to Motion and Structure (H2)
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
Section: Singular Value Decompostion, SVD in Face Recognition (H4)
Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
* Determining Motion from 3D Line Segment Matches: A Comparative Study
* Direct Method for Stereo Correspondence Based on Singular Value Decomposition, A
* Invariant Image-Analysis Based on Radon-Transform and SVD
* Noise Estimation and Filtering Using Block-Based Singular-Value Decomposition
* Scanning Singular-Value-Decomposition Method for Restoration of Images with Space-Variant Blur
* Sequential Factorization Method for Recovering Shape and Motion from Image Streams, A
* Shape and Motion from Image Streams: A Factorization Method
* Shift Variant Image Degradation and Restoration Using SVD
17 for SVD

SVM Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
Section: Support Vector Machines, SVM, Applied to Recognition (H3)
Section: Support Vector Machines, SVM, Feature Selection (H3)
Section: Support Vector Machines, SVM, Incremental, Multi-Step (H3)
Section: Support Vector Machines, SVM, One-Class Classification (H3)
Section: Support Vector Machines, SVM, Surveys, Reviews, General (H3)
Section: Support Vector Machines, SVM (H2)
Section: Training Support Vector Machines, SVM Training, Learning (H3)
8 for SVM

Swarms Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
Section: Vehicle Swarms, Robot Swarms (H4)

Symbol Recognition Section: Analysis of Graphics, Logos (H3)
Section: Analysis of Graphics, Symbols, Trademarks, Icons (H3)
Section: Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
Section: OCR, Document Analysis and Character Recognition Systems (H)
* Method and apparatus for vectorizing documents and symbol recognition

Symmetry Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
Section: Axial Descriptions (H2)
Section: Distance Transforms, Distance Functions, Distance Measures (H2)
Section: Generalized Cylinder Generation from Intensity Data (H2)
Section: Generalized Cylinders -- Generation (H2)
Section: Generalized Cylinders -- Theory (H2)
Section: Generation from Sparse Data (H2)
Section: Ribbon Descriptions (H2)
Section: Skeletons and Axial Descriptions - Medial Axis Transform (MAT) etc. (H1)
Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
Section: Surface and Shape from Contours or Silhouettes (H1)
Section: Symmetries in Two Dimensions (H1)
* On Symmetry, Perspectivity, and Level-Set-Based Segmentation
* Symmetric Stereo Matching for Occlusion Handling
17 for Symmetry

Symmetry, 2-D Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: Symmetries in Two Dimensions (H1)
* Globally Optimal Grouping for Symmetric Closed Boundaries by Combining Boundary and Region Information

Symmetry, Axial Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Rotational Symmetry, Axial Symmetry (H3)

Symmetry, Rotation Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Rotational Symmetry, Axial Symmetry (H3)

Symmetry, Three-Dimensional Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: General Three-Dimensional Symmetries, 3-D Symmetry (H3)

Synchronization Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
Section: Video Registration Techniques, Synchronizing, Synchronization (H3)
* Video Event Recognition Using Kernel Methods with Multilevel Temporal Alignment

Syntactic Analysis Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
Section: String Matching, Syntatic Matching (H3)

Syntactic Recognition Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
Section: Structural, Syntactic Methods for Image Analysis (H1)
Section: Two Dimensional Grammars, Syntactic, Graph Grammars (H2)

Syntactic Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
Section: Structural, Syntactic Methods for Image Analysis (H1)
Section: Syntactic Methods for Region Segmentation (H2)
Section: Two Dimensional Grammars, Syntactic, Graph Grammars (H2)

Syntatic Descriptions Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
Section: Structural, Syntactic Methods for Image Analysis (H1)
Section: Two Dimensional Grammars, Syntactic, Graph Grammars (H2)

Synthesis Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Adversarial Networks for Image Synthesis, Image Generation (H4)
Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
Section: Point Cloud Generation, Point Cloud Synthesis (H4)
Section: SAR Simulation (H3)
Section: Text to Image, Layout to Image, Image Based Rendering (H3)
7 for Synthesis

Synthesis, Speech Section: New Unsorted Entries, and Other Miscellaneous Papers (H)
Section: Speech Synthesis, Synthetic Speech (H3)

Synthesis, Texture Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: Texture Synthesis (H2)

Synthetic Aperture Radar Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* Registration and Exploitation of Multi-pass Airborne Synthetic Aperture Radar Images

System, ACCIO Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* Localized Content-Based Image Retrieval

System, CATENA Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Fully Automatic Optical Processing System CATENA at DLR, The

System, CENTRIST Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* C^4: A Real-Time Object Detection Framework

System, GelSight Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
* Microgeometry Capture using an Elastomeric Sensor

System, Halcon * *MVTec Software GmbH
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)

System, Impala * *Euvision Technologies

System, Seadragon * *Zoom It, Seadragon
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)

System, Zorroa Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Mining Insights From Visual Assets

