E57 Format
* *ASTM E57 committee on 3D imaging systems
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* new, open standard for 3D imaging data, A
Ear Location
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Finding Facial Features -- Ear Detection and Recognition (H3)
Ear Recognition
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Finding Facial Features -- Ear Detection and Recognition (H3)
Early Vision System
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Machine Perception of 3-D Solids
Early Vision
Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: Books, Collections, Overviews, General, and Surveys (H)
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Learning Early-Vision Computations
* Proposing new methods in low-level vision from the Mach band illusion in retrospect
* Pyramid Framework for Early Vision: Multiresolution Computer Vision, A
Earthquake
Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Section: Disaster Management, Seismic Vulnerability, Earthquakes (H4)
Section: Earthquakes, Seismic Processing (H4)
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
Earthquakes
Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Section: Landslide Analysis, Earthquake Related, Seismic Analysis (H4)
Section: Remote Sensing General Issue, Land Use, Land Cover (H)
Section: Seismic, Ionosphere Analysis for Earthquakes from Space (H3)
Section: Surface Deformation From SAR Applied to Earthquakes, Fault Monitoring (H4)
ECG
Section: ECG, Electrocardiogram for Biometrics (H3)
Section: Heart Analysis, ECG, Electrocardiogram, Other Electrical Signals (H2)
Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
Echocardiogram
Section: Heart, Cardiac, Echocardiography, Ultrasound (H2)
Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
Echocardiography
Section: Heart, Cardiac, Echocardiography, Ultrasound (H2)
Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
Eco-Driving
Section: Eco-Driving (H4)
Section: Emission Control Issues in Traffic Control (H4)
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
ECOC
Section: Error Correcting Output Codes, ECOC (H3)
Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
Ecological Quality
Section: Environmental Quality, Ecological Quality (H4)
Section: Remote Sensing General Issue, Land Use, Land Cover (H)
Economic Analysis
Section: Financial Analysis, Business Systems (H2)
Section: New Unsorted Entries, and Other Miscellaneous Papers (H)
Economic Data
Section: GIS: Economic Data Analysis and Representation (H2)
Section: Remote Sensing General Issue, Land Use, Land Cover (H)
Eddy
Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Section: Oceanic Eddy Currents, Eddies (H4)
Edge-Preserving Smoothing
Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Fast Structure-Adaptive Evaluation of Local Features in Images, A
Edge Computing
Section: Edge Computing in Vehicle Networks, VANET (H4)
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
Edge Detection Hardware
Section: Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
* System for Real-Time Extraction of Image Outlines, A
Edge Detection
Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
Section: Basic Edge Detection Operations (H1)
Section: Basic Edge Operators (H2)
Section: Diffusion Applied to Edge Detection (H2)
Section: Directional Masks, Gaussian Masks, Canny etc. (H2)
Section: Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
Section: Edge Detection, The Early Years, Before 1980 (H2)
Section: Hueckel -- Basis Functions, Model Fitting for Edge Detection (H2)
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
Section: Multiple Resolution Edge Detectors to Improve Performance, Hierarchical, Multi-Scale (H2)
Section: Optical Flow Field Computations and Use (H)
Section: Optimal Edge Operators (H3)
Section: Step Edge Operators (H3)
Section: Subpixel Accuracy Edge Detection Methods, Sub-Pixel Edges (H2)
Section: Texture Edge Operators (H3)
* Delineating Agricultural Field Boundaries from TM Imagery Using Dyadic Wavelet Transforms
* Edge Detection in Optical Flow Fields
* Image Processing
* resonant retina: Exploiting vibration noise to optimally detect edges in an image, The
* Texture Boundary Analysis
21 for Edge Detection
Edge Detection, Survey
Section: Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
* Survey of Edge Detection Techniques, A
Edge Detectrion
Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
Section: Boundary Detection for Semantic Segmentation, Border Analysis (H3)
Edge Linking
Section: Boundaries - More Than Simple Edge Points, Linking (H1)
Section: Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
Section: Extended Linear Features - Beyond Segments (H2)
Section: General Systems for Lines and Curves (H2)
* Edge Linking By Sequential Search
* Edgel Aggregation and Edge Description
* Hierarchical Relaxation System for Line Labeling and Grouping, A
* Machine Perception of Linear Structure
* On Edge and Line Linking with Connectionist Models
9 for Edge Linking
Edge Matching
Section: Image Registration -- Using Edges, Lines, Curves, and Corner and other Features (H3)
Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
Edge, 3-D
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Features of Surfaces and Range Data, Ridges, Edges (H3)
Edges
Section: Edge Based Stereo Analysis: Scan Line Oriented (H2)
Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
Section: Super Resolution Analysis Using Edges, Edge Analysis for Superresolution (H3)
Edges, Adaptive
Section: Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
Section: Improving Edges by Neighborhood Processing, Relaxation, Multi-Scale (H2)
Edges, Canny
Section: Directional Masks, Gaussian Masks, Canny etc. (H2)
Section: Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
* Spatio-Temporal Generalization of Canny's Edge Detector, A
Edges, Color
Section: Color Edge Detectors (H1)
Section: Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
* Computational Stereo Using Color
Edges, Detectors - Basic
Section: Basic Edge Operators (H2)
Section: Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
Section: Other Edge Detector and Use Papers (H1)
Edges, Detectors - Optimal
Section: Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
Section: Optimal Edge Operators (H3)
Edges, Detectors - Step Edges
Section: Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
Section: Step Edge Operators (H3)
Edges, Detectors - Texture
Section: Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
Section: Texture Edge Operators (H3)
Edges, Evaluation
Section: Basic Edges, General Discussion, Analysis (H3)
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: Edge Detectors Based on Learning, Neural Nets, etc. (H3)
