| _ | model | _ |
| Y-Tree-A Symbolic Spatial Data | model | , The |
| 2 1 2-D Hierarchical | model | Based On Planar Maps, A |
| 2-D Moving Average | model | s For Texture Synthesis And Analysis |
| 2-D Shape Classification Using Hidden Markov | model | |
| 3-D | model | Alignment Without Computing Pose |
| 3-D | model | Building For Computer Vision |
| 3-D | model | Building Using Cagd Techniques |
| 3-D | model | Construction From Mutiple Views Using Range And Intensity Data |
| 3-D | model | Localization Using High-Resolution Reconstruction Of Monocular Image Sequences |
| 3-D | model | Reconstruction And Processing For Cae |
| 3-D | model | -Based Tracking Of Human Upper Body Movement: A Multi-View Approach |
| 3-D | model | -Based Tracking Of Humans In Action: A Multi-View Approach |
| 3-D | model | -Data Comparisons And Nonrigid Deformations |
| 3-D Motion Estimation In | model | -Based Facial Image Coding |
| 3-D Motion Estimation Using A Sequence Of Noisy Stereo Images: | model | s, Estimation, And Uniqueness Results |
| 3-D Multiview Object Representations For | model | -Based Object Recognition |
| 3-D Object Recognition From Range Images By Using A | model | -Based Hopfield-Style Matching Algorithm |
| 3-D Object Recognition Through Implicit | model | Matching |
| 3-D Object Recognition Using Megi | model | From Range Data |
| 3-D Object Recognition With Symmetric | model | s: Symmetry Extraction And Encoding |
| 3-D Recognition And Shape Estimation From Image Contours Using Invariant 3-D Object Curve | model | s |
| 3-D Reconstruction Of Coronary Artery From Cine-Angiograms Based On Left Ventricular | model | |
| 3-D Reconstruction Of Urban Environments From Dense Digital Elevation | model | s |
| 3-D Vision System | model | For Automatic Object Surface Sensing, A |
| 3d B-Spline Curve Matching For | model | Based Object Recognition |
| 3d Data Driven Prediction For Active Contour | model | s Based On Geometric Bounding Volumes |
| 3d Human Body | model | Acquisition From Multiple Views |
| 3d | model | Acquisition From Extended Image Sequences |
| 3d | model | Acquisition From Monocular Image Sequences |
| 3d | model | Building Using A Fast Range Finder |
| 3d | model | Identification From Stereo Data |
| 3d | model | Recognition For Stereoscopic Cues, Mit Press, Cambridge |
| 3d | model | Recognition From Stereoscopic Cues, Mit Press, Cambridge |
| 3d | model | Reconstruction By Fusing Multiple Visual Cues |
| 3d | model | -Based Segmentation Of Videoconference Image Sequences |
| 3d | model | s From Contours: Further Identification Of Unexposed Areas |
| 3d Pose Estimation By Directly Matching Polyhedral | model | s To Gray Value Gradients |
| 3d Pose Estimation By Fitting Image Gradients Directly To Polyhedral | model | s |
| 3d Shape | model | ling Using A Multi-Scale Surface Model |
| 3d Shape Recovery Using A Deformable | model | |
| 3d Surface Estimation And | model | Construction From Specular Motion In Image Sequences |
| 3d Visualization Of Tomographic Volume Data Using The Generalized Voxel | model | |
| 3d World | model | Builder With A Mobile Robot, A |
| A) | model | -Based 3-D Tracking Of Rigid Objects From A Sequence Of Multiple Perspective Views |
| A.1. | model | s |
| A.1. | model | s |
| A.1. Texture: | model | s, synthesis |
| Abstract Code Network As A | model | Of Perceptual Memory |
| Accurate | model | For Quadtrees Representing Noiseless Images Of Spatial Data, An |
| Acquiring 3-D | model | s From Sequences Of Contours |
| Acquiring 3d | model | s From Rotation And Highlights |
| Acquiring 3d | model | s Of Non-Rigid Moving Objects From Time And Viewpoint Varying Image Sequences: A Step Toward Left Ventricle Recovery |
| Acquiring 3d Object | model | s From Specular Motion Using Circular Light(S) Illumination |
| Acquisition And Use Of Interaction Behavior | model | s, The |
| Acquisition Of Symbolic Description From Flow Fields: A New Approach Based On A Fluid | model | |
| Acronym | model | Based Vision In The Intelligent Task Automation Project |
| Acronym | model | Based Vision In The Intelligent Task Automation Project |
| Active 3d Object | model | s |
| Active Appearance | model | s |
| Active Contour | model | Based On Mathematical Morphology |
| Active Contour | model | For Extracting Human Faces |
| Active Lattice | model | In A Bayesian Framework, An |
| Active Region | model | s For Segmenting Medical Images |
| Active Region | model | s For Segmenting Textures And Colours |
| Active Self-Calibration Of Robotic Eyes And Hand-Eye Relationships With | model | Identification |
| Active Shape | model | s And The Shape Approximation Problem |
| Active Shape | model | s--Their Training And Application |
| Active Testing | model | For Tracking Roads In Satellite Image, An |
| Adaptive Bayesian Decision | model | For Motion Segmentation |
| Adaptive Computational | model | For Texture Segmentation, An |
| Adaptive Finite-Element Meshes For Progressive Contour | model | s |
| Adaptive | model | Base Indexing |
| Adaptive Segmentation Of Speckled Images Using A Hierarchical Random Field | model | |
| Adaptive-Size Physically-Based | model | s For Nonrigid Motion Analysis |
| Aerodynamic Force | model | s For Animating Cloth Motion In Air Flow |
| Affine Invariant | model | -Based Object Recognition |
| Affine-Invariant Active Contour | model | (Ai-Snake) For Model-Based Segmentation, An |
| Affine-Invariant Active Contour | model | (Ai-Snake) For Model-Based Segmentation, An |
| Agent Orientated Annotation In | model | Based Visual Surveillance |
| Algebraic Analysis Of The Generating Functional For Discrete Random Sets And Statistical Inference For Intensity In The Discrete Boolean Random-Set | model | |
| Algebraic Reasoning In View Consistency And Parameterized | model | Matching Problems |
