Keywords a

AAM Definition:* Active Appearance Model.
Section: Active Appearance Models - AAM (H3)
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)

Abnormal Event [Provide a short definition]
Section: Detecting Anomalies, Abnormal Event, Abnormal Behavior, or Rare Events, Rare Behaviors (H3)
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)

Accumulation Based Matching [Provide a short definition]
Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: Grimson Object Recognition Papers (H3)
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
Section: Matching Using Accumulation and Alignment Schemes (H2)
* Finding Waldo, or Focus of Attention Using Local Color Information

Accumulation Matching [Provide a short definition]
Section: Range Data Matching -- Accumulation Methods (H3)
Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)

Acoustic [Provide a short definition]
Section: Acoustic Signals, Sounds (H2)
Section: New Unsorted Entries, and Other Miscellaneous Papers (H)

ACRONYM [Provide a short definition]
Section: ACRONYM and SUCCESSOR Papers - Stanford University and Others (H2)
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)

Action Recognition [Provide a short definition]
Section: Human Action Recognition and Detection Using Human Pose (H4)
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)

Active Appearance Models [Provide a short definition]
Section: Active Appearance Models - AAM (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)
* Classification of Biological Objects Using Active Appearance Modelling and Color Cooccurrence Matrices

Active Contours [Provide a short definition]
Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
Section: Active Contours and Snakes, Region Segmentation Issues (H3)
Section: Active Contours and Snakes, Segmentations, Flow, Gradient Flow (H4)
Section: Active Contours and Snakes, Video, Motion Segmentation Issues (H4)
Section: Active Contours, Snakes or Deformable Curves (H2)
Section: Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR (H)
Section: Interactive Region Segmentations, Snakes, User-Assisted Segmentation (H4)
Section: Optical Flow Field Computations and Use (H)
Section: Snakes, Algorithms for Computation (H3)
Section: Snakes, Applications (H3)
Section: Snakes, General Techniques and Descriptions (H3)
Section: Snakes, Restricted Curves, Splines, etc. (H2)
* Higher Order Active Contours
* Piecewise-Smooth Dense Optical Flow via Level Sets
* Using Generic Geometric Models for Intelligent Shape Extraction
15 for Active Contours

Active Shape Model [Provide a short definition]
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Active Volumes, Deformable Solids, 3-D Snakes, etc. (H1)

Active Vision [Provide a short definition]
Section: Active Vision - General (H2)
Section: Active Vision Systems (H1)
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: Motion Analysis --Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
Section: Optical Flow Field Computations and Use (H)
* Active Recovery of 3D Motion Trajectories and Their Use in Prediction, The
* Analysis Of Camera Behavior During Tracking
* On the Estimation of Depth from Motion Using an Anthropomorphic Visual Sensor
* Planning for Perception in Robot Driving
* Recognizing 3D Objects by Generating Random Actions
* Using Camera Motion to Estimate Range for Robotic Parts Manipulation
* Vision During Action
14 for Active Vision

Active Vision, Attention Section: Active Vision -- Visual Attention (H2)
Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)

Active Vision, Calibration Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
Section: Camera Calibration -- Robot Based, Servo (H2)

Active Vision, Evaluation Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
* Comparative Study of Stereo, Vergence, and Focus as Depth Cues for Active Vision, A

Active Vision, Focus of Attention Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* Selective Perception for Robot Driving

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

Active Vision, Gaze Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
Section: Active Vision: Gaze Control (H2)

Active Vision, Hand-Eye Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
Section: Hand-Eye Coordination (H2)

Active Vision, Overview Section: Active Vision - General (H2)
Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)

Active Vision, Path Planning Section: Active Vision - Path/Trajectory Planning (H2)
Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)

Active Vision, Sensor Section: Optical Flow Field Computations and Use (H)
* Direct Estimation of Time-to-Impact from Optical Flow

Active Vision, Survey Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* Animate Vision
* Principles of Animate Vision
* Purposive and Qualitative Active Vision

Active Vision, Tools Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* Triclops: A Tool for Studying Active Vision

Active Vision, Tracking Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
Section: Target Tracking, Active, Camera Following, Real Time Issues, Hardware (H3)
* Model-Based Visual Feedback Control for a Hand-Eye Coordinated Robotic System

Active Vision, Vergence Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
* Stereo Ranging with Verging Cameras
* Surface Reconstruction by Dynamic Integration of Focus, Camera Vergence, and Stereo

Active Volumes [Provide a short definition]
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Active Volumes, Deformable Solids, 3-D Snakes, etc. (H1)

Activity Recognition [Provide a short definition]
Section: Abandoned Luggage, Human Safety, Falling, Drowning, Underwater (H4)
Section: Human Action Detection, Human Action Recognition (H3)
Section: Human Action Recognition, Indoor Environments, Office, Smart Room (H4)
Section: Human Activities, Interactions, Groups (H3)
Section: Human Activities, Sports, Planned Activities (H4)
Section: Human Activities, Sports, Summaries, Highlights (H4)
Section: Human Activity Recognition, Human Behaviors (H4)
Section: Human Motion Capture, Dance Activities (H4)
Section: Intruders, Intrusions, Intrusion Detection, Threats (H4)
Section: Models, Inference, Learning Human Activities, Human Behavior (H4)
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)
Section: Viewpoint invariant, View Invariant, Human Action Detection, Human Action Recognition (H4)
13 for Activity Recognition

Ad Detection [Provide a short definition]
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
Section: Video Analysis, Find Ads, Find Commercials (H4)

AdaBoost [Provide a short definition]
Section: Boosting, AdaBoost Technique (H2)
Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)

Adaptive coding [Provide a short definition]
Section: Adaptive Coding Techniques (H2)
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)

