Titles Starting with u

* U
* U. Ethrog), W. Feng, And B. Yuan, Ccd Camera Calibration Based On Natural Landmarks
* Ultimate Planar Convex Hull Algorithm, The
* Ultra-Fast Parallel Contour Tracking, With Applications To Thinning
* Ultrasonic Array Imaging Based On Spatial Interpolation
* Ultrasonic Holography Techniques For Localizing And Imaging Solid Objects
* Ultrasonic Visual Sensor For Three-Dimensional Object Recognition Using Neural Networks, An
* Umass Image Understanding Architecture, The
* Umass Progress In 3d Building Model Acquisition
* Unambiguous Description Of Chain Code Picture Languages
* Unbiased Active Contour Algorithm For Object Tracking, An
* Unbiased Detector Of Curvilinear Structures, An
* Unbiased Estimation And Statistical Analysis Of 3-D Rigid Motion From Two Views
* Unbiased Estimation Of Ellipses By Bootstrapping
* Unbiased Sampling Techniques For Image Synthesis
* Uncalibrated 1d Projective Camera And 3d Affine Reconstruction Of Lines
* Uncalibrated Obstacle Detection Using Normal Flow
* Uncalibrated Relief Reconstruction And Model Alignment From Binocular Disparities
* Uncalibrated Stereo Hand-Eye Coordination
* Uncalibrated Visual Tasks Via Linear Interaction
* Uncertain Geometry In Robotics
* Uncertain Views
* Uncertainty Analysis Of Image Measurements
* Uncertainty And Inference In The Visual System
* Uncertainty And Probability
* Uncertainty In Artificial Intelligence, North Holland
* Uncertainty In Interpretation Of Range Imagery
* Uncertainty In Object Pose Determination With Three Light-Stripe Range Measurements
* Uncertainty In Pose Estimation: A Bayesian Approach
* Uncertainty Management For Rule-Based Systems With Applications To Image Analysis
* Uncertainty Minimization In The Localization Of Polyhedral Objects
* Uncertainty Of Features In Planar Object Recognition And A New Classifier
* Uncertainty Principle In Image Processing, The
* Uncertainty Propagation In Model-Based Recognition
* Uncertainty Reduction Paradigm Using Structural Knowledge In Line-Drawing Understanding
* Uncertainty Update And Dynamic Search Window For Model-Based Object Recognition
* Unconstrained Automatic Image Matching Using Multiresolutional Critical-Point Filters
* Unconventional Imaging For Industrial Inspection (Philadelphia, Pa, October 25
* Uncovered Background Prediction In Interframe Coding
* Underground And Obscured Object Imaging And Detection (Orlando, Fl, April 15-16
* Underground And Obscured Object Imaging And Detection (Orlando, Fl, April 4
* Understanding Assembly Illustrations In An Assembly Manual Without Any Model Of Mechanical Parts
* Understanding Human Motion Patterns
* Understanding Images--Finding Meaning In Digital Imagery, Springer
* Understanding Images-The Search For Meaning In Visualization, Springer
* Understanding Neural Networks-Computer Explorations, Mit Press, Cambridge
* Understanding Noise: The Critical Role Of Motion Error In Scene Reconstruction
* Understanding Object Configurations Using Range Images
* Understanding Object Motion
* Understanding Objects With Curved Surfaces From A Single Perspective View Of Boundaries
* Understanding People Pointing: The Perseus System
* Understanding Positioning From Multiple Images
* Understanding Scene Descriptions By Integrating Different Sources Of Knowledge
* Understanding Scene Dynamics
* Understanding Synthetic Aperture Radar Images
* Understanding Synthetic Aperture Radar Images, Artech House
* Understanding The Hough Transform: Hough Cell Support And Its Utilisation
* Understanding The Relationship Between The Optimization Criteria In Two-View Motion Analysis
* Understanding The Shape Properties Of Trihedral Polyhedra
* Understanding The Structure Of Diffuse Scale-Spaces
* Understanding Three-Dimensional Images-Recognition Of Abdominal Anatomy From Cat Scans, Umi Research Press, Ann Arbor
* Understanding Three-View Drawings Based On Heuristics
* Understanding Three Dimensional Images --Recognition Of Abdominal Anatomy From Cat Scans, Umi Research Press, Ann Arbor