| Algorithm For Invariant | model | Transfer And Object Reconstruction |
| Algorithm For Visible-Line And Visible-Surface Display Of Csg | model | s, An |
| Algorithm-Structured Computer Arrays And Networks-Architectures And Processes For Images, Percepts, | model | s, Information, Academic Press |
| Algorithms For Implicit Deformable | model | s |
| Aligning A | model | To An Image Using Minimal Information |
| Alternative | model | s For Fish-Eye Lenses |
| Analog Computation For Phase-Based Disparity Estimation: Continuous And Discrete | model | s |
| Analogy Between | model | -Based Vision And Diagnostic Expert Systems, An |
| Analysis And Synthesis Of Facial Image Sequences Using Physical And Anatomical | model | s |
| Analysis Of A | model | For Parallel Image Processing |
| Analysis Of Quadric-Surface-Based Solid | model | s |
| Analytically Tractable Potential Field | model | Of Free Space And Its Application In Obstacle Avoidance, An |
| Anatomical Object Recognition Using Deformable Geometric | model | s |
| Animation Of Deformable | model | s Using Implicit Surfaces |
| Animation System For Rigid And Deformable | model | s, An |
| Anisotropic Reflection | model | s |
| Anthropometric Face | model | Using Variational Techniques, An |
| Appearance- | model | -Based Representation And Matching Of 3-D Objects |
| Appearence Sphere: Background | model | For Pan-Tilt-Zoom Camera |
| Application Of 3-D | model | s To Computer Vision |
| Application Of Autoregressive | model | s To Fine Arts Painting Analysis |
| Application Of Digital Terrain | model | In Remote Sensing |
| Application Of Pose Determination Techniques To | model | Extension And Refinement |
| Applying Sensor | model | s To Automatic Generation Of Object Recognition Programs |
| Applying Uncertainty Reasoning To | model | Based Object Recognition |
| Approximation Of The Hunt94 Color Appearance | model | By Means Of Feed-Forward Neural Networks |
| Ar | model | s And Bidimensional Discrete Moments Applied To Texture Modelling And Recognition |
| Assessment Of Information Criteria For Motion | model | Selection, An |
| Association Of Adaptative Smoothing And Markovian | model | s For Detection Of Valley Bottoms On Strongly Noisy Images |
| Automated Basin Delineation From Digital Elevation | model | s Using Mathematical Morphology |
| Automated Conversion Of Curvilinear Wire-Frame | model | s To Surface Boundary Models: A Topological Approach |
| Automated Conversion Of Curvilinear Wire-Frame | model | s To Surface Boundary Models: A Topological Approach |
| Automated Facial Conformation For | model | -Based Videophone Coding |
| Automated Inspection Of Textile Fabrics Using Textural | model | s |
| Automated | model | Acquisition From Range Images With View Planning |
| Automated Urban | model | Acquisition: Project Rationale And Status |
| Automatic Acquisition Of Hierarchical, Textured 3d Geometric | model | s Of Urban Environments: Project Plan |
| Automatic Acquisition Of Visual | model | s For Image Recognition |
| Automatic And Robust Aerial Road Detection Based On Multihypothesis Generalized Kalman Filter Using Fully And Partially Occluded | model | s |
| Automatic Camera And Light-Source Placement Using Cad | model | s |
| Automatic Construction Of 3d Human Face | model | s Based On 2d Images |
| Automatic Construction Of A View-Independent Relational | model | For 3-D Object Recognition, The |
| Automatic Creation Of 3d Facial | model | s |
| Automatic Extraction Of Deformable Part | model | s |
| Automatic Face Identification System Using Flexible Appearance | model | s |
| Automatic Finding Of Main Roads In Aerial Images By Using Geometric-Stochastic | model | s And Estimation |
| Automatic Finding Of Main Roads In Aerial Images By Using Geometric-Stochastic | model | s And Estimation |
| Automatic Finding Of Main Roads In Aerial Images By Using Geometric-Stochastic | model | s And Estimation |
| Automatic Generation Of Recognition Strategies Using Cad | model | s |
| Automatic Inference Of Elevation And Drainage | model | s From A Satellite Image |
| Automatic Interpretation And Coding Of Face Images Using Flexible | model | s |
| Automatic Learning Of Structural | model | s For Workpiece Recognition Systems |
| Automatic | model | Construction And Pose Estimation From Photographs Using Triangular Splines |
| Automatic | model | Construction For Object Recognition Using Inverse Synthetic Aperture Radar Images |
| Automatic | model | Construction For Object Recognition Using Isar Images |
| Automatic | model | Construction, Pose Estimation, And Object Recognition From Photographs Using Triangular Splines |
| Automatic Object Recognition From Range Imagery Using Appearance | model | s |
| Automatic Shape | model | Acquisition Using Multiscale Segment Matching |
| Autonomous Construction Of Three-Dimensional | model | s From Range Data |
| Autoregressive | model | Approach To Two-Dimensional Shape Classification, An |
| Auxiliary Variables For Deformable | model | s |
| Bayesian Approach To | model | Matching With Geometric Hashing, A |
| Bayesian Clustering For Unsupervised Estimation Of Surface And Texture | model | s |
| Bayesian Compatibility | model | For Graph Matching, A |
| Bayesian Labelling Of Corners Using A Grey-Level Corner Image | model | |
| Bayesian Region Merging Probability For Parametric Image | model | s |
| Bayesian Segmentation Methodology For Parametric Image | model | s, A |
| Beginning A Transition From A Local To A More Global Point Of View In | model | -Based Vehicle Tracking |
| Belief Networks, Hidden Markov | model | s, And Markov Random Fields: A Unifying View |
| Benchmark Evaluation Of A | model | -Based Object Recognition System |
| Biologically Inspired Recognition | model | With Extension Fields |
| Bispectral Analysis And | model | Validation Of Texture Images |