Adaptive Filters [Provide a short definition]
Section: Adaptive Filters (H2)
Section: Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
* Adaptive Determination of Filter Scales for Edge Detection
* Steerable Filters for Early Vision, Image Analysis and Wavelet Decomposition

Adaptive Histogram Equalization [Provide a short definition]
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
* Models and Algorithms for a Real-Time Hybrid Image-Enhancement Methodology

Adaptive Hough [Provide a short definition]
Section: Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
Section: Multi-Resolution and Parallel Hough Transform (H2)

Adaptive Pyramid [Provide a short definition]
Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Adaptive Pyramid: A framework for 2D Image Analysis, The
* Modelisation of Spatial Organization of Vegetations in Floodplains

Adaptive Reconstructions [Provide a short definition]
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Discontinuity Analysis in Surface Reconstruction (H3)

Adaptive Smoothing [Provide a short definition]
Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
Section: Smoothing Techniques, Adaptive Smoothing (H2)
Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
* Accurate Edge Detection for Multiple Scale Processing
* Adaptive Smoothing: A General Tool for Early Vision
* Edge detection with iteratively refined regularization
* Multiresolution Adaptive Image Smoothing
* On Discontinuity-Adaptive Smoothness Priors in Computer Vision
* Parallel Multiscale Stereo Matching Using Adaptive Smoothing
11 for Adaptive Smoothing

Adaptive Stereo [Provide a short definition]
Section: Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR (H)
* Accurate Building Structure Recovery from High Resolution Aerial Imagery

Adaptive Threshold [Provide a short definition]
Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
Section: Segmentation by Thresholding, Quantization, or Relaxation (H2)
* Automatic Target Segmentation by Locally Adaptive Image Thresholding
* New Method for Image Segmentation, A
* Real-Time Automated Visual Inspection System for Hot Steel Slabs, A

Adaptive [Provide a short definition]
Section: Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Section: Improving Edges by Neighborhood Processing, Relaxation, Multi-Scale (H2)
Section: Noise Removal, Adaptive, Non-linear Techniques (H3)
Section: Space Varying Restoration, Adaptive Restoration (H2)

Address Blocks [Provide a short definition]
Section: Mail -- Addresses, Document Analysis, Postal Automation (H2)
Section: OCR, Document Analysis and Character Recognition Systems (H)

Aerial Image Analysis [Provide a short definition]
Section: Airport Analysis Systems, Runways (H1)
Section: Building Analysis and Detection Systems, Multi-View (H1)
Section: Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR (H)
Section: Change Detection for Damage Assessment (H3)
Section: CMU Building Systems (H2)
Section: General Site Model Use, Program Surveys (H1)
Section: General Urban Area Detection and Growth (H2)
Section: KU Leuven Building Systems (H2)
Section: Road Extraction in Radar, SAR, Lidar, Laser, Depth (H2)
Section: Road Following, Road Tracking Systems, Connecting Fragments, Extracting Fragments (H2)
Section: Road Network Detection, Road Extraction Systems (H1)
Section: Road Network Model Integration, Updating, and Change Detection (H2)
Section: Site Model Change Detection, Map Update (H3)
Section: Site Model Construction and Evaluation, General Mapping (H2)
Section: Site Model Registration, Georeference, Geo-Registeration (H2)
Section: SRI General Cartography Systems (H1)
Section: UMass Building Extraction Systems (H2)
Section: USC Building Systems (H2)
* RADIUS: Site Model Content
19 for Aerial Image Analysis

Aerial Image [Provide a short definition]
Section: Aerial Image Mosaic Generation, UAV Mosaics (H3)
Section: Motion Analysis --Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)

Aerial Images [Provide a short definition]
Section: ATR -- Vehicles, Aerial Images, Vehicle Detection (H2)
Section: Books, Collections, Overviews, General, and Surveys (H)
Section: Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR (H)
* Image Analysis Applications

Affine Invariance [Provide a short definition]
Section: Affine Invariants (H3)
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)

Affine Model [Provide a short definition]
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Estimation of Complex Multimodal Motion: An Approach Based on Robust Statistics and Hough Transform

Affine Transform [Provide a short definition]
Section: Matching, Affine Transformations (H3)
Section: Optical Flow Field Computations and Use (H)
Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* Direct Estimation of Image Deformations Using Visual Front-End Operations with Automatic Scale Selection

AFLC [Provide a short definition]
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
* Image-Adaptive Vector Quantization in an Entropy-Constrained Framework

Age Estimation [Provide a short definition]
Section: Face Analysis -- Age Variations (H2)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)

Ageing Analaysis [Provide a short definition]
Section: Face Analysis -- Age Variations (H2)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)

Agricultural [Provide a short definition]
Section: Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR (H)
Section: Classification for Crops, Specific Crops (H3)
Section: Land Cover Change Analysis, Temporal Analysis (H3)

Airplane [Provide a short definition]
Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
Section: Airplane Obstacles, Collision Detection (H3)

Airport Recognition [Provide a short definition]
Section: Airport Analysis Systems, Runways (H1)
Section: Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR (H)

Albedo [Provide a short definition]
Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
Section: Reflectance Computations, Albedo (H2)

Algebraic and Geometric Invariants [Provide a short definition]
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Relative Affine Structure: Canonical Model for 3D from 2D Geometry and Applications

Algorithms [Provide a short definition]
Section: Books, Collections, Overviews, General, and Surveys (H)
* Pattern Recognition and Image Processing in C++

Algorithms, Survey Section: Books, Collections, Overviews, General, and Surveys (H)
* Algorithms for Graphics and Image Processing

Alignment [Provide a short definition]
Section: Face Alignment, Recognition, 3-D Models (H4)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Image Stabilization, Video Stabilization, Alignment (H2)
Section: Motion Analysis --Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)

ALV Definition:* Autonomous Land Vehicles.
* Elector-Optical Technology for Autonomous Vehicles