* Understanding Vision, Academic Press
* Understanding Vision: An Interdisciplinary Perspective, Mind & Language 5(4)
* Underwater Navigation By Video Sequence Analysis
* Undo And Redo Operations For Solid Modeling
* Unesco Advanced School On Machine Vision, Udine, Italy
* Unexpected Spatial Patterns In Exponential Family Auto Models
* Unfamiliar World Of Gray Geometry, The
* Unification And Integration Of Visual Modules: An Extension Of The Marr Paradigm
* Unification Of Nonlinear Filtering In The Context Of Binary Logical Calculus, Part I: Binary Filters
* Unification Of Nonlinear Filtering In The Context Of Binary Logical Calculus, Part Ii: Gray-Scale Filters
* Unified 3d Models For Multisensor Image Synthesis
* Unified Algorithm For Boolean Shape Operations, A
* Unified Algorithm For Sorting On Multidimensional Mesh-Connected Processors, A
* Unified Approach For Early-Phase Image Understanding Using A General Decision Criterion
* Unified Approach For Image Segmentation Using Exact Statistics, A
* Unified Approach For Robot Motion Planning With Moving Polyhedral Obstacles, A
* Unified Approach To Artificial Intelligence, Pattern Recognition, Image Processing And Computer Vision In Fifth-Generation Computer Systems, A
* Unified Approach To Boundary Perception: Edges, Textures, And Illusory Contours, A
* Unified Approach To Camera Fixation And Vision-Based Road Following, A
* Unified Approach To Coding And Interpreting Face Images, A
* Unified Approach To Iconic Indexing, Retrieval, And Maintenance Of Spatial Relationships In Image Databases, A
* Unified Approach To Moving Object Detection In 2d And 3d Scenes, A
* Unified Approach To Noise Removal, Image Enhancement, And Shape Recovery, A
* Unified Approach To Noniterative Linear Signal Restoration, A
* Unified Approach To Pattern Recognition, A
* Unified Approach To Segmentation Of Grey-Level And Dot-Pattern Images, A
* Unified Approach To The Change Of Resolution: Space And Gray-Level, A
* Unified Approach To The Linear Camera Calibration Problem, A
* Unified Approach To Visibility Representations Of Planar Graphs, A
* Unified Approach To Volumetric Registration And Integration Of Multiple Range Images, A
* Unified Bayesian Framework For Face Recognition, A
* Unified Computational Framework For Minkowski Operations, A
* Unified Computational Theory For Motion Transparency And Motion Boundaries Based On Eigenenergy Analysis, A
* Unified Description And Recognition Of Continuous Contours And Regions
* Unified Distance Transform Algorithm And Architecture, A
* Unified Factorization Algorithm For Points, Line Segments And Planes With Uncertainty Models, A
* Unified Formulation Of A Class Of Image Thresholding Techniques
* Unified Framework To Recover 3-D Surfaces By Combining Image-Based And Externally-Supplied Constraints, A
* Unified Linear-Time Algorithm For Computing Distance Maps, A
* Unified Methodology For Motion Planning With Uncertainty For 2d And 3d Two-Link Robot Arm Manipulators, A
* Unified Mixture Framework For Motion Segmentation: Incorporating Spatial Coherence And Estimating The Number Of Models, A
* Unified Modeling Of Non-Homogeneous 3d Objects For Thermal And Visual Image Synthesis
* Unified Neural Network Approach To Digital Image Halftoning, A
* Unified Optical Flow Field Approach To Motion Analysis From A Sequence Of Stereo Images
* Unified Perspective On Computational Techniques For The Measurement Of Visual Motion, A
* Unified Structural-Stochastic Model For Texture Analysis And Synthesis, A
* Unified Sun And Sky Illumination For Shadows Under Trees
* Unified Theory Of Structure From Motion, A
* Unified Theory Of Uncalibrated Stereo For Both Perspective And Affine Cameras, A
* Unified, Multiresolution Framework For Automatic Target Recognition, A
* Uniform Bayesian Framework For Integration, A
* Uniform Distribution, Distance, And Expectation Problems For Geometric Feature(S) Processing
* Uniform Line Parameterization
* Uniform Resampling Of Digitized Contours