Section: Evaluation of Edge Detection Algorithms (H1)
* Context Dependent Edge Detection
* Effect of Morphological Filters on Texture Boundary Localization, The
* Efficient Evaluations of Edge-Connectivity and Width Uniformity
* Some Defects in Finite-Difference Edge Finders
9 for Edges, Evaluation
Edges, Extended
Section: Boundaries - More Than Simple Edge Points, Linking (H1)
Section: Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
Edges, Facet Model
Section: Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
Section: Facet Model for Edge Detection (H2)
Edges, Gradients
Section: Basic Edges, Gradient Computations (H3)
Section: Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
Edges, History
Section: Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
Section: Edge Detection, The Early Years, Before 1980 (H2)
* Directional Selectivity and its Use in Early Visual Processing
* Linear Feature Extraction
* Local Visual Operator Which Recognizes Edges and Lines, A
* Theory of Edge Detection
Edges, Hueckel
Section: Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
Section: Hueckel -- Basis Functions, Model Fitting for Edge Detection (H2)
Edges, Motion
Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
Section: Motion Edges -- Detection and Analysis (H1)
Section: Optical Flow Field -- Boundaries (H2)
Section: Optical Flow Field Computations and Use (H)
Edges, Multi-Dimensional
Section: Computation of Edges in Range, Depth or Multi-Dimensional Data (H1)
Section: Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
Edges, Multiple Scale
Section: Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
Section: Multiple Resolution Edge Detectors to Improve Performance, Hierarchical, Multi-Scale (H2)
* Edge Detection by Computer Using Planning
Edges, Noise
Section: Basic Operators, Noise Analysis (H3)
Section: Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
Edges, Range
Section: Computation of Edges in Range, Depth or Multi-Dimensional Data (H1)
Section: Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
Edges, Region Segmentation
Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
Section: Combining Region and Edge Based Techniques (H1)
Edges, Relaxation
Section: Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
Section: Improving Edges by Neighborhood Processing, Relaxation, Multi-Scale (H2)
Edges, Subpixel
Section: Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
Section: Subpixel Accuracy Edge Detection Methods, Sub-Pixel Edges (H2)
Edges, Three-Dimensional
Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
* Three-Dimensional Boundary Following
Edges, Zero Crossings
Section: Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
Section: Laplacian, Gaussian Filters for Edges and Zero Crossings (H2)
Edit Distance
Section: Graph Edit Distance, Tree-Edit Distance (H3)
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
Editing
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Face Image Editing, Portrait Editing, Interactive Editing (H4)
Section: Image Editing, Interactive Editing, Image Manipulation (H3)
Section: Three-Dimensional Editing (H4)
Section: Video Editing, Interactive Video Editing Systems (H3)
Education
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Books, Collections, Overviews, General, and Surveys (H)
Section: Education Issues, Instructional Media (H2)
Section: Instructional, Training Videos, How To, Teach Machine How (H4)
Section: Telepresence, Immersion, for Instruction, Training, Education (H4)
Education, Remote Sensing
Section: Remote Sensing General Issue, Land Use, Land Cover (H)
Section: Remote Sensing, Cartography, Education, Teaching, Courses (H2)
EEG
Section: Brain Waves, EEG Analysis, Electroencephalogram for Biometrics (H3)
Section: Brain, Cortex, Brain Waves, EEG Analysis, Electroencephalogram (H2)
Section: Brain-Computer Interface, Brain-Machine Interface, Biomimetic (H3)
Section: EEG Noise Removal, Electroencephalogram Denoising (H3)
Section: EEG-MRI, EEG-fMRI, Combined Analysis (H3)
Section: Emotion Recognition Using EEG Analysis, Electroencephalogram (H4)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
8 for EEG
Efficient Implementation
Section: Efficient Implementations Convolutional Neural Networks (H4)
Section: Neural Net Compression (H4)
Section: Neural Net Pruning (H4)
Section: Neural Net Quantization (H4)
Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
Efficient Segmentation
Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
Section: Efficient Semantic Segmentation, Real-Time Segmentation (H3)
Ego Motion
Section: Egomotion or Ego Motion Computation from Flow Fields (H2)
Section: Limited Ego Motion Recovery, Direction or Heading (H3)
Section: More Direct Ego Motion Computation (H3)
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
Section: Optical Flow Field Computations and Use (H)
* Estimating 3-D Egomotion from Perspective Image Sequences
Egocentric Recognition
Section: Egocentric Human Action Recognition, First Person, Wearable Monitoring (H4)
Section: Motion -- Human Motion, Surveillance, Tracking, Surveillance, Activities (H)
Egocentric
Section: Egocentric, Wearable Camera Hand Tracking (H3)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Egomotion Estimation
Section: Optical Flow Field Computations and Use (H)
* Direction-Selective Filters for Egomotion Estimation
Egomotion
Section: Egomotion or Ego Motion Computation from Flow Fields (H2)
Section: Optical Flow Field Computations and Use (H)
Eigen Decomposition
Section: Computation and Analysis of Principal Components, Eigen Values, SVD (H3)
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
Eigen Representations
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Principal Component Decompositions, Point features (H2)
Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* EigenTracking: Robust Matching and Tracking of Articulated Objects Using a View-Based Representation
Eigen Snakes
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
* Affine-Invariant Contour Tracking with Automatic Control of Spatiotemporal Scale
* Principal Warps: Thin-Plate Splines and the Decomposition of Deformations
Eigen Value
Section: Computation and Analysis of Principal Components, Eigen Values, SVD (H3)
Section: Invariants -- Eigen Representations, General Appearance Based Methods (H2)
Section: Learning for Principal Components, Eigen Representations (H3)
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
Eigenfaces
Section: Faces using Invariants, Appearence models -- Eigenfaces (H3)
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
EIT
Definition:* Electrical Impedance Tomography.
