Keywords b

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 -- 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 Sequence, Background Subtraction (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: Object Extraction, Object Detection for Database Indexing (H4)
11 for Background

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 -- Feature-Based, Long Range, Motion and Structure Estimates, 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 -- Feature-Based, Long Range, Motion and Structure Estimates, 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)

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)

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

Bathymetric Section: Bathymetric Mapping, Analysis, Underwater Terrain (H2)
Section: Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR (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, Remote Sensing, Buildings, Roads, Terrain, 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 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: 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)

BCI Section: Brain-Computer Interface, Brain-Machine Interface (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)

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)

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

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)

Binarization Section: Binarization: Threshold selection for documents, Character Enhancement (H3)
Section: OCR, Document Analysis and Character Recognition Systems (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 (H

Biomass Measurement Section: Biomass Measurements for Individual Trees (H4)
Section: Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR (H)
Section: Trees, Forest, Stem Volume, Biomass Measurements (H3)

Biometrics * *Geometrix
Section: Biometrics, General Systems (H1)
Section: Biometrics, Gesture, Face, People Analysis (H3)
Section: Biometrics, Iris Recognition Systems (H2)
Section: Biometrics, Multi-Modal Systems, Multibiometrics, Combined Face and Other Features, Fusion (H2)
Section: Biometrics, Surveys, Analysis, Datasets, Legal Issues, Privacy, Philosophy (H2)
Section: Dental Identification, Dental Biometrics (H2)
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, Systems, Evaluation, Comparison, Surveys (H3)
Section: Iris Recognition Systems, Wavelet Based (H3)
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
Section: OCR, Document Analysis and Character Recognition Systems (H)
Section: Retinal Identification Systems and Tecniques (H3)
* Hiding Biometric Data
18 for Biometrics

Bird Recognition Section: Birds, Detection, Identification (H4)
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)

Blackboard Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
Section: Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR (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)
* 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

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: Feature, Object, Blob Detection and Spot Detection Systems (H2)

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: Feature, Object, Blob Detection and Spot Detection Systems (H2)

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: Arteries, Plaque Formation, Detection, Analysis (H3)
Section: Blood Flow Analysis (H3)
Section: Brain, Cortex, Cerebral Arteries (H3)
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)

Blur Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
Section: Deblurring, Gaussian Blur (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: Motion from Blur, Motion Blur (H2)
Section: Super Resolution and Restoration from Blurred Images, Motion Blur (H3)
* Full-Frame Video Stabilization
8 for Blur

Body Parts Model Section: Human Detection, People Detection, Pedestrians, Using Body Parts, Body Shape (H4)
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)

Body Pose Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Human Posture, or Human Pose, Human Body Pose (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, 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, Remote Sensing, Buildings, Roads, Terrain, ATR (H)

Boundaries, Optical Flow Section: Optical Flow Field -- Boundaries (H2)
Section: Optical Flow Field Computations and Use (H)

Boundary Detection Section: Boundaries - More Than Simple Edge Points, Linking (H1)
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 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 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: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)

Brain Section: Brain Tumors, Cortex, Cancer (H2)
Section: Brain, Cortex, Alzheimer's Disease, Dementia (H2)
Section: Brain, Cortex, Brain Waves, EEG Analysis (H2)
Section: Brain, Cortex, Cerebral Arteries (H3)
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: Brain, Surgery (H2)
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
16 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)

Bronchial Analysis Section: Bronchoscopy Systems, Bronchial Analysis (H3)
Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)

Building Change Section: Building Change Detection (H4)
Section: Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR (H)

Building Damage Section: Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR (H)
Section: Change Detection for Damage Assessment (H3)

Building Evaluation Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
Section: Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR (H)
Section: Site Model Construction and Evaluation, General Mapping (H2)
* Consistent Site Modeling: Imposing Hard Constraints on Deformable Models

Building Extraction Section: Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR (H)
Section: Interactive Building Extraction and Modelling Systems (H2)

Building Facade Section: Building Facades, Ground Level Images (H2)
Section: Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, 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 Analysis and Detection Systems, Multi-View (H1)
Section: Buildings DEM, Elevation, Surface Models (H3)
Section: Buildings from Depth Data, LiDAR Data (H2)
Section: Buildings from SAR, InSAR, ISAR Data (H3)
Section: Buildings from Single Image, Shape Analysis, Color, Shadows (H2)
Section: Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, 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: Interactive Building Extraction and Modelling Systems (H2)
Section: KU Leuven Building Systems (H2)
Section: Roof Structure, 3-D (H2)
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
20 for Building Recognition

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, Remote Sensing, Buildings, Roads, Terrain, ATR (H)
Section: Ground Penetrating Radar, Buried Objects, UXO, Landmines (H3)

BVH Definition:* bounding volume hierarchies.

Index for "c"


Last update:26-Apr-17 10:35:34
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