Backdoor Attack
Section: Backdoor Attacks (H4)
Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
Backdoor Attacks
Section: Backdoor Attacks, Robustness (H4)
Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
Background Model
Section: Background Detection, Background Model (H3)
Section: Background Models, Textured Surfaces, Regions (H4)
Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
Background Subtraction
Section: Motion -- Human Motion, Surveillance, Tracking, Surveillance, Activities (H)
Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
Section: Motion Sequence, Background Subtraction (H4)
Section: Neural Network Guided Background Subtraction, Learning Methods (H4)
* GPU-based non-parametric background subtraction for a practical surveillance system
Background
Section: Background Detection, Background Model (H3)
Section: Background Models, Textured Surfaces, Regions (H4)
Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: Dynamic Background Subtraction, Moving Camera Background Subtraction (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: Motion Sequence, Background Subtraction (H4)
Section: Motion Sequence, Color Models for Background Subtraction (H4)
Section: Moving Object Extraction, Using Models or Analysis of Regions (H3)
Section: Neural Network Guided Background Subtraction, Learning Methods (H4)
Section: Object Extraction, Object Detection for Database Indexing (H4)
12 for Background
Backprojection
Section: Backprojection in Tomographic Image Reconstruction (H3)
Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
Bacteria Extraction
Section: Extraction and Analysis Bacteria (H2)
Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
Bacteria
Section: Extraction and Analysis Bacteria (H2)
Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
Bag of Words
Section: Database Indexing Using Bag of Words, Bag of Features (H3)
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
Baggage Inspection
Section: Motion -- Human Motion, Surveillance, Tracking, Surveillance, Activities (H)
Section: Surveillance Systems, Applied to Baggage Inspection, Cargo Inspection (H3)
Bagging
Section: Bagging, Combinations, Classifiers (H4)
Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
Ball Tracking
Section: Motion -- Human Motion, Surveillance, Tracking, Surveillance, Activities (H)
Section: Sports, Line Judge, Ball Position, Ball Tracking and Enhanced Displays (H4)
Balloon Models
Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* On Active Contour Models and Balloons
Balloons
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)
Section: Balloon Models (H2)
Bamboo
Section: Bamboo Analysis, Biomass, Bamboo Forest (H4)
Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Band Selection
Section: Hyperspectral Data Band Selection (H4)
Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
Bandpass
Section: High, Low, Bandpass Filters Designs (H3)
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Bangla
Section: Devanagari, Indic, Hindi, Hindu, Bangla, Bengali, Telugu, Characters (H3)
Section: OCR, Document Analysis and Character Recognition Systems (H)
Bank Checks
Section: Money and Check Processing -- Amounts, etc. (H2)
Section: OCR, Document Analysis and Character Recognition Systems (H)
Bar Codes
Section: Bar Code Readers, Reading (H2)
Section: OCR, Document Analysis and Character Recognition Systems (H)
Barcodes
Section: Bar Code Readers, Reading (H2)
Section: OCR, Document Analysis and Character Recognition Systems (H)
Bark Beetle
Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Section: Forest Change Evaluation, Bark Beetle, Pine Shoot Beetle, Other Insects (H4)
Barley Classification
Section: Barley (H4)
Section: Remote Sensing General Issue, Land Use, Land Cover (H)
Barley Yield
Section: Barley (H4)
Section: Remote Sensing General Issue, Land Use, Land Cover (H)
Baseball
* *SportVision
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Baseball, Cricket, Tracking, Desctiptions, Analysis (H4)
Section: Motion -- Human Motion, Surveillance, Tracking, Surveillance, Activities (H)
Basketball
Section: Basketball Tracking, Desctiptions, Line Judge (H4)
Section: Motion -- Human Motion, Surveillance, Tracking, Surveillance, Activities (H)
Bathymetric
Section: Bathymetric Mapping, Analysis, Underwater Terrain (H2)
Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Section: Shallow Water Bathymetric Mapping, Analysis (H3)
