Face Analysis
[Provide a short definition]
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Mouth Location, Lip Location, Detection (H3)
* Synthesis of Novel Views from a Single Face Image
Face Animation
[Provide a short definition]
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Face Animation, Video Face Synthesis (H3)
Section: Talking Heads, Speech Driven Face Animation (H3)
Face Databases
[Provide a short definition]
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Face Retrieval, Face Databases, Retrieval of Faces (H2)
Face Detection
[Provide a short definition]
Section: Face Detection in Video (H3)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Finding Faces by Color Features (H3)
Section: Finding Faces by Finding Features (H3)
Section: Finding Faces in Images, Face Detection (H2)
Section: Learning Face Detection, Neural Nets, SVM (H3)
Section: Localizing a Face in an Image, Face Localization (H3)
Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
Section: Thermal, Infrared Face Detection and Analysis (H3)
* Face Detection and Gesture Recognition for Human-Computer Interaction
* Fast Asymmetric Learning for Cascade Face Detection
11 for Face Detection
Face Images
[Provide a short definition]
Section: Motion Analysis --Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
Section: Super Resolution for Face Images, Facial Image Super Resolution (H3)
Face Models
[Provide a short definition]
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Face Model Generation, Three-Dimensional Models (H4)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Face Synthesis Using Three-Dimensional Models (H3)
* Acquiring Height Data from a Single Image of a Face Using Local Shape Indicators
Face Pose
[Provide a short definition]
Section: Face Pose, Head Pose from Stereo or Range Data (H3)
Section: Face Pose, Head Pose (H2)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Face Recognition
[Provide a short definition]
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: Face Action Units for Expressions and Motion Analysis (H4)
Section: Face Alignment, Recognition, 3-D Models (H4)
Section: Face Analysis -- Age Variations (H2)
Section: Face Analysis -- Find and Use Features, Facial Features (H2)
Section: Face Analysis -- Gender Classification (H3)
Section: Face Analysis -- High Level Facial Features, Sketches (H3)
Section: Face Analysis, Evaluations, Databases of Images (H2)
Section: Face Analysis, General Papers, Surveys (H3)
Section: Face Analysis, Poggio and the MIT Group (H2)
Section: Face Analysis, Profiles (H2)
Section: Face Analysis, Shading, Illumination and Color Variations (H2)
Section: Face Expression Recognition and Analysis, Facial Expression Analysis, Facial Expressions (H3)
Section: Face Recognition and Using Models (H3)
Section: Face Recognition at a Distance (H3)
Section: Face Recognition from Video, Faces in Video (H3)
Section: Face Recognition Systems Using Neural Networks, Learning (H2)
Section: Face Recognition Systems (H2)
Section: Face Recognition Using Three-Dimensional Models, 3-D Models (H3)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Faces using Invariants, Appearence models -- Eigenfaces (H3)
Section: Facial Expressions, Overviews, Surveys, Data (H3)
Section: Finding Faces in Images, Face Detection (H2)
Section: Finding Facial Features -- Ear Detection and Recognition (H3)
Section: Finding Facial Features, Eye Detection (H3)
Section: Finding Facial Features (H3)
Section: Fourier Features for Facial Recognition (H4)
Section: Gabor Wavelets for Facial Recognition (H3)
Section: ICA, PCA in Face Recognition (H4)
Section: LDA in Face Recognition (H4)
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
Section: Other Invariants in Face Recognition, General Invariants (H4)
Section: Recognition and Analysis of Faces -- Early Papers (H1)
Section: Recognition and Analysis of Faces (H1)
Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
Section: Surveillance Systems, Privacy Protection, Issues, Techniques, Face Obscuration (H3)
Section: Three-Dimensional Model Generation for Recognition, 3-D Models (H4)
* 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 3D reconstruction for face recognition
* 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
52 for Face Recognition
Face Synthesis
[Provide a short definition]
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Face Synthesis Using Three-Dimensional Models (H3)
Face Tracking
[Provide a short definition]
Section: 3-D Model Based Head Motion, Head Tracking, 3D Data Head Pose (H2)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Head Motion, Head Tracking, Tracking Faces in Video (H1)
Section: Tracking Faces, Heads Using Color Models (H3)
Faces, Emotions
Section: Emotion Recognition from Face Images (H3)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Faces, Expression
Section: Face Action Units for Expressions and Motion Analysis (H4)