| Blended Deformable | model | s |
| Blended Deformable | model | s |
| Block Shift-Variant Blur | model | For Recovering Depth From Defocused Images, A |
| Blurring Strategies For Image Segmentation Using A Multiscale Linking | model | |
| Bond Percolation-Based | model | For Image Segmentation, A |
| Book Of Genesis (2nd Ed.): Exploring Realistic Neural | model | s With The General Neural Simulation System, Springer, The |
| Bootstrapping Algorithm For Learning Linear | model | s Of Object Classes, A |
| Bootstrapping Algorithm For Learning Linear | model | s Of Object Classes, A |
| Boundary Finding With Correspondence Using Statistical Shape | model | s |
| Boundary Finding With Parametrically Deformable | model | s |
| Building 3-D | model | s From Unregistered Range Images |
| Building A 3d World | model | With A Mobile Robot: 3d Line Segment Representation And Integration |
| Building A World | model | For A Mobile Robot Using Dynamic Semantic Constraints |
| Building An Environment | model | Using Depth Information |
| Building And Using Flexible | model | s Incorporating Gray-Level Information |
| Building Perspective | model | s To Guide A Row Crop Navigation Vehicle |
| Building Qualitative Event | model | s Automatically From Visual Input |
| Building Skeleton | model | s Via 3-D Medial Surface/Axis Thinning Algorithms |
| Building Three-Dimensional Object | model | s From Image Sequences |
| Building Wide Area 2-D Site | model | s From High Resolution Fully Polarimetric Synthetic Aperture Radar Images |
| Bus Automata, Brains, And Mental | model | s |
| Cad | model | Acquisition Using Binary Space Partitioning Trees |
| Cad | model | -Based Localization Of Parts In Manufacturing |
| Cad-Based Computer Vision: From Cad | model | s To Relational Graphs |
| Calculating Surface Reflectance Using A Single-Bounce | model | Of Mutual Reflection |
| Calibration Of A Camera And Light Source By Fitting To A Physical | model | |
| Calibration Of Stereo Cameras Using A Non-Linear Distortion | model | |
| Camera Calibration With Distortion | model | s And Accuracy Evaluation |
| Camera | model | For Reciprocal-Wedge Transform |
| Camera | model | s Using Multiple Frames |
| Can Human Texture Discrimination Be Mimicked By A Computer | model | Using Local Fourier Analysis? |
| Can Too Much Perspective Spoil The View? A Case Study In 2d Affine Versus 3d Perspective | model | Matching |
| Cartographic Applications Of | model | -Based Optimization |
| Casting Light On Illumination: A Computational | model | And Dimensional Analysis Of Sources |
| Caustics And Specular Reflection | model | s For Spherical Objects And Lenses |
| Cellular Automata On Trees, A | model | For Parallel Computation |
| Cellular Automaton | model | For The Determination Of The Mean Velocity Of Moving Objects And Its Vlsi Implementation, A |
| Cellular Automaton | model | Of Particle Motions And Its Applications, A |
| Changes In Connectivity In Active Contour | model | s |
| Characterization And Estimation Of Two-Dimensional Arma | model | s |
| Characterization Of Illumination | model | s And Shading Techniques, A |
| Class Of Adaptive | model | - And Object-Driven Nonuniform Sampling Methods For 3-D Inspection, A |
| Class Of Probabilistic Shape | model | s, A |
| Classification Of Rotated And Scaled Textured Images Using Gaussian Markov Random Field | model | s |
| Classification Quality Assessment For A Generalized | model | -Based Object Identification System |
| Cluster Validation For Unsupervised Stochastic | model | -Based Image Segmentation |
| Cluster Validation For Unsupervised Stochastic | model | -Based Image Segmentation |
| Cluster-Based Probability | model | And Its Application To Image And Texture Processing |
| Coding-Oriented Video Segmentation Inspired By Mrf | model | s |
| Cognitive And Computational | model | s Of Spatial Representation, Stanford, Ca |
| Cognitive | model | Of Figure Segregation, A |
| Color Constancy Computation In Near-Mondrian Scenes Using A Finite Dimensional Linear | model | |
| Color Image Analysis With An Intrinsic Reflection | model | |
| Color Image Retrieval Based On Hidden Markov | model | s |
| Color Image Retrieval Based On Hidden Markov | model | s |
| Color Perception Of Aperture Colors Using A Computational | model | Of The Human Visual System |
| Color Reflectance | model | And Its Use For Segmentation, A |
| Colour | model | Selection And Adaptation In Dynamic Scenes |
| Combinatorial Optimization Applied To Variable Scale 2d | model | Matching |
| Combinatorics Of Local Constraints In | model | -Based Recognition And Locatization From Sparse Data, The |
| Combining Geometric And Appearance | model | s For Change Detection |
| Combining Image Analysis And Thermal | model | s For Infrared Scene Simulations |
| Combining Point Distribution | model | s With Shape Models Based On Finite Element Analysis |
| Combining Point Distribution | model | s With Shape Models Based On Finite Element Analysis |
| Combining Range And Intensity Data With A Hidden Markov | model | |
| Comments On Fingerprints Of Two-Dimensional Edge | model | s |
| Comments On ``A | model | For Radar Images And Its Application To Adaptive Digital Filtering Of Multiplicative Noise'' |
| Comments On ``Application Of The Conditional Population-Mixture | model | To Image Segmentation'' |
| Comments On ``Two-Dimensional Interpolation By Generalized Spline Filters Based On Partial Differential Equation Image | model | s'' |
| Compact Multiresolution Representation: The Wavelet | model | , A |
| Comparative Study Of Nonlinear Shape | model | s For Digital Image Processing And Pattern Recognition, A |
| Comparison Of Active Shape | model | And Scale Decomposition Based Features For Visual Speech Recognition, A |