Battery Swap
Section: Battery Swap, Battery Switch Electric Vehicles (H4)
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
Bayes Classifier
Section: Bayesian Clustering, Bayes Classifier (H3)
Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
Bayes Nets
Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
Section: Bayesian Clustering, Bayes Classifier (H3)
Section: Bayesian Image Restoration (H2)
Section: Bayesian Learning, Bayes Network, Bayesian Networks (H2)
Section: Bayesian Networks, Bayes Nets (H3)
Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* Active Lattice Model in a Bayesian Framework, An
* Bayesian Compatibility Model for Graph Matching, A
* Bayesian Decision-Feedback for Segmentation of Binary Images
* Bayesian Framework for Deformable Pattern Recognition with Application to Handwritten Character Recognition
* Bayesian Segmentation Methodology for Parametric Image-Models, A
* Comparative Study of Three Paradigms for Object Recognition: Bayesian Statistics, Neural Networks, and Expert Systems, A
* Decision Rule for Pattern Classification by Integrating Interval Feature Values
* Determining the Gaze of Faces in Images
* Diagnostic Reasoning Based on a Genetic Algorithm Operating in a Bayesian Belief Network
* Goal-Oriented Dynamic Vision
* Image Interpretation Using Bayesian Networks
* Integration, Inference, and Management of Spatial Information Using Bayesian Networks: Perceptual Organization
* On Compatible Priors for Bayesian Networks
* Pattern Deformation Model and Bayes Error-Correcting Recognition System, A
* Practical Reliable Bayesian Recognition of 2D and 3D Objects Using Implicit Polynomials and Algebraic Invariants
* Region Competition and its Analysis: A Unified Theory for Image Segmentation
* Structure Learning of Bayesian Networks By Genetic Algorithms: A Performance Analysis of Control Parameters
* Target Identification Comparison of Bayesian and Dempster-Shafer Multisensor Fusion, A
* Theory and Practice of Bayesian Image Labeling, The
31 for Bayes Nets
Bayes Networks
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Decision Making in Context
Bayes Neural Nets
Section: Bayesian Neural Networks (H4)
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
Bayes Restoration
Section: Bayesian Image Restoration (H2)
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Bayes
Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* K-Nearest-Neighbor Bayes Risk Estimation
Bayesian Clustering
Section: Bayesian Clustering, Bayes Classifier (H3)
Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* On Optimal Pairwise Linear Classifiers for Normal Distributions: The Two-Dimensional Case
Bayesian Learning
Section: Bayesian Learning, Bayes Network, Bayesian Networks (H2)
Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
Bayesian Optimization
Section: Bayesian Optimization (H3)
Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
BCI
Section: Brain-Computer Interface, Brain-Machine Interface, Biomimetic (H3)
Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
Beamforming
Section: Beamforming in SAR and Radar Analysis (H2)
Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Beans
Section: Remote Sensing General Issue, Land Use, Land Cover (H)
Section: Soybean Crop Analysis, Beans, Production, Detection, Health, Change (H3)
Beauty
Section: Face Analysis -- Attractiveness, Beauty, Subjective Analysis (H2)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Bee Colony
Section: Ant Colony Optimization, Bee Colony Optimization (H3)
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
Belief Propogation
Section: Evidence Theory, Combination Techniques, Optimization Techniques (H3)
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
Benchmarks
Section: Books, Collections, Overviews, General, and Surveys (H)
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)
* Abingdon Cross Benchmark Survey, The
* Benchmark Evaluation of a Model-Based Object Recognition System
* DARPA Image Understanding Benchmark for Parallel Computers, The
* Machine-Independent Image Processing: Performance of Apply on Diverse Architectures
7 for Benchmarks
Bengali
Section: Devanagari, Indic, Hindi, Hindu, Bangla, Bengali, Telugu, Characters (H3)
Section: OCR, Document Analysis and Character Recognition Systems (H)
BEV
Section: Bird's Eye View Generation, BEV (H2)
Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
Bi-Static SAR
