Keywords d

Damage Assessment [Provide a short definition]
Section: Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR (H)
Section: Change Detection for Damage Assessment (H3)
Section: Flood Analysis, Damage Assessment (H4)
Section: Landslide Analysis, Damage Assessment (H4)

Dance [Provide a short definition]
Section: Human Motion Capture, Dance Activities (H4)
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)

Data Fusion [Provide a short definition]
* 3-D Model Construction from Multiple Views Using Range and Intensity Data
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: Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR (H)
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
Section: Multiple Classifiers, Combining Classifiers, Combinations (H3)
Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
* Automatic Extraction of Generic House Roofs from High Resolution Aerial Imagery
* Information Fusion Problem and Rule Based Hypothesis Applied to Complex Aggregations of Image Events, The
* Markov Random Field Approach to Data Fusion and Colour Segmentation, A
* Parallel Integration of Vision Modules
* Segmentation of Range Images Via Data Fusion and Morphological Watersheds
* Segmenting Unstructured 3D Points into Surfaces
* Surface Reconstruction by Dynamic Integration of Focus, Camera Vergence, and Stereo
15 for Data Fusion

Data Hiding [Provide a short definition]
Section: Data Hiding, Steganography, LSB, Least Significant Bit (H3)
Section: Image Hiding, Data Hiding, Steganography, Steganalysis (H2)
Section: OCR, Document Analysis and Character Recognition Systems (H)
Section: Video Data Hiding, Data Hiding in Video, Video Steganography (H3)

Data Structures [Provide a short definition]
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
Section: System Issues, Data Structures (H3)
* Fast Algorithms for Basic Processing and Analysis Operations on Block-Represented Binary Images

Data Visualization [Provide a short definition]
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Data Visualization (H4)
* Analytical 3D views and virtual globes: Scientific results in a familiar spatial context

Database Organization [Provide a short definition]
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Organizing Large Structural Modelbases

Database [Provide a short definition]
* *Digital Image Storage and Archiving Systems
* *Storage and Retrieval for Image and Video Databases
* *Storage and Retrieval for Media Databases
* *Visual Communications and Image Processing '96
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: Database Indexing Using Bag of Words, Bag of Features (H3)
Section: Database Indexing Using Color and Shape or Regions (H3)
Section: Database Indexing Using Color (H3)
Section: Database Indexing Using Complex Features or Object Models (H4)
Section: Database Indexing Using Region Features (H4)
Section: Database Indexing Using Shape Descriptions and Features (H3)
Section: Database Indexing Using Texture (H3)
Section: Database Indexing Using Various Features (H3)
Section: Database Indexing, Specific Tasks (H3)
Section: Database Issues, Finding People (H2)
Section: Document Retrieval Systems, Databases and Issues, Libraries (H2)
Section: Extraction of Shape Features for Database Indexing, Feature Extraction (H4)
Section: Image Database -- Overall Systems (H2)
Section: Image Database Applications, Content Based Image Retrieval (H1)
Section: Image Database Indexing Techniques (H2)
Section: Image Database, Retrieval -- Surveys, Evaluations (H2)
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: Object Extraction, Object Detection for Database Indexing (H4)
Section: OCR, Document Analysis and Character Recognition Systems (H)
Section: Recognition by Color Indexing (H2)
Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
Section: Retrieval and Indexing Applied to Coded Images (H3)
Section: Shape and Texture Database Indexing (H3)
Section: Video Database General, Overview, Survey and Evaluations (H3)
Section: Video Database Indexing Systems (H3)
Section: Video Database Indexing Techniques (H3)
Section: Video Database Indexing, Color Analysis, Object Appearance (H4)
Section: Video Database Indexing, Motion Analysis (H4)
Section: Video Database Issues and Techniques (H2)
* Arrangement: A Spatial Relation Between Parts for Evaluating Similarity of Tomographic Section
* Automatic-Indexing and Content-Based Retrieval of Captioned Images
* Efficient Color Histogram Indexing for Quadratic Form Distance Functions
* Similar-Shape Retrieval in Shape Data Management
* Using Discriminant Eigenfeatures for Image Retrieval
41 for Database

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

Database, Fingerprints Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Real-Time Matching System for Large Fingerprint Databases

Database, Medical Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Boosting Framework for Visuality-Preserving Distance Metric Learning and Its Application to Medical Image Retrieval, A

Database, Survey Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Image Database Management

Dataset Definition:* A collections of images used by researchers to evaluate programs. This is distinct from the uses of database, which is usually used to describe database systems or research or image databases used for querys.
* *LHI Object Datasets
* *NEC Animal Dataset
* *Oxford Image Examples
* *PEIPA Computer Vision Software
* *Princeton
* *Washington Ground Truth Image Database
Section: Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR (H)
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Radius CDROM Ground Truthed Data Set, The
10 for Dataset

Dataset, 3-D Data * *ISPRS Terrestrial laser scanning and 3D imaging Datasets
* *NaturePix: Visual Cognitive Modeling Research
* *Stanford 3D Scanning Repository, The
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (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: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* How to measure the pose robustness of object views
* Three-Dimensional Model-Based Object Recognition and Segmentation in Cluttered Scenes
* WWW-Accessible 3D Image and Model Database for Computer Vision Research, A
10 for Dataset, 3-D Data

Dataset, 3-D Models * *Large Geometric Models Archive
Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)

Dataset, 3D Data * *CalTech Turntable Images
Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* Farman Institute 3D Point Sets: High Precision 3D Data Sets

Dataset, Action Recognition Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Action Similarity Labeling Challenge, The
* Active Range Imaging Dataset for Indoor Surveillance
* BEHAVE video dataset: Ground truthed video for multi-person behavior classification, The
* Free viewpoint action recognition using motion history volumes
* HMDB: A large video database for human motion recognition
* large-scale benchmark dataset for event recognition in surveillance video, A
* New Image Dataset on Human Interactions, A
* Novel Approach for Fast Action Recognition using Simple Features, A
9 for Dataset, Action Recognition

Dataset, Actions Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Actions as Space-Time Shapes
* POETICON enacted scenario corpus: A tool for human and computational experiments on action understanding, The
* Propagation networks for recognition of partially ordered sequential action
* Recognizing human actions: a local SVM approach
* Tracking Multiple Objects through Occlusions

Dataset, Active Appearance Model * *Active Appearance Models
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)

Dataset, Activity Recognition Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Guide to the Carnegie Mellon University Multimodal Activity (CMU-MMAC) Database
* human motion database: A cognitive and parametric sampling of human motion, The
* Opportunity challenge: A benchmark database for on-body sensor-based activity recognition, The
* survey of video datasets for human action and activity recognition, A
* TUM Kitchen Data Set of everyday manipulation activities for motion tracking and action recognition, The

