LADAR
[Provide a short definition]
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: Laser Sensors for Range (H3)
Section: LIDAR, LADAR -- Range data (H2)
* Model-Based Automatic Target Recognition (ATR) System for Forward-Looking Groundbased and Airborne Imaging Laser Radars (Lada
Land Cover
[Provide a short definition]
Section: Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR (H)
Section: Land Cover Analysis, Specific Location Applications (H3)
Section: Land Cover Analysis, Water Detection, Water Areas (H3)
Section: Land Cover, Land Use, General Problems, Remote Sensing (H3)
Land Mines
[Provide a short definition]
Section: Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR (H)
Section: Ground Penetrating Radar, Buried Objects, UXO, Landmines (H3)
* Polarimetric processing of coherent random noise radar data for buried object detection
* Ultrawideband Radar Images of the Surface Disturbance Produced by a Submerged, Mine-Like Object
Landmarks
[Provide a short definition]
Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
Section: Navigation -- Landmarks (H3)
Section: Qualitative Navigation -- Drop Off, Where in the World or Region (H4)
* Visual Navigation for a Mobile Robot Using Landmarks
Landsat, History
Section: Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR (H)
* Landsat Program: Recent History and Prospects, The
Lane Detection
[Provide a short definition]
Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
Section: Lane Detection, Lane Following, White Line Detection (H3)
Lane Following
[Provide a short definition]
Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
Section: Lane Detection, Lane Following, White Line Detection (H3)
Laparoscopy
[Provide a short definition]
Section: Laparoscopy, Surgery (H2)
Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
Laser Range Finders
[Provide a short definition]
Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: Laser Sensors for Range (H3)
Laser Scanners
[Provide a short definition]
Section: Buildings from Depth data (H2)
Section: Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR (H)
Laser
[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: Calibration -- Lidar, Laser Scanner, Depth Sensor, Scanner Error Analysis (H3)
Section: Shape from Laser Ranging and Structured Light Images (H1)
LDA
Definition:* Linear Discriminant Analysis.
Section: Invariants -- Linear Discriminant Analysis, Fisher Linear Discriminant (H3)
Section: LDA in Face Recognition (H4)
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
Leaf Shape
[Provide a short definition]
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
Section: Plants, Leaf Shapes, Leaf Analysis, Leaf Segmentation (H4)
Learning Models
[Provide a short definition]
Section: Learning Model Descriptions (H3)
Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
Learning
[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: Evaluation and Analysis of Learning Techniques (H2)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
Section: Learning -- Conference Listing (H2)
Section: Learning Face Detection, Neural Nets, SVM (H3)
Section: Learning for Principal Components, Eigen Representations (H3)
Section: Learning in Computer Vision (H1)
Section: Learning Object Descriptions, Object Recognition (H2)
Section: Learning, General Non-Vision Learning Issues (H2)
Section: Learning, General Surveys, Overviews (H2)
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
Section: OCR, Document Analysis and Character Recognition Systems (H)
Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* Face Recognition with Learning Machines
* Hidden Tree Markov Models for Document Image Classification
* Learning Structural Descriptions from Examples
* Learning Texture-Discrimination Masks
* Optimizing Learning in Image Retrieval
* RIEVL: Recursive Induction Learning in Hand Gesture Recognition
* Some Experiments in Applying Inductive Inference Principles to Surface Reconstruction
22 for Learning
Least Median
[Provide a short definition]
Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* Least Median of Squares Based Robust Analysis of Image Structure
Least Squares
[Provide a short definition]
Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Section: Least Squares Applied to Restoration (H2)
* Sequential Coordinate-Wise Algorithm for the Non-negative Least Squares Problem
Lens 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)
* Calibration of Stereo Cameras Using a Non-Linear Distortion Model
* Efficient and Accurate Camera Calibration Technique for 3-D Machine Vision, An
Leukocyte
[Provide a short definition]
Section: Blood Cells, Counting, Extraction, Analysis (H2)
Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
Level Set Methods
[Provide a short definition]
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Optical Flow Field Computations and Use (H)
* Image-Processing: Flows under Min/Max Curvature and Mean-Curvature
* Level Set Methods: Evolving Interfaces in Geometry, Fluid Mechanics, Computer Vision and Materials Science
Level Set
[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: Level Set Models for Volumes (H3)
Section: Level Set Segmentation, Level Set Methods (H2)
Section: Level Sets, Medical Image Segmentation (H3)
Section: Motion Analysis --Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
