Keywords e

Early Vision System * Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Machine Perception of 3-D Solids

Early Vision * 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Books, Collections, Overviews, General, and Surveys (H)
* 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 * Heart Analysis, ECG, Electrocardiogram (H2)
* Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)

Echocardiography * Heart, Cardiac, Echocardiography (H2)
* Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)

Edge-Preserving Smoothing * 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Fast Structure-Adaptive Evaluation of Local Features in Images, A

Edge Detection Hardware * Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
* System for Real-Time Extraction of Image Outlines, A

Edge Detection * 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* Basic Edge Detection Operations (H1)
* Basic Edge Operators (H2)
* Diffusion Applied to Edge Detection (H2)
* Directional Masks, Gaussian Masks, Canny etc. (H2)
* Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
* Edge Detection, The Early Years, Before 1980 (H2)
* Hueckel -- Basis Functions, Model Fitting for Edge Detection (H2)
* Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
* Motion Analysis --Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
* Multiple Resolution Edge Detectors to Improve Performance, Hierarchical (H2)
* Optical Flow Field Computations and Use (H)
* Optimal Edge Operators (H3)
* Step Edge Operators (H3)
* Subpixel Accuracy Edge Detection Methods (H2)
* 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 * Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
* Survey of Edge Detection Techniques, A

Edge Linking * Boundaries - More Than Simple Edge Points, Linking (H1)
* Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
* Extended Linear Features - Beyond Segments (H2)
* 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

Edges, Adaptive * Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
* Improving Edges by Neighborhood Processing, Relaxation (H2)

Edges, Canny * Directional Masks, Gaussian Masks, Canny etc. (H2)
* Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
* Spatio-Temporal Generalization of Canny's Edge Detector, A

Edges, Color * Color Edge Detectors (H1)
* Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
* Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
* Computational Stereo Using Color

Edges, Detectors - Basic * Basic Edge Operators (H2)
* Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
* Other Edge Detector and Use Papers (H1)

Edges, Detectors - Optimal * Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
* Optimal Edge Operators (H3)

Edges, Detectors - Step Edges * Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
* Step Edge Operators (H3)

Edges, Detectors - Texture * Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
* Texture Edge Operators (H3)

Edges, Evaluation * Basic Edges, General Discussion, Analysis (H3)
* Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
* 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 * Boundaries - More Than Simple Edge Points, Linking (H1)
* Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)

Edges, Facet Model * Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
* Facet Model for Edge Detection (H2)

Edges, Gradients * Basic Edges, Gradient Computations (H3)
* Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)

Edges, History * Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
* 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 * Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
* Hueckel -- Basis Functions, Model Fitting for Edge Detection (H2)

Edges, Motion * Motion Analysis --Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
* Motion Edges -- Detection and Analysis (H1)
* Optical Flow Field -- Boundaries (H2)
* Optical Flow Field Computations and Use (H)

Edges, Multi-Dimensional * Computation of Edges in Range or Multi-Dimensional Data (H1)
* Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)

Edges, Multiple Scale * Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
* Multiple Resolution Edge Detectors to Improve Performance, Hierarchical (H2)
* Edge Detection by Computer Using Planning

Edges, Noise * Basic Operators, Noise Analysis (H3)
* Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)

Edges, Range * Computation of Edges in Range or Multi-Dimensional Data (H1)
* Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)

Edges, Region Segmentation * 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* Combining Region and Edge Based Techniques (H1)

Edges, Relaxation * Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
* Improving Edges by Neighborhood Processing, Relaxation (H2)

Edges, Subpixel * Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
* Subpixel Accuracy Edge Detection Methods (H2)

Edges, Three-Dimensional * Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
* Three-Dimensional Boundary Following

Edges, Zero Crossings * Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
* Laplacian, Gaussian Filters for Edges and Zero Crossings (H2)

Edit Distance * Graph Edit Distance, Tree-Edit Distance (H3)
* Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)

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

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

Ego motion * Egomotion or Ego Motion Computation from Flow Fields (H2)
* More Direct Ego Motion Computation (H3)
* Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Optical Flow Field Computations and Use (H)
* Estimating 3-D Egomotion from Perspective Image Sequences

Egomotion Estimation * Optical Flow Field Computations and Use (H)
* Direction-Selective Filters for Egomotion Estimation

Eigen Decomposition * Computation and Analysis of Principal Components, Eigen Values, SVD (H3)
* Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)

Eigen Representations * Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Principal Component Decompositions, Point features (H2)
* 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 * 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* 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 * Computation and Analysis of Principal Components, Eigen Values, SVD (H3)
* Invariants -- Eigen Representations, General Appearance Based Methods (H2)
* Learning for Principal Components, Eigen Representations (H3)
* Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)

Eigenfaces * Faces using Invariants -- Eigenfaces (H3)
* Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)

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

Electron Microscope * Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* Electron Microscope Images and Sensors (H2)

Ellipse * Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
* Ellipse Detection, Ellipse Fitting, Elliptical Shapes (H3)