Dataset, Activity Recogniton * *CLEAR: Classification of Events, Activities and Relationships
* *i-LIDS: Bag and vehicle detection challenge
* *OTCBVS Benchmark Dataset Collection
* *PETS 2001 Benchmark Data
* *PETS 2006 Benchmark Data
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* CHIL RT07 Evaluation Data, The
7 for Dataset, Activity Recogniton

Dataset, Aerial Images * *Aerial Image Dataset

Dataset, Aesthetic Analysis Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* AVA: A large-scale database for aesthetic visual analysis

Dataset, Arabic Text Section: OCR, Document Analysis and Character Recognition Systems (H)
* KHATT: An open Arabic offline handwritten text database

Dataset, Arabic * *ERIM Arabic Document Database
Section: OCR, Document Analysis and Character Recognition Systems (H)
* QUWI: An Arabic and English Handwriting Dataset for Offline Writer Identification

Dataset, Attion Recognition Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Hollywood 3D: Recognizing Actions in 3D Natural Scenes

Dataset, Bangla Section: OCR, Document Analysis and Character Recognition Systems (H)
* CMATERdb1: A database of unconstrained handwritten Bangla and Bangla-English mixed script document image

Dataset, Biometrics * *BANCA Database, The
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* biometric database with rotating head videos and hand-drawn face sketches, A
* Biosec baseline corpus: A multimodal biometric database
* MCYT baseline corpus: a bimodal biometric database
* Multiscenario Multienvironment BioSecure Multimodal Database (BMDB), The
* Two Unconstrained Biometric Databases
* West Pomeranian University of Technology Ear Database: A Tool for Testing Biometric Algorithms, The
* XM2VTSDB: The Extended M2VTS Database
9 for Dataset, Biometrics

Dataset, Building Detection * *ISPRS benchmark on urban object detection and 3D building reconstruction
Section: Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR (H)

Dataset, Buildings Section: Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR (H)
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Calibrated, Registered Images of an Extended Urban Area
* Digital Basic Geodata Sets Hausumringe and Hauskoordinaten: Characterization and Pre-processing for Building Stock Analysis, The
* Object retrieval with large vocabularies and fast spatial matching

Dataset, Cardiac MRI Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
* Cardiac MRI dataset

Dataset, Change Detection Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* CDnet 2014: An Expanded Change Detection Benchmark Dataset
* Changedetection.net: A new change detection benchmark dataset
* Novel Video Dataset for Change Detection Benchmarking, A

Dataset, Checks Section: OCR, Document Analysis and Character Recognition Systems (H)
* new database for research on bank-check processing, A

Dataset, Chinese Characters Section: OCR, Document Analysis and Character Recognition Systems (H)
* SCUT-COUCH Textline_NU: An Unconstrained Online Handwritten Chinese Text Lines Dataset

Dataset, Color Calibration Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* Camera characterization for color research

Dataset, Color Constancy Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* Data Set for Colour Research, A

Dataset, Color Images Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* New Color Image Database TID2013: Innovations and Results, A

Dataset, Comics Section: OCR, Document Analysis and Character Recognition Systems (H)
* eBDtheque: A Representative Database of Comics

Dataset, Cultural Heritage * *CyArk
Section: Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR (H)

Dataset, Discussion Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Dataset Issues in Object Recognition

Dataset, Document Analysis Section: OCR, Document Analysis and Character Recognition Systems (H)
* Media Team Document Database II

Dataset, Document Images Section: OCR, Document Analysis and Character Recognition Systems (H)
* IUPR Dataset of Camera-Captured Document Images, The

Dataset, Documents * *NIST OCR Databases
* *Warped Documents, IUPR
Section: OCR, Document Analysis and Character Recognition Systems (H)
* UvA color document dataset, The

Dataset, Emotions Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Belfast Induced Natural Emotion Database, The

Dataset, Event Recognition Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Event Recognition in Photo Collections with a Stopwatch HMM
* large-scale benchmark dataset for event recognition in surveillance video, A

Dataset, Expression Recognition Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Analyses of a Multimodal Spontaneous Facial Expression Database

Dataset, Expressions * *POSTECH Face Database
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Comprehensive Database for Facial Expression Analysis

Dataset, Eye Fixation Section: Books, Collections, Overviews, General, and Surveys (H)
* Eye Fixation Database for Saliency Detection in Images, An

Dataset, Eye Tracking Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Eye-Tracking Database for a Set of Standard Video Sequences

Dataset, Face Recognition * *OTCBVS Benchmark Dataset Collection
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* CASIA NIR-VIS 2.0 Face Database, The

Dataset, Faces * *Annotated Facial Dataset
* *AR Face Database, The
* *BioID Face Database
* *CAS-PEAL Large-Scale Chinese Face Database and Baseline Evaluations, The
* *CMU Facial Expression Database
* *CMU Profile Face Images
* *Color FERET Database, The
* *CVL Face Database
* *Description of the Collection of Facial Images
* *Equinox: Human Identification at a Distance
* *Face Detection Home Page
* *Face Recognition Vendor Test 2006
* *Face Recogniton Home Page
* *FacePix Database
* *FaceScrub Annotated Face Dataset
* *FDDB: Face Detection Data Set and Benchmark
* *FERET Database, The
* *Frontal Face Images
* *MIT Face Recognition Database
* *NIST Mugshot Identification Database
* *ORL Database of Faces, The
* *POSTECH Face Database
* *UB KinFace Database
* *UCD Colour Face Image Database for Face Detection, The
* *UMIST Face Database, The
* *University of Oulu Face Video Database, The
* *University of Oulu Physics-Based Face Database, The
* *Yale Face Database
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* CMU Pose, Illumination, and Expression Database, The
* Comprehensive Database for Facial Expression Analysis
* FERET Database and Evaluation Procedure for Face-Recognition Algorithms, The
* FERET Evaluation Methodology for Face-Recognition Algorithms, The
* Hyperspectral Face Database
* Iranian Face Database with age, pose and expression
* Labeled faces in the wild: A database for studying face recognition in unconstrained environments
* Large-Scale Database of Images and Captions for Automatic Face Naming, A
* Multi-PIE
* new multi-purpose audio-visual UNMC-VIER database with multiple variabilities, A
* Photoface database, The
* Single- and cross- database benchmarks for gender classification under unconstrained settings
* Texas 3D Face Recognition Database
* UHDB11 Database for 3D-2D Face Recognition
* UMB-DB: A database of partially occluded 3D faces
* VADANA: A dense dataset for facial image analysis
* VALID: A New Practical Audio-Visual Database, and Comparative Results
* Video Database of Moving Faces and People, A
47 for Dataset, Faces