ALVINN [Provide a short definition]
Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
Section: CMU Road Followers -- ALVINN YARF MANIAC (H3)

Alzheimer's Disease [Provide a short definition]
Section: Brain, Cortex, Alzheimer's Disease, Dementia (H2)
Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)

Analogy [Provide a short definition]
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Heuristic Program to Solve Geometry-Analogy Problems, A

Angiography [Provide a short definition]
Section: Heart, Cardiac, Angiography using MRI Analysis, Cardiac MRI (H2)
Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)

Animal Inspection [Provide a short definition]
Section: Agriculture, Inspection -- Animals (H4)
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)

Animation [Provide a short definition]
Section: Animation and Reconstruction of Human Model from Posture, or Pose (H3)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)

Annotation [Provide a short definition]
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
Section: Video Retrieval, Video Annotation, Video Categorization, Genre (H4)

Anomaly Detection [Provide a short definition]
Section: Detecting Anomalies, Abnormal Event, Abnormal Behavior, or Rare Events, Rare Behaviors (H3)
Section: Hyperspectral Data Anomaly Detection, Hyper-Spectral Anomaly (H3)
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* Unsupervised Activity Perception by Hierarchical Bayesian Models

Ant Colony [Provide a short definition]
Section: Ant Colony Optimization (H3)
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)

Apparent Contours [Provide a short definition]
Section: Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Camera Pose Estimation and Reconstruction from Image Profiles under Circular Motion
* Determination of the Apparent Boundary of an Object
* Reconstruction and motion estimation from apparent contours under circular motion

Appearance Based [Provide a short definition]
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
Section: Invariants -- Eigen Representations, General Appearance Based Methods (H2)
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Active Appearance Models
* Seemore: Combining Color, Shape, and Texture Histogramming in a Neurally Inspired Approach to Visual Object Recognition
* View-based active appearance models
7 for Appearance Bas

Application, Airports Section: Airport Analysis Systems, Runways (H1)
Section: Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR (H)

Application, Astronomy Section: Astronomy Applications, Solar Analysis (H2)
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* On the Hierarchical Bayesian Approach to Image Restoration: Applications to Astronomical Images

Application, ATR Section: ATR Applications, Automatic Target Recognition (H1)
Section: Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR (H)
* Automatic Target Recognition: State of the Art Survey

Application, Barcodes Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
* Optimal Correspondence for String Subsequences

Application, Bin-picking 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)
* Distributed Associative Memory (DAM) for Bin-Picking
* Three-Dimensional Vision System for Bin-Picking, A

Application, Cartography Section: Airport Analysis Systems, Runways (H1)
Section: Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR (H)
Section: CMU MAPS Image Database System (H1)
Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: General Cartography Issues (H1)
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: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
* Automatic Road Network Detection on Aerial Photographs
* Classification of Edges for Object Detection in Aerial Images
* Detection of Roads and Linear Structures in Low Resolution Aerial Images Using Multi-Source Knowledge Integration Techniques
* Hierarchical Knowledge-Directed Object Extraction using a Combined Region and Line Representation
* Interactive Aids for Cartography and Photo-Interpretation
* ISIS: An Interactive Facility for Scene Analysis Research
* Recovering 3D Information from Complex Aerial Imagery
* Research in Interactive Scene Analysis
* Road Finding for Road-Network Extraction
* Scene-Analysis Approach to Remote Sensing, A
* Sigma Image Understanding System, The
* SRI Road Expert: Image-to-Database Correspondence, The
* Stereo Verification in Aerial Image Analysis
* Utilization of Multispectral Imagery for Cartographic Feature Extraction
22 for Application, Cartography

Application, Character Recognition Section: Character Recognition Systems (H1)
Section: Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
Section: OCR, Document Analysis and Character Recognition Systems (H)
* Fourier Preprocessing for Hand Print Character Recognition
* Optical Character Recognition: A Survey
* Overview of Character Recognition Methodologies, An

Application, Checks Section: Money and Check Processing -- Amounts, etc. (H2)
Section: OCR, Document Analysis and Character Recognition Systems (H)

Application, Circuit Diagrams Section: OCR, Document Analysis and Character Recognition Systems (H)
* Automatic Circuit Diagram Reader with Loop-Structure-Based Symbol Recognition, An
* Topology-Based Component Extractor for Understanding Electronic Circuit Diagrams, A

Application, Counting Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Moving Object Extraction Method Robust Against Illumination Level Changes for a Pedestrian Counting System, A

Application, Crops Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Model based tracking for navigation and segmentation
* Real-Time Segmentation of Plants and Weeds
* Real-Time Tracking of Cplan Rows Using a Hough Transform
* Structure-from-Motion Techniques Applied to Crop Field-Mapping

Application, Document Analysis * 3D Shape Reconstruction of Unfolded Book Surface from a Scanner Image
Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
Section: Analysis Systems Applied to Documents, Document Analysis (H1)
Section: Documents and Character Analysis -- Surveys, Comparisons, Evaluations (H1)
Section: OCR, Document Analysis and Character Recognition Systems (H)
* Classification of Newspaper Image Blocks Using Texture Analysis
* Image Segmentation by Shape-Directed Covers
* Rule-Based System for Document Image Segmentation, A
* Understanding Multi-Articled Documents
9 for Application, Document Analysis

Application, Document Layout Section: Document Layout, Document Segmentation, Page Layout, Structure Analysis (H3)
Section: Document Layout, Structure Analysis, Web Documents, Online Documents (H4)
Section: Form and Layout Analysis (H2)
Section: OCR, Document Analysis and Character Recognition Systems (H)
Section: Page Segmentation, General, Evaluations (H4)
Section: Separate Images and Graphics from Text (H4)
Section: Table Segmentation, Extract Tables or Forms, General (H4)
Section: Text vs. Non-Text Regions (H4)
8 for Application, Document Layout