| Compilation And Sufficient Representation Of Object | model | s For Visual Representation |
| Complete Spectral Characterization Of Quarter-Plane Autoregressive | model | s, A |
| Complex Autoregressive | model | For Shape Recognition |
| Complex Character Positioning Based On A Compatible Flow | model | Of Multiple Supports |
| Complex | model | s For Animating Synthetic Actors |
| Compliant Motion Planning With Geometric | model | s |
| Composite Edge Detection With Random Field | model | s |
| Composite Edge Detection With Random Field | model | s |
| Comprehensive Physical | model | For Light Reflection, A |
| Computation Of Dense Optical Flow With A Parametric Smoothness | model | |
| Computational And Biological | model | s Of Stereo Vision |
| Computational Limitations Of | model | -Based Recognition |
| Computational | model | For Binocular Motion Processing, A |
| Computational | model | For Process-Grammar, A |
| Computational | model | For Shape Estimation By Integration Of Shading And Edge Information, A |
| Computational | model | Of Binocular Depth Perception, A |
| Computational | model | Of Depth-Based Attention, A |
| Computational | model | Of Mathematical Morphology, A |
| Computational | model | Of Neural Contour Processing: Figure-Ground Segregation And Illusory Contours, A |
| Computational | model | Of Texture Segmentation, A |
| Computational | model | Of The Human Visual System For Color-Coding: Results With Adaptation And Colored Surrounds, A |
| Computational | model | s For Image Understanding |
| Computational | model | s In Human Vision (Rochester, Ny |
| Computational | model | s Of Visual Processing, Mit Press, Cambridge |
| Computer | model | Of Human Retinal Visual Processing: Effect Of Compressive Nonlinearity On Spatial-Frequency Filters, A |
| Computer Vision, | model | s, And Inspection, World Scientific |
| Computer Vision, | model | s, And Inspection, World Scientific |
| Computer-Aided Geometric Design Based 3-D | model | s For Machine Vision |
| Computing 3d | model | s Of Rotating Objects From Moving Shading |
| Computing Differential Properties Of 3-D Shapes From Stereoscopic Images Without 3-D | model | s |
| Concerning Bayesian Motion Segmentation, | model | Averaging, Matching And The Trifocal Tensor |
| Connectionist Approach To 3-D Object Recognition: Matching Of Parameterized | model | s And Monocular Image |
| Connectionist | model | Binarization |
| Connectionist | model | For Local Speed Estimation, A |
| Connectionist | model | Of Extrapersonal Space, A |
| Connectionist | model | s And Parallelism In High Level Vision |
| Connectionist | model | s And Their Implications, Ablex, Norwood |
| Connectionist | model | s Of Face Processing: A Survey |
| Consistent Site | model | ing: Imposing Hard Constraints On Deformable Models |
| Constrained Active Region | model | s For Fast Tracking In Color Image Sequences |
| Constraining Object Features Using A Polarization | model | |
| Constraint Learning Feedback Dynamic | model | For Stereopsis, A |
| Constraint Methods For Flexible | model | s |
| Constraints On Deformable | model | s: Recovering 3d Shape And Nonrigid Motion |
| Constructing 3-D Object | model | s Using Multiple Simulated 2.5-D Sketches |
| Constructing A 3d Individualized Head | model | From Two Orthogonal Views |
| Constructing High-Precision Geometric | model | s From Sensed Position Data |
| Constructing Implicit Shape | model | s From Boundary Data |
| Constructing Intrinsic Parameters With Active | model | s For Invariant Surface Reconstruction |
| Constructing Object | model | s From Multiple Images |
| Construction Of A Polygonal | model | Using The Fisher-Ratio Criterion |
| Construction Of Polyhedral | model | s From Multiple Range Views |
| Constructive Solid Geometry Using The Isoluminance Contour | model | |
| Context-Constrained Matching Of Hierarchical Cad-Based | model | s For Outdoor Scene Interpretation |
| Contextual Feature Similarities For | model | -Based Object Recognition |
| Continuous Symmetry: A | model | For Human Figural Perception |
| Contour Detection Using Multi-Scale Active Shape | model | s |
| Contour Length Terminating Criterion For Snake | model | |
| Contour | model | s For Curvature Estimation And Shape Decomposition |
| Controlling Eye Movements With Hidden Markov | model | s |
| Controlling View-Based Algorithms Using Approximate World | model | s And Action Information |
| Convex Approximation Of Regularization | model | s For Motion Estimation With Markov Random Fields, A |
| Cooperative Framework For Segmentation Using 2d Active Contours And 3d Hybrid | model | s As Applied To Branching Cylindrical Structures, A |
| Coregistering 3d | model | s, Range, And Optical Imagery Using Least-Median Squares Fitting |
| Correlation Structure Based Approach To Neighborhood Selection In Random Field | model | s Of Texture Images, A |
| Cost Of Choosing The Wrong | model | In Object Recognition By Constrained Search, The |
| Coupled Hidden Markov | model | s For Complex Action Recognition |
| Coupled Pde | model | Of Nonlinear Diffusion For Image Smoothing And Segmentation, A |
| Cubic Facet | model | Edge Detector And Ridge-Valley Detector: Implementation Details |
| Cubic Rational Polynomial Camera | model | , The |
| Cubical Singular Simplex | model | For 3d Objects And Fast Computation Of Homology Groups |
| Data And | model | Driven Foveation |
| Data And | model | -Driven Selection Using Closely-Spaced Parallel-Line Groups |
| Data And | model | -Driven Selection Using Color Regions |
| Data And | model | -Driven Selection Using Color Regions |
| Data And | model | -Driven Selection Using Color Regions |
| Data Flow Computer Architecture For Markov Image | model | s, A |
| Data, | model | s, And Images |
| Data- And | model | -Driven Multiresolution Processing |