Dataset, Faces, Features Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Annotated Facial Landmarks in the Wild: A large-scale, real-world database for facial landmark localization

Dataset, Facial Action Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* DISFA: A Spontaneous Facial Action Intensity Database

Dataset, Facial Expression * *CMU Facial Expression Database
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Painful data: The UNBC-McMaster shoulder pain expression archive database
* Thermal Facial Emotion Database and Its Analysis, A

Dataset, Facial Expressions * *Oulu-CASIA NIR&VIS facial expression database
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Affectiva-MIT Facial Expression Dataset (AM-FED): Naturalistic and Spontaneous Facial Expressions Collected In-the-Wild
* Cardiff Conversation Database (CCDb): A Database of Natural Dyadic Conversations
* CASME database: A dataset of spontaneous micro-expressions collected from neutralized faces
* Coding Facial Expressions with Gabor Wavelets
* Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression, The
* Hi4D-ADSIP 3-D dynamic facial articulation database
* high-resolution 3D dynamic facial expression database, A
* High-resolution comprehensive 3-D dynamic database for facial articulation analysis
* high-resolution spontaneous 3D dynamic facial expression database, A
* Natural Visible and Infrared Facial Expression Database for Expression Recognition and Emotion Inference, A
12 for Dataset, Facial Expressions

Dataset, Farsi Handwriting Section: OCR, Document Analysis and Character Recognition Systems (H)
* New Large-Scale Multi-purpose Handwritten Farsi Database, A

Dataset, Fingerprints Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* FVC2000: Fingerprint Verification Competition
* Handbook of Fingerprint Recognition
* NIST Special Database 4, Fingerprint Database

Dataset, Fish * *Tropical Coral Reef Fish Detection, Tracking And Classification
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)

Dataset, Flowers Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Automated Flower Classification over a Large Number of Classes

Dataset, Foreground Extraction Section: Motion Analysis --Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
* Benchmark Dataset for Outdoor Foreground/Background Extraction, A

Dataset, Formula Section: OCR, Document Analysis and Character Recognition Systems (H)
* MfrDB: Database of Annotated On-Line Mathematical Formulae

Dataset, Gait Recognition Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* University of Southampton Multi-Biometric Tunnel and introducing a novel 3D gait dataset, The

Dataset, Gait * *Baseline Algorithm and Performance for Gait Based Human ID Challenge Problem
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)

Dataset, Gesture Recognition Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* G3D: A gaming action dataset and real time action recognition evaluation framework

Dataset, Gesture * *POSTECH Face Database
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* ChaLearn gesture dataset (CGD 2011), The

Dataset, Gestures * 3-D Audio-Visual Corpus of Affective Communication, A
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)

Dataset, Hand Gestures Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* natural and synthetic corpus for benchmarking of hand gesture recognition systems, A

Dataset, Handwriting * *Ground Truthed Handwritten Word Images
* *On-line Handwriting Database
* *Unipen Project
* *USPS Office of Advanced Technology Database of Handwritten Cities, States, ZIP Codes, Digits, and Alphabetic Characters
Section: OCR, Document Analysis and Character Recognition Systems (H)
* Database for Handwritten Text Recognition Research, A
* MAYASTROUN: A Multilanguage Handwriting Database
7 for Dataset, Handwriting

Dataset, Handwritting, Arabic Section: OCR, Document Analysis and Character Recognition Systems (H)
* KHATT: Arabic Offline Handwritten Text Database

Dataset, Human Actions Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Berkeley MHAD: A comprehensive Multimodal Human Action Database

Dataset, Human Activity Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* PROMETHEUS: heterogeneous sensor database in support of research on human behavioral patterns in unrestricted environments

Dataset, Human Affect Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* New Multi-modal Dataset for Human Affect Analysis, A

Dataset, Human Motion Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* HumanEva: Synchronized Video and Motion Capture Dataset and Baseline Algorithm for Evaluation of Articulated Human Motion
* INRIA Person Dataset

Dataset, Human Pose Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* UMPM benchmark: A multi-person dataset with synchronized video and motion capture data for evaluation of articulated human motion and interaction

Dataset, Human Tracking * *Edinburgh Informatics Forum Pedestrian Database
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)

Dataset, Humans * *H3D Dataset
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)

Dataset, Hyperspectral Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* Information limits on neural identification of coloured surfaces in natural scenes
* Statistics of spatial cone-excitation ratios in natural scenes

Dataset, Image Matting * *Alpha Matting Evaluation Website
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)

Dataset, Image Quality Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
* CID:IQ: A New Image Quality Database

Dataset, Image Retrieval * *Large Scale Dataset for Cross-Model Multimedia Analysis
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Evaluating Image Retrieval

Dataset, Image Stitching * *Image Stitching Database
Section: Motion Analysis --Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)

Dataset, Images * *Abel Stock
* *CalTech Archived Images
* *OSU Datasets
* *University of Southern California, Signal and Image Processing

Dataset, Infrared Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Multi-spectral dataset and its application in saliency detection

Dataset, Iris Images * *CASIA Iris Image Database
* *Iris Recognition Database
* *Iris Recognition Database
* *NIST ICE Iris Image Database
* *UBIRIS database
* *UTIRIS: University of Tehran IRIS Image Repository
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Iris Database
8 for Dataset, Iris Images

Dataset, Iris Recognition Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* IV2 Multimodal Biometric Database (Including Iris, 2D, 3D, Stereoscopic, and Talking Face Data), and the IV2-2007 Evaluation Campaign, The
* UBIRIS.v2: A Database of Visible Wavelength Iris Images Captured On-the-Move and At-a-Distance, The

Dataset, Landmarks Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* PKUBench: A context rich mobile visual search benchmark

Dataset, Laughter Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* MAHNOB Laughter database, The

Dataset, Lip Reading * *Language Independent Lip Reading
* *OuluVS database
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)

Dataset, Logos * *FlickrLogos-32
Section: OCR, Document Analysis and Character Recognition Systems (H)

Dataset, Lumber * *Wood image database
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)

Dataset, Mammography * *DDSM: Digital Database for Screening Mammography
* *MiniMammographic Database
Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)

Dataset, Matching Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* Registration of Challenging Image Pairs: Initialization, Estimation, and Decision

Dataset, Medical Images * *Medical Dataset Archive
* *Visible Human Project
Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)

Dataset, Motion Capture * *CMU Graphics Lab Motion Capture Database
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)

Dataset, Motion Detection * *Change Detection Benchmark Website
Section: Motion Analysis --Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)

Dataset, Motion * *CMU VASC Image Database
* *Hopkins 155
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)
* FeEval A Dataset for Evaluation of Spatio-temporal Local Features
* Human-assisted motion annotation
7 for Dataset, Motion

