Face Analysis
* Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Mouth Location, Lip Location, Detection (H3)
* Synthesis of Novel Views from a Single Face Image
Face Animation
* 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Face Animation, Video Face Synthesis (H3)
* Talking Heads, Speech Driven Face Animation (H3)
Face Databases
* Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Face Retrieval, Face Databases, Retrieval of Faces (H2)
Face Detection
* Face Detection in Video (H3)
* Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Finding Faces by Color Features (H3)
* Finding Faces by Finding Features (H3)
* Finding Faces in Images, Face Detection (H2)
* Learning Face Detection, Neural Nets, SVM (H3)
* Localizing a Face in an Image, Face Localization (H3)
* Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* Face Detection and Gesture Recognition for Human-Computer Interaction
* Fast Asymmetric Learning for Cascade Face Detection
10 for Face Detection
Face Models
* 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Face Model Generation, Three-Dimensional Models (H4)
* Face Synthesis Using Three-Dimensional Models (H3)
* Acquiring Height Data from a Single Image of a Face Using Local Shape Indicators
Face Recognition
* 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
* Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* Face Action Units for Expressions and Motion Analysis (H3)
* Face Analysis -- Find and Use Features, Facial Features (H2)
* Face Analysis -- Gender and Age Variations (H2)
* Face Analysis, General, Surveys, Evaluations, Databases of Images (H2)
* Face Analysis, Poggio and the MIT Group (H2)
* Face Analysis, Profiles (H2)
* Face Expression Recognition and Analysis (H3)
* Face Recognition and Synthesis Using Models (H3)
* Face Recognition from Video (H3)
* Face Recognition Systems Using Neural Networks (H2)
* Face Recognition Systems (H2)
* Face Recognition Using Three-Dimensional Models, 3-D Models (H3)
* Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Faces using Invariants -- Eigenfaces (H3)
* Facial Expressions, Overviews, Surveys, Data (H3)
* Finding Faces in Images, Face Detection (H2)
* Finding Facial Features -- Eye Detection (H3)
* Finding Facial Features (H3)
* Gabor Wavelets Features for Facial Recognition (H3)
* ICA, PCA in Face Recognition (H4)
* LDA in Face Recognition (H4)
* Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Recognition and Analysis of Faces -- Early Papers (H1)
* Recognition and Analysis of Faces (H1)
* Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* Analysis of facial images using physical and anatomical models
* Contour-Oriented Approach to Shape Analysis, A
* Distortion Invariant Object Recognition in the Dynamic Link Architecture
* Efficient MAP/ML Similarity Matching for Visual Recognition
* Face Recognition Using Eigenfaces
* Flexible Images: Matching and Recognition Using Learned Deformations
* Generalized quotient image
* Probabilistic Visual Learning For Object Representation
* Recognition by Using an Active/Space-Variant Sensor
* Using Photo-Consistency to Register 2D Optical Images of the Human Face to a 3D Surface Model
39 for Face Recognition
Face Synthesis
* 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Face Synthesis Using Three-Dimensional Models (H3)
Faces, Emotions
* Emotion Recognition from Face Images (H3)
* Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Faces, Expression
* Face Action Units for Expressions and Motion Analysis (H3)
* Face Expression Recognition and Analysis (H3)
* Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Faces, Features
* Face Analysis -- Find and Use Features, Facial Features (H2)
* Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Faces, Locating
* 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Face Detection in Video (H3)
* Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Finding Faces by Color Features (H3)
* Finding Faces by Finding Features (H3)
* Finding Faces in Images, Face Detection (H2)
* Learning Face Detection, Neural Nets, SVM (H3)
* Localizing a Face in an Image, Face Localization (H3)
* Face Location in Wavelet-Based Video Compression for High Perceptual Quality Videoconferencing
9 for Faces, Locating
Faces, Profiles
* Face Analysis, Profiles (H2)
* Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Facet Model
* 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
* Facet Model for Descriptions, The (H2)
* Facet Model for Edge Detection (H2)
* Edge and Region Analysis for Digital Image Data
* Zero-Crossing of Second Directional Derivative Edge Operator
Facial Features
* 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Finding Faces by Finding Features (H3)
* Finding Facial Features (H3)
* Active Shape Models with Invariant Optimal Features: Application to Facial Analysis
FACS
* Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Facial Action Coding System: A Technique for the Measurement of Facial Movement, The
Facsimile
* FAX, Facsimile Coding Techniques (H3)
* Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Factorization
* Factorization, General Issues (H3)
* Motion Analysis --Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
Factorization, Motion
* Factorization Approach to Motion (H2)
* Motion Analysis --Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
Fast Algorithms
* 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Computation of General Features (H1)
* Fast, Parallel, Multiresolution Techniques for the Computation of Skeletons (H2)
Fast Algorithms, SfS
* 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
* Hierarchical Methods, Fast Methods, or Simplified Shape from Shading (H2)
Fast Marching Methods
* 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Level Set Methods: Evolving Interfaces in Geometry, Fluid Mechanics, Computer Vision and Materials Science
Fast Partial Search
* Optical Flow Field Computations and Use (H)
* Extracting Structure from Optical Flow Using the Fast Error Search Technique
FAX
* FAX, Facsimile Coding Techniques (H3)
* Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Feature Based Motion
* General Feature Based Motion (H1)
* Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
Feature Computation
* 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Computation of General Features (H1)
* Computation of Shape Features of Two Dimensional Objects (H1)
* Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Machine Vision Techniques for Finding Sugarcane Seedeyes
Feature Description
* Neural Networks for Shapes and Complex Features (H3)
* Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
Feature Detection
* Filters for Detecting Specific Features (H2)
* Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Feature Extraction
* 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Computation of General Features (H1)
* Handwritten Characters, Feature Extraction (H4)
* OCR, Document Analysis and Character Recognition Systems (H)
* Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* Fuzzy Substroke Extractor for Handwritten Chinese Characters, A
* Online Shape-Recognition with Incremental Training Using Binary Synaptic Weights Algorithm
7 for Feature Extraction
Feature Extraction, Corners
* Corner Feature Detection Techniques and Use (H3)
* Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
Feature Matching
* Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Other Feature Matching Techniques (H1)
Feature Selection
* Feature Selection in Pattern Recognition or Clustering (H2)
* Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* Feature Selection and Extraction
* Note on Optimum Feature Selection and Pattern Classification, A
Features
* 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* Radar, Extraction of Features, Segmentation (H2)
* Use of Skeletons for Recognition and Representation (H2)
Features, Evaluation
* Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Good Features to Track
Features, Geometric
* 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* General Shape Computation and Representation (H2)
* Shape Computation Surveys, Comparisons (H3)
* Shape Measures (H3)
Figure-Ground separation
* Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* Segmentation and Aggregation: An Approach to Figure-Ground Phenomena
Filters for Matching
* Principal Component Decompositions, Point features (H2)
* Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
Filters
* Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* Filters and Transforms for Recognition or Detection (H1)
* Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
* Image Restoration: Filter Approaches (H2)
* Optical Filtering (H2)
* Wavelets Filter Design, Bases, and Implementations (H3)
* Steerable Filters for Early Vision, Image Analysis and Wavelet Decomposition
7 for Filters
Filters, Correlation
* Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* Visual Servoing using Correlation Filters
Filters, Scale Space
* Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* Filters in Scale Space (H3)
Filters, Texture
* 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* Texture Segmentation Using Filters (H2)
Finding People
* Database Issues, Finding People (H2)
* Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
Fingerprints
* Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Fingerprint Recognition Methods (H1)
* Fingerprint Systems, Overviews, Comparisons, Evaluation (H2)
* Evaluation of Pattern Classifiers for Fingerprint and OCR Applications
* Fingerprint Classification Using a Hexagonal Fast Fourier-Transform
Finite Element Analysis
* Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* Modal Matching for Correspondence and Recognition
Fish Eye Lens
* Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* Mobile Robot Navigation and Scene Modeling Using Stereo Fish-Eye Lens System
Fisher Discriminant
* Fisher, Parzen, and Other Clustering Measures and Decompositions (H2)
* Optical Flow Field Computations and Use (H)
* Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* Direction-Selective Filters for Egomotion Estimation
* Use of Multiple Measurements in Taxonomic Problems, The
Flexible Templates
* 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* Flexible Color Point Distribution Models
FLIR
* 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* Infrared Imagery Analysis (H2)
* Segmentation of FLIR Images: A Comparative Study
* Survey and Evaluation of FLIR Target Detection/Segmentation Algorithms, A
Flow Fields
* Computation for Vector Fields, Flow Fields (H4)
* Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Flow Histogram
* Optical Flow Field Computations and Use (H)
* Qualitative Description of Camera Motion and Scene Depth from Histograms of Normal Flow
Flow
* Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Fingerprint Features, Ridges, Flow, Orientation Based (H3)
Fluid Flow
* Fluid Flow, Data Visualization (H2)
* Optical Flow Field Computations and Use (H)
Fluorescence
* Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
* Multicolour Analysis and Local Image Correlation in Confocal Microscopy
Focus of Attention
* Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Looking for Trouble: Using Causal Semantics to Direct Focus of Attention
Focus of Expansion
* Focus of Expansion and Other Features (H2)
* Optical Flow Field Computations and Use (H)
Focusing
* 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
* Depth from Focus, Changing Camera Parameters (H1)
Font Recognition
* Font Recognition, Multiple Fonts, etc. (H3)
* OCR, Document Analysis and Character Recognition Systems (H)
Foreground
* Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* Grouping, Figure-Ground, Background, Foreground (H2)
* Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Object Extraction, Object Detection for Database Indexing (H4)
Forest
* Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR (H)
* Forest Extraction, Forest Analysis (H3)
Form Analysis
* Extract Data from Specific Forms (H3)
* Form and Layout Analysis (H2)
* OCR, Document Analysis and Character Recognition Systems (H)
* Specific Examples: Extract Titles, Table of Contents, Citation, Information from Papers and Books (H4)
Fourier Descriptors
* 3-Dimensional Aircraft Recognition Using Fourier Descriptors
* 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR (H)
* Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
* Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Fourier Descriptors, DFT, FFT Computation, Use (H2)
* Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Matching Fourier Descriptors, Fourier Shape Descriptors (H3)
* Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* Transforms for Texture -- Fourier (H1)
* Alignment and Connection of Fragmented Linear Features in Aerial Imagery
* Application of Affine-Invariant Fourier Descriptors to Recognition of 3-D Objects
* Application of Elliptic Fourier Descriptors to Symmetry Detection under Parallel Projection
* Classification of Partial 2-D Shapes Using Fourier Descriptors
* Diffraction-Pattern Sampling for Automatic Pattern Recognition
* Extending The Feature Vector For Automatic Face Recognition
* Fourier Approach to Camera Orientation, A
* Fourier Preprocessing for Hand Print Character Recognition
* Global and Partial Shape Discrimination for Computer Vision
* Matching Three-Dimensional Objects Using Silhouettes
* Method of Normalization to Determine Invariants, The
* New Vision System and the Fourier Descriptor Method by Group Representation Theory, A
* Parametrically Deformable Contour Models
* Phase Congruence Model for Edge Detection in Two-Dimensional Pictures: A Mathematical Study, The
* Review of Algorithms for Shape Analysis, A
* Shape Information Extraction
* Three-Dimensional Shape Analysis Using Moments and Fourier Descriptors
* Towards Effective Planar Shape Representation with Multiscale Digital Curvature Analysis Based on Signal-processing Techniques
29 for Fourier Descriptors
Fourier Transform
* 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* Fourier Descriptors, DFT, FFT Computation, Use (H2)
* Matching Fourier Descriptors, Fourier Shape Descriptors (H3)
* Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* Spatio-Frequency Trade-Off Scale for Scale-Space Filtering, A
Fourier
* Fourier Analysis, Frequency Spectrum Restoration (H2)
* Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Fourier, 3D
* 3D Invariant Estimation of Axisymmetrical Objects Using Fourier Descriptors
* 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Foveal Sensing
* Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* Active Vision: Foveal Sensing (H2)
