Keywords f

Fabrics Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
Section: Inspection -- Textiles, Fabrics, Fibers (H3)

Facades Section: Building Facades, Ground Level Images (H2)
Section: Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR (H)

Face Alignment Section: Face Alignment, Registration, Recognition, 3-D Models (H4)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)

Face Analysis 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 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 Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Face Retrieval, Face Databases, Retrieval of Faces (H2)

Face Detection 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 Hallucination Section: Face Hallucination for Recognition Using Three-Dimensional Models (H4)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)

Face Images 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 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 Section: Face Pose, Head Pose from Stereo, Multi-View, Depth, or Range Data (H3)
Section: Face Pose, Head Pose (H2)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)

Face Recognition 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: Biometrics, Gesture, Face, People Analysis (H3)
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, FAU, FACS (H4)
Section: Face Alignment, Registration, Recognition, 3-D Models (H4)
Section: Face Analysis -- Age Variations and Related Analysis (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 -- Kinship Analysis, Relationships (H2)
Section: Face Analysis, Evaluations, Benchmarks, Databases of Images (H2)
Section: Face Analysis, General Papers, Surveys (H3)
Section: Face Analysis, Local Binary Patters for Face Recognition (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 Hallucination for Recognition Using Three-Dimensional Models (H4)
Section: Face Recognition at a Distance, In the wild, In-the-Wild (H3)
Section: Face Recognition from Video, Faces in Video (H3)
Section: Face Recognition Systems from Single Example, One Sample, One Shot (H3)
Section: Face Recognition Systems Using Neural Networks, Learning (H2)
Section: Face Recognition Systems (H2)
Section: Face Recognition Using Models (H3)
Section: Face Recognition Using Three-Dimensional Models, 3-D Models (H3)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Face Recogniton, Stereo Based, Multiple Images (H4)
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, Sparse Representations (H4)
Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
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: Singular Value Decompostion, SVD in Face Recognition (H4)
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
* Prototype-based class-specific nonlinear subspace learning for large-scale face verification
* 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
61 for Face Recognition

Face Super Resolution 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 Synthesis 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 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)

Face, ICA Section: ICA, PCA in Face Recognition (H4)
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)

Face, PCA Section: ICA, PCA in Face Recognition (H4)
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)

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

Faces, Expression Section: Applied Face Expression Recognition, Specific Expressions (H4)
Section: Face Action Units for Expressions and Motion Analysis, FAU, FACS (H4)
Section: Face Expression Recognition and Analysis, Facial Expression Analysis, Facial Expressions (H3)
Section: Face Expression Recognition for Human Comupter Interaction (H4)
Section: Face Expression Recognition for Pain (H4)
Section: Face Expression Recognition for Stress (H4)
Section: Face Expression Recognition from a Single Image (H4)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Micro Expressions, Subtle Expressions, Face Expression Recognition (H4)
Section: Sptatio-Temporal Analysis for Face Expression Recognition (H4)
Section: Three-Dimensional Face Expression Recognition and Analysis (H4)
11 for Faces, Expression

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)

Faces, Tracking Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Facial Feature Tracking for Expressions (H4)

Facet Model 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 Action Units Section: Face Action Units for Expressions and Motion Analysis, FAU, FACS (H4)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)

Facial Animation 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 Section: Applied Face Expression Recognition, Specific Expressions (H4)
Section: Face Action Units for Expressions and Motion Analysis, FAU, FACS (H4)
Section: Face Expression Recognition and Analysis, Facial Expression Analysis, Facial Expressions (H3)
Section: Face Expression Recognition for Human Comupter Interaction (H4)
Section: Face Expression Recognition for Pain (H4)
Section: Face Expression Recognition for Stress (H4)
Section: Face Expression Recognition from a Single Image (H4)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Facial Feature Tracking for Expressions (H4)
Section: Micro Expressions, Subtle Expressions, Face Expression Recognition (H4)
Section: Sptatio-Temporal Analysis for Face Expression Recognition (H4)
Section: Three-Dimensional Face Expression Recognition and Analysis (H4)
12 for Facial Expressions

Facial Features 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

Facial Landmarks 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 Facial Features (H3)
Section: Finding Three-Dimensional Facial Features, 3-D Face Features (H4)

FACS Definition:* Facial Action Coding System.
Section: Face Action Units for Expressions and Motion Analysis, FAU, FACS (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 Section: FAX, Facsimile Coding Techniques (H3)
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)

Factorization Section: Matrix Factorization, General Issues (H3)
Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)

Factorization, Motion Section: Matrix Factorization Approach to Motion and Structure (H2)
Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
Section: Motion with Matrix Factorization, Missing Data Issues, Articulated Motion (H3)

Fall Detection Section: Human Safety, Falling, Drowning, Underwater, Home Care, Smart Home (H4)
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)

Fan-Beam Tomography Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
Section: Tomographic Image Generation, Cone-Beam, Fan-Beam, Helical, Spiral Reconstruction (H2)