Section: Face Expression Recognition and Analysis, Facial Expression Analysis, Facial Expressions (H3)
Section: Face Expression Recognition from a Single Image (H4)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Three-Dimensional Face Expression Recognition and Analysis (H4)
Faces, Features
Section: Face Analysis -- Find and Use Features, Facial Features (H2)
Section: Face Analysis -- High Level Facial Features, Sketches (H3)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Faces, Locating
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Face Detection in Video (H3)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Finding Faces by Color Features (H3)
Section: Finding Faces by Finding Features (H3)
Section: Finding Faces in Images, Face Detection (H2)
Section: Learning Face Detection, Neural Nets, SVM (H3)
Section: 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
Section: Face Analysis, Profiles (H2)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Facet Model
[Provide a short definition]
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
Section: Facet Model for Descriptions, The (H2)
Section: Facet Model for Edge Detection (H2)
* Edge and Region Analysis for Digital Image Data
* Zero-Crossing of Second Directional Derivative Edge Operator
Facial Animation
[Provide a short definition]
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Talking Heads, Speech Driven Face Animation (H3)
Facial Expressions
[Provide a short definition]
Section: Face Expression Recognition and Analysis, Facial Expression Analysis, Facial Expressions (H3)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Facial Features
[Provide a short definition]
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Face Analysis -- Find and Use Features, Facial Features (H2)
Section: Face Analysis -- High Level Facial Features, Sketches (H3)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Finding Faces by Finding Features (H3)
Section: Finding Facial Features (H3)
Section: Finding Three-Dimensional Facial Features, 3-D Face Features (H4)
* Active Shape Models with Invariant Optimal Features: Application to Facial Analysis
8 for Facial Features
FACS
Definition:* Facial Action Coding System.
Section: Face Action Units for Expressions and Motion Analysis (H4)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Facial Action Coding System: A Technique for the Measurement of Facial Movement, The
Facsimile
[Provide a short definition]
Section: FAX, Facsimile Coding Techniques (H3)
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Factorization, Motion
Section: Factorization Approach to Motion and Structure (H2)
Section: Motion Analysis --Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
Fall Detection
[Provide a short definition]
Section: Abandoned Luggage, Human Safety, Falling, Drowning, Underwater (H4)
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
Fan-Beam Tomography
[Provide a short definition]
Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
Section: Tomographic Image Generation, Cone-Beam, Fan-Beam, Helical, Spiral Reconstruction (H2)
Fast Algorithms
[Provide a short definition]
Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: Computation of General Features (H1)
Section: Fast, Parallel, Multiresolution Techniques for the Computation of Skeletons (H2)
Fast Algorithms, SfS
Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
Section: Hierarchical Methods, Fast Methods, or Simplified Shape from Shading (H2)
Fast Marching Methods
[Provide a short definition]
Section: 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
[Provide a short definition]
Section: Optical Flow Field Computations and Use (H)
* Extracting Structure from Optical Flow Using the Fast Error Search Technique
Faults
[Provide a short definition]
Section: Motor Faults, Engine Faults, Electrical Faults, Vibrations, Vehicles (H2)
Section: New Unsorted Entries, and Other Miscellaneous Papers (H)
FAX
[Provide a short definition]
Section: FAX, Facsimile Coding Techniques (H3)
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Feature Based Motion
[Provide a short definition]
Section: General Feature Based Motion (H1)
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
Feature Computation
[Provide a short definition]
Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: Computation of General Features (H1)
Section: Computation of Shape Features of Two Dimensional Objects (H1)
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Machine Vision Techniques for Finding Sugarcane Seedeyes
Feature Description
[Provide a short definition]
Section: Neural Networks for Shapes and Complex Features (H3)
Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
Feature Detection
[Provide a short definition]
Section: Filters for Detecting Specific Features (H2)
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Feature Extraction