Application, Engineering Drawings Section: Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
Section: Engineering Drawings, Hand Drawings Analysis (H2)
Section: OCR, Document Analysis and Character Recognition Systems (H)
* Engineering Drawing Processing and Vectorization System
* Extended Binary Tree Representation of Binary Image and Its Application to Engineering Drawing Entry, The
* Syntactic/Geometric Approach to Recognition of Dimensions in Engineering Machine Drawings, A
* Understanding Engineering Drawings
7 for Application, Engineering Drawings

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

Application, 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: Localizing a Face in an Image, Face Localization (H3)

Application, Face Recognition Section: Face Alignment, Recognition, 3-D Models (H4)
Section: Face Analysis -- Age Variations (H2)
Section: Face Analysis -- Find and Use Features, Facial Features (H2)
Section: Face Analysis -- Gender Classification (H3)
Section: Face Analysis -- High Level Facial Features, Sketches (H3)
Section: Face Analysis, General Papers, Surveys (H3)
Section: Face Analysis, Profiles (H2)
Section: Face Recognition at a Distance (H3)
Section: Face Recognition from Video, Faces in Video (H3)
Section: Face Recognition Systems Using Neural Networks, Learning (H2)
Section: Face Recognition Systems (H2)
Section: Face Recognition Using Three-Dimensional Models, 3-D Models (H3)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Finding Facial Features (H3)
Section: Fourier Features for Facial Recognition (H4)
Section: Gabor Wavelets for Facial Recognition (H3)
Section: Three-Dimensional Model Generation for Recognition, 3-D Models (H4)
17 for Application, Face Recognition

Application, Face Tracking 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)

Application, Faces Section: Emotion Recognition from Face Images (H3)
Section: Face Action Units for Expressions and Motion Analysis (H4)
Section: Face Analysis -- Age Variations (H2)
Section: Face Analysis -- Find and Use Features, Facial Features (H2)
Section: Face Analysis -- Gender Classification (H3)
Section: Face Analysis -- High Level Facial Features, Sketches (H3)
Section: Face Analysis, Evaluations, Databases of Images (H2)
Section: Face Analysis, General Papers, Surveys (H3)
Section: Face Analysis, Profiles (H2)
Section: Face Expression Recognition and Analysis, Facial Expression Analysis, Facial Expressions (H3)
Section: Face Recognition and Using Models (H3)
Section: Face Recognition from Video, Faces in Video (H3)
Section: Face Recognition Systems Using Neural Networks, Learning (H2)
Section: Face Recognition Systems (H2)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Face Retrieval, Face Databases, Retrieval of Faces (H2)
Section: Facial Expressions, Overviews, Surveys, Data (H3)
Section: Learning Face Detection, Neural Nets, SVM (H3)
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (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)
* Application of the Karhunen-Loeve Procedure for the Characterization of Human Faces
* Determining the Gaze of Faces in Images
* Face Recognition Using Eigenfaces
25 for Application, Faces

Application, Fingerprints Section: Books, Collections, Overviews, General, and Surveys (H)
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)
* Image Analysis Applications
10 for Application, Fingerprints

Application, Forklift Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* Camera Space Control-System For An Automated Forklift, A

Application, General Section: General Applications (H1)
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)

Application, Geographic Information Systems Section: Books, Collections, Overviews, General, and Surveys (H)
* Image Analysis Applications

Application, Geology Section: Geological Analysis, Rocks (H3)
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)

Application, Gesture Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Gesture Recognition Techniques (H2)
Section: Hand Gesture Systems, Hand Posture, Hand Pose (H3)
Section: Video Conferencing, Videoconference, Teleconference (H2)

Application, Heart Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Deformable Models, Cardiac Motion Models for Volumes, Left Ventricle (H3)

Application, Houses Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* Polymorphic Grouping for Image Segmentation

Application, Industrial Section: Books, Collections, Overviews, General, and Surveys (H)
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
Section: Industrial Applications (H1)
Section: Other Industrial Applications Areas (H2)
* Machine Vision: Automated Visual Inspection and Robot Vision

Application, Inspection Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Agriculture, Inspection -- Animals (H4)
Section: Agriculture, Inspection -- Fish, Fish Motion, Detection (H4)
Section: Agriculture, Inspection -- Food Products, Plants, Farms (H3)
Section: Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
Section: Inspection -- Chips, Wafers, PCB, PWB, VLSI, IC, Disks, etc. (H3)
Section: Inspection -- Defect Detection, Crack Detection (H3)
Section: Inspection -- Lumber, Logs (H3)
Section: Inspection -- Metal Inspection, Castings (H3)
Section: Inspection -- Paint and Printing Quality, Print Analysis (H3)
Section: Inspection -- Solder Joints, Welding, Pipes (H3)
Section: Inspection -- Textiles, Fabrics, Fibers (H3)
Section: Inspection Systems -- General, Survey, Review (H3)
Section: Inspection Systems and Techniques (H2)
* Automatic Tube Inspection System That Finds Cylinders in Range Data, An
* Label Inspection using the Hough Transform on Transputer Networks
17 for Application, Inspection

Application, Leaf Shapes Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
Section: Plants, Leaf Shapes, Leaf Analysis, Leaf Segmentation (H4)

Application, Lipreading Section: Combined Audio Visual Recognition and Analysis (H3)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Lipreading, Lip Reading, Lip Tracking (H2)
Section: Mouth Location, Lip Location, Detection (H3)
* Architecture for Automatic Lipreading to Enhance Speech Recognition, An