* Uniform Spherical Coordinate Quantization Of Spherically Symmetric Sources
* Unifying Approach For A Class Of Problems In The Computational Geometry Of Polygons, A
* Unifying Approach To Iconic Indexing For 2-D And 3-D Scenes, A
* Unifying Framework For Relational Structure Matching, A
* Unifying Framework For Structure And Motion Recovery From Image Sequences, A
* Unifying Shading And Texture Through An Active Observer
* Unifying Two-View And Three-View Geometry
* Unilateral Approximation Of Gibbs Random Field Images
* Unique Reconstruction Of Piecewise Smooth Images By Minimizing Strictly Convex Nonquadratic Functionals
* Unique Recovery Of Motion And Optic Flow Via Lie Algebras
* Unique Solution Of Projective Invariants Of Six Points From Four Uncalibrated Images, The
* Uniquely Representing Point Patterns With Minimal Information
* Uniqueness And Estimation Of 3-D Motion Parameters And Surface Structures Of Rigid Objects
* Uniqueness And Estimation Of Three-Dimensional Motion Parameters Of Rigid Objects With Curved Surfaces
* Uniqueness In Shape From Shading Revisited
* Uniqueness In Shape From Shading
* Uniqueness Of 3d Pose Under Weak Perspective: A Geometrical Proof
* Uniqueness Of Orthogonal Connect-The-Dots
* Uniqueness Of Solutions To Structure And Motion From Combinations Of Point And Line Correspondences
* Uniqueness Of Solutions To Three Perspective Views Of Four Points
* Uniqueness Of Solutions To Two-Dimensional Fourier Phase Problems For Localized And Positive Images
* Uniqueness Of The Gaussian Kernel For Scale-Space Filtering
* Uniqueness, The Minimum Norm Constraint, And Analog Networks For Optical Flow Along Contours
* United States Patent Digest, Class 382: Image Analysis, Boston Patent Co., Boston
* United States Postal Service Advanced Technology Conference (Washington, Dc
* United States Postal Service Advanced Technology Conference, Washington, Dc
* Universal Colour Transformation Architecture, A
* Universal Hmm-Based Approach To Image Sequence Classification, A
* Universal Imaging Algebra, The
* Universal Mosaic[K]Ing Using Pipe Projection
* Universal Plans For Real-Time Robots In Unpredictable Environments
* Universal Principal Axes: An Easy-To-Construct Tool Useful In Defining Shape Orientations For Almost Every Kind Of Shape
* Unobstructed Shortest Paths In Polyhedral Environments
* Unsuperivsed Texture Segmentation In A Deterministic Annealing Framework
* Unsupervised Bayesian Estimation For Segmenting Textured Images
* Unsupervised Bayesian Model-Learning With Application To Textured And Polynomial Image Segmentation
* Unsupervised Contour Estimation
* Unsupervised Detection Of Straight Lines Through Possibilistic Clustering
* Unsupervised Feature Reduction In Image Segmentation By Local Karhunan-Loeve Transform
* Unsupervised Feature Reduction In Image Segmentation By Local Transforms
* Unsupervised Image Segmentation Based On A Self-Organizing Feature Map And A Texture Measure
* Unsupervised Image Segmentation Based On The Comparison Of Local And Regional Histograms
* Unsupervised Image Segmentation Using A Distributed Genetic Algorithm
* Unsupervised Image Segmentation Using An Unlabeled Region Process
* Unsupervised Image Segmentation Using The Minimum Description Length Principle
* Unsupervised Image Segmentation Using The Modified Pyramidal Linking Approach
* Unsupervised Learning Of Hand-Printed Characters With Linguistic Information, An
* Unsupervised Model-Based Object Recognition By Parameter Estimation Of Hierarchical Mixtures
* Unsupervised Multiresolution Texture Segmentation Using Wavelet Decomposition
* Unsupervised Multistage Segmentation Using Markov Random Field And Maximum Entropy Principle
* Unsupervised Parallel Image Classificiation Using A Hierarchical Markovian Model
* Unsupervised Regions Segmentation: Real Time Control Of An Upkeep Machine Of Natural Spaces
* Unsupervised Segmentation Based On Multi-Resolution Analysis, Robust Statistics And Majority Game Theory
