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, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Face Alignment
Section: Face Alignment, Registration, 3-D Models (H4)
Section: Face Alignment, Registration, Recognition (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: Emotions in Face Animation, Video Face Synthesis (H4)
Section: Face Animation, Video Face Synthesis (H3)
Section: Facial Expressions in Face Animation, Video Face Synthesis (H4)
Section: Talking Heads, Speech Driven Face Animation (H3)
Face Authentication
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Face Verification, Authentication, Evaluations, Verification Benchmarks (H3)
Face Completion
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Inpainting Face Images, Facial Images (H4)
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 (H3)
* Face Detection and Gesture Recognition for Human-Computer Interaction
* Fast Asymmetric Learning for Cascade Face Detection
11 for Face Detection
Face Editing
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Face Image Editing, Portrait Editing, Interactive Editing (H4)
Face Forgery
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Face Forgery (H4)
Face Hallucination
Section: Face Hallucination for Recognition Using Three-Dimensional Models (H4)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Face Image
Section: Face Image Quality (H3)
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (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 Inpainting
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Inpainting Face Images, Facial Images (H4)
Face Localization
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Localizing a Face in an Image, Face Localization (H3)
Face Mask
Section: Face Recognition Systems, Occlusions, Masks (H3)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
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)
Section: Face Three-Dimensional Model Generation for Recognition, 3-D Models (H4)
* 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: Bias in Face Analysis, Evaluaions, Fairness (H3)
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, 3-D Models (H4)
Section: Face Alignment, Registration, Recognition (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, Facial Landmarks (H3)
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, Lighting 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, Low Resolution Faces (H3)
Section: Face Recognition from Video, Faces in Video, Chellappa Group Papers (H4)
Section: Face Recognition from Video, Faces in Video (H3)
Section: Face Recognition Systems for Phones, Mobile Devices (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, Occlusions, Masks (H3)
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: Face Three-Dimensional Model Generation for Recognition, 3-D Models (H4)
Section: Face Verification, Authentication, Evaluations, Verification Benchmarks (H3)
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 -- Nasal Features, Nose 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: Thermal, Infrared Face Recognition (H3)
* 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
70 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 Swapping
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Face Swapping (H4)
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)
Section: Face Synthesis, GAN, Generative Adversarial Network (H4)
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 Verification
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Face Verification Systems, Face Authentication (H3)
Section: Face Verification, Authentication, Evaluations, Verification Benchmarks (H3)
* FERET Verification Testing Protocol for Face Recognition Algorithms, The
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
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Inpainting Face Images, Facial Images (H4)
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: Deep Learning Facial Expression Recognition (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 Expression Recognition Using Learning, Neural Nets (H4)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Micro Expressions, Subtle Expressions, Face Expression Recognition (H4)
Section: Multi-View Face Expression Recognition and Analysis (H4)
Section: Sptatio-Temporal Analysis for Face Expression Recognition (H4)
Section: Three-Dimensional Face Expression Recognition and Analysis (H4)
14 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 Beauty
Section: Face Analysis -- Attractiveness, Beauty, Subjective Analysis (H2)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Facial Expressions
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Applied Face Expression Recognition, Specific Expressions (H4)
Section: Deep Learning Facial Expression Recognition (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 Expression Recognition Using Learning, Neural Nets (H4)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Facial Expressions in Face Animation, Video Face Synthesis (H4)
Section: Facial Feature Tracking for Expressions (H4)
Section: Micro Expressions, Subtle Expressions, Face Expression Recognition (H4)
Section: Spontaneous Extpressions (H4)
Section: Sptatio-Temporal Analysis for Face Expression Recognition (H4)
Section: Three-Dimensional Face Expression Recognition and Analysis (H4)
17 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 -- High Level Facial Features, Sketches (H3)
Section: Face Analysis, Facial Landmarks (H3)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
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)