El Nino
Section: ENSO, El Nino Southern Oscillation, Ocean Temperature (H4)
Section: Remote Sensing General Issue, Land Use, Land Cover (H)
Elastic Matching
Section: OCR, Document Analysis and Character Recognition Systems (H)
* Handprinted Character-Recognition Based on Spatial Topology Distance Measurement
Elastography
Section: Elastography Analysis (H2)
Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
Electric Vehicles
Section: Battery Swap, Battery Switch Electric Vehicles (H4)
Section: Charging Station Placement, Schedulding, Scaling (H4)
Section: Eco-Driving (H4)
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: Transit, Bus, Electric Vehicle Issues (H4)
Section: Wireless Power, Wireless Charging (H4)
8 for Electric Vehicles
Electrical Impedance Tomography
Section: Electrical Impedance Tomography, EIT (H2)
Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
Electrocardiogram
Section: Heart Analysis, ECG, Electrocardiogram, Other Electrical Signals (H2)
Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
Electroencephalogram
Section: Brain Waves, EEG Analysis, Electroencephalogram for Biometrics (H3)
Section: Brain, Cortex, Brain Waves, EEG Analysis, Electroencephalogram (H2)
Section: EEG-MRI, EEG-fMRI, Combined Analysis (H3)
Section: Emotion Recognition Using EEG Analysis, Electroencephalogram (H4)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
Electromagnetic
Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Section: Magnetic, Electromagnetic Detection for Buried Objects, UXO, Landmines (H4)
Electron Microscope
Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: Electron Microscope Images and Sensors (H2)
Electrophysiology
Section: Cardiac Electrophysiology (H3)
Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
Elevation Models
Section: Buildings DSM, DEM, Elevation, Surface Models (H3)
Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Ellipse Detection
Section: Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
Section: Ellipse Detection, Ellipse Fitting, Elliptical Shapes (H3)
Ellipse Fitting
Section: Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
Section: Ellipse Detection, Ellipse Fitting, Elliptical Shapes (H3)
ELM
Section: Extreme Learning Machine, ELM (H2)
Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
Embedded Systems
Section: Hardware, VLSI Implementations, Embedded Processors, Sensor Processing (H2)
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
EMD
Definition:* Empirical Mode Decomposition..
Emergency Management
Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Section: Disaster Management, Emergency Management, Systems and Techniques (H4)
Section: Evacuation Management (H4)
Emotion Recognition
Section: Audio-Visual Emotion, Audiovisual Emotion Recognition (H4)
Section: Emotion Recognition from Face Images (H3)
Section: Emotion Recognition Using EEG Analysis, Electroencephalogram (H4)
Section: Emotion Recognition, Body Gestures, Body Language (H4)
Section: Emotion Recognition, Deep Learning (H4)
Section: Emotion Recognition, from Other Than Faces (H4)
Section: Emotion Recognition, Survey, General, Review, Datasets, Database (H4)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Multi-Modal Emotion, Multimodal Emotion Recognition (H4)
9 for Emotion Recognition
Emotion
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Books, Collections, Overviews, General, and Surveys (H)
Section: Emotions in Face Animation, Video Face Synthesis (H4)
* Typical and Reverse Other-Race Effect on Tibetan Students' Emotional Face Recognition
Emphysema
Section: Emphysema, Lung Analysis (H3)
Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
Empirical Evaluation
Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
* Performance Analysis of a Simple Vehicle Detction Algorithm
Encoder-Decoder
Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
Section: Encoder-Decoder Networks for Semantic Segmentation (H4)
Encryption
Section: Encryption or JPEG Coded Images, JPEG and Encryption (H4)
Section: Encryption, Visual Cryptography, Authentication (H3)
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Section: OCR, Document Analysis and Character Recognition Systems (H)
Section: Video Encryption, Video Cryptography, Authentication (H4)
* Lossless image compression and encryption using SCAN
* Picture Data Encryption Using Scan Patterns
7 for Encryption
Endmember Extraction
Section: Hyperspectral Data, Endmember Extraction (H4)
Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
Endoscopic Imaging
Section: Medical Applications -- Colonoscopy, Colon Cancer (H2)
Section: Medical Applications -- Endoscopy (H1)
Section: Medical Applications -- Gastrointestinal Tract, Gastric Images (H2)
Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
Endoscopy
Section: Medical Applications -- Endoscopy (H1)
Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
Energy Harvesting
Section: Energy Harvesting Transmission Issues, Energy Harvesting Sensor Network (H3)
Section: New Unsorted Entries, and Other Miscellaneous Papers (H)
Energy Minimization
Section: Energy Minimization, Energy Maximization Computation, Function Solving (H3)
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
Section: MRF Optimization, Energy Minimization (H3)
Energy Model
Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Section: Energy Usage, Energy Efficiency, Buildings, Roofs (H3)
Energy Savings
Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Section: Energy Usage, Energy Efficiency, Buildings, Roofs (H3)
Engineering Drawing Analysis
Section: Books, Collections, Overviews, General, and Surveys (H)
Section: Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
Section: Engineering Drawings, Hand Drawings Analysis (H2)
Section: Line Vectorization, Document Analysis (H2)
Section: OCR, Document Analysis and Character Recognition Systems (H)
* Image Analysis Applications
* Sparse Pixel Vectorization: An Algorithm and Its Performance Evaluation
7 for Engineering Drawing Analysis
Enhancement
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: Document Quality Enhancement, Super Resolution Evaluation (H3)
Section: Enhancement, Restoration of Document Images, Curls (H3)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Fingerprint Unrolling, Image Enhancement and Compression (H2)
Section: Histogram Equalization, Image Enhancement, Contrast Enhancement (H3)
Section: Image Enhancement and Display (H1)
Section: Image Enhancement for Display, Printers, High Dimensional Visualization (H3)
Section: Image Enhancement, Survey, Review, Evaluation (H2)
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Section: Low Light Enhancement (H3)
Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
Section: Night Time Processing (H3)
Section: OCR, Document Analysis and Character Recognition Systems (H)
Section: Tomographic Images, Artifact Removal, Artefacts, Enhancement (H2)
* Wavelet Transform for Local Image-Enhancement, The
17 for Enhancement
Ensemble Classification
Section: Multiple Classifiers, Combining Classifiers, Combinations (H3)
Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
ENSO
Section: ENSO, El Nino Southern Oscillation, Ocean Temperature (H4)
Section: Remote Sensing General Issue, Land Use, Land Cover (H)
Entropy VQ
Section: Entropy Based Vector Quantization (H3)
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Entropy
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Section: Maximum Entropy in Restoration (H2)
Section: Minimum Entropy in Restoration (H3)
Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
* Restoring with Maximum Likelihood and Maximum Entropy
Environmental Quality
Section: Environmental Quality, Ecological Quality (H4)
Section: Remote Sensing General Issue, Land Use, Land Cover (H)
Environments
Section: General Purpose Image Analysis Systems (H1)
Section: General Purpose Image Processing Systems - Software (H2)
Section: Image Understanding Environment, The (H2)
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