Dataset, Multi-View Data * *University of Illinois Datasets

Dataset, Natural Image Text Section: OCR, Document Analysis and Character Recognition Systems (H)
* NEOCR: A Configurable Dataset for Natural Image Text Recognition

Dataset, Natural Scenes * *CalTech 100 Natural Scenes
* *University of Illinois Datasets

Dataset, Navigation Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* Indoor RGB-D Dataset for the Evaluation of Robot Navigation Algorithms, An

Dataset, Object Detection Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* CBCL StreetScenes Challenge Framework

Dataset, Object Recognition * *LHI Object Datasets
* *NEC Animal Dataset
* *University of Illinois Datasets
* *Xcavator.Net
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* iCub World: Friendly Robots Help Building Good Vision Data-Sets
* Object Recognition as Machine Translation: Learning a Lexicon for a Fixed Image Vocabulary
7 for Dataset, Object Recognition

Dataset, Objects * *Animals with Attributes: A dataset for Attribute Based Classification
* *CalTech 101 Objects Categories
* *Image Net
* *PASCAL Object Recognition Database Collection, The
* *Video Objects: A Test Database for Video Object Recognition
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)
* Amsterdam Library of Object Images, The
* Columbia Object Image Library (COIL-100)
* Learning methods for generic object recognition with invariance to pose and lighting
* Lost in quantization: Improving particular object retrieval in large scale image databases
* Microsoft COCO: Common Objects in Context
12 for Dataset, Objects

Dataset, OCR * *ERIM Arabic Document Database
* *Japanese Character Image Database
* *NIST OCR Databases
* *UMD Logo Database
Section: OCR, Document Analysis and Character Recognition Systems (H)
* CASIA Online and Offline Chinese Handwriting Databases
* CASIA-OLHWDB1: A Database of Online Handwritten Chinese Characters
* Creation of a Huge Annotated Database for Tamil and Kannada OHR
* Empirical Evaluation on HIT-OR3C Database, An
* FHT: An Unconstraint Farsi Handwritten Text Database
* GERMANA Database, The
* HAMEX: A Handwritten and Audio Dataset of Mathematical Expressions
* HCL2000: A Large-scale Handwritten Chinese Character Database for Handwritten Character Recognition
* IBM_UB_1: A Dual Mode Unconstrained English Handwriting Dataset
14 for Dataset, OCR

Dataset, Optical Flow Section: Optical Flow Field Computations and Use (H)
* Database and Evaluation Methodology for Optical Flow, A

Dataset, Outdoor Scene Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
* All the Images of an Outdoor Scene

Dataset, Pedestrian Detection * *Daimler Pedestrian Detection Benchmark
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* IAIR-CarPed: A psychophysically annotated dataset with fine-grained and layered semantic labels for object recognition

Dataset, Pedestrians Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Experimental Study on Pedestrian Classification, An

Dataset, People Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* Accurate Object Localization with Shape Masks

Dataset, Perceptual Grouping Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* in-depth study of graph partitioning measures for perceptual organization, An

Dataset, Person Detection Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* corpus for benchmarking of people detection algorithms, A

Dataset, Photogrammetry Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
* Internet database for photogrammetric close range applications

Dataset, Pottery * *Beazley Archive of Classical Art Pottery Database, The
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)

Dataset, Re-Identification Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Database for Person Re-Identification in Multi-Camera Surveillance Networks, A

Dataset, Recognition Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Geometric Context from a Single Image

Dataset, Retina Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
* DIARETDB1 diabetic retinopathy database and evaluation protocol, The

Dataset, Retrieval * *BBC Motion Gallery
* *Washington Ground Truth Image Database
* 80 Million Tiny Images: A Large Data Set for Nonparametric Object and Scene Recognition
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* LableMe: The Open Annotation Tool
* segmented and annotated IAPR TC-12 benchmark, The

Dataset, Scene Understanding Section: Motion Analysis --Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
* SUN3D: A Database of Big Spaces Reconstructed Using SfM and Object Labels

Dataset, Segmentation * *LHI Segmentation Dataset
* *LHI Surveillance Dataset
* *Lotus Hill Institute
* *Validation and Verification of Neural Network Systems
Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Berkeley Segmentation Dataset and Benchmark, The
* Database of human segmented images and its application in boundary detection
* Evaluation of Localized Semantics: Data, Methodology, and Experiments
9 for Dataset, Segmentation

Dataset, Shading Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
* Ground truth dataset and baseline evaluations for intrinsic image algorithms

Dataset, Shape from X Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
* Benchmark Dataset for Performance Evaluation of Shape-from-X Algorithms, A

Dataset, Sign Language Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Long Term Arm and Hand Tracking for Continuous Sign Language TV Broadcasts

Dataset, Signatures Section: OCR, Document Analysis and Character Recognition Systems (H)
* SID Signature Database: A Tunisian Off-line Handwritten Signature Database

Dataset, SLAM Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* benchmarking tool for MAV visual pose estimation, A

Dataset, Spectral Imaging * *Spectral Imaging Data Base

Dataset, Sports * *LHI Sports Activity Dataset
* *UCF Sports Action Dataset
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)

Dataset, Steganalysis Section: OCR, Document Analysis and Character Recognition Systems (H)
* Unseen Challenge data sets, The

Dataset, Stereo Data * *University of Illinois Datasets

Dataset, Stereo * *CVLab dense multi-view stereo image database
* *IS-3D: Data
Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
* Benchmarking Stereo Data (Not the Matching Algorithms)
* category-level 3-D object dataset: Putting the Kinect to work, A
* Going into depth: Evaluating 2D and 3D cues for object classification on a new, large-scale object dataset
* High-Resolution Stereo Datasets with Subpixel-Accurate Ground Truth
* Synthesizing Real World Stereo Challenges
* Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms, A
9 for Dataset, Stereo

Dataset, Surface Reconstruction Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Benchmarking Dataset for Performance Evaluation of Automatic Surface Reconstruction Algorithms, A

Dataset, Surveillance * *Daimler Pedestrian Detection Benchmark
* *Edinburgh Informatics Forum Pedestrian Database
* *MIT Pedestrian Database MITP
* *PETS Benchmark Data
* *UCF Action Recogniton Dataset 50
* *UCF-ARG
* *UCF-iPhone
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)
* Crowd Flow Segmentation and Stability Analysis
* Lagrangian Particle Dynamics Approach for Crowd Flow Segmentation and Stability Analysis, A
* LOST: Longterm Observation of Scenes (with Tracks)
* PETS 2014: Dataset and challenge
* Terrascope Dataset: Scripted Multi-Camera Indoor Video Surveillance with Ground-truth, The
14 for Dataset, Surveillance