* Unsupervised Segmentation Based On Robust Estimation And Cooccurrence Data
* Unsupervised Segmentation By Use Of A Texture Gradient
* Unsupervised Segmentation Of Color Images
* Unsupervised Segmentation Of Gray Level Markov Model Textures With Hierarchical Self Organizing Maps
* Unsupervised Segmentation Of Markov Random Field Modeled Textured Images Using Selectionist Relaxation
* Unsupervised Segmentation Of Multisensor Images Using Generalized Hidden Markov Chains
* Unsupervised Segmentation Of Noisy And Textured Images Using Markov Random Fields
* Unsupervised Segmentation Of Textured Color Images Using Markov Random Field Models
* Unsupervised Segmentation Of Textured Image Using Markov Random Field In Random Spatial Interaction
* Unsupervised Segmentation Of Textured Images By Edge Detection In Multidimensional Features
* Unsupervised Segmentation Of Textured Images By Pairwise Data Clustering
* Unsupervised Segmentation Of Textured Images
* Unsupervised Texture Based Image Segmentation By Simulated Annealing Using Markov Random Field And Potts Models
* Unsupervised Texture Classification Using Vector Quantization And Deterministic Relaxation Neural Network
* Unsupervised Texture Segmentation Algorithm With Feature Space Reduction And Knowledge Feedback, An
* Unsupervised Texture Segmentation By Hebbian Learnt Cortical Cells
* Unsupervised Texture Segmentation For Multispectral Remote-Sensing Images
* Unsupervised Texture Segmentation Of Images Using Tuned Matched Gabor Filters
* Unsupervised Texture Segmentation Using Gabor Filters
* Unsupervised Texture Segmentation Using Markov Random Field Models
* Unsupervised Texture Segmentation Using Multichannel Decomposition And Hidden Markov Models
* Unsupervised Texture Segmentation Using Selectionist Relaxation
* Unsupervised Texture Segmentation Using Stochastic Version Of The Em Algorithm And Data Fusion
* Unsupervised Texture Segmentation Using Tuned Filters In Gaborian Space
* Unsupervised Texture Segmentation Via Wavelet Transform
* Unsupervised Textured Classification Of Images Using The Texture Spectrum
* Unsupervised Textured Image Segmentation Using Feature Smoothing And Probabilistic Relaxation Techniques
* Unwarping Of Slightly Distorted Periodic Structures Using Bidimensional Polynomial Representations
* Update On Strategic Computing Computer Vision, An
* Updated Cross-Indexed Guide To The Ray-Tracing Literature, An
* Upper Bound On Run-Length Coding Entropy, An
* Urban Area Detection In Satellite Images Using Map Knowledge By A Feedback Control Technique
* Usc Image Understanding Research-1986
* Usc Image Understanding Research
* Usc Image Understanding Research: 1988-89
* Usc Image Understanding Research: 1989-1990
* Usc Image Understanding Research: 1990-1991
* Usc Image Understanding Research: 1992-1993
* Usc Image Understanding Research: 1993-1994
* Usc Image Understanding Research: 1994-1995
* Usc Radius Related Research: An Overview
* Use And Design Of Pasm, The
* Use And Representation Of Knowledge In Image Understanding Based On Semantic Networks
* Use Of A Dictionary In Conjunction With A Handwritten Texts Recognizer
* Use Of A Priori Descriptions In A High-Level Language And Management Of The Uncertainty In A Scene Recognition System
* Use Of A Relational Pyramid Representation For View Classes In A Cad-To-Vision System, The
* Use Of An Interactive Chromosome Analysis System For The Genetic Study Of Barley Varieties
* Use Of Boolean Model For Texture Analysis Of Grey Images, The
* Use Of Collateral Text In Image Interpretation
* Use Of Color In Highlight Identification, The
* Use Of Compound Predicates In Split-And-Merge Segmentation
* Use Of Context For False Alarm Reduction In Sar Automatic Target Recognition
* Use Of Cues From Range Data For Automatic Building Modeling
* Use Of Data Windows In Feature Extraction For High Dimensional Pr Problems, The
* Use Of Explicit Knowledge And Gis Data For The 3d Evaluation Of Remote Sensing Images