* new time dependent model based on level set motion for nonlinear deblurring and noise removal, A
7 for Level Set
License Plate Recognition
[Provide a short definition]
Section: License Plate Recognition, Extraction, Analysis (H3)
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Large-scale privacy protection in Google Street View
License Plates
[Provide a short definition]
Section: License Plate Recognition, Extraction, Analysis (H3)
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
LIDAR Calibration
[Provide a short definition]
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Calibration -- Lidar, Laser Scanner, Depth Sensor, Scanner Error Analysis (H3)
LIDAR
[Provide a short definition]
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: Forest Analysis, Depth, LiDAR, Laser Scanner, IFSAR (H4)
Section: Laser Sensors for Range (H3)
Lie Groups
[Provide a short definition]
Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* Dominant-Subspace Invariants
Light Source Direction
[Provide a short definition]
Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
Section: Light Source Detection (H2)
Section: Light Source Direction Computations, Illumination Information, Illuminant (H3)
* Estimation of Illuminant Direction, Albedo, and Shape from Shading
Lightness
[Provide a short definition]
Section: Color Constancy, Retinex (H2)
Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Line Adjacency Graph
[Provide a short definition]
Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: Run-Length Coding Representations and Operations (H2)
Line Approximation
[Provide a short definition]
Section: Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
Section: Generation of Straight Line Segments or Curve Partitions (H1)
Line Detection
[Provide a short definition]
Section: Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR (H)
Section: Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
Section: Hueckel -- Basis Functions, Model Fitting for Edge Detection (H2)
Section: Line Detectors, Direct Detection of Straight Lines (H2)
Section: Road Following, Road Tracking Systems, Connecting Fragments, Extracting Fragments (H2)
Section: Road Network Detection, Road Extraction Systems (H1)
* Mathematical Models for Automatic Line Detection
7 for Line Detection
Line Drawings
[Provide a short definition]
Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
Section: Shape from Line Drawings, Junction Labeling (H1)
Section: Surface and Shape from Contours or Silhouettes (H1)
* Extraction of the Line Drawing of 3-Dimensional Objects by Sequential Illumination from Several Directions
Line Drawings, Analysis
Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
Section: Line Drawing Analysis (H2)
Line Drawings, Shape
Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
Section: Shape from Line Drawing (H2)
Line Labeling
[Provide a short definition]
Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
Section: Line Labeling Techniques (H2)
Section: Shape from Line Drawings, Junction Labeling (H1)
Line Labels
[Provide a short definition]
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Extracting a Valid Boundary Representation from a Segmented Range Image
Line Matching
[Provide a short definition]
Section: 2-D Lines with 2-D Structure (H2)
Section: 2-D Lines with 3-D Structure (H2)
Section: 3-D Lines with 3-D Structure (H2)
Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
Line Segments
[Provide a short definition]
Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
Section: Generation of Straight Line Segments or Curve Partitions (H1)
* Bayesian Method for Fitting Parametric and Nonparametric Models to Noisy Data, A
Line Vectorization
[Provide a short definition]
Section: Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
Section: Line Vectorization, Document Analysis (H2)
Linear Constraints
[Provide a short definition]
Section: Optical Flow Field Computations and Use (H)
* Performance of Camera Translation Direction Estimators from Optical-flow: Analysis, Comparison, and Theoretical Limits, The
Linear Discriminant Analysis
[Provide a short definition]
Section: Discriminant Analysis (H3)
Section: Invariants -- Linear Discriminant Analysis, Fisher Linear Discriminant (H3)
Section: LDA in Face Recognition (H4)
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
Linear Features
[Provide a short definition]
Section: Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
Section: Extended Linear Features - Beyond Segments (H2)
Section: Line Vectorization, Document Analysis (H2)
Linear Prediction
[Provide a short definition]
Section: Linear Prediction Techniques (H3)
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
Linear Programming
[Provide a short definition]
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Linear Programming Approach fo the Weighted Graph Matching Problem, A
Lines
[Provide a short definition]
Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: Digital Geometry -- Lines, Curves and Contours (H3)
Lines, Colinear
Section: Colinear Line Segments (Collinear) (H
Section: Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
Lines, General
Section: Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
Section: General Systems for Lines and Curves (H2)
Linkoping Univ.