[Provide a short definition]
Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: Computation of General Features (H1)
Section: Handwritten Characters, Feature Extraction (H4)
Section: OCR, Document Analysis and Character Recognition Systems (H)
Section: 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
Section: Corner Feature Detection Techniques and Use (H3)
Section: Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
Feature Matching
[Provide a short definition]
Section: Database Indexing Using Bag of Words, Bag of Features (H3)
Section: Database Indexing Using Various Features (H3)
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
Section: Other Feature Matching Techniques (H1)
Feature Points
[Provide a short definition]
Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: Interest Operators, Interest Points, Feature Points, Salient Points (H2)
Section: Scale Invariant Features, SIFT, SURF (H3)
Feature Selection
[Provide a short definition]
Section: Feature Selection in Pattern Recognition or Clustering (H2)
Section: Feature Selection using Search (H3)
Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
Section: Support Vector Machines, SVM, Feature Selection (H3)
* Feature Selection and Extraction
* Note on Optimum Feature Selection and Pattern Classification, A
Feature Tracking
[Provide a short definition]
Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* Multiple hypothesis tracking in cluttered condition
Features
[Provide a short definition]
Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: Radar, Extraction of Features, Segmentation (H2)
Section: Use of Skeletons for Recognition and Representation (H2)
Features, Evaluation
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Good Features to Track
Features, Geometric
Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: General Shape Computation and Representation (H2)
Section: Shape Computation Surveys, Comparisons (H3)
Section: Shape Measures (H3)
FFT Computation
[Provide a short definition]
Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: Fourier Descriptors, DFT, FFT Computation, Use, Frequency Analysis (H2)
Figure-Ground separation
[Provide a short definition]
Section: 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
Filter Implementation
[Provide a short definition]
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Section: Implementation, Algorithms and Design of Filters (H2)
Filters for Matching
[Provide a short definition]
Section: Principal Component Decompositions, Point features (H2)
Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
Filters
[Provide a short definition]
Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: Filters and Transforms for Recognition or Detection (H1)
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Section: Image Restoration: Filter Approaches (H2)
Section: Optical Filtering (H2)
Section: Wavelets Filter Design, Bases, Basis, and Implementations (H3)
* Steerable Filters for Early Vision, Image Analysis and Wavelet Decomposition
7 for Filters
Filters, Correlation
Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* Visual Servoing using Correlation Filters
Filters, Scale Space
Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: Filters in Scale Space (H3)
Filters, Texture
Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
Section: Texture Segmentation Using Filters (H2)
Finding People
[Provide a short definition]
Section: Database Issues, Finding People (H2)
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
Finger Spelling
[Provide a short definition]
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Sign Language, Fingerspelling (H4)
Fingerprint Recognition
[Provide a short definition]
Section: OCR, Document Analysis and Character Recognition Systems (H)
* Sensor Interoperability and Fusion in Fingerprint Verification: A Case Study using Minutiae-and Ridge-Based Matchers
Fingerprints
[Provide a short definition]
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Fingerprint Recognition Methods (H1)
Section: 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
[Provide a short definition]
Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* Modal Matching for Correspondence and Recognition
Fire Detection
[Provide a short definition]
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
Section: Surveillance Systems, Applied to Fire and Flame Detection (H3)
* Spectral imaging method and apparatus
Fish Eye Lens
[Provide a short definition]
Section: 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
Fish
[Provide a short definition]
Section: Agriculture, Inspection -- Fish, Fish Motion, Detection (H4)
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
Fisher Discriminant
[Provide a short definition]
Section: Fisher, Parzen, and Other Clustering Measures and Decompositions (H2)
Section: Optical Flow Field Computations and Use (H)
Section: 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