Fake News
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Deepfakes, Face Synthesis, Fake News, Generation, Detection (H4)
Fakes
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Deepfakes, Face Synthesis, Fake News, Generation, Detection (H4)
Fall Detection
Section: Human Safety, Falling, Fall Detection, Home Care, Smart Home (H4)
Section: Motion -- Human Motion, Surveillance, 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)
FAPAR
Section: FAPAR: Fraction of Absorbed Photosynthetically Active Radiation, FPAR (H3)
Section: Remote Sensing General Issue, Land Use, Land Cover (H)
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
Fatigue
Section: Driver Fatigue (H4)
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
FAU
Section: Face Action Units for Expressions and Motion Analysis, FAU, FACS (H4)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Fault Zones
Section: Geologic Mapping, Geology Analysis, Mineralogy, Fault Zones (H1)
Section: Remote Sensing General Issue, Land Use, Land Cover (H)
Faults
Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Section: Motor Faults, Engine Faults, Electrical Faults, Vibrations, Vehicles (H2)
Section: New Unsorted Entries, and Other Miscellaneous Papers (H)
Section: Surface Deformation From SAR Applied to Earthquakes, Fault Monitoring (H4)
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)
Section: Recurrent Neural Networks for Shapes and Complex Features, RNN (H4)
Section: Residual Neural Networks, ResNet (H4)
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: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Computation of General Features (H1)
Section: Curvature and Features of Surfaces and Range Data (H2)
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)
Section: Point Cloud Classification (H3)
* Fuzzy Substroke Extractor for Handwritten Chinese Characters, A
* Online Shape-Recognition with Incremental Training Using Binary Synaptic Weights Algorithm
10 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, ASIFT (H3)
Feature Ranking
Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
Section: Ranking (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: Sparse Feature Selection (H3)
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
8 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)
Federated Learning
Section: Federated Learning (H4)
Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
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, Re-Ranking (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)
Few-Shot Detection
Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: One-Shot Object Detection, Single Shot Detector, and Segmentation (H3)
Few-Shot Learning
Section: Deep Few Shot Learning (H3)
Section: Few Shot Learning (H2)
Section: Fine Tuning, Fine-Tuning, Pre-Training, Zero-Shot, One-Shot (H3)
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
Section: Motion -- Human Motion, Surveillance, Tracking, Surveillance, Activities (H)
Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
Section: Zero-Shot, One-Shot, Few-Shot Learning for Human Action Recognition (H4)
7 for Few-Shot Learning
Few-Shot
Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
Section: Single-Shot, Few-Shot Instance Segmentation (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)
Fiber Tractography
Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
Section: White Matter Fiber Tractography MRI (H3)
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)
Field Extraction
Section: Agricultural Field Extraction (H4)
Section: Remote Sensing General Issue, Land Use, Land Cover (H)
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, Correlation (H3)
Filters for Matching
Section: Principal Component Decompositions, Point features (H2)
Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
Filters
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: Filter Approaches to Texture (H2)
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
9 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, Business Systems (H2)
Section: New Unsorted Entries, and Other Miscellaneous Papers (H)
Finding People
Section: Actor Identification (H3)
Section: Database Issues, Finding People (H2)
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
Fine-Grained Vehicle
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
Section: Vehicle Make or Model or Type Recogniton (H4)
Fine-Grained
Section: Captioning, Image Captioning (H2)
Section: Context, Fine-Grained Classification (H3)
Section: Fine-Grained Classification Using CNN, Convolutional Neural Networks (H4)
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
Fine Tuning
Section: Fine Tuning, Fine-Tuning, Pre-Training, Zero-Shot, One-Shot (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: Cancelable Fingerprint Template, Recognition, Analysis, Systems (H3)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Fingerprint Features, Minutiae, Ridges (H2)
Section: Fingerprint Features, Ridges, Flow, Orientation Based (H3)
Section: Fingerprint Features, Singular Points (H2)
Section: Fingerprint Recognition Methods (H1)
Section: Fingerprint Systems, Overviews, Comparisons, Evaluation (H2)
Section: Fingerprint Unrolling, Image Enhancement and Compression (H2)
Section: Liveness Detection, Spoofing, Fingerprint Recognition (H3)
* Evaluation of Pattern Classifiers for Fingerprint and OCR Applications
* Fingerprint Classification Using a Hexagonal Fast Fourier-Transform
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Finiancial Data
Section: GIS: Economic Data Analysis and Representation (H2)