Section: SRI Environments -- Image Calc, CME RADIUS (H2)
Epilepsy
Section: Epileptic Seizures, Epilepsy Detection and Analysis (H2)
Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
Epileptic Seizures
Section: Epileptic Seizures, Epilepsy Detection and Analysis (H2)
Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
Epipolar Constraint
Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* Improved Method of Digital Image Correlation, An
Epipolar Geometry
Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
* Multiview Geometry: Profiles and Self-Calibration
Epipolar Line
Section: EpiPolar Analysis (H3)
Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
Epipolar Plane
Section: Epipolar-Plane Analysis in Spatio-Temporal Analysis (H2)
Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
Epipolar
Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
* Epipolar Geometry for Panoramic Cameras
Epithelial Cells
Section: HEp-2 Cell Analysis, Human Epithelial Type 2 Cells (H3)
Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
Equation Recognition
Section: Formulas, Equations, Mathematical Expressions, Mathematical Symbols (H3)
Section: OCR, Document Analysis and Character Recognition Systems (H)
Ergonomic
Section: Ergonomic Studies, Ergonomic Analysis (H4)
Section: Motion -- Human Motion, Surveillance, Tracking, Surveillance, Activities (H)
Erosion
Section: Erosion Analysis, Changes (H2)
Section: Remote Sensing General Issue, Land Use, Land Cover (H)
Error Analysis
Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Section: MPEG Error Concealment, Artifacts Issues (H3)
Section: Optical Flow Field Computations and Use (H)
* Seamline detection in colour orthoimage mosaicking by use of twin snakes
* What Is Computed by Structure from Motion Algorithms?
Error Concealment
Section: Block Coding -- Reduce Block Artifacts, Effects, Deblocking (H3)
Section: DCT Block Coding -- Block Artifacts in DCT (H4)
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Section: Reconstruction from Coded Images, Error Recovery (H3)
Error Concealment, Video
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Section: Transmission Issues, Reduce Errors from Coding or Transmission (H3)
Error Estimation
Section: Error Estimation, Classification Accuracy (H3)
Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
Errors
Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
Section: GPS, GNSS, Error Analysis, Comparisons, Data Quality (H4)
Essential Matrix
Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
Section: Fundamental Matrix Computation and Use (H2)
* Simple Technique for Self-Calibration, A
Eucalyptus
Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Section: Eucalypt Trees, Eucalyptus (H3)
Euler Number
Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: Digital Topology (H2)
Evacuation
Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Section: Evacuation Management (H4)
Evaluation
Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: Books, Collections, Overviews, General, and Surveys (H)
Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Section: Challenges for Mosaic Generation, Super Resolution and Stabilization (H3)
Section: Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
Section: Image Enhancement, Survey, Review, Evaluation (H2)
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
Section: OCR Evaluations (H2)
Section: OCR, Document Analysis and Character Recognition Systems (H)
Section: Optical Flow Field Computations and Use (H)
Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
Section: Performance Characterization in Computer Vision (H3)
Section: Performance, Evaluation Issues (H2)
* Comparative Study of Three Paradigms for Object Recognition: Bayesian Statistics, Neural Networks, and Expert Systems, A
* Comparison of Different Image Subband Coding Methods at Low Bit Rates
* Evaluation of Automatic Road Extraction
* Evaluation of prototype learning algorithms for nearest-neighbor classifier in application to handwritten character recognition
* Large-Scale Simulation Studies in Image Pattern Recognition
* Optical-Flow Estimation and the Interaction Between Measurement Errors at Adjacent Pixel Positions
* Orientation Reliability Matrix for the Iterative Closest Point Algorithm, An
* Techniques for Assessing Polygonal Approximations of Curves
* Toward Improved Ranking Metrics
24 for Evaluation
Evaluation, 3-D Sensors
Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
* Assessing the performance of 3D-imaging systems
Evaluation, Arabic Handwriting
Section: OCR, Document Analysis and Character Recognition Systems (H)
* ICDAR 2009 Online Arabic Handwriting Recognition Competition
Evaluation, ATR
Section: ATR -- Survey, Review, Evaluation, General Discussions (H2)
Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Evaluation, Binarization
Section: OCR, Document Analysis and Character Recognition Systems (H)
* DIBCO 2009: document image binarization contest
Section: ICFHR 2012 Competition on Handwritten Document Image Binarization (H-DIBCO 2012)
Evaluation, Biometrics
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Database, protocols and tools for evaluating score-level fusion algorithms in biometric authentication
* Error analysis of pattern recognition systems: The subsets bootstrap
* Evaluation of Multimodal 2D+3D Face Biometrics, An
* Introduction to Evaluating Biometric Systems, An
* Large-Scale Evaluation of Multimodal Biometric Authentication Using State-of-the-Art Systems
* Performance of Biometric Quality Measures
* Statistical Performance Evaluation of Biometric Authentication Systems Using Random Effects Models
8 for Evaluation, Biometrics
Evaluation, Building Extraction
Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
* Introducing Mapping Standards in the Quality Assessment of Buildings Extracted from Very High Resolution Satellite Imagery
Evaluation, Camera Calibration
Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* comparative review of camera calibrating methods with accuracy evaluation, A
Evaluation, Classifiers
Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
Section: Classifier, Performance Evaluation, Errors, Comparisons (H2)
Section: Error Estimation, Classification Accuracy (H3)
Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
Section: Remote Sensing General Issue, Land Use, Land Cover (H)
* Digital Land-Use Classification Using Space-Shuttle-Acquired Orbital Photographs: A Quantitative Comparison with Landsat TM Imagery of a Coastal Environment, Chanthaburi, Thailand
* Evaluation for uncertain image classification and segmentation
7 for Evaluation, Classifiers
Evaluation, Coding
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
* Comparison of Different Coding Formats for Digital Coding of Video Using MPEG-2, A
Evaluation, Corner Detector
Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Section: Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
* Computer Vision Performance Characterization
* Performance evaluation of corner detectors using consistency and accuracy measures
Evaluation, Cross Ratio
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Probabilistic Analysis of the Application of the Cross Ratio to Model-Based Vision
Evaluation, Curvature
Section: Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
* On the Accuracy of Point Curvature Estimators in a Discrete Environment
Evaluation, 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)
Evaluation, Deformable Models
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Comments on: A methodology for evaluation of boundary detection algorithms on medical images
* methodology for evaluation of boundary detection algorithms on medical images, A
Evaluation, DEM
Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Section: DEM, DSM, DTM, Evaluations, Valdiation, Surveys, Overviews (H2)
Evaluation, Denoising
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
* Is Denoising Dead?