| Data- And | model | -Driven Selection Using Parallel Line Groups |
| Decision Rule For The Choice Of Gaussian Or Lognormal | model | s For Images, A |
| Decision Tree Design Using A Probabilistic | model | |
| Deformable | model | For Human Organ Extraction, A |
| Deformable | model | Of The Human Iris For Measuring Small Three-Dimensional Eye Movements, A |
| Deformable | model | -Based Image Segmentation Algorithm For Shapes With Corners, A |
| Deformable | model | -Based Shape And Motion Analysis From Images Using Motion Residual Error |
| Deformable | model | s |
| Deformable | model | s For 3d Medical Images Using Finite Elements & Balloons |
| Deformable | model | s In Medical Image Analysis, Ieee Computer Society Press, Los Alamitos |
| Deformable | model | s With Parameter Functions: Application To Heart-Wall Modeling |
| Deformable | model | s: Canonical Parameters For Surface Representation And Multiple View Integration |
| Deformable Surface-Spine | model | For 3-D Surface Registration, A |
| Depth And Image Recovery Using A Mrf | model | |
| Deriving Coarse 3d | model | s Of Objects |
| Deriving Digital Terrain | model | s From Landsat Data |
| Deriving Facial Articulation | model | s From Image Sequences |
| Description Of Complex Objects From Multiple Range Images Using An Inflating Balloon | model | |
| Description Of Various 3-D | model | s, A |
| Design And Implementation Of A Colour Vision | model | For Computer Vision Applications |
| Designing Parametric Blends: Surface | model | And Geometric Correspondence |
| Detecting Changes Of Buildings From Aerial Images Using Shadow And Shading | model | |
| Detection And Pose Estimation Of Human Face With Synthesized Image | model | s |
| Detection Of Human Faces In Complex Scene Images By Use Of A Skin Color | model | And Of Invariant Fourier-Mellin Moments |
| Determining Back-Facing Curved | model | Surfaces By Analysis At The Boundary |
| Determining The Similarity Of Geometric | model | s |
| Developing A Quantitative | model | Of Human Preattentive Vision |
| Development Tools For A | model | Directed Workpiece Recognition System |
| Developmental | model | s Of Herbaceous Plants For Computer Imagery Purposes |
| Differential Surface | model | s For Tactile Perception Of Shape And On-Line Tracking Of Features |
| Differentiation-Based Edge Detection Using The Logarithmic Image Processing | model | |
| Digital Elevation | model | Analysis Using The Contact Surface Area |
| Digital Elevation | model | Production By Stereo-Matching Spot Image Pairs: A Comparison Of Two Algorithms |
| Direct Recovery Of Superquadric | model | s In Range Images Using Recover-And-Select Paradigm, A |
| Direct Shape From Texture Using A Parametric Surface | model | And An Adaptive Filtering Technique |
| Discontinuity Adaptive Mrf | model | For The Analysis Of Synthetic Aperture Radar Images |
| Discrete Active | model | s And Applications |
| Discrete | model | s For Energy-Minimizing Segmentation |
| Displacement Method For Implicit Blending Surfaces In Solid | model | s, The |
| Displacement Vector Field Computation By Temporal Covariance | model | |
| Distance Field Manipulation Of Surface | model | s |
| Distance Metric Between 3d | model | s And 2d Images For Recognition And Classification |
| Distance Metric Between 3d | model | s And 2d Images For Recognition And Classification |
| Drawing Human Hair Using The Wisp | model | |
| Drawing Image Understanding Using State Transition | model | s |
| Drawing Scene Perception | model | Based On The Human Visual System, A |
| Dynamic 3d | model | s With Local And Global Deformations: Deformable Superquadrics |
| Dynamic 3d | model | s With Local And Global Deformations: Deformable Superquadrics |
| Dynamic And Multiresolution | model | Of Visual Attention And Its Application To Facial Landmark Detection, A |
| Dynamic Archival Scene | model | |
| Dynamic Attention Map By Ising | model | For Human Face Detection |
| Dynamic Foveal 3d Sensing Using Affine | model | s |
| Dynamic Integration Algorithm To | model | Surfaces From Multiple Range Views, A |
| Dynamic | model | Matching For Target Recognition From A Mobile Platform |
| Dynamic | model | Of Visual Recognition Predicts Neural Response Properties In The Visual Cortex |
| Dynamic Programming Algorithm For Elastic Registration Of Distorted Pictures Based On Autoregressive | model | s, A |
| Dynamic Pyramid-A | model | For Motion Analysis With Controlled Continuity, The |
| Dynamic Wires: An Analog Vlsi | model | For Object-Based Processing |
| Dynamic-Scale | model | Construction From Range Imagery |
| Edge And Line Feature Extraction Based On Covariance | model | s |
| Edge Detection And Curve Enhancement Using The Facet | model | And Parameterized Relaxation Labeling |
| Edge Detection And Linear Feature Extraction Using A 2-D Random Field | model | |
| Edge Detection | model | s Based On Gabor Filters |
| Edge Detection Technique Using The Facet | model | And Parameterized Relaxation Labeling, An |
| Edge Detection Using The Directional Derivatives Of A Space Varying Correlated Random Field | model | |
| Edge Detection Using The Linear | model | |
| Edge-Finding In Human Vision: A Multi-Stage | model | Based On The Perceived Structure Of Plaids |
| Efficient 3-D Visualization Technique For Finite Element | model | s And Other Coarse Volumes, An |
| Efficient 3d Deformable | model | With A Self-Optimising Mesh, An |
| Efficient Algorithm For The Inexact Matching Of Arg Graphs Using A Contextual Transformational | model | , An |
| Efficient Approach For Facial Feature Detection Using Geometrical Face | model | , An |
| Efficient Data Structures For | model | -Based 3-D Object Recognition And Localization From Range Images |
| Efficient Image Understanding Based On The Markov Random Field | model | And Error Backpropagation Network |