* Use Of First-Order Structuring-Element Libraries To Design Morphological Filters, The
* Use Of Fourier And Karhunen-Loeve Decomposition For Fast Pattern Matching With A Large Set Of Templates
* Use Of Geometric And Grey-Level Models For Industrial Inspection, The
* Use Of Geometrical Constraints And Clustering To Determine 3d Object Pose
* Use Of Gibbs Random Fields For Image Segmentation, The
* Use Of Global Context In Text Recognition, The
* Use Of Gray Value Distribution Of Run Lengths For Texture Analysis
* Use Of Hidden Deletable Pixel Detection To Obtain Bias-Reduced Skeletons In Parallel Thinning, The
* Use Of High-Level Knowledge For Enhanced Entry Of Engineering Drawings, The
* Use Of Hybrid Models To Recover Cardiac Wall Motion In Tagged Mr Images, The
* Use Of Image Processing Techniques In Rendering Maps With Deterministic Chaos, The
* Use Of Maximum Curvature Points For The Recognition Of Partially Occluded Objects, The
* Use Of Models In Studying Macrophage Cell Images And The Underlying Biological Processes
* Use Of Models In The Recognition Of Patterns Of Cellular Movement
* Use Of Monocular Groupings And Occlusion Analysis In A Hierarchical Stereo System
* Use Of Multiple Difference-Of-Gaussian Filters To Verify Geometric Models
* Use Of Multiple Sources For The Modeling And Coding Of Nonstationary Images, The
* Use Of Multisensor Data For Robotic Applications, The
* Use Of Neural Networks To Estimate The Number Ofnodes Of An Edge Quadtree
* Use Of Noise Properties In Set Theoretic Estimation, The
* Use Of Numerical Relational Distance And Symbolic Differences For Organizing Models And For Matching, The
* Use Of Objects' Faces In Interpreting Line Drawings, The
* Use Of Optical Flow For The Analysis Of Non-Rigid Motions, The
* Use Of Optical Flow For The Autonomous Navigation, The
* Use Of Pattern Recognition To Estimate Three-Dimensional Shape From Topographic Labeling Of Images, The
* Use Of Perceptual Organization In The Prediction Of Geometric Structures, The
* Use Of Segmentation And Shape Recognition Techniques In Synthetic Aperture Radar Images, The
* Use Of Shadows For Extracting Buildings In Aerial Images
* Use Of The Delaunay Triangulation For The Identification And The Localization Of Objects
* Use Of The Facet Model And The Topographic Primal Sketch In Image Analysis, The
* Use Of The Radon Transform As A Method Of Extracting Information About Shape In Two Dimensions
* Use Of The Surface-Attribute Probe For 3-D Object Characterization
* Use Of Three- And Four-Dimensional Surface Harmonics For Rigid And Nonrigid Shape Recovery And Representation, The
* Use Of Variance And Entropic Thresholding Methods For Image Segmentation, The
* Use Of Vertex-Type Knowledge For Range Data Analysis
* Use Of Wrist Mounted Range Profile Scanners For Real-Time Tracking
* Use Your Hand As A 3d Mouse, Or, Relative Orientation From Extended Sequences Of Sparse Point And Line Correspondences Using The Affine Trifocal Tensor
* Useful Geometric Properties Of The Generalized Cone
* Useful Information Plane On Pattern Classification
* Usefulness Of The Karp-Miller-Rosenberg Algorithm In Parallel Computations On Strings And Arrays
* User-Centered Evaluation (Uce) Methods And Metrics
* User-Dependent Definition Of The Information In Images And Its Use In Information Retrieval, A
* User-Steered Image Segmentation Paradigms: Live Wire And Live Lane
* User Assisted Modeling Of Buildings
* User Interface Representations For Image Understanding
* Using 2d Active Contour Models For 3d Reconstruction From Serial Sections
* Using 2d C+ Strings As Spatial Knowledge Representations For Image Database Systems
* Using 3-Dimensional Meshes To Combine Image-Based And Geometry-Based Constraints
* Using A Color Reflection Model To Separate Highlights From Object Color
* Using A Cylindrical Tactile Sensor For Determining Curvature
* Using A Dem To Determine Geospatial Object Trajectories
* Using A Feature-Based Model For Automatic Determination Of Assembly Handling Codes