Section: Bi-Static Radar, Bi-Static SAR (H3)
Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Bias in Recognition
Section: Bias in Face Analysis, Evaluaions, Fairness (H3)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Bibliography
Section: Bibliographical Information (H3)
Section: Books, Collections, Overviews, General, and Surveys (H)
Section: OCR, Document Analysis and Character Recognition Systems (H)
* Annotated Computer Vision Bibliography
* Document Image Understanding: 1997
* Image Analysis and Computer Vision: 1999
Bibliography, Motion
Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* Dynamic Vision
Bicycle Sharing
Section: Bicycle Sharing, Bicycle Commuting, Bike Sharing (H4)
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
Bilateral Filter
Section: Bilateral Filters (H2)
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Bilateral Symmetry
Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: Axial Descriptions (H2)
Section: Ribbon Descriptions (H2)
BIM
Section: BIM: Building Information Management (H2)
Section: Remote Sensing General Issue, Land Use, Land Cover (H)
Binarization
Section: Binarization: Threshold selection for documents, Character Enhancement (H3)
Section: OCR, Document Analysis and Character Recognition Systems (H)
Binary Clustering
Section: Binary Clustering, Two Class Classification (H3)
Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
Binary Image Processing
Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: Processing and Analysis of Binary (Two Level) Images (H1)
Binary Networks
Section: Binary Neural Networks, BNN (H4)
Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
Biomass Measurement
Section: Biomass Measurements for Individual Trees (H4)
Section: Biomass Measurements, Forest, LiDAR Techniques, Airborne Laser (H4)
Section: Biomass Measurements, Forest, TanDEM-X, SAR, Radar Measurements (H4)
Section: Biomass Measurements, Forest, Terrestial Laser Techniques, TLS (H4)
Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Section: Tree Diameter, Tree Width, Stem Diameter, Diameter at Breast Height, DBH (H4)
Section: Trees, Forest, Stem Volume, Aboveground Biomass Measurements (H3)
7 for Biomass Measurement
Biomass
Section: Biomass Evaluations Pasture, Grassland, Rangeland, Savanna (H4)
Section: Remote Sensing General Issue, Land Use, Land Cover (H)
Biometrics
* *Geometrix
Section: Biometrics, Active Recognition, Continuous Recognition, Mobile Device (H3)
Section: Biometrics, Cross-Modal, Multi-Modal Systems, Multibiometrics, Combined Face and Other Features, Fusion (H2)
Section: Biometrics, General Systems (H1)
Section: Biometrics, Gesture, Face, People Analysis (H3)
Section: Biometrics, Iris Recognition Systems (H2)
Section: Biometrics, Surveys, Analysis, Datasets, Legal Issues, Philosophy (H2)
Section: Brain Waves, EEG Analysis, Electroencephalogram for Biometrics (H3)
Section: Dental Identification, Dental Biometrics (H2)
Section: ECG, Electrocardiogram for Biometrics (H3)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Human ID Using Gait, Recognition of People Through Gait (H4)
Section: Iris Based Biometrics, Biometrics Engineering Research Center, Dongguk University (H3)
Section: Iris Detection, Segmentation and Localization Systems (H3)
Section: Iris Recognition Systems, Infrared, Near-Infrared, NIR Based (H3)
Section: Iris Recognition Systems, Spoofing, Liveness, Presentation Attack, Contact Lenses (H3)
Section: Iris Recognition Systems, Systems, Evaluation, Comparison, Surveys (H3)
Section: Iris Recognition Systems, Wavelet Based (H3)
Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
Section: Motion -- Human Motion, Surveillance, Tracking, Surveillance, Activities (H)
Section: OCR, Document Analysis and Character Recognition Systems (H)
Section: Retinal Identification Systems and Tecniques (H3)
* Hiding Biometric Data
23 for Biometrics
Bird's Eye View
Section: Bird's Eye View Generation, BEV (H2)
Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
Bird Recognition
Section: Bird Sounds, Bird Song, Birds Audio, Identification (H4)
Section: Birds, Detection, Identification (H4)
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
Bird Sounds
Section: Bird Sounds, Bird Song, Birds Audio, Identification (H4)
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
Black-Box Attacks
Section: Black-Box Attacks, Robustness (H4)
Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