Dataset, Symmetry Images Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Curved Glide-Reflection Symmetry Detection

Dataset, Text in Images * *Computer Vision Lab OCR DataBase: CVL OCR DB
Section: OCR, Document Analysis and Character Recognition Systems (H)

Dataset, Text Retrieval * *Large Scale Dataset for Cross-Model Multimedia Analysis
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)

Dataset, Texture * *CUReT: Columbia-Utrecht Reflectance and Texture Database
* *KTH-TIPS and KTH-TIPS2 image databases, The
* *MIT Texture Data
* *Outex: New framework for empirical evaluation of texture analysis algorithms
* *Texture Data
* *Texure Image Data
* *TILDA: Textile Texture Database
* *University of Illinois Datasets
Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* PSU Near-Regular Texture Database
* Texture databases: A comprehensive survey
11 for Dataset, Texture

Dataset, Tracking * *OTCBVS Benchmark Dataset Collection
* *UCF Parking Lot Tracking
Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Evaluation of Interest Point Detectors and Feature Descriptors for Visual Tracking
* Floor Fields for Tracking in High Density Crowd Scenes
* Tracking by an Optimal Sequence of Linear Predictors
7 for Dataset, Tracking

Dataset, Traffic Signs * *Swedish Trafic Signs
Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)

Dataset, Traffic Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Multi-sensor Traffic Scene Dataset with Omnidirectional Video, A

Dataset, Urdu Handwriting Section: OCR, Document Analysis and Character Recognition Systems (H)
* New Large Urdu Database for Off-Line Handwriting Recognition, A

Dataset, Vehicles * *MIT Car Database MITC
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)
Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* Learning to Detect Objects in Images via a Sparse, Part-Based Representation
* NYC3DCars: A Dataset of 3D Vehicles in Geographic Context

Dataset, Video Database * *Large Scale Video Database
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)

Dataset, Video * *BBC Motion Gallery
* *BEHAVE Interactions Test Case Scenarios
* *CAVIAR Test Case Scenarios
* *CVBASE Annotated Video Data
* *Optic Flow Data
* *University of Illinois Datasets
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)
8 for Dataset, Video

Dataset, Visual Hull * *University of Illinois Datasets

Dataset, Writer Identification Section: OCR, Document Analysis and Character Recognition Systems (H)
* CVL-DataBase: An Off-Line Database for Writer Retrieval, Writer Identification and Word Spotting

Dataset,Surveillance Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Dana36: A Multi-camera Image Dataset for Object Identification in Surveillance Scenarios

Dataste, Faces Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* HFB Face Database for Heterogeneous Face Biometrics research, The

Dateset, Facial Expressions Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Collecting Large, Richly Annotated Facial-Expression Databases from Movies

DCT Definition:* Discrete Cosine Transform.
Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: Cosine Transform, DCT Compression (H2)
Section: DCT Computation (H3)
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Section: OCR, Document Analysis and Character Recognition Systems (H)
Section: Watermarks in Transform Domains, Compressed Images (H2)
7 for DCT

Deblocking [Provide a short definition]
Section: Block Coding -- Reduce Block Artifacts, Effects, Deblocking (H3)
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)

Deblurring [Provide a short definition]
Section: Deblurring, Gaussian Blur (H3)
Section: Motion Analysis --Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
Section: Super Resolution and Restoration from Blurred Images, Motion Blur (H3)

Decimation [Provide a short definition]
Section: Image Manipulation -- Sampling, Reduction, Decimation, General Size Changes, Resizing (H3)
Section: Motion Analysis --Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)

Decision Fusion [Provide a short definition]
Section: Decision Fusion (H3)
Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)

Decision Tree [Provide a short definition]
Section: Decision Trees (H2)
Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* Extracting Decision Trees from Trained Neural Networks
* Multiscale Classifier, The

Deconvolution [Provide a short definition]
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Section: Restoration by Deconvolution, Blind Deconvolution (H2)

Defect Detection [Provide a short definition]
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)
Section: Inspection -- Chips, Wafers, PCB, PWB, VLSI, IC, Disks, etc. (H3)
Section: Inspection -- Defect Detection, Crack Detection (H3)
Section: Inspection -- Lumber, Logs, Wood (H3)
Section: Inspection -- Metal Inspection, Castings, Machining (H3)
Section: Texture for Defect Detection (H2)
7 for Defect Detection

Deformable Curves [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: Interactive Region Segmentations, Snakes, User-Assisted Segmentation (H4)
Section: Snakes, Algorithms for Computation (H3)
Section: Snakes, Applications (H3)
Section: Snakes, General Techniques and Descriptions (H3)
Section: Snakes, Matching Deformable Contours (H3)
Section: Snakes, Restricted Curves, Splines, etc. (H2)
Section: Tracking Applied to Heart Images (H3)
Section: Tracking Deformable Shapes (H3)
Section: Variational Models, Snake Models, Active Contours (H4)
14 for Deformable Curves

Deformable Models [Provide a short definition]
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Deformable Models for Segmentation (H2)
Section: Deformable Models, General, Overview (H2)
Section: Level Set Models for Volumes (H3)
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
Section: Representations for Deformable Models (H2)
* Generalized Thin-Plate Spline Warps
* Inferring 2D Object Structure from the Deformation of Apparent Contours
8 for Deformable Models

Deformable Motion [Provide a short definition]
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Nonrigid, Non-Rigid, Deformable Motion Analysis and Tracking (H2)

Deformable Solids [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)
Section: Balloon Models (H2)
Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: Deformable Models, Cardiac Motion Models for Volumes, Left Ventricle (H3)
Section: Deformable Models, Medical Applications (H2)
Section: Deformable Models, University of Manchester Papers (H2)
Section: Deformable Solids -- Pentland Papers (H2)
Section: Deformable Solids -- Terzopoulos Papers (H2)
Section: Nonrigid, Non-Rigid, Deformable Motion Analysis and Tracking (H2)
Section: SuperQuadric Representations (H1)
Section: Surfaces, Rubber Sheets, Plates (H2)
* Perceptual Organization and the Representation of Natural Form
13 for Deformable Solids

Deformable Surfaces [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)
Section: Representations for Deformable Models (H2)

Deformable Template [Provide a short definition]
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: Deformable Template Matching (H3)
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* Active Appearance Models
* Bayesian Framework for Deformable Pattern Recognition with Application to Handwritten Character Recognition
* Deformable Template Approach to Detecting Straight Edges in Radar Images, A
* Interpretation of Synthetic Aperture Radar Image Using Projective Invariants and Deformable Templates, The
* Object Matching Using Deformable Templates
* Representation and Matching of Pictorial Structures, The
* Scale Space Based Deformable Template Matching Algorithm, A
* Structural Image Restoration through Deformable Templates
* Visual Image Retrieval by Elastic Matching of User Sketches
16 for Deformable Template