Evaluation, Depth
Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
* Comparative Study of Stereo, Vergence, and Focus as Depth Cues for Active Vision, A
Evaluation, Document Analysis
Section: OCR, Document Analysis and Character Recognition Systems (H)
* Automated Performance Evaluation of Document Image-Analysis Systems: Issues and Practice
* Performance Evaluation for Document Analysis
* Statistical, Nonparametric Methodology for Document Degradation Model Validation, A
Evaluation, Document Retrieval
Section: OCR, Document Analysis and Character Recognition Systems (H)
* Document-Retrieval Tolerating Character-Recognition Errors: Evaluation and Application
Evaluation, Document Segmentation
Section: OCR, Document Analysis and Character Recognition Systems (H)
* Evaluating the performance of table processing algorithms
* Table structure understanding and its performance evaluation
Evaluation, Edges
Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Section: Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
Section: Evaluation of Edge Detection Algorithms (H1)
Section: Evaluations of Edge Detectors, Multiple Algorithms (H2)
* Computer Vision Performance Characterization
* Efficient Evaluations of Edge-Connectivity and Width Uniformity
Evaluation, Evapotranspiration
Section: Remote Sensing General Issue, Land Use, Land Cover (H)
* Assessment and Comparison of Six Machine Learning Models in Estimating Evapotranspiration over Croplands Using Remote Sensing and Meteorological Factors
Evaluation, Face Detection
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Face detection evaluation: a new approach based on the golden ratio ?
* Face Detection: A Survey
Evaluation, Face Recognition
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Benchmarking asymmetric 3D-2D face recognition systems
* FRVT 2006 and ICE 2006 Large-Scale Experimental Results
* Impact of eye detection error on face recognition performance
* Improving Identification Performance by Integrating Evidence from Sequences
* Three-Dimensional Face Recognition in the Presence of Facial Expressions: An Annotated Deformable Model Approach
7 for Evaluation, Face Recognition
Evaluation, Face Verification
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Face Verification, Authentication, Evaluations, Verification Benchmarks (H3)
* Comparison of Face Verification Algorithms using Appearance Models, A
Evaluation, Faces
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)
* Computational and performance aspects of PCA-based face recognition algorithms
* CSU Face Identification Evaluation System: Its purpose, features, and structure, The
* FERET Database and Evaluation Procedure for Face-Recognition Algorithms, The
* FERET Evaluation Methodology for Face-Recognition Algorithms, The
7 for Evaluation, Faces
Evaluation, Facial Landmarks
* 2nd 106-point Lightweight Facial Landmark Localization Grand Challenge, The
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Evaluation, Feature Points
Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: Evaluation of Salient Point, Interest Point Detection (H3)
Evaluation, Fingerprints
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Fingerprint Systems, Overviews, Comparisons, Evaluation (H2)
* Biometric Template Selection and Update: A Case Study in Fingerprints
* Comparative Performance of Classification Methods for Fingerprints
* Fingerprint Classification: A Review
* Fingerprint Image Enhancement: Algorithm and Performance Evaluation
* Fingerprinting doesn't Hold up as a Science in Court
* On the Individuality of Fingerprints
* On the similarity of identical twin fingerprints
* Performance Evaluation of Fingerprint Verification Systems
10 for Evaluation, Fingerprints
Evaluation, General
* *Reproducible Research
Section: Books, Collections, Overviews, General, and Surveys (H)
Evaluation, GPS
Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
Section: GPS, GNSS, Error Analysis, Comparisons, Data Quality (H4)
Evaluation, Handwriting
Section: OCR, Document Analysis and Character Recognition Systems (H)
* Experimental evaluation of an on-line scribble recognizer
Evaluation, Human Actions
Section: Human Action Recognition and Detection, Surveys, Evaluation, General (H4)
Section: Motion -- Human Motion, Surveillance, Tracking, Surveillance, Activities (H)
Evaluation, Human Detection
Section: Motion -- Human Motion, Surveillance, Tracking, Surveillance, Activities (H)
* Evaluation of sampling-based pedestrian detection for crowd counting
Evaluation, Ikonos
Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
* Impact of Imaging Geometry on 3D Geopositioning Accuracy of Stereo Ikonos Imagery
Evaluation, Image Coding
Section: Image Compression, Coding, Surveys, Evaluations and Overviews (H3)
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Evaluation, Image Quality
Section: OCR, Document Analysis and Character Recognition Systems (H)
* Image Quality Evaluation Method Based on Digital Watermarking, An
Evaluation, Indexing
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
Section: Video Database General, Overview, Survey and Evaluations (H3)
Evaluation, Interest Points
Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Are Performance Differences of Interest Operators Statistically Significant?