| Efficient Indexing Techniques For | model | Based Sensing |
| Efficient | model | Library Access By Projectively Invariant Indexing Functions |
| Efficient | model | s For Color Textures |
| Efficient Multiple | model | Recognition In Cluttered 3-D Scenes |
| Efficient Nonlinear Finite Element | model | ing Of Nonrigid Objects Via Optimization Of Mesh Models |
| Efficient Region Tracking With Parametric | model | s Of Geometry And Illumination |
| Efficient Rendering Of Projective | model | For Image-Based Visualization |
| Efficient Shape Matching Through | model | -Based Shape Recognition |
| Efficiently Using Invariant Theory For | model | -Based Matching |
| Egomotion Analysis Based On The Frenet-Serret Motion | model | |
| Egomotion Analysis Based On The Frenet-Serret Motion | model | |
| Elastic- | model | Driven Analysis Of Several Views Of A Deformable Cylindrical Object |
| Elastically Adaptive Deformable | model | s |
| Elastically Deformable | model | s |
| Eliminating Redundant Primitives From Set-Theoretic Solid | model | s By A Consideration Of Constituents |
| Emerging Hypothesis Verification Using Function-Based Geometric | model | s And Active Vision Strategies |
| Empirical Results With A | model | Of Color Vision |
| Empirical Study Of The Simulation Of Various | model | s Used For Images, An |
| Encoded Grid Generation From A Computer Solid | model | |
| Encoded Moire' Inspection Based On A Computer Solid | model | |
| Encoding Of A Priori Information In Active Contour | model | s |
| Energy Constraints On Deformable | model | s: Recovering Shape And Non-Rigid Motion |
| Energy Constraints On Parameterized | model | s |
| Enhanced 3d Representation Using A Hybrid | model | |
| Enhanced Fisher Linear Discriminant | model | s For Face Recognition |
| Enhancement And Detection Of Convex Objects Using Regression | model | s |
| Entropic Thresholding Using A Block Source | model | |
| Error Correction In Laser Scanner Three-Dimensional Measurement By Two-Axis | model | And Coarse-Fine Parameter Search |
| Estimating A Global Shape | model | For Objects With Badly Defined Boundaries |
| Estimating Coloured 3d Face | model | s From Single Images: An Example-Based Approach |
| Estimating Optical Flow In Segmented Images Using Variable-Order Parametric | model | s With Local Deformations |
| Estimating The Parameters Of An Illumination | model | Using Photometric Stereo |
| Estimation Of 3-D Parametric | model | s From Shading Image Using Genetic Algorithms |
| Estimation Of Geometry And Motion Of A Surface From Image Sequences By Means Of Linearization Of A Parametric | model | , The |
| Estimation Of Linear Parametric | model | s Of Non-Gaussian Discrete Random Fields With Application To Texture Synthesis |
| Estimation Of The Chin And Cheek Contours For Precise Face | model | Adaptation |
| Estimation Of Time-To-Collision Maps From First Order Motion | model | s And Normal Flows |
| Et Al., Parallel Distributed Processing-Explorations In The Microstructure Of Cognition (Volume 1: Foundations; Volume 2: Psychological And Biological | model | s), Mit Press, Cambridge |
| Euclidean Distance Transformations And | model | -Guided Image Interpretation |
| Evaluation Of A Road-Centerline Data | model | |
| Evaluation Of Physically Based Statistical Colour | model | s For Image Region Characterization, An |
| Evaluation Of Stochastic | model | s For Analysis And Synthesis Of Gray-Scale Texture, An |
| Evolution And Testing Of A | model | -Based Object Recognition System, The |
| Experimental Comparison Of Rgb, Yiq, Lab, Hsv, And Opponent Color | model | s, An |
| Experiments In Segmentation Using A Facet | model | Region Grower |
| Experiments In Semiautonomous Registration Of Disparate Spatial Data: Two New Techniques And A | model | For Comparison |
| Explicit Additive Noise | model | s For Uniform And Nonuniform Mmse Quantization |
| Extended Octtree Representation Of General Solids With Plane Faces: | model | Structure And Algorithms |
| Extending The Point Distribution | model | Using Polar Coordinates |
| Extensions Of The Linear And Area Lighting | model | s |
| Extracting Generic Shapes Using | model | -Driven Optimization |
| Extracting Line Features From Synthetic Aperture Radar (Sar) Scenes Using A Markov Random Field | model | |
| Extraction Of Deformable Part | model | s |
| Extruded Generalized Cylinder: A Deformable | model | For Object Recovery, The |
| Face Detection And Recognition Using Hidden Markov | model | s |
| Face Recognition Using Active Appearance | model | s |
| Face-Texture | model | Based On Sgld And Its Application |
| Facial Expression Recognition Using A Dynamic | model | And Motion Energy |
| Facial Expression Recognition Using | model | -Based Feature Extraction And Action Parameter(S) Classification |
| Facial Feature Detection Using Geometrical Face | model | : An Efficient Approach |
| Fall Symposium On Computational | model | s For Integrating Language And Vision, Cambridge, Ma |
| Fast 3d | model | Based Vision |
| Fast And Accurate Light Reflection | model | , A |
| Fast And Robust Cluster Update Algorithm For Image Segmentation In Spin-Lattice | model | s Without Annealing | Visual Latencies Revisited, A |
| Fast Image Search Using A Multiscale Stochastic | model | |
| Fast Ray Tracing 3d | model | s |
| Fast Recursive Estimation Of The Parameters Of A Space-Varying Autoregressive Image | model | |
| Fast Vision-Guided Mobile Robot Navigation Using | model | -Based Reasoning And Prediciton Of Uncertainties |
| Feature Extraction For Texture Discrimination Via Random Field | model | s With Random Spatial Interaction |
| Feature Extraction From Boundary | model | s Of Three-Dimensional Objects |
| Feature Extraction Using Attributed Scattering Center | model | s For Model-Based Automatic Target Recognition |