Deformation Matching [Provide a short definition]
Section: Image Registration, Match Measures, Deformation, Affine Matching (H4)
Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)

Deformation [Provide a short definition]
Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: Surface Deformation From SAR, InSAR, IFSAR, Interferometry (H3)

Dehazing [Provide a short definition]
Section: Color Correction, Weather Effects, Haze, Dehazing (H3)
Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)

Deinterlace [Provide a short definition]
Section: Deinterlacing, De-Interlacing (H3)
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)

Delaunay Tetrahedrization [Provide a short definition]
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Triangulated Surface Models, Mesh Models, Mesh Descriptions, 3-D Meshes (H3)

Delaunay Triangulation [Provide a short definition]
Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: Voronoi Diagrams, Delaunay Triangulation, 2-D Meshes (H2)

Delaunay [Provide a short definition]
Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Division-Based Analysis Of Symmetry And Its Application

DEM Definition:* Digital Elevation Model.
Section: Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR (H)
Section: Terrain Extraction, DEM, DTM, DSM (H1)

DEM, Evaluation Section: Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR (H)
Section: DEM, DSM, DTM, Evaluations, Valdiation, Surveys, Overviews (H2)

Demosaic [Provide a short definition]
Section: Demosaicing, Demosaicking (H2)
Section: Motion Analysis --Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)

Dempster-Shafer [Provide a short definition]
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Mathematical Theory of Evidence, A
* Statistical Viewpoint on the Theory of Evidence, A

Denoising [Provide a short definition]
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Section: Noise Removal, Adaptive, Non-linear Techniques (H3)
Section: Noise Removal, Denoising (H2)
Section: Noise Removal, Impulse Noise, Salt and Pepper (H3)
Section: Poisson Noise Removal (H3)
Section: Total Variation Restoration (H3)

Dental Identification [Provide a short definition]
Section: Dental Identification, Dental Biometrics (H2)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)

Depth Coding [Provide a short definition]
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Section: Multi Dimensional Coding, Stereo Coding, Disparity Maps, 3-D Shapes (H2)

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

Depth from Focus [Provide a short definition]
Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
Section: Depth and Shape from Focus, Changing Camera Parameters (H1)

Depth from Motion [Provide a short definition]
Section: Motion Analysis --Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
Section: Optical Flow Field Computations and Use (H)
* On the Estimation of Depth from Motion Using an Anthropomorphic Visual Sensor
* Using Camera Motion to Estimate Range for Robotic Parts Manipulation

Depth Hole Filling [Provide a short definition]
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Inpainting, Inpainting Range Images, Range, Depth Data (H4)

Depth Measurement, Survey Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* Perspective on Range Finding Techniques for Computer Vision, A

Depth of Field [Provide a short definition]
Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
Section: Depth of Field, Desctiptions (H2)

Depth Sensor [Provide a short definition]
Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: Depth, Range Sensors for Machine Vision (H2)
Section: Interferometric SAR Analysis, InSAR, IFSAR, ISAR (H2)
Section: Laser Sensors for Range (H3)

Depth [Provide a short definition]
Section: Face Recognition Using Three-Dimensional Models, 3-D Models (H3)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Gait Analysis, Depth, 3-D Data, 3-D from Gait (H4)
Section: Gesture Systems, Using Depth Images, Range Data, Stereo Analysis for Gestures (H4)
Section: Human Action Recognition and Detection Using Depth, RGB-D, Kinect (H4)
Section: Human Detection, People Detection, Pedestrians, Using Depth, Stereo (H4)
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
Section: Tracking People with 3D Models, Articulation Models (H4)
Section: Tracking People with Multiple Cameras, Stereo, or Depth (H4)
9 for Depth

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

Descriptions, CAD Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Graphics and CAD Based Vision, CAD Models (H1)
* Spherical Dual Images: A 3D Representation Method for Solid Objects that Combines Dual Space and Gaussian Spheres

Descriptions, EGI Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Gaussian Sphere (EGI), Intrinsic Images, and Surface Orientations (H

Descriptions, Facet Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Facet Model for Descriptions, The (H2)

Descriptions, General Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Other Description Techniques (H1)
* None

Descriptions, Generalized Cylinders Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Generalized Cylinders -- Generation (H2)
Section: Generalized Cylinders -- Theory (H2)
Section: Generalized Cylinders -- Use (H2)
Section: Generalized Cylinders, Medial Axis Descriptions (H1)
* Representation and Recognition of Three-Dimensional Shapes
* Visual Perception by Computer
7 for Descriptions, Generalized Cylinders

Descriptions, Geons Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Human Image Understanding: Recent Research and a Theory
* Primitive-Based Shape Modeling and Recognition

Descriptions, Meshes Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Generation or Representation of Surface Patches (H1)

Descriptions, Occupancy Grids Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Occupancy Grids, Voxels (H2)

Descriptions, Octree Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR (H)
Section: Oct-Trees (or Octrees) and Voxels for Three-Dimensional Descriptions (H
* Managing Large 3D Urban Database Contents Supporting Phototexture and Levels of Detail

Descriptions, Parametric Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Range Image Interpretation of Mail Pieces with Superquadrics

Descriptions, Parts 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)
Section: Representation of Parts, Part-Based Models (H1)
* Arrangement: A Spatial Relation Between Parts for Evaluating Similarity of Tomographic Section
* Finding and Describing Objects in Complex Images
* Object Recognition by Functional Parts
* Structured Description of Complex Objects
7 for Descriptions, Parts

Descriptions, Planar Patches Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Planar Patches from Range, Planar Surfaces (H2)

Descriptions, Range and Regions Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Region Techniques for Range and Surfaces (H2)

Descriptions, Relational Network Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Descriptions Based on Relational Network Structures (H1)

Descriptions, Ribbons Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: Ribbon Descriptions (H2)

Descriptions, Scale Space Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: Scale Space for Descriptions (H2)
Section: Scale Space Theory (H2)

Descriptions, Superquadrics Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Range Image Interpretation of Mail Pieces with Superquadrics

Descriptions, Surface Curvature Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Curvature and Features of Surfaces and Range Data (H2)

Descriptions, Surface Patches Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Generation or Representation of Surface Patches (H1)
Section: Polygonal Surface Patch Models (H3)
Section: Surface Patches, Planes, Descriptions from Range (H2)

Descriptions, Three-Dimensional Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR (H)
Section: Other Description Techniques (H1)
Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
Section: Roof Structure, 3-D (H2)
Section: Three-Dimensional Descriptions -- General (H1)
* Range Image Understanding
* Recent Progress in the Recognition of Objects from Range Data
8 for Descriptions, Three-Dimensional