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

Encryption * Encryption, Visual Cryptography, Authentication (H3)
* Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
* OCR, Document Analysis and Character Recognition Systems (H)
* Lossless image compression and encryption using SCAN
* Picture Data Encryption Using Scan Patterns

Energy Minimization * Energy Minimization, Energy Maximization Computation, Function Solving, Optimizations (H3)
* Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)

Engineering Drawing Analysis * Books, Collections, Overviews, General, and Surveys (H)
* Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
* Engineering Drawings, Hand Drawings Analysis (H2)
* Line Vectorization, Document Analysis (H2)
* 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 * Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* Diffusion Process for Enhancement, Restoration and Smoothing (H2)
* Enhancement, Restoration of Document Images, Curls (H3)
* Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Fingerprint Image Enhancement and Compression (H2)
* Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
* OCR, Document Analysis and Character Recognition Systems (H)
* Tomographic Images, Artifact Removal, Enhancement (H2)
* Wavelet Transform for Local Image-Enhancement, The
9 for Enhancement

Entropy * Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
* Maximum Entropy in Restoration (H2)
* Minimum Entropy in Restoration (H3)
* Motion Analysis --Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
* Restoring with Maximum Likelihood and Maximum Entropy

Environments * General Purpose Image Analysis Systems (H1)
* General Purpose Image Processing Systems - Software (H2)
* Image Understanding Environment, The (H2)
* Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* SRI Environments -- Image Calc, CME RADIUS (H2)

Epipolar Constraint * Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* Improved Method of Digital Image Correlation, An

Epipolar Geometry * Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
* Multiview Geometry: Profiles and Self-Calibration

Epipolar Line * EpiPolar Analysis (H3)
* Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)

Epipolar Plane * Epipolar-Plane Analysis in Spatio-Temporal Analysis (H2)
* Motion Analysis --Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)

Epipolar * 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
* Epipolar Geometry for Panoramic Cameras

Equation Recognition * Formulas, Equations, Mathematical Expressions (H3)
* OCR, Document Analysis and Character Recognition Systems (H)

Error Analysis * Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR (H)
* Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
* MPEG Error Concealment Issues (H3)
* 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 * Block Coding -- Reduce Block Artifacts, Effects, Deblocking (H3)
* DCT Block Coding -- Block Artifacts in DCT (H4)
* Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
* Reconstruction from Coded Images, Error Recovery (H3)

Error Concealment, Video * Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
* Transmission Issues, Reduce Errors from Coding or Transmission (H3)

Error Estimation * Error Estimation, Classification Accuracy (H3)
* Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)

Essential Matrix * Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* Simple Technique for Self-Calibration, A

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

Evaluation * 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Books, Collections, Overviews, General, and Surveys (H)
* Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR (H)
* Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
* Image Enhancement, Survey, Review, Evaluation (H2)
* Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
* Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* OCR Evaluations (H2)
* OCR, Document Analysis and Character Recognition Systems (H)
* Optical Flow Field Computations and Use (H)
* Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* Performance Characterization in Computer Vision (H3)
* Performance 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
22 for Evaluation

Evaluation, Biometrics * 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, Camera Calibration * Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* comparative review of camera calibrating methods with accuracy evaluation, A

Evaluation, Classifiers * 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR (H)
* Classifier, Performance Evaluation, Errors, Comparisons (H2)
* Error Estimation, Classification Accuracy (H3)
* Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (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 * 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 * Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR (H)
* 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 * 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 * 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 * Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Survey, Comparison, Evaluation, of Segmentation and Cut Detection (H3)

Evaluation, Deformable Models * 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, Depth * 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 * 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 * OCR, Document Analysis and Character Recognition Systems (H)
* Document-Retrieval Tolerating Character-Recognition Errors: Evaluation and Application

Evaluation, Document Segmentation * OCR, Document Analysis and Character Recognition Systems (H)
* Evaluating the performance of table processing algorithms
* Table structure understanding and its performance evaluation

Evaluation, Edges * Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR (H)
* Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
* Evaluation of Edge Detection Algorithms (H1)
* Evaluations of Edge Detectors, Multiple Algorithms (H2)
* Computer Vision Performance Characterization
* Efficient Evaluations of Edge-Connectivity and Width Uniformity

Evaluation, Face Detection * Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Face Detection: A Survey

Evaluation, Face Recognition * Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Improving Identification Performance by Integrating Evidence from Sequences
* Three-Dimensional Face Recognition in the Presence of Facial Expressions: An Annotated Deformable Model Approach

Evaluation, Face Verification * 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 * Face Analysis, General, Surveys, Evaluations, Databases of Images (H2)
* Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* 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

Evaluation, Fingerprints * Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* 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, Handwriting * OCR, Document Analysis and Character Recognition Systems (H)
* Experimental evaluation of an on-line scribble recognizer

Evaluation, Image Quality * OCR, Document Analysis and Character Recognition Systems (H)
* Image Quality Evaluation Method Based on Digital Watermarking, An