[Provide a short definition]
* *Linkoping University
Lip Reading
[Provide a short definition]
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Lipreading, Lip Reading, Lip Tracking (H2)
Lipreading
[Provide a short definition]
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Lipreading, Lip Reading, Lip Tracking (H2)
Liveness
[Provide a short definition]
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Liveness Detection, Spoofing, Fingerprint Recognition (H3)
Liver Disease
[Provide a short definition]
Section: Liver Disease, Tomography, CAT Analysis (H3)
Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
Localization
[Provide a short definition]
Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
Section: Localization -- Where is the robot, Where is the camera (H3)
Section: Localization, GPS Assisted, Guidance System Assisted, Other Annotation (H4)
Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* more you learn, the less you store: Memory-controlled incremental SVM for visual place recognition, The
Log-Polar Sensor
[Provide a short definition]
Section: Optical Flow Field Computations and Use (H)
* On the Estimation of Depth from Motion Using an Anthropomorphic Visual Sensor
Log-Polar
[Provide a short definition]
Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
Section: Complex Log Mapping, Algorithms and Sensors (H2)
Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: Optical Flow Field Computations and Use (H)
* Binocular Fusion Revisited Utilizing a Log-Polar Tessellation
* Direct Computation of the Focus of Expansion from Velocity Field Measurements
* Disparity Estimation on Log-Polar Images and Vergence Control
7 for Log-Polar
Log Mapping
[Provide a short definition]
Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: Complex Log Mapping, Algorithms and Sensors (H2)
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: Optical Flow Field Computations and Use (H)
* Complex Logarithmic Mapping and the Focus of Expansion
* Direct Computation of the Focus of Expansion
* Direct Estimation of Time-to-Impact from Optical Flow
* Geometric invariance in space-variant vision systems: The exponential chirp transform
* Motion Stereo Using Ego-Motion Complex Logarithmic Mapping
* On the Advantage of Polar and Log-Polar Mapping for Direct Estimation of Time-to-Impact from Optical Flow
* Position, Rotation and Scale Invarient Optical Correlation
12 for Log Mapping
Log Polar Mapping
[Provide a short definition]
Section: Motion Analysis --Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
* Segmentation of Frame Sequence Obtained by a Moving Observer
Logo Recognition
[Provide a short definition]
Section: Analysis of Graphics, Symbols, Trademarks, Logos, Icons (H3)
Section: OCR, Document Analysis and Character Recognition Systems (H)
Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* Analysis of Compressed Document Images for Dominant Skew, Multiple Skew, and Logotype Detection
* Content-Based Retrieval for Trademark Registration
* Content-Based Trademark Retrieval System Using Visually Salient Features
* Neural Based Architecture for Spot-Noisy Logo Recognition, A
* None
* Retrieval of Images from Image Databases: Trademarks, The
* Shape-Based Retrieval: A Case-Study with Trademark Image Databases
* Trademark Shape-Recognition Using Closed Contours
* Trademark Shapes Description by String-Matching Techniques
* Using Negative Shape Features for Logo Similarity Matching
13 for Logo Recognition
Lossless Compression
[Provide a short definition]
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Section: Lossless Coding, Lossless Compression, Transmission (H2)
* Lossless Compression of AVIRIS Images by Vector Quantization, The
Low Bit Rate Coding
[Provide a short definition]
Section: Computing Very Low Bitrate, 3-D and Object Based Coding (H4)
Section: High Rate Compression, Low Bit Rate Compression, Region Based Coding (H2)
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Section: Motion Compensation, Block, Region, Object, and Low Bit Rate Coding (H2)
Section: Motion Compensation, Low Bit Rate, Survey, Evaluations (H4)
Section: Very Low Bitrate, 3-D and Object Based Coding (H4)
LSB
[Provide a short definition]
Section: Data Hiding, Steganography, LSB, Least Significant Bit (H3)
Section: OCR, Document Analysis and Character Recognition Systems (H)
Lungs
[Provide a short definition]
Section: Lungs, and Lung Cancer Image Analysis (H2)
Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
Section: Pulmonary Nodules, Lung Nodules (H3)