Evaluation, Invariants
Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* Fundamental Limitations On Projective Invariants Of Planar Curves
Evaluation, Kinship Verification
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* FG 2015 Kinship Verification in the Wild Evaluation, The
Evaluation, Learning
Section: Evaluation and Analysis of Learning Techniques (H2)
Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
Evaluation, Lip Reading
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Extraction of Visual Features for Lipreading
Evaluation, Liver Segmentation
Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
* Comparison and Evaluation of Methods for Liver Segmentation From CT Datasets
Evaluation, 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)
* Bounds on Shape-Recognition Performance
* Comparative-Study of the Robustness of Two Pose Estimation Techniques, A
* Gauging Relational Consistency and Correcting Structural Errors
* Performance Evaluation of Full Search Equivalent Pattern Matching Algorithms
Evaluation, Mosaic
Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
* Image Based Quantitative Mosaic Evaluation with Artificial Video
Evaluation, Motion Coding
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Section: Motion Coding, Video Coding, Evaluations, Surveys (H2)
Section: Motion Compensation, Low Bit Rate, Survey, Evaluations (H4)
Evaluation, Motion Segmentation
Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
Section: Motion Segmentation, Object Extraction, Evaluation, Survey (H2)
* novel instrument to compare dynamic object detection algorithms, A
Evaluation, Motion
Section: Error Analysis of Motion and Structure Computations (H2)
Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
Evaluation, Multiview
Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
* Evaluation of Multi-view 3D Reconstruction Software
Evaluation, Neural Networks
Section: Neural Networks Combinations and Evaluations (H3)
Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
Evaluation, Object Detection
Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Beyond top-N accuracy indicator: a comprehensive evaluation indicator of CNN models in image classification
* Improved Head and Data Augmentation to Reduce Artifacts at Grid Boundaries in Object Detection
Evaluation, Object Tracking
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* First Visual Object Tracking Segmentation VOTS2023 Challenge Results, The
Evaluation, OCR
Section: Character Recognition Survey, Overview, Evaluations (H2)
Section: Chinese Characters, Review, Survey, Evaluations (H3)
Section: OCR, Document Analysis and Character Recognition Systems (H)
* Automatic Closed-Loop Methodology for Generating Character Groundtruth for Scanned Documents, An
* Automatic performance evaluation of printed Chinese character recognition systems
* Evaluation of Multiexpert Configurations for the Recognition of Handwritten Numerals, An
* Experimental Evaluation of OCR Text Representations for Learning Document Classifiers, An
* general framework for the evaluation of symbol recognition methods, A
* Improving OCR Performance Using Character Degradation Models and Boosting Algorithm
* Large scale address recognition systems: Truthing, testing, tools, and other evaluation issues
* OCR Accuracy: UNLV's Second Annual Test
* Performance Analysis of an OCR System Via an Artificial Handwritten Chinese Character Generator
* Performance Evaluation of Pattern Classifiers for Handwritten Character Recognition
* Some Experiments In The Evaluation Of A Character Recognition Scanner
14 for Evaluation, OCR
Evaluation, Optical Flow
Section: Error Analysis, Evaluation for Optical Flow (H1)
Section: Optical Flow Field Computations and Use (H)
* Comparison of Approaches to Egomotion Computation
Evaluation, Page Segmentation
Section: OCR, Document Analysis and Character Recognition Systems (H)
* Document zone content classification and its performance evaluation
* Empirical Performance Evaluation Methodology and Its Application to Page Segmentation Algorithms
* Performance Evaluation and Benchmarking of Six-Page Segmentation Algorithms
* Performance Evaluation of Document Structure Extraction Algorithms
* Pink Panther: A Complete Environment for Ground Truthing and Benchmarking Document Page Segmentation
* Software Architecture of PSET: A Page Segmentation Evaluation Toolkit
7 for Evaluation, Page Segmentation
Evaluation, Palmprints
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Analysis of Brute-Force Break-Ins of a Palmprint Authentication System
Evaluation, Pedestrian Detection
Section: Motion -- Human Motion, Surveillance, Tracking, Surveillance, Activities (H)
Section: Surveys, Evaluation, Datasets, Human Detection, People Detection, Pedestrians (H4)
* Pedestrian detection: A benchmark
Evaluation, Pose
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Estimating 3-D Rigid-Body Transformations: A Comparison of Four Major Algorithms
Evaluation, Principal Components
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
Section: Surveys, Comparisons, Evaluations, Principal Components (H3)
Evaluation, Print Quality
Section: OCR, Document Analysis and Character Recognition Systems (H)
* automatic measurement device for the evaluation of the print quality of printed characters, An
Evaluation, Radiography
Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
* Modeling the Performance Characteristics of Computed Radiography (CR) Systems
Evaluation, Rainfall
Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Section: Evaluation and Comparison of Rainfall Analysis over China (H4)
Section: Evaluation and Comparison of Rainfall Analysis, Rain, Precipitation Products (H4)
Evaluation, Range Segmentation
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Experimental Comparison of Range Image Segmentation Algorithms, An
* Performance Evaluation of a Class of M-Estimators for Surface Parameter Estimation in Noisy Range Data
* Range Image Segmentation: The User's Dilemma
Evaluation, Range
Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
* Parametric Statistical-Method for Error-Detection in Digital Elevation Models
Evaluation, RANSAC
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Performance Evaluation of RANSAC Family
Evaluation, Recognition
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
Section: Object Recognition Evaluation (H2)
Section: Object Recognition, Retrieval Datasets (H2)
Evaluation, Reconstruction
* 3D Reconstruction by Shadow Carving: Theory and Practical Evaluation
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* On the Performance Evaluation of 3D Reconstruction Techniques from a Sequence of Images
* Theory, Design, Implementation and Evaluation of a 3D Surface Detection Algorithm, The
Evaluation, Registration
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)
* comparison of manual and automatic methods for registering scans of the head, A
* Quality Assessment of Remote-Sensing Image Registration: Analysis and Testing of Control Point Residuals