Application, Lumber Mill Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Computer Vision System That Analyses CT-Scans of Sawlogs, A
* Determining a Maximum Value Yield of a Log Using an Optical Log Scanner
* Identifying and Location Surface Defects in Wood: Part of an Automated Lumber Processing System

Application, Mail sorting Section: Mail -- Addresses, Document Analysis, Postal Automation (H2)
Section: OCR, Document Analysis and Character Recognition Systems (H)
* Lexicon-Driven Segmentation and Recognition of Handwritten Character Strings for Japanese Address Reading
* Object Recognition in Structured and Random Environments: Locating Address Blocks on Mail Pieces
* Recognizing Address Blocks on Mail Pieces: Specialized Tools and Problem-Solving Architecture

Application, Maps Section: Map Analysis, Analysis of Map data, Map Processing (H2)
Section: OCR, Document Analysis and Character Recognition Systems (H)

Application, Medical Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Books, Collections, Overviews, General, and Surveys (H)
Section: Deformable Models, Medical Applications (H2)
Section: Deformable Models, University of Manchester Papers (H2)
Section: General Medical Applications (H1)
Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
* Automatic Comparison of 2-D Electrophoretic Gels
* Automatic Registration Method for Frameless Stereotaxy, Image Guided Surgery and Enhanced Reality Visualization, An
* Medical Applications of Image Understanding
9 for Application, Medical

Application, Navigation Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
* Artificial Vision for Mobile Robots: Stereo Vision and Multisensory Perception
* Fido: Vision and Navigation for a Robot Rover
* VITS--A Vision System for Autonomous Land Vehicle Navigation

Application, Page Layout Section: Document Layout, Document Segmentation, Page Layout, Structure Analysis (H3)
Section: OCR, Document Analysis and Character Recognition Systems (H)

Application, Palmprints Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Palmprints, Hand Structure, Recognition, Systems (H2)

Application, Pathology Section: Forensic Analysis, Pathology (H2)
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)

Application, Ping Pong Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* Dynamic Sensing in a Ping-Pong Playing Robot

Application, Registration Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* Sub-Mu-M Registration of Fiducial Marks Using Machine Vision

Application, SAR Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Interpretation of Synthetic Aperture Radar Image Using Projective Invariants and Deformable Templates, The

Application, Seismic Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
Section: Seismic Analysis, Geological Analysis, Wells (H3)

Application, Sign Language Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Intelligible Encoding of ASL Image Sequences at Extremely Low Information Rates

Application, Speech Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* On the Use of Computer Vision Techniques for Automatic Speech Recognition

Application, Textiles Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
Section: Inspection -- Textiles, Fabrics, Fibers (H3)
* Color Texture Segmentation for Clothing in a Computer-Aided Fashion Design System

Arabic Characters [Provide a short definition]
Section: Arabic Characters, Including Farsi, Persian (H3)
Section: OCR, Document Analysis and Character Recognition Systems (H)

Architectures [Provide a short definition]
Section: Architectures and Systems for Matching for Block Coding, Block Motion Estimation (H4)
Section: Hardware and Architecture for Coding (H2)
Section: Hardware and Systems for Transcoding, Conversions (H3)
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
Section: Motion and Video Coding: Hardware and Systems (H2)
Section: Parallel and Multi-Processor Algorithms, General, Survey (H2)
Section: Systems and Architectures for Image Processing (H2)
8 for Architectures

Architectures, Survey Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Parallel Computer Architectures for Image Processing
* Survey of Array Processors

Area [Provide a short definition]
Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: Computing Area, Diameter and Perimeter (H3)

Array Processors [Provide a short definition]
Section: Array Processors, Massive Parallel Systems, Pyramids (H2)
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)

Arterial Network [Provide a short definition]
Section: Medical Applications -- Blood Vessels, Arteries, Veins, Vascular (H2)
Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)

Articulated Shape [Provide a short definition]
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Generic Recognition of Articulated Objects by Reasoning about Functionality

Artifact Removal [Provide a short definition]
Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
Section: MRI, Enhancement, Noise and Artifact Reduction (H2)
Section: Tomographic Images, Artifact Removal, Enhancement (H2)

ASL Definition:* American Sign Language.
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Sign Language, ASL Recognition (H3)
Section: Sign Language, Fingerspelling (H4)
* Simultaneous Localization and Recognition of Dynamic Hand Gestures

Aspect Graphs [Provide a short definition]
Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
Section: Aspect Graph Matching -- Bowyer (H3)
Section: Aspect Graph Matching -- Ikeuchi (H3)
Section: Aspect Graph Matching, Characteristic Views (H2)
Section: Aspect Graphs, Matching Systems, Object Recognition (H3)
Section: Dual/Gradient Space Concepts (H1)
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
7 for Aspect Graphs

Aspects [Provide a short definition]
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Role of Model-Based Segmentation in the Recovery of Volumetric Parts from Range Data, The

Associative Memory [Provide a short definition]
Section: Associative Memory for Matching and Recognition (H3)
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)

Astronomy [Provide a short definition]
Section: Applied Restoration, Restore Old Films, and Hardware and Systems (H2)
Section: Astronomy Applications, Solar Analysis (H2)
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)

ATR Definition:* Automatic Target Recognition.
* *Automatic ObjectTarget Recognition VIII
* *Signal Processing, Sensor Fusion, and Target Recognition V
* *Targets and Backgrounds: Characterization and Representation
Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
Section: ATR -- Clutter, Background Issues (H2)
Section: ATR -- IR (Infra-Red) Applications (H
Section: ATR -- Model, Object Based Radar and SAR Recognition (H3)
Section: ATR -- Multiple Sensors, Multiple Algorithms, Fusion (H2)
Section: ATR -- Radar, SAR Applications (H2)
Section: ATR -- Sonar (H2)
Section: ATR -- Survey, Review, Evaluation, General Discussions (H2)
Section: ATR -- Vehicles, Aerial Images, Vehicle Detection (H2)
Section: ATR Applications, Automatic Target Recognition (H1)
Section: Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR (H)
Section: Ground Penetrating Radar, Buried Objects, UXO, Landmines (H3)
Section: LIDAR, LADAR -- Range data (H2)
Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* Reinforcement Learning for Integrating Context with Clutter Models for Target Detection
* Survey and Evaluation of FLIR Target Detection/Segmentation Algorithms, A
20 for ATR