Section: Remote Sensing General Issue, Land Use, Land Cover (H)
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, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Section: Forest Fire Evaluation, Wildfire Analysis, Brushfire Analysis, Fire Detection (H3)
Section: Motion -- Human Motion, Surveillance, Tracking, Surveillance, Activities (H)
Section: Surveillance Systems, Applied to Fire and Flame Detection (H3)
* Spectral imaging method and apparatus
Fire Risk
Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Section: Forest Fire Prediction, Fire Hazard, Mitigation, Risk, Susceptibility (H4)
Section: Fuel Load for Forest Fire Prediction (H4)
Fires
Section: Burned Area Detection, Fire Damage Assessment, Post-Fire Analysis (H4)
Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
First Person
Section: Egocentric Human Action Recognition, First Person, Wearable Monitoring (H4)
Section: Motion -- Human Motion, Surveillance, Tracking, Surveillance, Activities (H)
Fish-Eye Lens Calibration
Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
Section: Catadioptric, Omnidirectional Camera Calibration, Fisheye Lens (H3)
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)
Fisheye 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
Flame Detection
Section: Motion -- Human Motion, Surveillance, 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, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Section: Coastal, Tidal Flood Analysis, Storm Surge (H4)
Section: Flood Analysis, Flood Mapping, Flood Monitoring (H3)
Section: Flood Damage Analysis, Impacts, Economic (H4)
Section: Flood Risk Analysis, Flood Hazard Assessment, Susceptibility (H4)
Section: SAR and Radar for Flood Analysis, Flood Mapping, Flood Monitoring (H4)
Section: Tsunami Detection, Analysis, Warning, Disaster (H4)
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Flood Damage
Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Section: Flood Damage Analysis, Impacts, Economic (H4)
Flood Risk
Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Section: Flood Risk Analysis, Flood Hazard Assessment, Susceptibility (H4)
Flood Susceptibility
Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Section: Flood Risk Analysis, Flood Hazard Assessment, Susceptibility (H4)
Floodplain
Section: Floodplains, Riverside (H3)
Section: Remote Sensing General Issue, Land Use, Land Cover (H)
Floorplans
Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Section: Floorplans, Floor Plans, Building Interiors (H3)
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 Prediction
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
Section: Traffic Flow Prediction, Forecast (H4)
Flow
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Fingerprint Features, Ridges, Flow, Orientation Based (H3)
Section: Motion -- Human Motion, Surveillance, Tracking, Surveillance, Activities (H)
Section: Motion Flow, Motion Vectors for Human Action Recognition and Detection (H4)
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: fMRI Brain Activity Detction (H3)
Section: fMRI for Brain Connectivity Analysis (H3)
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: Multi-Focus Fusion, Multi-Focal Fusion (H3)
Section: Radar, SAR, Autofocus, Focus (H2)
Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
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)
Section: Focusing, Autofocus, Auto Focus (H2)
Fog
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: Fog Removal, Defogging (H4)
Section: Fog, Fog Detection, Mist, Visibility, Driver Assistance (H4)
Follow
Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
Section: Car Following Control, Leader-Follower Control (H4)
Font Generaton
Section: Font Generation, Font Synthesis, Multiple Fonts (H4)
Section: OCR, Document Analysis and Character Recognition Systems (H)
Font Recognition
Section: Font Generation, Font Synthesis, Multiple Fonts (H4)
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)
Section: Inspection of Food Grains (H4)
Food
Section: Food Descriptions, Dishes, Recipe Generation (H4)
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)
Section: Football, Soccer, Tracking, Desctiptions, Analysis (H4)
Section: Motion -- Human Motion, Surveillance, Tracking, Surveillance, Activities (H)
Footprint, Building
Section: Building Footprints (H3)
Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Footstep
Section: Footstep Analysis (H4)
Section: Motion -- Human Motion, Surveillance, Tracking, Surveillance, Activities (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, Image Manipulation Detection, Forensics (H3)
Forest Analysis
Section: Forest Area Snow Cover, Forest Canopy Impacts on Snow Measurements (H3)
Section: Remote Sensing General Issue, Land Use, Land Cover (H)
Forest Canopy
Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Section: Trees, Forest Canopy Analysis (H3)
Forest Changes
Section: Burned Area Detection, Fire Damage Assessment, Post-Fire Analysis (H4)
Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Section: Forest Change Evaluation, Bark Beetle, Pine Shoot Beetle, Other Insects (H4)
Section: Forest Change Evaluation, Change Detection, Temporal Analysis (H3)
Section: Forest Disturbance, Regeneration, Regrowth (H3)
Section: Forest Storm Damage Assessment, Wind Throw (H4)
Forest Disturbance
Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Section: Forest Disturbance, Regeneration, Regrowth (H3)
Forest Fires
Section: Burned Area Detection, Fire Damage Assessment, Post-Fire Analysis (H4)
Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Section: Forest Fire Evaluation, Wildfire Analysis, Brushfire Analysis, Fire Detection (H3)
Section: Forest Fire Prediction, Fire Hazard, Mitigation, Risk, Susceptibility (H4)
Section: Fuel Load for Forest Fire Prediction (H4)
Section: Smoke from Forest Fires, Smoke from Wildfires (H4)
Forest Regeneration
Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Section: Forest Disturbance, Regeneration, Regrowth (H3)
Forest
Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Section: Eucalypt Trees, Eucalyptus (H3)
Section: Forest Analysis, Canopy Heights, LiDAR (H4)
Section: Forest Analysis, Depth, LiDAR, Laser Scanner (H4)
Section: Forest Analysis, IFSAR, SAR, Radar (H4)
Section: Forest Analysis, Terrestrial Laser Scanner, Terrestrial LiDAR, TLS (H4)
Section: Forest Change Evaluation, Bark Beetle, Pine Shoot Beetle, Other Insects (H4)
Section: Forest Change Evaluation, Change Detection, Temporal Analysis (H3)
Section: Forest Disturbance, Regeneration, Regrowth (H3)
Section: Forest Extraction, Forest Analysis, Sentinel Based (H4)
Section: Forest Extraction, Forest Analysis (H3)
Section: Forest Fire Evaluation, Wildfire Analysis, Brushfire Analysis, Fire Detection (H3)
Section: Forest Storm Damage Assessment, Wind Throw (H4)
Section: Mangrove Analysis, Swamps, Coasts, Trees (H3)
Section: Tree Species Determination, Forest Analysis (H4)
Section: Trees, Forest Canopy Analysis (H3)
Section: Trees, Forest, Stem Volume, Aboveground Biomass Measurements (H3)
Section: Tropical Forest Analysis (H4)
18 for Forest
Forgery Detection
Section: Copy-Move Tamper Detection, Splicing, Forensics (H3)
Section: Forgery Detection for Images (H3)
Section: OCR, Document Analysis and Character Recognition Systems (H)
Forgery
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Face Forgery (H4)
Forgetting
Section: Forgetting, Learning without Forgetting, Convolutional Neural Networks (H4)
Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (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)
Formation Tracking
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
Section: Tracking Formations, Groups, Multi-Object Tracking (H4)
Formula Recognition
Section: Formulas, Equations, Mathematical Expressions, Mathematical Symbols (H3)
Section: OCR, Document Analysis and Character Recognition Systems (H)
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, Buildings, Roads, Terrain, Forests, Trees, 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 Moments
Section: Fourier Moments, Use, Computation (H3)
Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
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: Fourier Moments, Use, Computation (H3)
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
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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 -- Human Motion, Surveillance, Tracking, Surveillance, Activities (H)
* Indoor Monitoring Via the Collaboration Between a Peripheral Sensor and a Foveal Sensor
FPAR
Section: FAPAR: Fraction of Absorbed Photosynthetically Active Radiation, FPAR (H3)
Section: Remote Sensing General Issue, Land Use, Land Cover (H)
FPGA
Section: Hardware Implementations, FPGA, Image Processing (H3)
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
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
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Fractional Vegetation
Section: Remote Sensing General Issue, Land Use, Land Cover (H)
Section: Surface Fractional Vegetation Cover, FVC (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 -- Human Motion, Surveillance, Tracking, Surveillance, Activities (H)
Section: View Generation for Video, Free-Viewpoint Video, Stereo and Depth Aided (H4)
Section: View Interpolation for Image Based Rendering (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)
Freeze-Thaw
Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Section: Freeze-Thaw, Freeze/Thaw 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
Frescoes
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Specific 3-D Models, Paintings, Murals, Frescoes (H2)
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
Frontalization
Section: Face Frontalization (H4)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Fruit
Section: Fruit Detection, Fruit Inspection, Apples, Oranges (H4)
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
Fuel Load
Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Section: Fuel Load for Forest Fire Prediction (H4)
Full-Reference Quality
Section: Full-Reference Image Quality Evaluation (H3)
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Function-Based Recognition
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
Section: Recognition by Function, By Use, Affordance (H2)
Functional Area
Section: Remote Sensing General Issue, Land Use, Land Cover (H)
Section: Urban Functional Area Determination, Analysis (H3)
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
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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 for Multiple Classifiers (H4)
Section: Fusion of Medical Data, Medical Image Fusion (H3)
Section: Fusion, Aerial and Ground Images (H3)
Section: Fusion, General Multi-Modal (H3)
Section: Fusion, Radar Data, SAR Data with Visible Imagery (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, Sequence 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: Multi-Focus Fusion, Multi-Focal Fusion (H3)
Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
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
28 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