Evaluation, Relaxation
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Structural Matching by Discrete Relaxation
Evaluation, Remote Sensing
Section: Remote Sensing General Issue, Land Use, Land Cover (H)
Section: Remote Sensing Issues, Evaluations of Techniques, Validation (H2)
Evaluation, Road Detection
Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
* Statistical Evaluation and Analysis of Road Extraction Methodologies Using a Unique Dataset from Remote Sensing
Evaluation, Samples
Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
Section: Small Sample Sizes Issues, Data analysis, Training Sets (H3)
Evaluation, SAR
Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* Accuracy Assessment of Stereo-Extracted Data from Airborne SAR Images
Evaluation, Segmentation
Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
Section: Comparison and Evaluation of Different Techniques, Segmentation Evaluation, Benchmarks (H1)
Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: OCR, Document Analysis and Character Recognition Systems (H)
* Advances in Image and Video Segmentation
* Assessment of Very High Spatial Resolution Satellite Image Segmentations
* comparative evaluation of interactive segmentation algorithms, A
* Comparative Performance Evaluation of Segmentation Methods Based on Region Growing and Division
* Comparative Performance Study of Several Global Thresholding Techniques for Segmentation, A
* Comparison of Some Segmentation Algorithms for Cytology, A
* Dynamic Measurement of Computer Generated Image Segmentations
* Effective Multiresolution Arc Segmentation: Algorithms and Performance Evaluation
* Error Measures for Scene Segmentation
* Evaluation and Comparison of Different Segmentation Algorithms
* Evaluation of Binarization Methods for Document Images
* Evaluation of Segmentation Results and the Overlapping Area Matrix, The
* Generalized Overlap Measures for Evaluation and Validation in Medical Image Analysis
* Goal-Directed Evaluation of Binarization Methods
* Image segmentation evaluation: A survey of unsupervised methods
* Image Segmentation Techniques
* in-depth study of graph partitioning measures for perceptual organization, An
* MOOSE Users' Manual Implementation Guide Evaluation
* Multiresolution Color Image Segmentation
* Objective and quantitative segmentation evaluation and comparison
* On the use of the overlapping area matrix for image segmentation evaluation: A survey and new performance measures
* Phoenix Image Segmentation System: Description and Evaluation, The
* Quantitative Evaluation of a Novel Image Segmentation Algorithm
* Quantitative Evaluation of Color Image Segmentation Results
* Review on Image Segmentation Techniques, A
* Segmentation of Document Images
* Segmentation of FLIR Images: A Comparative Study
* Stand-Alone Objective Segmentation Quality Evaluation
* Survey of Methods and Strategies in Character Segmentation, A
* Survey on Evaluation Methods for Image Segmentation, A
* Toward a Generic Evaluation of Image Segmentation
* Toward Objective Evaluation of Image Segmentation Algorithms
* Visible colour difference-based quantitative evaluation of colour segmentation
37 for Evaluation, Segmentation
Evaluation, Shadow Detection
Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* Detecting moving shadows: algorithms and evaluation
Evaluation, Shape from Shading
Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
Section: Analysis of Shape from Shading (H2)
Evaluation, Shot Boundary
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Video shot boundary detection: Seven years of TRECVid activity
Evaluation, Soil Moisture
Section: Remote Sensing General Issue, Land Use, Land Cover (H)
Section: Soil Moisture, Evaluations and Comparisions of Different Methods (H3)
Evaluation, Stereo
Section: Error Analysis, Evaluation, Performance Analysis of Computation Methods (H1)
Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
* Stretch-Correlation as a Real-Time Alternative to Feature-Based Stereo Matching Algorithms
Evaluation, Surveillance
Section: Evaluation, Surveillance Systems (H3)
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
Evaluation, Symbol Recognition
Section: OCR, Document Analysis and Character Recognition Systems (H)
* CROHME2011: Competition on Recognition of Online Handwritten Mathematical Expressions
Evaluation, Symmetry
* 2017 ICCV Challenge: Detecting Symmetry in the Wild
Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Evaluation, Target Tracking
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
Section: Target Tracking Challenges, Result Summaries (H4)
Section: Target Tracking Techniques, Performance Evaluation, Comparison, Benchmarks, Datasets, Survey (H3)
Evaluation, Text Detection
Section: OCR, Document Analysis and Character Recognition Systems (H)
* Automatic Performance Evaluation Protocol for Video Text Detection Algorithms, An
Evaluation, Texture
Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* Comparative Study of Texture Measures for Terrain Classification, A
* Comparative Study of Texture Measures with Classification Based on Feature Distributions, A
* Image Texture Analysis and Segmentation
* Performance Evaluation of Signal and Image Processing Systems
* segmentation algorithm for noisy images: Design and evaluation, A
* Texture Feature Performance for Image Segmentation
7 for Evaluation, Texture
Evaluation, Thinning
Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Performance Characterization in Image Analysis: Thinning, a Case in Point
* Quantitative Performance Evaluation of Thinning Algorithms Under Noisy Conditions
Evaluation, Thresholding
Section: OCR, Document Analysis and Character Recognition Systems (H)
* Evaluation of Binarization Methods for Document Images
Evaluation, Tracking
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* HOTA: A Higher Order Metric for Evaluating Multi-object Tracking
Evaluation, Vehicle Detection
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Computational Modeling of Age-Differences in a Visually Demanding Driving Task: Vehicle Detection
Evaluation, Vehicles
Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
* Vehicle Ground-truth Database for the Vertical-view Ft. Hood Imagery
Evaluation, Video Analysis
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Are Visual Informatics Actually Useful in Practice: A Study in a Film Studies Context
* Directions in automatic video analysis evaluations at NIST
Evaluation, Video Coding
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Section: Motion Coding, Video Coding, Evaluations, Surveys (H2)
Evaluation, Video Indexing
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* ARGOS campaign: Evaluation of video analysis and indexing tools, The
Evaluation, Video Segmentation
Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* Objective evaluation of video segmentation quality
* Perceptually-Weighted Evaluation Criteria for Segmentation Masks in Video Sequences