ATR, Survey Section: Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR (H)
* Automatic Target Recognition: State of the Art Survey

Attributed Graphs [Provide a short definition]
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Structural Matching in Computer Vision Using Probabilistic Relaxation

Audio Video [Provide a short definition]
Section: Audio-Video Analysis for Indexing and Classification (H4)
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)

Augmented Reality [Provide a short definition]
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Augmented Reality, Virtual Reality, Applications (H1)
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
Section: Telepresence, Immersion, for Instruction, Training (H4)

Authentication [Provide a short definition]
Section: OCR, Document Analysis and Character Recognition Systems (H)
Section: Watermarks for Copyright, Ownership Protection, Authentication, Verification, Forgery (H2)

Auto-Focusing [Provide a short definition]
Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
Section: Focusing, Autofocus, Auto Focus (H2)

Autocalibration [Provide a short definition]
Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
Section: Camera Calibration -- Self Calibration, Autocalibration, Auto-Calibration (H2)
* Automatic Calibration and Removal of Distortion from Scenes of Structured Environments

Autofocus [Provide a short definition]
Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
Section: Focusing, Autofocus, Auto Focus (H2)

Automatic Target Recognition [Provide a short definition]
Section: Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR (H)
* Empirical Evaluation of Neural, Statistical and Model-based Approaches to FLIR ATR

Automation, Survey Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Robotics and Automation

Automation, Systems Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
Section: Factory Automation - General Vision Systems (H2)
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Planning Sensing Strategies in Robot Work Cell with Multi-Sensor Capabilities

Autonomous Vehicle [Provide a short definition]
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
* Artificial Vision for Mobile Robots: Stereo Vision and Multisensory Perception
* Calibration of a Mobile Robot with Application to Visual Navigation
* Mobile Robot Localization Using Sonar

Autonomous Vehicle, High Speed Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* Visual Dynamic Scene Understanding Exploiting High-Level Spatio-Temporal Models

Autonomous Vehicle, Image Processing Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
Section: Autonomous Vehicles -- Low Level Image Processing (H2)

Autonomous Vehicle, Systems Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
Section: ALV, Autonomous Vehicles, Robotic Systems or Vehicles, Autonomous Robots (H2)

Autonomous Vehicles [Provide a short definition]
Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
Section: Autonomous Vehicles, Surveys, Collections, Overviews (H3)
Section: Autonomous Vehicles (H1)
Section: Carnegie Mellon NAVLAB, AMBLER, etc. (H3)

Autoregression [Provide a short definition]
Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: Autoregressive Texture Models (H2)

Avatars [Provide a short definition]
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Face Animation, Video Face Synthesis (H3)

AVC [Provide a short definition]
Section: H.264/AVC Issues, Advanced Video Coding (H3)
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)

Award Paper [Provide a short definition]
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Iris Recognition: An Emerging Biometric Technology

Award, ACCV Best Application Paper Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
* Network Connectivity via Inference over Curvature-Regularizing Line Graphs

Award, ACCV Best Paper Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* Context-Based Support Vector Machines for Interconnected Image Annotation

Award, ACCV Best Student Paper Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
* Fast Spectral Reflectance Recovery Using DLP Projector

Award, ACCV Honorable Mention Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
* Image-Based 3D Modeling via Cheeger Sets

Award, AMDO, Best Paper Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Predicting 3D People from 2D Pictures

Award, Best Paper, ISPRS 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: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
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: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
* Automated reconstruction of 3D models from real environments
* Automatic Aerotriangulation: Concept, Realization and Results
* Automatic detection and tracking of pedestrians from a moving stereo rig
* Errors and accuracy estimates of laser data acquired by various laser scanning systems for topographic applications
* Fuzzy spatial objects and their dynamics
* layered stereo matching algorithm using image segmentation and global visibility constraints, A
* On-line boosting-based car detection from aerial images
* Range determination with waveform recording laser systems using a Wiener Filter
* Recent developments on direct relative orientation
* Seamline detection in colour orthoimage mosaicking by use of twin snakes
* SPIRIT. SPOT 5 stereoscopic survey of Polar Ice: Reference Images and Topographies during the fourth International Polar Year (2007-2009)
18 for Award, Best Paper, ISPRS

Award, BMVC Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Object and Action Classification with Latent Variables

Award, BMVC, Application Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Real-time tracking of complex structures with on-line camera calibration

Award, BMVC, Best Impact Section: Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
* Branch&Rank: Non-Linear Object Detection

Award, BMVC, Best Poster Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Graph-based Particle Filter for Human Tracking with Stylistic Variations
* Hand detection using multiple proposals

Award, BMVC, Best Supplementary Material Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Skeletal Graph Based Human Pose Estimation in Real-Time

Award, BMVC, HM Poster Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* devil is in the details: An evaluation of recent feature encoding methods, The

Award, CVIU, Most Cited Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Object tracking using SIFT features and mean shift
* Recent advances in visual and infrared face recognition: A review
* Speeded-Up Robust Features (SURF)
* survey of approaches and challenges in 3D and multi-modal 3D-2D face recognition, A
7 for Award, CVIU, Most Cit

Award, CVPR HM 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)
* Chromatic Framework for Vision in Bad Weather
* In Search of Illumination Invariants