| Feature Extraction Using Attributed Scattering Center | model | s For Model-Based Automatic Target Recognition |
| Feature Extraction Using Attributed Scattering Center | model | s For Model-Based Automatic Target Recognition |
| Feature Extraction Using Attributed Scattering Center | model | s For Model-Based Automatic Target Recognition |
| Filter For Visual Tracking Based On A Stochastic | model | For Driver Behaviour, A |
| Filter-Based | model | s For Pattern Classification |
| Finding Map Correspondence Using Geometric | model | s |
| Finite Element Method Applied To New Active Contour | model | s And 3d Reconstruction From Cross Sections, A |
| Finite Element | model | For 3d Shape Reconstruction And Nonrigid Motion Tracking, A |
| Finite-Element Methods For Active Contour | model | s And Balloons For 2-D And 3-D Images |
| Fitting Parameterized Three-Dimensional | model | s To Images |
| Fitting Undeformed Superquadrics To Range Data: Improving | model | Recovery And Classification |
| Flexible 3d | model | s From Uncalibrated Cameras |
| Flexible Colour Point Distribution | model | s |
| Flexible Histograms: A Multiresolution Target Discrimination | model | |
| Flocks, Herds, And Schools: A Distributed Behavioral | model | |
| Formation Of Partial 3d | model | s From 2d Projections-An Application Of Algebraic Reasoning, The |
| Forming A Three Dimensional Environment | model | Using Multiple Observations |
| Four Frames Suffice: A Provisional | model | Of Vision And Space |
| Frame Adaptive Segmentation For | model | -Based Videophone Coding |
| Frame Buffer Algorithms For Stochastic | model | s |
| Frame-Based | model | For Hand Gesture Recognition, A |
| Framework For Segmentation Using Physical | model | s Of Image Formation, A |
| Framework For Segmentation Using Physical | model | s Of Image Formation, A |
| Free-Form Deformation Of Solid Geometric | model | s |
| From 2d Surface Patches To 3d Reconstructed | model | s: Theory And Applications |
| From Accurate Range Imaging Sensor Calibration To Accurate | model | -Based 3-D Object Localization |
| From Global To Local, A Continuum Of Shape | model | s With Fractal Priors |
| From Images To | model | s: Automatic 3d Object Model Construction From Multiple Views |
| From Images To | model | s: Automatic 3d Object Model Construction From Multiple Views |
| From Line Drawings To Impressions Of 3d Objects: Developing A | model | To Account For The Shapes That People See |
| From Parametric Warping To The Cooperation Of Local Features And Global | model | s |
| Fully 3d Active Surface | model | s With Self-Inflation And Self-Deflation Forces |
| Functional | model | For Constructive Solid Geometry, A |
| Fuzzy | model | s For Pattern Recognition, Ieee Press, Piscataway |
| Fuzzy Probabilistic | model | For The Generalized Hough Transform, A |
| G.2 Texture: | model | s, synthesis |
| G.2. Texture | model | s |
| G.3. Texture: | model | s, synthesis |
| Gaussian Derivative | model | For Edge Enhancement |
| Gaussian Error | model | s For Object Recognition |
| Gaussian Mixture | model | For Edge-Enhanced Images With Application To Sequential Edge Detection And Linking, A |
| General | model | -Based 3d Surface Estimation, Recognition And Segmentation From Multiple Images |
| General Motion | model | And Spatio-Temporal Filters For Computing Optical Flow, A |
| General Purpose | model | For Image Operations Based On Multilayer Perceptrons, A |
| Generalization Of Lambert'S Reflectance | model | |
| Generalization Of The Lambertian | model | |
| Generalization Of The Lambertian | model | And Implications For Machine Vision |
| Generalization To Novel Views: Universal, Class-Based, And | model | -Based Processing |
| Generalized Brightness Change | model | For Computing Optical Flow, A |
| Generalized Motion | model | For Estimating Optical Flow Using 3-D Hermite Polynomials, A |
| Generalized Sloped Facet | model | s Useful In Multispectral Image Analysis |
| Generalized Tube | model | : Recognizing 3d Elongated Objects From 2d Intensity Images |
| Generating A Smooth Voxel-Based | model | From An Irregular Polygon Mesh |
| Generating An Interpretation Tree From A Cad | model | For 3d-Object Recognition In Bin-Picking Tasks |
| Generating And Generalizing | model | s Of Visual Objects |
| Generating Octree | model | s Of 3d Objects From Their Silhouettes In A Sequence Of Images |
| Generating Spatiotemporal | model | s From Examples |
| Generating The Initial Hypothesis Using Perspective Invariants For A 2d Image And 3d | model | Matching |
| Generation Of Face-Edge-Vertex | model | s Directly From Images |
| Generic | model | s For Robot Navigation |
| Generic, | model | -Based Edge Estimation In The Image Surface |
| Generic, | model | -Based Estimation And Detection Of Discontinuities In Image Surfaces |
| Generic, | model | -Based Estimation And Detection Of Peaks In Image Surfaces |
| Geometric Deformable | model | [S] And Segmentation |
| Geometric Hashing: A General And Efficient | model | -Based Recognition Scheme |
| Geometric Information Criterion For | model | Selection |
| Geometric | model | s For Active Contours |
| Geometrically Deformed | model | s: A Method For Extracting Closed Geometric Models From Volume Data |
| Geometrically Deformed | model | s: A Method For Extracting Closed Geometric Models From Volume Data |
| Gibbs | model | s For Bayesian Simulation And Segmentation Of Piecewise-Uniform Textures |
| Gibbs Random Field | model | Based 3-D Motion Estimation By Weakened Rigidity |
| Gibbs Random Field | model | Based Weight Selection For The 2-D Adaptive Weighted Median Filter |
| Glhs: A Generalized Lightness, Hue, And Saturation Color | model | |
| Global Alignment Of Mr Images Using A Scale Based Hierarchical | model | |