Farsi Section: Farsi, Persian Character Recognition (H3)
Section: OCR, Document Analysis and Character Recognition Systems (H)

Fashions Section: Clothing Styles, Fashion Related (H3)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)

Fast Algorithms 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 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 Section: Optical Flow Field Computations and Use (H)
* Extracting Structure from Optical Flow Using the Fast Error Search Technique

FAU Section: Face Action Units for Expressions and Motion Analysis, FAU, FACS (H4)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)

Faults Section: Motor Faults, Engine Faults, Electrical Faults, Vibrations, Vehicles (H2)
Section: New Unsorted Entries, and Other Miscellaneous Papers (H)

FAX Section: FAX, Facsimile Coding Techniques (H3)
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)

Feature Based Motion Section: General Feature Based Motion (H1)
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)

Feature Computation 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 Section: Neural Networks for Shapes and Complex Features (H3)
Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)

Feature Detection Section: Filters for Detecting Specific Features (H2)
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)

Feature Extraction 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 Section: Database Indexing Using Bag of Words, Bag of Features (H3)
Section: Database Indexing Using Various Features, Multiple 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 Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: Evaluation of Salient Point, Interest Point Detection (H3)
Section: Interest Operators, Interest Points, Feature Points, Salient Points (H2)
Section: Rotation Invariant Features (H3)
Section: Scale Invariant Features, SIFT, SURF (H3)

Feature Selection Section: Feature Selection in Pattern Recognition or Clustering (H2)
Section: Feature Selection using Search and Learning (H3)
Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
Section: Support Vector Machines, SVM, Feature Selection (H3)
Section: Unsupervised Feature Selection (H3)
* Feature Selection and Extraction
* Note on Optimum Feature Selection and Pattern Classification, A
7 for Feature Selection

Feature Tracking Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* Multiple hypothesis tracking in cluttered condition

Features 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)

Feedback Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
Section: Interactive Retrieval, Browsing Based Retrieval (H4)
Section: Relevance Feedback, Personal Photo Collections (H4)
Section: Reranking in Query, Relevance Feedback (H4)
Section: User Feedback, Learning in the Query, Relevance Feedback (H4)
Section: User Interaction, Relevance Feedback, External Information (H3)

Femur Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
Section: Medical Applications, Femur Analysis, Bone (H3)

FFT Computation Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: Fourier Descriptors, DFT, FFT Computation, Use, Frequency Analysis (H2)

Fibers Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
Section: Inspection -- Textiles, Fabrics, Fibers (H3)

Fiducial Markers Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: Fiducial Markers Design, Detection and Analysis (H3)

Figure-Ground separation 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

Film Restoration Section: Applied Restoration, Restore Old Films, and Hardware and Systems (H2)
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)

Filter Implementation Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Section: Implementation, Algorithms and Design of Filters (H2)

Filter Techniques Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
Section: Target Tracking Techniques, Filter Techniques (H4)

Filters for Matching Section: Principal Component Decompositions, Point features (H2)
Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)

Filters 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)

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

Finding People Section: Database Issues, Finding People (H2)
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)

Fine-Grained Section: Captioning, Image Captioning (H2)
Section: Context, Fine-Grained Classification (H3)
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)

Finger Spelling Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Sign Language, Fingerspelling (H4)

Finger Vein Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Finger Veins, Recognition and Extraction (H3)

Fingerprint Recognition 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 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 Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* Modal Matching for Correspondence and Recognition

Fire Detection Section: Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR (H)
Section: Forest Fire Evaluation, Wildfire Analysis, Fire Detection, Fire Damage Assessment (H3)
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 Calibration Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
Section: Catadioptric, Omnidirectional Camera Calibration, Fisheye Lens (H3)

Fish Eye Lens 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 Section: Agriculture, Inspection -- Fish, Fish Motion, Detection (H4)
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)

Fisher Discriminant 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 Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
Section: Catadioptric, Omnidirectional Camera Calibration, Fisheye Lens (H3)

Flame Detection 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 Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* Flexible Color Point Distribution Models

FLIR 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

Flood Analysis Section: Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR (H)
Section: Flood Analysis, Damage Assessment (H4)

Flow Fields Section: Computation for Vector Fields, Flow Fields (H4)
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)

Flow Histogram Section: Optical Flow Field Computations and Use (H)
* Qualitative Description of Camera Motion and Scene Depth from Histograms of Normal Flow

Flow Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Fingerprint Features, Ridges, Flow, Orientation Based (H3)

Flowers Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
Section: Plants, Flowers, Flower Shape, Flower Color (H4)

Fluid Flow Section: Fluid Flow, Fluid Motion, Visualization for Flow, Fluids (H2)
Section: Optical Flow Field Computations and Use (H)

Fluorescence Microscopy Section: Fluorescence Analysis, Microscopic Analysis, Cells (H3)
Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)

Fluorescence Tomography Section: Fluorescence Tomography, X-ray Fluorescence Computed Tomography XFCT (H2)
Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)