Award, CVPR 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: 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: 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: 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: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* Coupled Detection and Trajectory Estimation for Multi-Object Tracking
* Dynamic 3D Scene Analysis from a Moving Vehicle
* Efficient computation of robust low-rank matrix approximations in the presence of missing data using the L1 norm
* Hierarchical Object Recognition Using Libraries of Parameterized Model Sub-Parts
* Learning Bilinear Models for Two Factor Problems in Vision
* Morphable 3D Models from Video
* Object class recognition by unsupervised scale-invariant learning
* Optimal Structure from Motion: Local Ambiguities and Global Estimates
* Probabilistic Fusion of Stereo with Color and Contrast for Bi-Layer Segmentation
* Real-time human pose recognition in parts from single depth images
* Real-Time Non-Rigid Surface Detection
* Real-Time Tracking of Non-Rigid Objects using Mean Shift
* Robust Hierarchical Algorithm for Constructing a Mosaic from Images of the Curved Human Retina
* Single Image Haze Removal Using Dark Channel Prior
* What Is A Light Source?
* What is the Set of Images of an Object Under All Possible Lighting Conditions
25 for Award, CVPR

Award, CVPR, Best Paper 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: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Beyond sliding windows: Object localization by efficient subwindow search
* Global Stereo Reconstruction under Second-Order Smoothness Priors
* Putting Objects in Perspective

Award, CVPR, HM 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: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (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: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* Bi-Layer Segmentation of Binocular Stereo Video
* Constraint on five points in two images
* Discrete-continuous optimization for large-scale structure from motion
* Human Detection via Classification on Riemannian Manifolds
* Incremental learning of object detectors using a visual shape alphabet
* Non-Local Algorithm for Image Denoising, A
* Robust Online Appearance Models for Visual Tracking
* Spectral Matting
* Understanding and evaluating blind deconvolution algorithms
* Video Epitomes
17 for Award, CVPR, HM

Award, CVPR, Student HM Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* Dense Image Matching with Global and Local Statistical Criteria: A Variational Approach
* Model-Based Curve Evolution Technique for Image Segmentation

Award, CVPR, Student Paper HM Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* Epitomic Location Recognition

Award, CVPR, Student Paper Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Fast image search for learned metrics

Award, CVPR, Student Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
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: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (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: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* Nonparametric scene parsing: Label transfer via dense scene alignment
* Optimal Rigid Motion Estimation and Performance Evaluation with Bootstrap
* Recognition using visual phrases
* Separating reflective and fluorescent components of an image
* Statistical Shape Influence in Geodesic Active Contours
* Tracking and Modeling Non-Rigid Objects with Rank Constraints
* Tracking in Low Frame Rate Video: A Cascade Particle Filter with Discriminative Observers of Different Life Spans
* Vector-Valued Image Regularization with PDEs: A Common Framework for Different Applications
* Visual event recognition in videos by learning from web data
16 for Award, CVPR, Student

Award, CVPR, Student, HM Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (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)
* JPDAF Based HMM for Real-Time Contour Tracking
* Modeling mutual context of object and human pose in human-object interaction activities
* Tensor-Based Algorithm for High-Order Graph Matching, A

Award, DAGM 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)
* Motion Competition: Variational Integration of Motion Segmentation and Shape Regularization
* Relaxations for Binary Image Partitioning and Perceptual Grouping

Award, ECCV Best Paper Honorable Mention Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Blocks World Revisited: Image Understanding Using Qualitative Geometry and Mechanics

Award, ECCV * 3D Statistical Shape Models Using Direct Optimisation of Description Length
Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (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: Motion Analysis --Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
* Geometric Saliency of Curve Correspondences and Grouping of Symmetric Contours
* Increasing Space-Time Resolution in Video
* Multi-camera Scene Reconstruction via Graph Cuts
* Variational Approach to Shape from Defocus, A
* What Energy Functions Can Be Minimized via Graph Cuts?
11 for Award, ECCV

Award, ECCV, Cognitive Vision Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Object Recognition as Machine Translation: Learning a Lexicon for a Fixed Image Vocabulary

Award, IAPR, J.K. Aggarwal Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Context models and out-of-context objects

Award, ICCV Test of Time * *ICCV
Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* Geometric Hashing: A General and Efficient Model-Based Recognition Scheme

Award, ICIP Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* Video encoder based on lifting transforms on graphs

Award, ICIP, Student Paper Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
* Vector set-partitioning with successive refinement Voronoi lattice VQ for embedded wavelet image coding

Award, ICPR Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (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)
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)
Section: OCR, Document Analysis and Character Recognition Systems (H)
Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* Adaptive Color Curve Models for Image Matting
* Automated Gland Segmentation and Classification for Gleason Grading of Prostate Tissue Images
* Bound on the Performance of LDA in Randomly Projected Data Spaces, A
* HMM-based Word Spotting in Handwritten Documents Using Subword Models
* Inverse Multiple Instance Learning for Classifier Grids
* Large scalability in document image matching using text retrieval
* Multi-view Gait Recognition Based on Motion Regression Using Multilayer Perceptron
* Multiple-Shot Person Re-identification by HPE Signature
* PILL-ID: Matching and Retrieval of Drug Pill Imprint Images
* Text Separation from Mixed Documents Using a Tree-Structured Classifier
* Triangle-Constraint for Finding More Good Features
18 for Award, ICPR

Award, IJCAI 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)
* Reference Frames for Animate Vision
* Scale-Space Filtering

Award, IJCB Poster Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Investigating Age Invariant Face Recognition Based on Periocular Biometrics

Award, JVCIR Most Cited Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Image Retrieval: Current Techniques, Promising Directions, and Open Issues
* Vector sigma filters for noise detection and removal in color images

Award, King Sun Fu Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* dissimilarity space: Bridging structural and statistical pattern recognition, The
* Towards the unification of structural and statistical pattern recognition