Black Carbon
Section: Pollution, Black Carbon (H4)
Section: Remote Sensing General Issue, Land Use, Land Cover (H)
Blackboard
Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
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: Remote Sensing General Issue, Land Use, Land Cover (H)
* Architecture for Sensor Fusion in a Mobile Robot, An
* Distributed Processing for Multiresolution Dynamic Scene Analysis
* Production System Environment for Integrating Knowledge with Vision Data, A
* Structural Analysis of Complex Aerial Photographs
8 for Blackboard
Bleed-Through
Section: Document Enhancement, Bleed-Through, Show-Through (H3)
Section: OCR, Document Analysis and Character Recognition Systems (H)
Blending
Section: Blending for Mosaic Generation, Image Stitching (H3)
Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
Section: Video Harmonizing, Image Harmonizing (H4)
Blind Deblurring
Section: Blind Image Deblurring (H4)
Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
Blind Deconvolution
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Section: Restoration by Deconvolution, Blind Deconvolution (H2)
Blinking
Section: Eye State, Blink, Open, Closed (H3)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Blob Detection
Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: Blob Detection (H3)
Blob Extraction
Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Detecting and Extracting Compact Textured Regions Using Pyramids
* Enhancement and Detection of Convex Objects Using Regression Models
* Maximum Likelihood Estimation of Markov-Process Blob Boundaries in Noisy Images
* Multi-scale Region Detector, A
* Recognition of Convex Blobs
* Using Pyramids to Define Local Thresholds for Blob Detection
7 for Blob Extraction
Blob Segmentation
Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: Blob Detection (H3)
Block Coding
Section: Block Coding -- Reduce Block Artifacts, Effects, Deblocking (H3)
Section: Block Coding, General Techniques and Issues (H2)
Section: Block Coding, Using Block Matching (H4)
Section: DCT Block Coding -- Block Artifacts in DCT (H4)
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Section: Using Motion Compensation, Block and Region Coding (H3)
Block Matching
Section: Architectures and Systems for Matching for Block Coding, Block Motion Estimation (H4)
Section: Computation and Matching for Block Coding, Block Motion Estimation (H4)
Section: Computation for Motion Compensation, Block and Region Coding (H3)
Section: Full Search Block Motion Estimation, Motion Coding (H4)
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Section: Variable Size Blocks for Block Coding, Block Motion Estimation (H4)
Blocking Artifacts
Section: Block Coding -- Reduce Block Artifacts, Effects, Deblocking (H3)
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Blood Cells
Section: Blood Cell Cancers, Lymphoma, Leukemia (H3)
Section: Blood Cells, Counting, Extraction, Analysis (H2)
Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
Blood Flow
Section: Blood Flow Analysis (H3)
Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
Blood Vessels
Section: Aneurysms -- Vascular Analysis (H3)
Section: Arteries, Plaque Formation, Detection, Analysis (H3)
Section: Blood Flow Analysis (H3)
Section: Brain, Cortex, Cerebral Arteries, Cerebral Aneurysm, Cerebrovascular (H3)
Section: Medical Applications -- Aorta, Aortic Analysis (H4)
Section: Medical Applications -- Blood Vessels, Arteries, Veins, Vascular (H2)
Section: Medical Applications -- Coronary Arteries, Carotid Arteries (H3)
Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
Section: Retinal Images, Angiography, Blood Vessels in the Eye (H2)
9 for Blood Vessels
Blur
Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
Section: Challenges for Mosaic Generation, Super Resolution and Stabilization (H3)
Section: Deblurring, Gaussian Blur, Other Blur Kernels (H3)
Section: Depth and Shape from Focus, Changing Camera Parameters (H1)
Section: Focusing, Autofocus, Auto Focus (H2)
Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
Section: Restoration from Blurred Images, Motion Blur (H3)
Section: Shape and Motion from Blur, Motion Blur (H2)
* Full-Frame Video Stabilization
9 for Blur
BM3D
Section: Block Matching 3-D Denoising, BM3D (H2)
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
* Image denoising: Can plain neural networks compete with BM3D?