Evaluation, Video
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Section: Video Quality, Video Image Quality Evaluations (H3)
Evaluation, Watermark
Section: OCR, Document Analysis and Character Recognition Systems (H)
* framework for evaluating the data-hiding capacity of image sources, A
* Novel Scheme for Hybrid Digital Video Watermarking: Approach, Evaluation and Experimentation, A
* Performance evaluation of an incorporated DCT block-based watermarking algorithm with human visual system model
Evapotranspiration
Section: Evapotranspiration, Evaporation, Remote Sensing (H2)
Section: Remote Sensing General Issue, Land Use, Land Cover (H)
Section: Specific Site Evapotranspiration Analyusis (H3)
Event Camera
Section: Event Camera Opeical Flow (H2)
Section: Event Camera (H4)
Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
Section: Optical Flow Field Computations and Use (H)
Event Detection
Section: Detecting Anomalies, Abnormal Event, Abnormal Behavior, or Rare Events, Rare Behaviors (H3)
Section: Event Descriptions, Understanding Motion and Events (H2)
Section: Event Models, Action Models, Motion Detection for Events, Backgrounds (H3)
Section: Motion -- Human Motion, Surveillance, Tracking, Surveillance, Activities (H)
Event Recognition
Section: Depth Based, Human Activity Recognition (H4)
Section: Human Activity Recognition, Human Behaviors (H3)
Section: Motion -- Human Motion, Surveillance, Tracking, Surveillance, Activities (H)
Event Understanding
Section: Applied Traffic Surveillance, Control for Intersections (H4)
Section: Applied Traffic Surveillance, Traffic Events, Red Lights, Parking (H4)
Section: Event Descriptions, Understanding Motion and Events (H2)
Section: Human Motion Understanding and Analysis, Surveys, Reviews, Evaulations (H3)
Section: Human Motion Understanding and Analysis (H2)
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
Section: Motion -- Human Motion, Surveillance, Tracking, Surveillance, Activities (H)
Section: Surveillance of Vehicles and Occupants, Driver Monitoring (H3)
Section: Traffic Surveillance, Analysis of Traffic (H3)
Section: Traffic Surveillance, Analysis, Aerial Images, Overhead, Airborne Sensors (H4)
Section: Traffic Surveillance, Control for Roundabouts, Traffic Circles (H4)
* Temporal Scene Analysis: Conceptual Descriptions of Object Movements
12 for Event Understanding
Evidence Theory
Section: Evidence Theory, Combination Techniques, Optimization Techniques (H3)
Section: Fuzzy Sets, Fuzzy Logic (H4)
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
Exemplar Methods
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Inpainting, Exemplar Based Methods (H4)
Exoskeleton
Section: Motion -- Human Motion, Surveillance, Tracking, Surveillance, Activities (H)
Section: Wearable Exoskeleton (H4)
Exotic Plants
Section: Invasive Plants, Weeds, Exotic Plants (H3)
Section: Remote Sensing General Issue, Land Use, Land Cover (H)
Expert Systems
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
Section: Rule-Based or Expert Systems for Recognition (H2)
* Comparative Study of Three Paradigms for Object Recognition: Bayesian Statistics, Neural Networks, and Expert Systems, A
Explainable
Section: Explainable Aritficial Intelligence (H3)
Section: Intrepretation, Explaination, Understanding of Convolutional Neural Networks (H4)
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
Expressions
Section: Applied Face Expression Recognition, Specific Expressions (H4)
Section: Face Action Units for Expressions and Motion Analysis, FAU, FACS (H4)
Section: Face Expression Recognition and Analysis, Facial Expression Analysis, Facial Expressions (H3)
Section: Face Expression Recognition for Human Comupter Interaction (H4)
Section: Face Expression Recognition for Pain (H4)
Section: Face Expression Recognition for Stress (H4)
Section: Face Expression Recognition Using Learning, Neural Nets (H4)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Facial Expressions, Overviews, Surveys, Data (H3)
Section: Facial Feature Tracking for Expressions (H4)
Section: Formulas, Equations, Mathematical Expressions, Mathematical Symbols (H3)
Section: Micro Expressions, Subtle Expressions, Face Expression Recognition (H4)
Section: Multi-View Face Expression Recognition and Analysis (H4)
Section: OCR, Document Analysis and Character Recognition Systems (H)
Section: Sptatio-Temporal Analysis for Face Expression Recognition (H4)
Section: Three-Dimensional Face Expression Recognition and Analysis (H4)
16 for Expressions
Extended Gaussian Image
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Gaussian Sphere (EGI), Intrinsic Images, and Surface Orientations (H1)
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Orientation-Based Differential Geometric Representations for Computer Vision Applications
* Recognition of 3-D Objects Using the Extended Gaussian Image
* Three-Dimensional Vision System for Bin-Picking, A
Exterior Angles
Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
Section: Camera Calibration, Photogrammetric, Bundle Adjustment, Block Adjustment (H2)
Extrapolation
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Outpainting, Extrapolation (H4)
Extremal Regions
Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: Maximally Stable Extremal Regions, MSER Descriptions (H2)
Extreme Learning Machines
Section: Extreme Learning Machine, ELM (H2)
Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
Eye Blink
Section: Eye State, Blink, Open, Closed (H3)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Eye Detection
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Finding Facial Features, Eye Detection (H3)
Eye Location
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Finding Facial Features, Eye Detection (H3)
Section: Redeye Detection, Red Eye Detection (H4)
* Horizontal Human Face Pose Determination Using Pupils and Skin Region Positions
Eye State
Section: Eye State, Blink, Open, Closed (H3)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Eye Tracking
Section: Driver Monitoring, Eyes, Gaze, Drowsiness (H4)
Section: Eye State, Blink, Open, Closed (H3)
Section: Eye Tracking, Pupil Tracking (H2)
Section: Eye, Gaze Computer Interface, Applied Gaze Tracking (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)
Eye
Section: Cataracts, Detection, Analysis, Surgery (H2)
Section: Diabetic Retinopathy, Retinal Analysis Application (H2)
Section: Eye, Cornea, Corneal Images (H2)
Section: Glaucoma Retinopathy, Retinal Analysis Application (H2)
Section: Macular Degeneration Detection, AMD, Retinal Analysis Application (H2)
Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
Section: Optic Disc Location, Optic Disc Detection (H2)
Section: Retinal Images, Analysis of Eye, etc. (H1)
Section: Retinal Images, Angiography, Blood Vessels in the Eye (H2)
Section: Retinal Images, Optical Coherence Tomography, OCT (H2)
10 for Eye
Eyeglasses
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Glasses Detection, Eyeglasses Detection (H4)