System: ACRONYM Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: ACRONYM and SUCCESSOR Papers - Stanford University and Others (H2)
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Model-Based Interpretation of Range Imagery

System: ALVINN Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
Section: CMU Road Followers, ALVINN YARF MANIAC (H3)
* Neural Network Perception for Mobile Robot Guidance
* Panacea: An Active Sensor Controller for the ALVINN Autonomous Driving System

System: AMBLER Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* AMBLER: An Autonomous Rover for Planetary Exploration

System: APPLY Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Architecture Independent Programming Language for Low-Level Vision, An

System: BABE Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
* Incorporating Vanishing-Point Geometry in Building Extraction Techniques

System: CME Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
Section: SRI Environments -- Image Calc, CME RADIUS (H2)

System: Codger Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* June 1987 Annual Report: Development of an Integrated Mobile Robot System at Carnegie Mellon

System: Condor Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Context-Based Vision: Recognizing Objects Using Information from Both 2-D and 3-D Imagery
* Employing Contextual Information in Computer Vision
* Natural Object Recognition

System: CVS Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Context-Based Vision: Recognition of Natural Scenes

System: ENVI * *ITT Visual Information Solutions

System: Geometer Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Constraint-Based Modeling
* Geometer: A System for Modeling and Algebraic Manipulation

System: Gipsy * *Groningen Image Processing System, GIPSY
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Gipsy: General Image Processing System

System: IDECS Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Image Discrimination Enhancement Combination System (IDECS)

System: IGS Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* IGS: A Paradigm for Integrating Image Segmentation and Interpretation

System: IUA Section: Hardware -- Image Understanding Architecture, IUA (H2)
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Image Understanding Architecture, The
* Overview of Architecture Research for Image Understanding at the University of Massachusetts, An

System: IUE Section: Image Understanding Environment, The (H2)
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)

System: KBVision Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Image Understanding Tools

System: Khoros Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Khoros Software Development Environment for Image and Signal Processing, The

System: MANIAC Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* MANIAC: A Next Generation Neurally Based Autonomous Road Follower

System: MAPS/SPAM Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Section: CMU MAPS Image Database System (H1)

System: Mapsee Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Knowledge Structuring and Constraint Satisfaction: The Mapsee Approach
* Logic of Depiction, The

System: MSYS Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* MSYS: A System for Reasoning about Scenes

System: NAVLAB * *Vision and Navigation, the Carnegie Mellon NAVLAB
Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
Section: Carnegie Mellon NAVLAB, AMBLER, etc. (H3)

System: NGS Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* June 1987 Annual Report: Development of an Integrated Mobile Robot System at Carnegie Mellon

System: OpenCV Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* OpenCV: Examples of Use and New Applications in Stereo, Recognition and Tracking

System: Phoenix Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* Phoenix Image Segmentation System: Description and Evaluation, The
* Recursive Region Segmentation by Analysis of Histograms

System: Poly Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
* Interpreting Pictures of Polyhedral Scenes

System: SEE Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
* Computer Recognition of Three-Dimensional Objects in a Visual Scene

System: SIGMA Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
Section: Remote Sensing General Issue, Land Use, Land Cover (H)
* Expert Systems for Image Processing: Knowledge-Based Composition of Image Analysis Processes
* Sigma Image Understanding System, The
* SIGMA: A Knowledge-Based Aerial Image Understanding System

System: SLAM Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* General Learning Algorithm for Robot Vision

System: Spider Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Design and Implementation of SPIDER: A Transportable Image Processing Software Package

System: Successor * *CVonline: Model-based vision
Section: ACRONYM and SUCCESSOR Papers - Stanford University and Others (H2)
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)

System: Tina Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* multiprocessor 3D vision system for pick and place, A
* Parallel Architecture for Fast 3-D Machine Vision

System: VaMoRs Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* VaMoRs-P An Advanced Platform for Visual Autonomous Road Vehicle Guidance

System: VISIONS Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
Section: Complete Systems Derived from the Univ. Massachusetts Work (H2)
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
Section: University of Massachusetts VISIONS System (H2)
* Segmentation of Natural Scenes
* Use of an Evidential Based Model for Representing Knowledge and Reasoning about Images in the VISIONS System, The
* VISIONS: A computer System for Interpreting Scenes
7 for System: VISIONS

System: Vista Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Vista: A Software Environment for Computer Vision Research

System: YARF Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* Combining Artificial Neural Networks and Symbolic Processing for Autonomous Robot Guidance

Systems Section: GIS: Database Issues, Implementation Issues, Design (H2)
Section: GIS: Systems, Complete Systems, Implementation (H1)
Section: GIS: Temporal Database Issues, Spatio-Temporal Database, Dynamic (H3)
Section: GIS: Volunteered Geographic Information, Open Access, Crowd Sourcing, Crowdsource (H2)
Section: Remote Sensing General Issue, Land Use, Land Cover (H)

Systems, Survey Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Image Understanding Environments

Index for "t"

Last update:30-Nov-23 16:21:20
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