Descriptions, Voxels Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Oct-Trees (or Octrees) and Voxels for Three-Dimensional Descriptions (H
* Building an Environment Model Using Depth Information

Desktop [Provide a short definition]
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Gesture Systems, Surfaces, Desks, Tables (H4)

Detection of Moving Objects [Provide a short definition]
Section: Optical Flow Field Computations and Use (H)
* Detection of Independent Motion Using Directional Motion Estimation

Detection [Provide a short definition]
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Finding Faces in Images, Face Detection (H2)

Devanagari [Provide a short definition]
Section: Devanagari, Indic, Hindi, Hindu, Bangla, Bengali, Telugu, Characters (H3)
Section: OCR, Document Analysis and Character Recognition Systems (H)

Diabetic Retinopathy [Provide a short definition]
Section: Diabetic Retinopathy, Retinal Analysis Application (H2)
Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)

Dialogue [Provide a short definition]
Section: Books, Collections, Overviews, General, and Surveys (H)
* Computational and Evolutionary Perspective on the Role of Representation in Vision, A
* Dialogue: Ignorance, Myopia, and Naivete in Computer Vision Systems
* Expert Vision Systems: Some Issues
* Methodology for Experimental Computer Vision

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

Differential Geometry [Provide a short definition]
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Two-Plus-One-Dimensional Differential Geometry

Differential Invariants [Provide a short definition]
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Recognizing 3D Objects Using Tactile Sensing and Curve Invariants

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

Differentiation Filter [Provide a short definition]
Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* High-Order Differentiation Filters That Work

Diffraction Tomography [Provide a short definition]
Section: Diffraction Tomography (H2)
Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)

Diffuse Illumination [Provide a short definition]
Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
* Shape from Shading on a Cloudy Day

Diffusion Process [Provide a short definition]
Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: Diffusion Applied to Edge Detection (H2)
Section: Diffusion Process for Enhancement, Restoration and Smoothing (H2)
Section: Diffusion Process, Diffusion Operators, Mechanism, or Technique (H1)
Section: Diffusion Process, Survey, Overview (H2)
Section: Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)

Digital Accuracy, Evaluation Section: Books, Collections, Overviews, General, and Surveys (H)
* Precision of Digital Vision Systems

Digital Curvature Estimation [Provide a short definition]
Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* Towards Effective Planar Shape Representation with Multiscale Digital Curvature Analysis Based on Signal-processing Techniques

Digital Elevation Map [Provide a short definition]
Section: Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR (H)
Section: Terrain Extraction, DEM, DTM, DSM (H1)

Digital Geometry [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: Digital Geometry -- Lines, Curves and Contours (H3)
Section: Digital Geometry (H2)
Section: Image Representation Techniques (H1)
Section: Triangular, Hexagonal Grids, Geometry, Computations (H3)

Digital Terrain Map [Provide a short definition]
Section: 3-D Surface Registration for Mosaics and Models (H4)
Section: Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR (H)
Section: DEM, DSM, DTM, Evaluations, Valdiation, Surveys, Overviews (H2)
Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
Section: Terrain Extraction, DEM, DTM, DSM (H1)

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

Digital Topology, Survey Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Digital Topology: Introduction and Survey

Digits [Provide a short definition]
Section: Arabic Numbers, Digits, Handwritten, Numeral Recognition (H3)
Section: OCR, Document Analysis and Character Recognition Systems (H)

Dimensionality Reduction [Provide a short definition]
Section: Hyperspectral Data, Dimensionality Reduction (H3)
Section: Number of Features, Dimensionality Reduction (H3)
Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)

Dimensionality [Provide a short definition]
Section: Error Correcting Output Codes, ECOC (H3)
Section: Feature Selection using Search and Learning (H3)
Section: Intrinsic Dimensionality (H4)
Section: Number of Features, Dimensionality Reduction (H3)
Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
Section: Unsupervised Feature Selection (H3)

Direction [Provide a short definition]
Section: Limited Ego Motion Recovery, Direction or Heading (H3)
Section: Optical Flow Field Computations and Use (H)

Disambiguating Features [Provide a short definition]
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Resolving View Sensitivity With Surface Locality

Disaster Management Sensing [Provide a short definition]
Section: Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR (H)
Section: Disaster Management, Damage Mitigation (H4)

Discontinuities in Surfaces [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)

Discrete Relaxation [Provide a short definition]
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Relational Matching

Discrete Straight Line [Provide a short definition]
Section: Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
* Fresh Look At the Hough Transform, A

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

Discriminant Analysis [Provide a short definition]
Section: Discriminant Analysis (H3)
Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)

Discrimination Rule [Provide a short definition]
Section: Distance Measures, Criteria for Clustering (H2)
Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)

Disparity Gradient [Provide a short definition]
Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
* Bayesian-approach to Binocular Stereopsis, A

Display, Hologram Section: Holographic Displays, Holograms, Three Dimensional Visualization (H2)
Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)

Display, Stereo Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
Section: Stereoscopic Viewing, Three Dimensional Visualization, Displays (H1)
Section: Three Dimensional Displays, Viewer Fatigue, Sickness, Comfort (H2)
Section: Three Dimensional Visualization for Medical Data (H2)

Distance Function [Provide a short definition]
Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: Distance Transforms, Distance Functions, Distance Measures (H2)
Section: Similarity Measure, Distance Transforms and Functions for Objects and Shapes (H3)
Section: Three Dimensional Distance Transforms and Distance Functions (H3)

Distance Map [Provide a short definition]
Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: Distance Transforms, Distance Functions, Distance Measures (H2)

Distance Measure [Provide a short definition]
Section: Basic Comparison of Relational Network Descriptions (H2)
Section: General Similarity Measures for Database Indexing (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)

Distance Measures [Provide a short definition]
Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: Distance Measures, Criteria for Clustering (H2)
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)
* Handprinted Character-Recognition Based on Spatial Topology Distance Measurement
* On Affine Invariant Clustering and Automatic Cast Listing in Movies
* Toward Improved Ranking Metrics
8 for Distance Measures

Distance Metric [Provide a short definition]
Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
Section: Similarity Measure, Distance Transforms and Functions for Objects and Shapes (H3)
* Matching Three-Dimensional Objects Using a Relational Paradigm
* Metric for Comparing Relational Descriptions, A

Distance Transform [Provide a short definition]
Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: Closest Point Algorithms, ICP, Iterative Closest Point (H3)
Section: Distance Transforms, Distance Functions, Distance Measures (H2)
Section: Distance Transforms, Functions and Skeletons (H2)
Section: Similarity Measure, Distance Transforms and Functions for Objects and Shapes (H3)
Section: Three Dimensional Distance Transforms and Distance Functions (H3)