Foveal Sensor
* Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Indoor Monitoring Via the Collaboration Between a Peripheral Sensor and a Foveal Sensor
Fractals
* 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
* Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* Fractal Based Coding and Compression, Fractal Coding, Fractal Compression (H3)
* Fractal Representations, Fractal Dimension (H2)
* Fractal Texture Segmentation (H2)
* Fractals for Texture Analysis and Description, Fractal Dimension (H2)
* Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Efficacy of Fractal Features in Segmenting Images of Natural Textures
* Fractal Geometry of Nature, The
* Fractal Image Compression
* Fractal-Based Clustering Approach in Large Visual Database-Systems, A
* Fractal-Based Description of Natural Scenes
* Fractals: Form, Chance, and Dimension
* Self-Similar Texture Characterization Using a Fourier Domain Maximum Likelihood Estimation Method
* Shape from Fractal Geometry
* Texture Description and Segmentation through Fractal Geometry
* Texture Roughness Analysis and Synthesis Via Extended Self-Similar (ESS) Model
* Wavelet-Based Analysis of Fractal Image Compression, A
20 for Fractals
Frequency Domain
* Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* Image Reconstruction from Projections under Wavelet Constraints
Fresnel Zone Plate
* Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Real-time Optically Processed Face Recognition System Based on Arbitrary Moire Contours
Function-Based Recognition
* Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Recognition by Function (H2)
Functional Minimization
* 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Active Volumes, Deformable Solids, 3-D Snakes, etc. (H1)
* Finite-Element Methods for Active Contour Models and Balloons for 2-D and 3-D Images
* Range Image Interpretation of Mail Pieces with Superquadrics
* Representation and Recognition of Free-Form Surfaces
* Robust Method for Surface Reconstruction, A
Functional MRI
* Functional Magnetic Resonance, fMRI (H3)
* Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
Fundamental Matrix
* 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* Fundamental Matrix Computation and Use (H2)
* Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Motion and Structure from Two Perspective Views: From Essential Parameters to Euclidean Motion Through the Fundamental Matrix
* Robust Parameter Estimation in Computer Vision
* Stability Analysis of the Fundamental Matrix, A
* Threading Fundamental Matrices
8 for Fundamental Matrix
Fundus Images
* Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
* Retinal Images, Analysis of Eye, etc. (H1)
Fusion
* Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Fusion of Medical Data (H3)
* Fusion, Radar Data (H3)
* Fusion, Range and Intensity Data (H3)
* Image and Sensor Fusion for Cartography and Aerial Images (H3)
* Integration of Different Shape-from-X Cues (H1)
* Integration of Vision Modules (H2)
* Integration over a Sequence (H2)
* Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Motion Analysis --Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
* Motion with Optical Flow and Depth (H2)
* Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* Shape Computations from Multiple Sensors (H1)
* Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
* Information Fusion in Biometrics
15 for Fusion
Fusion, Biometrics
* Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Reduced Multivariate Polynomial Model for Multimodal Biometrics and Classifiers Fusion, A
Fusion, Modules
* Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Integration of Vision Modules: A Game-Theoretic Framework
Fusion, Multiple Views
* 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
* MOSAIC System -- Herman (H2)
* Three-Dimensional Reconstruction from Different Views (H1)
Fusion, Shape
* Shape from Two or More Properties (H1)
* Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
Fusion, Stereo and Texture
* 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
* Integration of Information for Stereo and Multiple Shape-from-Texture Cues, The
Fuzzy Clustering
* Fuzzy Clustering, Cluster Validity Tests (H3)
* Fuzzy Clustering, Fuzzy Classification Techniques (H2)
* Fuzzy Clustering, Overview, Summary, Comparisons (H3)
* Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
Fuzzy Logic
* Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Fuzzy Sets
* Motion Control of a Mobile Vehicle Travelling in a Convoy Using Fuzzy Logic
* Relaxation Applied to Matching Quantitative Relational Structures
Fuzzy Sets
* Fuzzy Sets, Fuzzy Logic (H4)
* Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Distances Between Fuzzy Sets
* Fuzzy Sets
Fuzzy Theory
* OCR, Document Analysis and Character Recognition Systems (H)
* Invariant Handwritten Chinese Character-Recognition Using Fuzzy Ring Data