* Using A Feature Algebra For Reasoning About Geometric Feature Interactions
* Using A Hierarchical Approach To Avoid Over-Fitting In Early Vision
* Using A Mixed Wave-Diffusion Process To Elicit The Symmetry Set
* Using A Simple Shape Measure To Improve Automatic 3d Reconstruction
* Using A Spectral Reflectance Model For The Illumination-Invariant Recognition Of Local Image Structure
* Using A Wavelet-Based Fractal Feature To Improve Texture Discrimination On Sar Images
* Using Adaptive Tracking To Classify And Monitor Activities In A Site
* Using Affine Invariants On Perspective Projections Of Plane Curves
* Using Algebraic Functions Of Views For Indexing-Based Object Recognition
* Using Angular Dispersion Of Gradient Direction For Detecting Edge Ribbons
* Using Aspect Graphs To Control The Recovery And Tracking Of Deformable Models
* Using Automatically Constructed View-Independent Relational Model In 3d Object Recognition
* Using Backprojections For Fine Motion Planning With Uncertainty
* Using Bilateral Symmetry To Improve 3d Reconstruction From Image Sequences
* Using Camera Motion To Estimate Range For Robotic Parts Manipulation
* Using Canny'S Criteria To Derive A Recursively Implemented Optimal Edge Detector
* Using Causal Scene Analysis To Direct Focus Of Attention
* Using Centroid Covariance In Target Recognition
* Using Chromatic Information In Dense Stereo Correspondence
* Using Chromatic Information In Edge-Based Stereo Correspondence
* Using Chromaticity Distributions And Eigenspace Analysis For Pose-, Illumination-, And Specularity-Invariant Recognition Of 3d Objects
* Using Collinear Points To Compute Egomotion And Detect Nonrigidity
* Using Collineations To Compute Motion And Structure
* Using Computer Color Effectively: An Illustrated Reference, Prentice-Hall, Englewood Cliffs
* Using Conic Correspondence In Two Images To Estimate The Epipolar Geometry
* Using Constancy Of Distance To Estimate Position And Displacement In Space
* Using Content-Based Search To Download Digital Video Into A Client Station
* Using Contextual Informaiton To Set Control Parameters Of A Vision Process
* Using Crest Lines To Guide Surface Reconstruction From Stereo
* Using Deformable Surfaces To Segment 3-D Images And Infer Differential Structure
* Using Deformable Surfaces To Segment 3d Images And Infer Differential Structures
* Using Depth-Is-Positive Constraint To Recover Translational Motion
* Using Differential Constraints To Generate A 3d Face Model From Stereo
* Using Differential Constraints To Reconstruct Complex Surfaces From Stereo
* Using Differential Geometry In R84 To Extract Typical Features In 3d Images
* Using Differential Geometry In R[4] To Extract Typical Features In 3d Density Images
* Using Discriminant Eigenfeatures For Image Retrieval
* Using Discrimination Graphs To Represent Visual Interpretations That Are Hypothetical And Ambiguous
* Using Disparity Functionals For Stereo Correspondence And Surface Reconstruction
* Using Domain Knowledge In Low-Level Visual Processing To Interpret Handwritten Music: An Experiment
* Using Dynamic Programming For Minimizing The Energy Of Active Contours In The Presence Of Hard Constraints
* Using Dynamic Programming For Solving Variational Problems In Vision
* Using Expert Systems For Image Understanding
* Using Extremal Boundaries For 3-D Object Modeling
* Using Feature Probabilities To Reduce The Expected Computational Cost Of Template Matching
* Using Features For Machine Design Problems
* Using Flow Field Divergence For Obstacle Avoidance In Visual Navigation
* Using Flow Field Divergence For Obstacle Avoidance: Towards Qualitative Vision
* Using Focus Of Attention With The Hough Transform For Accurate Line Parameter Estimation
* Using Force Fields Derived From 3d Distance Maps For Inferring The Attitude Of A 3d Rigid Object
* Using Gabor Filters To Measure The Physical Parameters Of Lines
* Using Generic Geometric And Physical Models For Representing Solids
* Using Generic Geometric Models For Intelligent Shape Extraction