Body Descriptions
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Human Models, 3-D Human Modeling (H4)
Body Part Segmentation
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Human Body Segmentation, Posture, Pose Related (H3)
Body Parts Model
Section: Human Detection, People Detection, Pedestrians, Using Body Parts, Body Shape (H4)
Section: Motion -- Human Motion, Surveillance, Tracking, Surveillance, Activities (H)
Body Parts
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Human Body Parsing, Body Parts (H3)
Body Pose
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Human Posture, or Human Pose, Human Body Pose (H2)
Section: Human Posture, or Human Pose, Learning, Neural Networks (H3)
Body Shape
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Human Body Shape (H3)
Bokeh
Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
Section: Bokeh Effect (H2)
Boltzmann Machine
Section: Boltzmann Machine, Simulated Annealing, and Related Topics (H3)
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
Bone Analysis
Section: Medical Applications -- Skeleton, Bone (H2)
Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
Bones
Section: Medical Applications -- Skeleton, Bone (H2)
Section: Medical Applications, Arthritis (H3)
Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
Section: Medical Applications, Trabecular Bone, Spongy Bone (H3)
Books, General
Section: Books, Collections, Overviews, General, and Surveys (H)
Section: Computer Vision Books (H1)
Books, Image Processing
Section: Books, Collections, Overviews, General, and Surveys (H)
Section: Image Processing Books (H1)
Boosting
Section: Boosting, AdaBoost Technique (H2)
Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
Borehole Radar
Section: Borehole Radar, Analysis, Applications (H3)
Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Boundaries, Optical Flow
Section: Optical Flow Field -- Boundaries (H2)
Section: Optical Flow Field Computations and Use (H)
Boundary Detection
Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
Section: Boundaries - More Than Simple Edge Points, Linking (H1)
Section: Boundary Detection for Semantic Segmentation, Border Analysis (H3)
Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
* Boundary Detection Using Mathematical Morphology
Boundary from Quadtree
Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: Quadtree Boundary Operations (H3)
Boundary Layer
Section: Atmospheric Boundary Layer Height (H2)
Section: Remote Sensing General Issue, Land Use, Land Cover (H)
Boundary
Section: Boundary Effects in Restoration (H2)
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Braille
Section: OCR, Document Analysis and Character Recognition Systems (H)
Section: Other Character Sets (H2)
Brain-Computer Interface
Section: Brain-Computer Interface, Brain-Machine Interface, Biomimetic (H3)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Combined EEG-Gyroscope-tDCS Brain Machine Interface System for Early Management of Driver Drowsiness
* Personalised, Multi-Modal, Affective State Detection for Hybrid Brain-Computer Music Interfacing
Brain-Robot Interface
Section: Brain-Computer Interface, Brain-Machine Interface, Biomimetic (H3)
Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
Brain Connectivity
Section: fMRI for Brain Connectivity Analysis (H3)
Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
Brain Development
Section: Brain Development Analysis, Infant Brain (H3)
Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
Brain MRI
Section: Brain, Cortex, MRI Analysis, Models, 3-D (H2)
Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
Brain Tumor
Section: Brain Tumors, Cortex, Cancer (H2)
Section: Glioma Detection, Analysis, Brain Glioma (H3)
Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
Brain
Section: Brain Surgery (H2)
Section: Brain Tumors, Cortex, Cancer (H2)
Section: Brain, Cortex, Alzheimer's Disease (H3)
Section: Brain, Cortex, Brain Waves, EEG Analysis, Electroencephalogram (H2)
Section: Brain, Cortex, Cerebral Arteries, Cerebral Aneurysm, Cerebrovascular (H3)
Section: Brain, Cortex, Dementia (H2)
Section: Brain, Cortex, General Segmentation Issues (H2)
Section: Brain, Cortex, MRI Analysis, Models, 3-D (H2)
Section: Brain, Cortex, MRI Segmentation (H3)
Section: Brain, Cortex, Registration, Alignment, MRI, Other (H3)
Section: Brain, Parkinson's Disease (H2)
Section: Brain, Schizophrenia (H2)
Section: Brain, Stroke, Ischemic Stroke (H2)
Section: Glioma Detection, Analysis, Brain Glioma (H3)
Section: Medical Applications -- Brain, Cortex Applications (H1)
Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* surface-based technique for warping three-dimensional images of the brain, A
18 for Brain
BRDF
Definition:* Bidirectional Reflectance Distribution Function. Reflectance of a target as a function of illumination geometry and viewing geometry.
