Keywords e

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

ECG 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)

ECOC Section: Error Correcting Output Codes, ECOC (H3)
Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)

Economic Analysis Section: Financial Analysis (H2)
Section: New Unsorted Entries, and Other Miscellaneous Papers (H)

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 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 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, 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: 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
8 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: Image Editing, Interactive Editing (H3)

Education Section: Books, Collections, Overviews, General, and Surveys (H)
Section: Education Issues (H2)

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

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 -- Feature-Based, Long Range, Motion and Structure Estimates, 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.

Elastic Matching Section: OCR, Document Analysis and Character Recognition Systems (H)
* Handprinted Character-Recognition Based on Spatial Topology Distance Measurement

Electric Vehicles Section: Electric Vehicle Issues, Usage, Charging, Controls (H4)
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)

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

Electromagnetic Section: Magnetic, Electromagnetic Detection for Buried Objects, UXO, Landmines (H4)
Section: Remote Sensing, Cartography, Aerial Images, Buildings, Roads, Terrain, ATR (H)

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)

Elevation Models Section: Buildings DEM, Elevation, Surface Models (H3)
Section: Remote Sensing, Cartography, Aerial Images, Buildings, Roads, Terrain, 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)

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..

Emotion Recognition Section: Emotion Recognition from Face Images (H3)
Section: Emotion Recognition, from Other Than Faces (H4)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)

Empirical Evaluation Section: Remote Sensing, Cartography, Aerial Images, Buildings, Roads, Terrain, ATR (H)
* Performance Analysis of a Simple Vehicle Detction Algorithm

Encryption 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)
* Lossless image compression and encryption using SCAN
* Picture Data Encryption Using Scan Patterns

Endmember Extraction Section: Hyperspectral Data, Endmember Extraction (H3)
Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)

Endoscopic Imaging Section: Medical Applications -- Colonoscopy (H2)
Section: Medical Applications -- Endoscopy (H1)
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 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)

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: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
Section: OCR, Document Analysis and Character Recognition Systems (H)
Section: Tomographic Images, Artifact Removal, Enhancement (H2)
* Wavelet Transform for Local Image-Enhancement, The
15 for Enhancement

Ensemble Classification Section: Multiple Classifiers, Combining Classifiers, Combinations (H3)
Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (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

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)

Epileptic Seizures Section: Epileptic Seizures, Epilepsy Detection and Analysis (H2)
Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)

Epilespy 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)

Erosion Section: Erosion Analysis, Changes (H3)
Section: Remote Sensing, Cartography, Aerial Images, Buildings, Roads, Terrain, ATR (H)

Error Analysis 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)
Section: Remote Sensing, Cartography, Aerial Images, Buildings, Roads, Terrain, ATR (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)

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

Euler Number Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: Digital Topology (H2)

Evaluation Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: Books, Collections, Overviews, General, and Surveys (H)
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: 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)
Section: Remote Sensing, Cartography, Aerial Images, Buildings, Roads, Terrain, ATR (H)
* 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
22 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, 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: Remote Sensing, Cartography, Aerial Images, Buildings, Roads, Terrain, 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, Cartography, Aerial Images, Buildings, Roads, Terrain, ATR (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: Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
Section: Remote Sensing, Cartography, Aerial Images, Buildings, Roads, Terrain, ATR (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, 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: 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)
Section: Remote Sensing, Cartography, Aerial Images, Buildings, Roads, Terrain, ATR (H)
* Computer Vision Performance Characterization
* Efficient Evaluations of Edge-Connectivity and Width Uniformity

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)
* 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, 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, 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 -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)

Evaluation, Human Detection Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, 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, 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)

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, 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 -- Feature-Based, Long Range, Motion and Structure Estimates, 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, 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: Remote Sensing, Cartography, Aerial Images, Buildings, Roads, Terrain, 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 Issues, Evaluations of Techniques, Validation (H2)
Section: Remote Sensing, Cartography, Aerial Images, Buildings, Roads, Terrain, ATR (H)

Evaluation, Samples Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
Section: 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, 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, Target Tracking Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
Section: Target Tracking Techniques, Performance Evaluation, Comparison, 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, 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: Remote Sensing, Cartography, Aerial Images, Buildings, Roads, Terrain, 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 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: Motion Coding Evaluation, 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 (H3)
Section: Remote Sensing, Cartography, Aerial Images, Buildings, Roads, Terrain, ATR (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 -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)

Event Recognition Section: Human Activity Recognition, Human Behaviors (H3)
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)

Event Understanding 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: Surveillance of Vehicles and Occupants, Driver Monitoring (H3)
Section: Traffic Surveillance, Analysis of Traffic (H3)
Section: Traffic Surveillance, Analysis, Aerial Images, Airborne Sensors (H4)
* Temporal Scene Analysis: Conceptual Descriptions of Object Movements
9 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)

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

Expressions Section: Face Expression Recognition and Analysis, Facial Expression Analysis, Facial Expressions (H3)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Facial Expressions, Overviews, Surveys, Data (H3)
Section: Micro Expressions, Subtle Expressions, Face Expression Recognition (H4)
Section: Three-Dimensional Face Expression Recognition and Analysis (H4)

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 (H
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)

Extremal Regions Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: Maximally Stable Extremal Regions, MSER Descriptions (H2)

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 Tracking Section: Driver Monitoring, Eyes, Gaze (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)

Eyeglasses Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Glasses Detection, Eyeglasses Detection (H4)

Index for "f"


Last update:11-Nov-17 13:53:35
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