Fluorescence 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 Section: Functional Magnetic Resonance, fMRI (H3)
Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)

Focal Length Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
Section: Zoom Lens Calibration, Focal Lengths (H3)

Focus of Attention 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 Section: Focus of Expansion and Other Features (H2)
Section: Optical Flow Field Computations and Use (H)

Focus Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: Radar, SAR, Autofocus, Focus (H2)

Focusing 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)

Fog Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
Section: Fog, Fog Detection, Driver Assistance (H4)

Font Recognition Section: Font Recognition, Multiple Fonts, Script Type, etc. (H3)
Section: OCR, Document Analysis and Character Recognition Systems (H)

Food Inspection Section: Agriculture, Inspection -- Food Products, Plants, Farms (H3)
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)

Football * *SportVision
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)

Foreground Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: Foreground Object Extraction, Object Models (H4)
Section: Grouping, Figure-Ground, Background, Foreground (H2)
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
Section: Object Extraction, Object Detection for Database Indexing (H4)

Forensic Analysis * *Advanced Simulation Technologies Ltd.
Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: Forensic Analysis, Pathology (H2)
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
Section: Shoeprint Analysis (H2)

Forensics Section: OCR, Document Analysis and Character Recognition Systems (H)
Section: Tamper Detection, Forensics (H3)

Forest Canopy Section: Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR (H)
Section: Trees, Forest Canopy Analysis (H3)

Forest Fires Section: Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR (H)
Section: Forest Fire Evaluation, Wildfire Analysis, Fire Detection, Fire Damage Assessment (H3)

Forest Section: Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR (H)
Section: Forest Analysis, Canopy Heights, LiDAR (H4)
Section: Forest Analysis, Depth, LiDAR, Laser Scanner, IFSAR (H4)
Section: Forest Change Evaluation, Change Detection, Temporal Analysis (H3)
Section: Forest Extraction, Forest Analysis (H3)
Section: Forest Fire Evaluation, Wildfire Analysis, Fire Detection, Fire Damage Assessment (H3)
Section: Mangrove Analysis (H3)
Section: Trees, Forest Canopy Analysis (H3)
Section: Trees, Forest, Stem Volume, Biomass Measurements (H3)
9 for Forest

Forgery Detection Section: Forgery Detection for Images (H3)
Section: OCR, Document Analysis and Character Recognition Systems (H)

Form Analysis Section: Extract Data from Specific Forms (H3)
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 * 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 Features Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Fourier Features for Facial Recognition (H4)

Fourier Transform 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 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 Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
Section: Active Vision: Foveal Sensing (H2)

Foveal Sensor 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 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

Fractional Vegetation Section: Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR (H)
Section: Surface Fractional Vegetation Cover (H3)

Fragile Watermarks Section: Fragile Watermarks (H3)
Section: OCR, Document Analysis and Character Recognition Systems (H)

Frame Interpolation Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
Section: Video Frame Interpolation -- Interpolation Operations (H4)

Frame Rate Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
Section: Video Frame Rate Up-Conversion (H3)

Free-Viewpoint Video 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 (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

Free Space Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
Section: Free Space Computations, Free Space Analysis (H3)

Frequency Domain 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 Lens Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
* Fresnel lens imaging with post-capture image processing

Fresnel Zone Plate Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Real-time Optically Processed Face Recognition System Based on Arbitrary Moire Contours

Fruit Section: Fruit Detection, Fruit Inspection, Apples, Oranges (H4)
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)

Function-Based Recognition Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
Section: Recognition by Function (H2)

Functional Minimization 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 Section: Functional Magnetic Resonance, fMRI (H3)
Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)

Fundamental Matrix 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 Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
Section: Retinal Images, Analysis of Eye, etc. (H1)
Section: Retinal Mosaic Generation (H3)

Fusion Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Fusion of Medical Data, Medical Image Fusion (H3)
Section: Fusion, Radar Data, SAR Data (H3)
Section: Fusion, Range or Depth and Intensity or Color Data (H3)
Section: Image and Sensor Fusion -- General (H2)
Section: Image and Sensor Fusion -- IR and Thermal with Visible (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, Select Operations (H2)
Section: Integration over a Sequence, Incremental Recovery (H2)
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: 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)
Section: Target Tracking Techniques, Multiple Trackers, Multiple Models, Fusion (H4)
Section: Using Wavelets for Detection, Recognition, Fusion (H3)
* Information Fusion in Biometrics
23 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 Section: Fuzzy Clustering, Cluster Validity Tests (H3)
Section: Fuzzy Clustering, Fuzzy Classification Techniques, Fuzzy C-Means (H2)
Section: Fuzzy Clustering, Overview, Summary, Comparisons (H3)
Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)

Fuzzy Logic 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 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 Section: OCR, Document Analysis and Character Recognition Systems (H)
* Invariant Handwritten Chinese Character-Recognition Using Fuzzy Ring Data

Index for "g"


Last update:22-Sep-17 21:59:31
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