Breast Cancer
Section: Breast Cancer, Mammograms, Analysis, Mammography (H2)
Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
Breast Density
Section: Mammograms, Density Issues (H3)
Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
Breathing
Section: Lung Motion Analysis, Respiration, Breathing (H3)
Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
Bridge Detection
Section: Bridge Detection and Extraction Systems (H2)
Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Bridge
Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Section: Deformation of Bridges, Monitor Bridges, Other Structures (H4)
Bronchial Analysis
Section: Bronchoscopy Systems, Bronchial Analysis (H3)
Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
Brushstroke
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Brush Stroke Analysis (H4)
Building Change
Section: Building Change Detection (H4)
Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Building Damage
Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Section: Change Detection for Damage Assessment (H3)
Building Detection
Section: Building Extraction, Analysis and Detection Systems, Multi-View (H1)
Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Building Efficiency
Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Section: Energy Usage, Energy Efficiency, Buildings, Roofs (H3)
Building Evaluation
Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Section: Site Model Construction and Evaluation, General Mapping (H2)
* Consistent Site Modeling: Imposing Hard Constraints on Deformable Models
Building Extraction
Section: Building Extraction, High Resolution, Multi-View Images (H2)
Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Section: Interactive Building Extraction and Modelling Systems (H2)
Building Facade
Section: Building Facades, Ground Level Images (H2)
Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Building Footprint
Section: Building Footprints (H3)
Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Building Recognition
* 3D City Models for CAAD-supported Analysis and Design of Urban Areas
Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
Section: Books, Collections, Overviews, General, and Surveys (H)
Section: Building Extraction, Analysis and Detection Systems, Multi-View (H1)
Section: Building Footprints (H3)
Section: Buildings DSM, DEM, Elevation, Surface Models (H3)
Section: Buildings from Depth Data, LiDAR Data (H2)
Section: Buildings from Oblique Images (H2)
Section: Buildings from Radar, SAR, InSAR, ISAR Data (H3)
Section: Buildings from Single Image, Shape Analysis, Color, Shadows (H2)
Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Section: CMU Building Systems (H2)
Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: Energy Usage, Energy Efficiency, Buildings, Roofs (H3)
Section: Interactive Building Extraction and Modelling Systems (H2)
Section: KU Leuven Building Systems (H2)
Section: Roof Structure, 3-D (H2)
Section: Solar Energy Analysis, Photovoltaic Analysis, Buildings, Roofs (H3)
Section: UMass Building Extraction Systems (H2)
Section: USC Building Systems (H2)
* Assessment of the Effects of Resolution on Automated DEM and Building Extraction
* Expandable bayesian networks for 3D object description from multiple views and multiple mode inputs
* Uncertain Reasoning and Learning for Feature Grouping
* Using Generic Geometric Models for Intelligent Shape Extraction
24 for Building Recognition
Built-Up Area Detection
Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Section: General Urban Area Detection, Built-Up Area Detection (H2)
Bundle Adjustment
Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
Section: Camera Calibration, Photogrammetric, Bundle Adjustment, Block Adjustment (H2)
Buried Objects
Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Section: Ground Penetrating Radar for Archeological Sites (H3)
Section: Ground Penetrating Radar, Buried Objects (H4)
Section: Magnetic, Electromagnetic Detection for Buried Objects, UXO, Landmines (H4)
Section: Terahertz Ground Penetrating Radar, THz (H4)
Section: Utility Mapping, Buried Utilities, Pipelines, Subsurface Infrastructure (H4)
Burned Area
Section: Burned Area Detection, Fire Damage Assessment, Post-Fire Analysis (H4)
Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Burst Super Resolution
Section: Handheld, Burst Super Resolution (H3)
Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
BVH
Definition:* bounding volume hierarchies.
By Function
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
Section: Recognition by Function, By Use, Affordance (H2)
By Use
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
Section: Recognition by Function, By Use, Affordance (H2)