Evaluation, Invariants * Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* Fundamental Limitations On Projective Invariants Of Planar Curves

Evaluation, Learning * Evaluation and Analysis of Learning Techniques (H2)
* Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)

Evaluation, Lip Reading * Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Extraction of Visual Features for Lipreading

Evaluation, Matching * Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Bounds on Shape-Recognition Performance
* Comparative-Study of the Robustness of Two Pose Estimation Techniques, A
* Gauging Relational Consistency and Correcting Structural Errors

Evaluation, Motion Coding * Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
* Motion Coding, Evaluations, Surveys (H2)
* Motion Compensation, Low Bit Rate, Survey, Evaluations (H4)

Evaluation, Motion * Error Analysis of Motion and Structure Computations (H2)
* Motion Analysis --Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)

Evaluation, Neural Networks * Neural Networks Combinations and Evaluations (H3)
* Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)

Evaluation, OCR * Character Recognition Survey, Overview, Evaluations (H2)
* Chinese Characters, Review, Survey, Evaluations (H3)
* 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 * Error Analysis, Evaluation for Optical Flow (H1)
* Optical Flow Field Computations and Use (H)
* Comparison of Approaches to Egomotion Computation

Evaluation, Page Segmentation * 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 * Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Analysis of Brute-Force Break-Ins of a Palmprint Authentication System

Evaluation, Pose * 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 * Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Surveys, Comparisons, Evaluations, Principal Components (H3)

Evaluation, Print Quality * OCR, Document Analysis and Character Recognition Systems (H)
* automatic measurement device for the evaluation of the print quality of printed characters, An

Evaluation, Range Segmentation * 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 * Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR (H)
* Parametric Statistical-Method for Error-Detection in Digital Elevation Models

Evaluation, Recognition * Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Object Recognition Evaluation (H2)

Evaluation, Reconstruction * 3D Reconstruction by Shadow Carving: Theory and Practical Evaluation
* 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 * Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
* 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 * Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Structural Matching by Discrete Relaxation

Evaluation, Samples * Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* Sample Sizes Issues, Data analysis, Training Sets (H3)

Evaluation, SAR * 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 * 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* Comparison and Evaluation of Different Techniques (H1)
* Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* OCR, Document Analysis and Character Recognition Systems (H)
* Advances in Image and Video Segmentation
* Assessment of Very High Spatial Resolution Satellite Image Segmentations
* 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 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
35 for Evaluation, Segmentation

Evaluation, Shadow Detection * 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* Detecting moving shadows: algorithms and evaluation

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

Evaluation, Stereo * Error Analysis, Performance Analysis of Computation Methods (H1)
* 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 * Evaluation, Surveillance Systems (H3)
* Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)

Evaluation, Target Tracking * Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Target Tracking Techniques, Evaluation, Comparison, Survey (H3)

Evaluation, Text Detection * OCR, Document Analysis and Character Recognition Systems (H)
* Automatic Performance Evaluation Protocol for Video Text Detection Algorithms, An

Evaluation, Texture * 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 * 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 * OCR, Document Analysis and Character Recognition Systems (H)
* Evaluation of Binarization Methods for Document Images

Evaluation, Vehicles * Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR (H)
* Vehicle Ground-truth Database for the Vertical-view Ft. Hood Imagery

Evaluation, Video Analysis * Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Directions in automatic video analysis evaluations at NIST

Evaluation, Video Indexing * 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 * 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 * Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
* Motion Coding Evaluation, Video Image Quality Evaluations (H3)

Evaluation, Watermark * 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

Event Detection * Detecting Anomalies, Abnormal Event or Rare Events (H3)
* Event Descriptions, Understanding Motion and Events (H2)
* Event Models, Action Models, Motion Detection for Events, Backgrounds (H3)
* Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)

Event Understanding * Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* Analysis of Traffic (H3)
* Event Descriptions, Understanding Motion and Events (H2)
* Human Motion Understanding and Analysis (H2)
* Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Surveillance of Vehicles and Occupants (H3)
* Analogical Representation of Spatial Events for Understanding Traffic Behaviour
* Temporal Scene Analysis: Conceptual Descriptions of Object Movements
8 for Event Understanding

Evidence Theory * Evidence Theory, Combination Techniques, Optimization Techniques (H3)
* Fuzzy Sets, Fuzzy Logic (H4)
* Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)

Expert Systems * Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* 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 * Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Facial Expressions, Overviews, Surveys, Data (H3)

Extended Gaussian Image * 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Gaussian Sphere (EGI), Intrinsic Images, and Surface Orientations (H
* Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (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 * Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* Camera Calibration -- Photogrammetric (H2)

Eye Location * Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Finding Facial Features -- Eye Detection (H3)
* Horizontal Human Face Pose Determination Using Pupils and Skin Region Positions

Eye Tracking * Driver Monitoring, Eyes, Gaze (H4)
* Eye Tracking and Gaze Tracking, Gaze Estimation (H2)
* Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)

Index for "f"