* Using Generic Knowledge In Analysis Of Aerial Scenes: A Case Study
* Using Geometric Corners To Build A 2d Mosaic From A Set Of Images
* Using Geometric Distance Fits For 3-D Object Modeling And Recognition
* Using Geometric Hashing With Information Theoretic Clustering For Fast Recognition From A Large Cad Modelbase
* Using Geometric Properties For Automatic Object Positioning
* Using Geometric Properties For Correspondence-Less Image Alignment
* Using Geometric Rewrite Rules For Solving Geometric Problems Symbolically
* Using Geometrical Information For Accurate Scene Understanding In An Artificial Vision System
* Using Global Consistency To Recognise Euclidean Objects With An Uncalibrated Camera
* Using Grammars For Scene Interpretation
* Using Grey-Level Models To Improve Active Shape Model Search
* Using Hyperquadrics For Shape Recovery From Range Data
* Using Ifs And Moments To Build A Quasi-Invariant Image Index
* Using Illumination Invariant Color Histogram Descriptors For Recognition
* Using Image Signatures For Place Recognition
* Using Interactive Graphics For Fitting Surfaces To Scattered Data
* Using Intermediate Objects To Improve The Efficiency Of Visual Search
* Using Isolated Landmarks And Trajectories In Robot Navigation
* Using Light Polarization In Laser Scanning
* Using Line Correspondence Stereo To Measure Surface Orientation
* Using Line Correspondences In Invariant Signatures For Curve Recognition
* Using Local Planar Geometric Invariants To Match And Model Images Of Line Segments
* Using Local Structure For The Reliable Removal Of Noise From The Output Of The Log Edge Detector
* Using Machine Learning For Content-Based Image Retrieving
* Using Markov Random Fields For Contour-Based Grouping
* Using Mean Field Annealing To Solve Anisotropic Diffusion Problems
* Using Models Of Feature Perception In Distortion Measure Guidance
* Using Models To Improve Stereo Reconstruction
* Using Moment Invariants To Analyze 3-D Color Textures
* Using Moment Invariants To Recognize And Locate Partially Occluded 2d Objects
* Using Moments To Acquire The Motion Parameters Of A Deformable Object Without Correspondences
* Using Moments To Reduce Object Recognition To A One-Dimensional Search
* Using Motion From Orthographic Projections To Prove 3-D Point Matches
* Using Motion From Orthographic Views To Verify 3-D Point Matches
* Using Multi-Layer Distance Maps For Motion Planning On Surfaces With Moving Obstacles
* Using Multiple Coaxial Images For Determining The Focal Gradient In A Range Camera
* Using Multiresolution And Multistreaming For Faster Access In Image Database Broadcast
* Using Multisensory Images To Derive The Structure Of Three-Dimensional Objects -- A Review
* Using Multivariate Resultants To Find The Implicit Equation Of A Rational Surface
* Using Multivariate Resultants To Find The Intersection Of Three Quadric Surfaces
* Using Neural Networks To Detect Dominant Points In Chain-Coded Contours
* Using Neural Networks To Determine Matching Order For Recognizing Overlapping Objects
* Using Neural Networks To Learn Shape Decomposition By Successive Prototypication
* Using Occluding Contours For 3d Object Modeling
* Using Occluding Contours For Object Recognition
* Using Occluding Contours For Recovering Shape Properties Of Objects
* Using Occlusion Models To Evaluate Scale-Space Processors
* Using Occupancy Grids For Mobile Robot Perception And Navigation
* Using Optimal Algorithms To Test Model Assumptions In Computer Vision
* Using Orientation Tokens For Object Recognition
* Using Parallel String Matching Algorithms For Contour Based 2-D Shape Recognition
* Using Partial Derivatives Of 3d Images To Extract Typical Surface Features
* Using Partial Shape Knowledge For Stereo Reconstruction
* Using Particles To Sample And Control Implicit Surfaces
* Using Path Transforms To Guide The Search For Findpath In 2d
* Using Perceptual Grouping To Recognize And Locate Partially Occluded Objects