Fisheye Lens Calibration
[Provide a short definition]
Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
Section: Catadioptric, Omnidirectional Camera Calibration, Fisheye Lens (H3)
Flame Detection
[Provide a short definition]
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
Section: Surveillance Systems, Applied to Fire and Flame Detection (H3)
Flexible Templates
[Provide a short definition]
Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* Flexible Color Point Distribution Models
FLIR
[Provide a short definition]
Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: Infrared Imagery Analysis (H2)
* Segmentation of FLIR Images: A Comparative Study
* Survey and Evaluation of FLIR Target Detection/Segmentation Algorithms, A
Flow Fields
[Provide a short definition]
Section: Computation for Vector Fields, Flow Fields (H4)
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Flow Histogram
[Provide a short definition]
Section: Optical Flow Field Computations and Use (H)
* Qualitative Description of Camera Motion and Scene Depth from Histograms of Normal Flow
Flow
[Provide a short definition]
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Fingerprint Features, Ridges, Flow, Orientation Based (H3)
Fluid Flow
[Provide a short definition]
Section: Fluid Flow, Fluid Motion, Visualization for Flow, Fluids (H2)
Section: Optical Flow Field Computations and Use (H)
Fluorescence
[Provide a short definition]
Section: Fluorescence Analysis, Microscopic Analysis, Cells (H3)
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
* Multicolour Analysis and Local Image Correlation in Confocal Microscopy
fMRI
[Provide a short definition]
Section: Functional Magnetic Resonance, fMRI (H3)
Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
Focus of Attention
[Provide a short definition]
Section: 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
[Provide a short definition]
Section: Focus of Expansion and Other Features (H2)
Section: Optical Flow Field Computations and Use (H)
Focusing
[Provide a short definition]
Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
Section: Depth and Shape from Focus, Changing Camera Parameters (H1)
Font Recognition
[Provide a short definition]
Section: Font Recognition, Multiple Fonts, Script Type, etc. (H3)
Section: OCR, Document Analysis and Character Recognition Systems (H)
Football
* *SportVision
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Foreground
[Provide a short definition]
Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: Grouping, Figure-Ground, Background, Foreground (H2)
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
Section: Object Extraction, Object Detection for Database Indexing (H4)
Forensic Analysis
[Provide a short definition]
Section: Forensic Analysis, Pathology (H2)
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
Forest Fires
[Provide a short definition]
Section: Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR (H)
Section: Forest Fire Evaluation, Wildfire Analysis, Fire Detection, Fire Damage Assessment (H3)
Forest
[Provide a short definition]
Section: Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR (H)
Section: Forest Analysis, Depth, LiDAR, Laser Scanner, IFSAR (H4)
Section: Forest Extraction, Forest Analysis (H3)
Section: Forest Fire Evaluation, Wildfire Analysis, Fire Detection, Fire Damage Assessment (H3)
Section: Trees, Forest, Stem Volume, Biomass Measurements (H3)
Form Analysis
[Provide a short definition]
Section: Extract Data from Specific Forms (H3)
Section: Form and Layout Analysis (H2)
Section: OCR, Document Analysis and Character Recognition Systems (H)
Section: Specific Examples: Extract Titles, Table of Contents, Citation, Information from Papers and Books (H4)
Fourier Descriptors
[Provide a short definition]
* 3-Dimensional Aircraft Recognition Using Fourier Descriptors
Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
Section: Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR (H)
Section: Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Fourier Descriptors, DFT, FFT Computation, Use, Frequency Analysis (H2)
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
Section: Matching Fourier Descriptors, Fourier Shape Descriptors (H3)
Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
Section: 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
[Provide a short definition]
Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: Fourier Descriptors, DFT, FFT Computation, Use, Frequency Analysis (H2)
Section: Image Registration, Fourier Transform, Spectral Domain Matching (H4)
Section: Matching Fourier Descriptors, Fourier Shape Descriptors (H3)
Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* Spatio-Frequency Trade-Off Scale for Scale-Space Filtering, A
7 for Fourier Transform
Fourier
[Provide a short definition]
Section: Fourier Analysis, Frequency Spectrum Restoration (H2)