Award, King Sun Fu, Related Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Generalized Median String Computation by Means of String Embedding in Vector Spaces
* Pattern analysis with graphs: Parallel work at Bern and York

Award, Longuet-Higgins * *CVPR
Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
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: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (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)
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: Optical Flow Field Computations and Use (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)
* Adaptive Background Mixture Models for Real-time Tracking
* Boundary Detection by Minimizing Functionals
* Combining Grey Value Invariants with Local Constraints for Object Recognition
* Efficient Matching of Pictorial Structures
* Layered Representation for Motion Analysis
* Neural Network-Based Face Detection
* Normalized Cuts and Image Segmentation
* Probabilistic Formulation for Object Recognition
* Rapid Object Detection using a Boosted Cascade of Simple Features
* Real-Time Tracking of Non-Rigid Objects using Mean Shift
* Statistics of Natural Images and Models
* Tracking People with Twists and Exponential Maps
* Training Support Vector Machines: An Application to Face Detection
25 for Award, Longuet-Higgins

Award, Louguet-Higgins * *CVPR

Award, Marr Prize * *ICCV
Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
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: 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: 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: Optical Flow Field Computations and Use (H)
Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
* Color from Black and White
* Detecting Pedestrians Using Patterns of Motion and Appearance
* Euclidean Reconstruction and Reprojection Up to Subgroups
* Extracting Projective Structure from Single Perspective Views of 3D Point Sets
* Globally Optimal Estimates for Geometric Reconstruction Problems
* Image Parsing: Unifying Segmentation, Detection, and Recognition
* Image-Based Rendering Using Image-Based Priors
* Maintaining Multiple Motion Model Hypotheses over Many Views to Recover Matching and Structure
* Natural Image Statistics for Natural Image Segmentation
* Optical Flow Using Spatiotemporal Filters
* Probabilistic Tracking in a Metric Space
* Self-Calibration and Metric Reconstruction in Spite of Varying and Unknown Internal Camera Parameters
* Shape from Interreflections
* Shape from Shading with Interreflections Under Proximal Light Source: 3D Shape Reconstruction of Unfolded Book Surface from a Scanner Image
* Space of All Stereo Images, The
* Theory of Shape by Space Carving, A
* Theory of Specular Surface Geometry, A
27 for Award, Marr Prize

Award, Marr Prize, HM 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 Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
Section: Books, Collections, Overviews, General, and Surveys (H)
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)
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: Optical Flow Field Computations and Use (H)
Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
* Active Vision
* Alignment by Maximization of Mutual Information
* Alignment of Non-Overlapping Sequences
* Complexity Level Analysis of Immediate Vision, A
* Detecting Irregularities in Images and in Video
* Equivalence of Julesz and Gibbs Texture Ensembles
* Hypergeometric Filters for Optical Flow and Affine Matching
* Motion Coherence Theory, The
* On Projection Matrices P^k, -> P^2, k=,3,..., 6, and their Applications in Computer Vision
* On the Spatial Statistics of Optical Flow
* Organization of Smooth Image Curves at Multiple Scales
* Probabilistic Detection and Tracking of Motion Discontinuities
* Reconstruction from Image Sequences by Means of Relative Depths
* Representing Oriented Piecewise C^2 Surfaces
* Snakes: Active Contour Models
* Stereo Matching with Transparency and Matting
* Theory of Refractive and Specular 3D Shape by Light-Path Triangulation, A
29 for Award, Marr Prize, HM

Award, Pattern Recognition, Best Paper Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* Prototype selection for dissimilarity-based classifiers
* Score normalization in multimodal biometric systems
* survey of content-based image retrieval with high-level semantics, A
* survey of kernel and spectral methods for clustering, A
7 for Award, Pattern Recognition, Best Paper

Award, Pattern Recognition, Honorable Meniton Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: OCR, Document Analysis and Character Recognition Systems (H)
Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* Fast and robust fuzzy c-means clustering algorithms incorporating local information for image segmentation
* Feature mining and pattern classification for steganalysis of LSB matching steganography in grayscale images
* Person recognition by fusing palmprint and palm vein images based on Laplacianpalm representation
* survey of skin-color modeling and detection methods, A
7 for Award, Pattern Recognition, Honorable Meniton

Award, Pattern Recognition, Honorable Mention * 3D wavelet-based multiresolution object representation
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: New Unsorted Entries, and Other Miscellaneous Papers (H)
Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* bibliographical study of grammatical inference, A
* Clustering of time series data: A survey
* Database, protocols and tools for evaluating score-level fusion algorithms in biometric authentication
* Face recognition from a single image per person: A survey
9 for Award, Pattern Recognition, Honorable Mention

Award, PROCAMS Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
* Prototyping a light field display involving direct observation of a video projector array

Award, PROCAMS, HM Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* mu-Nect: On using a gaming RGBD camera in micro-metrology applications

Award, SPS Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: OCR, Document Analysis and Character Recognition Systems (H)
* Secure Spread Spectrum Watermarking for Multimedia
* Wavelet-Based Analysis of Fractal Image Compression, A

Award, U.V. Helava, ISPRS * 3D City Models for CAAD-supported Analysis and Design of Urban Areas
Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
Section: Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR (H)
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Extraction, modelling, and use of linear features for restitution of airborne hyperspectral imagery
* Time geography for ad-hoc shared-ride trip planning in mobile geosensor networks

Award, WACV 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)
* Implementing high resolution structured light by exploiting projector blur
* Point-less calibration: Camera parameters from gradient-based alignment to edge images

Award, WACV, Student Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Group context learning for event recognition
* Predicting human gaze using quaternion DCT image signature saliency and face detection

Axial Descriptions [Provide a short definition]
Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: Axial Descriptions (H2)

Index for "b"