Distortion [Provide a short definition]
Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
Section: Camera Calibration, Lens Distortion, Aberration, Radial Distortion, Internal Parameters (H2)
Section: Image Manipulation -- Warping, Rotation, Distortion, etc. (H2)
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)

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

DNA [Provide a short definition]
Section: Cell, DNA, Analysis and Extraction, Microarray (H1)
Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)

Document Analysis [Provide a short definition]
* *Document Recognition II
Section: Analysis of Maps (H3)
Section: Analysis Systems Applied to Documents, Document Analysis (H1)
Section: Books, Collections, Overviews, General, and Surveys (H)
Section: Document Analysis Systems, General, Survey, Evaluation (H2)
Section: Document Layout, Document Segmentation, Page Layout, Structure Analysis (H3)
Section: Document Layout, Structure Analysis, Web Documents, Online Documents (H4)
Section: Documents and Character Analysis -- Surveys, Comparisons, Evaluations (H1)
Section: Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
Section: Engineering Drawings, Hand Drawings Analysis (H2)
Section: Extract Data from Specific Forms (H3)
Section: Find Text in Documents (H4)
Section: Form and Layout Analysis (H2)
Section: Line Vectorization, Document Analysis (H2)
Section: Mail -- Addresses, Document Analysis, Postal Automation (H2)
Section: Map Analysis, Analysis of Map data, Map Processing (H2)
Section: Newspaper Structure Extraction (H4)
Section: OCR, Document Analysis and Character Recognition Systems (H)
Section: Page Segmentation, General Evaluations (H4)
Section: Recognize Text from Signs in General Scenes (H4)
Section: Separate Images and Graphics from Text (H4)
Section: Specific Examples: Extract Titles, Table of Contents, Citation, Information from Papers and Books (H4)
Section: Table Segmentation, Extract Tables or Forms, General (H4)
Section: Text Detection, Find Text in General Scenes, Documents, Scene Text (H4)
Section: Text vs. Non-Text Regions (H4)
* Block Segmentation and Text Extraction in Mixed Text/Image Documents
* Image Analysis Applications
* Segmentation of Document Images
* Sparse Pixel Vectorization: An Algorithm and Its Performance Evaluation
29 for Document Analysis

Document Compression [Provide a short definition]
Section: Document Compression, Document Coding Systems and Techniques (H2)
Section: OCR, Document Analysis and Character Recognition Systems (H)

Document Enhancement [Provide a short definition]
Section: Enhancement, Restoration of Document Images, Curls (H3)
Section: OCR, Document Analysis and Character Recognition Systems (H)

Document Layout [Provide a short definition]
Section: OCR, Document Analysis and Character Recognition Systems (H)
* Page Segmentation and Zone Classification: The State of the Art

Document Restoration [Provide a short definition]
Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
Section: Enhancement, Restoration of Document Images, Curls (H3)
Section: OCR, Document Analysis and Character Recognition Systems (H)
* Shape from shading for the digitization of curved documents

Document Retrieval [Provide a short definition]
Section: Document Retrieval Systems, Databases and Issues, Libraries (H2)
Section: OCR, Document Analysis and Character Recognition Systems (H)

Document Segmentation [Provide a short definition]
Section: Document Layout, Document Segmentation, Page Layout, Structure Analysis (H3)
Section: OCR, Document Analysis and Character Recognition Systems (H)

Document Understanding [Provide a short definition]
Section: Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
* Vector-Based Arc Segmentation in the Machine Drawing Understanding System Environment

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

Domain Adaption [Provide a short definition]
Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
Section: Transfer Learning from Other Classes, Domain Adaption (H3)

Doppler [Provide a short definition]
Section: Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR (H)
Section: Doppler Radar Applications (H3)

Downsampling [Provide a short definition]
Section: Image Manipulation -- Sampling, Reduction, Decimation, General Size Changes, Resizing (H3)
Section: Motion Analysis --Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)

DPCM Definition:* Differential Pulse Code Modulation.
Section: Differential Pulse Code Modulation (DPCM) Coding (H
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)

Drawing Analysis [Provide a short definition]
Section: OCR, Document Analysis and Character Recognition Systems (H)
* Drawing Understanding Framework Using State Transition Models

Drawing Recognition, Survey Section: OCR, Document Analysis and Character Recognition Systems (H)
* Image Processing for Data Capture

Drawings [Provide a short definition]
Section: Analysis of Graphics, Symbols, Trademarks, Logos, Icons (H3)
Section: Engineering Drawings, Hand Drawings Analysis (H2)
Section: OCR, Document Analysis and Character Recognition Systems (H)

Driver Assistance [Provide a short definition]
Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
Section: Driver Assistance Systems and Techniques (H3)

Driver Monitoring [Provide a short definition]
Section: Driver Monitoring, Eyes, Gaze (H4)
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Toward Emotion Recognition in Car-Racing Drivers: A Biosignal Processing Approach

Drop Off Problem [Provide a short definition]
Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
Section: Qualitative Navigation, Drop Off, Where in the World or Region (H4)

Drowsiness [Provide a short definition]
Section: Driver Monitoring, Eyes, Gaze (H4)
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)

DSM [Provide a short definition]
Section: Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR (H)
Section: Terrain Extraction, DEM, DTM, DSM (H1)

DSM, Evaluation Section: Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR (H)
Section: DEM, DSM, DTM, Evaluations, Valdiation, Surveys, Overviews (H2)

DTM Definition:* Digital Terrain Model. It is more than just the DEM, the bare earth or terrain.
Section: Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR (H)
Section: Terrain Extraction, DEM, DTM, DSM (H1)

DTM, Evaluation Section: Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR (H)
Section: DEM, DSM, DTM, Evaluations, Valdiation, Surveys, Overviews (H2)

Dual Space [Provide a short definition]
Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
Section: Dual/Gradient Space Concepts (H1)

Duplicate Image [Provide a short definition]
Section: Image Copy, Duplicate Image Detection (H4)
Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)

Dynamic Programming [Provide a short definition]
Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (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: Matching for Stereo, Dynamic Programming Techniques (H3)
Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
* Classical Mechanics and Road Detection in SPOT Images
* Coarse-to-Fine Dynamic Programming
* Road Extraction from Aerial and Satellite Images by Dynamic-Programming
* Using Dynamic Programming for Solving Variational Problems in Vision
9 for Dynamic Programming

Dynamic Stereo [Provide a short definition]
Section: Motion Analysis --Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
* Active/Dynamic Stereo for Navigation

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

Index for "e"


Last update:18-Nov-14 13:41:08
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