* Using Perceptual Inference Networks To Manage Vision Processes
* Using Perceptual Organization To Extract 3-D Structures
* Using Photometric Invariants For 3d Object Recognition
* Using Physics-Based Invariant Representations For The Recognition Of Regions In Multispectral Satellite Images
* Using Polarization To Seperate Reflection Components
* Using Polyballs To Approximate Shapes And Skeletons
* Using Polygons To Recognize And Locate Partially Occluded Objects
* Using Probabilistic Domain Knowledge To Reduce The Expected Computational Cost Of Matching
* Using Probabilistic Domain Knowledge To Reduce The Expected Computational Cost Of Template Matching
* Using Projective Geometry To Recover Planar Surfaces In Stereovision
* Using Prolog To Implement A Compiler For A Parallel Image Processing Language
* Using Quadtrees To Represent Spatial Data
* Using Radius Site Models Without The Rcde
* Using Real Functions With Application To Hair Modeling
* Using Simple Decomposition For Smoothing And Feature Point Detection Of Noisy Digital Curves
* Using Singular Displacements For Uncalibrated Monocular Visual Systems
* Using Spatial Information As An Aid To Maximum Entropy Image Threshold Selection
* Using Spatial Sorting And Ranking In Model-Based Object Recognition
* Using Spectral Features For Modelbase Partitioning
* Using Spectral/Spatial Information For Automatic Recognition
* Using Speech Input For Image Interpretation And Annotation
* Using Stability Of Interpretation As Verification For Low-Level Processing: An Example From Egomotion And Optic Flow
* Using Steerable Filters For Illumination-Invariant Recognition In Multispectral Images
* Using Stereo Vision Analysis To Recognize Partially Obscured Objects
* Using Stereomotion To Track Binocular Targets
* Using Stochastic Modeling For Texture Generation
* Using Surface Model To Correct And Fit Disparity Data In Stereo Vision
* Using Symbolic Computation To Find Algebraic Invariants
* Using Symmetries For Analysis Of Shape From Contour
* Using Symmetry For Detecting And Locating Objects In A Picture
* Using Tactile Data For Real-Time Feedback
* Using The Fourier Slice Theorem For Representation Of Object Views And Models With Application To Face Recognition
* Using The Gaussian Image To Find The Orientation Of Objects
* Using The Multistage Cube Network Topology In Parallel Supercomputers
* Using The Orientation Of Fragmentary 3d Edge Segments For Polyhedral Object Recognition
* Using Three-Dimensional Features To Improve Terrain Classification
* Using Time Stamps For Storing And Addressing Extendible Arrays
* Using Tolerances To Guarantee Valid Polyhedral Modeling Results
* Using Topological Information Of Images To Improve Stereo Matching
* Using Topological Sweep To Extract The Boundaries Of Regions In Maps Represented By Region Quadtrees
* Using Vanishing Points For Camera Calibration
* Using Vision Data In An Object-Level Robot Language-Rapt
* Using Visual Texture For Information Display
* Using Visualisation As A Tool For Model-Based Recognition
* Using Zernike Moments For The Illumination And Geometry Invariant Classification Of Multispectral Texture
* Utility-Based On-Line Exploration For Repeated Navigation In An Embedded Graph
* Utilization Of A Stripe Pattern For Dynamic Scene Analysis
* Utilization Of Information Measure As A Means Of Image Thresholding
* Utilization Of Local And Global Information For Automated Contour Extraction In Biomedical Imagery
* Utilization Of Multispectral Imagery For Cartographic Feature Extraction
* Utilization Of Stereo Disparity And Optical Flow Information For Human Interaction
* Utilizing Gradient Vector Distributions To Recover Motion Parameters
* Utilizing Symmetry In The Reconstruction Of Three-Dimensional Shape From Noisy Images
* Uwicl: A Multi-Layered Parallel Image Computing Library For Single-Chip Multiprocessor-Based Time-Critical Systems

Index for "v"


Last update:21-Oct-08 21:19:58
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