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Fourier, 3D
* 3D Invariant Estimation of Axisymmetrical Objects Using Fourier Descriptors
Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Foveal Sensing
[Provide a short definition]
Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
Section: Active Vision: Foveal Sensing (H2)
Foveal Sensor
[Provide a short definition]
Section: 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
[Provide a short definition]
Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: Fractal Based Coding and Compression, Fractal Coding, Fractal Compression (H3)
Section: Fractal Representations, Fractal Dimension (H2)
Section: Fractal Texture Segmentation (H2)
Section: Fractals for Texture Analysis and Description, Fractal Dimension (H2)
Section: 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
Free-Viewpoint Video
[Provide a short definition]
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Image Based Rendering, View Generation for Video, Free-Viewpoint Video, Retargeting (H3)
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
Section: View Generation for Video, Free-Viewpoint Video, Stereo and Depth Aided (H4)
* Objective Quality Assessment in Free-Viewpoint Video Production
Frequency Domain
[Provide a short definition]
Section: 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
[Provide a short definition]
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Real-time Optically Processed Face Recognition System Based on Arbitrary Moire Contours
Function-Based Recognition
[Provide a short definition]
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
Section: Recognition by Function (H2)
Functional Minimization
[Provide a short definition]
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Active Volumes, Deformable Solids, 3-D Snakes, etc. (H1)
* 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
[Provide a short definition]
Section: Functional Magnetic Resonance, fMRI (H3)
Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
Fundamental Matrix
[Provide a short definition]
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
Section: Fundamental Matrix Computation and Use (H2)
Section: 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
[Provide a short definition]
Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
Section: Retinal Images, Analysis of Eye, etc. (H1)
Fusion
[Provide a short definition]
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Fusion of Medical Data (H3)
Section: Fusion, Radar Data, SAR Data (H3)
Section: Fusion, Range and Intensity or Color Data (H3)
Section: Image and Sensor Fusion -- IR and Thermal (H3)
Section: Image and Sensor Fusion -- Review and Survey Articles, Evaluations (H3)
Section: Image and Sensor Fusion for Cartography and Aerial Images, Satellite Images, Remote Sensing (H3)
Section: Information Fusion, Sensor Fusion (H3)
Section: Integration of Different Shape-from-X Cues (H1)
Section: Integration of Vision Modules (H2)
Section: Integration over a Sequence (H2)
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
Section: Motion Analysis --Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
Section: Motion with Optical Flow and Depth (H2)
Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
Section: Shape Computations from Multiple Sensors (H1)
Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
* Information Fusion in Biometrics
18 for Fusion
Fusion, Biometrics
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Reduced Multivariate Polynomial Model for Multimodal Biometrics and Classifiers Fusion, A
Fusion, Modules
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Integration of Vision Modules: A Game-Theoretic Framework
Fusion, Multiple Views
Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
Section: MOSAIC System -- Herman (H2)
Section: Three-Dimensional Reconstruction from Different Views (H1)
Fusion, Shape
Section: Shape from Two or More Properties (H1)
Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
Fusion, Stereo and Texture
Section: 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
[Provide a short definition]
Section: Fuzzy Clustering, Cluster Validity Tests (H3)
Section: Fuzzy Clustering, Fuzzy Classification Techniques (H2)
Section: Fuzzy Clustering, Overview, Summary, Comparisons (H3)
Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
Fuzzy Logic
[Provide a short definition]
Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
Section: Fuzzy Sets, Fuzzy Logic (H4)
Section: 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
[Provide a short definition]
Section: Fuzzy Sets, Fuzzy Logic (H4)
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Distances Between Fuzzy Sets
* Fuzzy Sets
Fuzzy Theory
[Provide a short definition]
Section: OCR, Document Analysis and Character Recognition Systems (H)
* Invariant Handwritten Chinese Character-Recognition Using Fuzzy Ring Data