| Global Human Walking | model | With Real-Time Kinematic Personification, A |
| Global Minimum For Active Contour | model | s: A Minimal Path Approach |
| Global Minimum For Active Contour | model | s: A Minimum Path Approach |
| Global | model | s With Parametric Offsets As Applied To Cardiac Motion Recovery |
| Gmrf | model | s And Wavelet Decomposition For Texture Segmentation |
| Good Vibrations: | model | Dynamics For Graphics And Animation |
| Gradient Flows And Geometric Active Contour | model | s |
| Gradient Threshold Selection Using The Facet | model | |
| Graph Representation Of A Hierarchical Surface | model | |
| Graph-Theoretic Approach To | model | Matching In Computer Vision, A |
| Graphical Templates For | model | Registration |
| Graphics And Prediction From | model | s |
| Ground Plane Motion Camera | model | s |
| Ground-State Texture Patterns For The Second-Order Ising | model | |
| Groundtruthing The Radius | model | -Board Imagery |
| Gss-A Fast, | model | -Based Grey-Scale Sensor System For Workpiece Recognition |
| Gss-A Fast, | model | -Based Vision System For Workpiece Recognition |
| Guest Ed., Special Issue: Connectionist | model | s And Their Applications, Cognitive Science 9(1) |
| Guest Eds., (Special Section On) Neurocomputing: Motivation, | model | s, And Hybridization |
| Guest Eds., Special Issue On | model | -Based Vision |
| Guest Eds., Special Issue-Active Robot Vision: Camera Heads, | model | Based Navigation And Reactive Control |
| H.2. Texture: | model | s, synthesis |
| H.3. Digital geometry, formal | model | s, connectedness |
| Harmonic | model | s Of Shape Transformations In Digital Images And Patterns |
| Harmonic | model | s Of Shape Transformations In Digital Images And Patterns |
| Hermes Autonomous Vision System: The Flat Quadtree | model | |
| Heuristic Linking | model | s In Multiscale Image Segmentation |
| Hidden Markov | model | Based Continuous Online Gesture Recognition |
| Hidden Markov | model | For Dynamic Obstacle Avoidance Of Mobile Robot Navigation |
| Hidden Markov | model | s Vs. Syntactic Modeling In Object Recognition |
| Hidden Tree-Like Quasi-Markov | model | And Generalized Technique For A Class Of Image Analysis Problems |
| Hierarchical And Adaptive Deformable | model | For Mouth Boundary Detection, A |
| Hierarchical Bayesian Methods For Recognition And Extraction Of 3-D Shape Features From Cad Solid | model | s |
| Hierarchical Boundary | model | For Solid Object Representation, A |
| Hierarchical Boundary | model | For Variable Resolution Representation Of Three-Dimensional Objects, A |
| Hierarchical Classification Of Paintings Using Face- And Brush Stroke | model | s |
| Hierarchical Hough: Advantages And Automatic Construction Of The | model | s |
| Hierarchical Markov Random Field | model | And Multitemperature Annealing For Parallel Image Classification, A |
| Hierarchical | model | For Multiresolution Surface Reconstration, A |
| Hierarchical | model | -Based Motion Estimation |
| Hierarchical Morphable | model | s |
| Hierarchical Statistical | model | s For The Fusion Of Multiresolution Image Data |
| High-Quality 3d Multiview | model | -Building Technique Based On Cad, A |
| Histogram | model | For 3d Textures |
| Histogram | model | For 3d Textures |
| Hole-Spectrum Representation And | model | -Based Optimal Morphological Restoration Of Binary Images Degraded By Subtractive Noise |
| Homotopy | model | : A Generalized Model For Smooth Surface Generation From Cross Sectional Data, The |
| Homotopy | model | : A Generalized Model For Smooth Surface Generation From Cross Sectional Data, The |
| Hopfield | model | , World Scientific, The |
| Horizon Computation On A Hierarchical Triangulated Terrain | model | |
| How Easy Is Matching 2d Line | model | s Using Local Search |
| Human Motion Analysis Based On A Robot Arm | model | |
| Human Skin | model | Capable Of Natural Shape Variation |
| Human Vision And Electronic Imaging: | model | s, Methods, And Applications (Santa Clara, Ca, February 12-14 |
| Human Vision Based Computational | model | For Chromatic Texture Segregation, A |
| Hybrid Approach Toward | model | -Based Texture Segmentation, A |
| Hybrid Approaches To Frontal View Face Recognition Using (The) [A] Hidden Markov | model | And Neural Network |
| Hybrid Framework For Surface Registration And Deformable | model | s, A |
| Hybrid Hyperquadric | model | For 2-D And 3-D Data Fitting, A |
| Hyper-Patches For 3d | model | Acquisition And Tracking |
| Hyperquadric | model | For 2-D And 3-D Data Fitting, A |
| Hypothesis Selection For Scene Interpretation Using Grammatical | model | s Of Scene Evolution |
| Hypothesis Verification In | model | -Based Object Recognition With A Gaussian Error Model |
| Hypothesis Verification In | model | -Based Object Recognition With A Gaussian Error Model |
| Hypothesis Verification Usingparametric | model | s And Active Vision Strategies |
| I.1. | model | s, Synthesis |
| I.1. | model | s, synthesis |
| I.1. | model | s, synthesis |
| I.2. Texture: | model | s, synthesis |
| I.2. Texture: | model | s, synthesis |
| I.2. Texture: | model | s, synthesis |
| I.2. Texture: | model | s, Synthesis, Segmentation |
| Iconic Representation Of Visual Data And | model | s |
| Identification Approach For 2-D Autoregressive | model | s In Describing Textures, An |
| Identification Of Autocorrelation | model | Of Discrete Random Images, The |
| Identification Of Interreflection In Color Images Using A Physics-Based Reflection | model | |
| Identifying Planes For The Construction Of The World | model | Of A Mobile Robot |
| Image Analysis For Advertisement Purpose: A Computational | model | Of Visual Perception |
| Image Classification Using Spectral And Spatial Information Based On Mrf | model | s |
| Image Enhancement Using A Human Visual System | model | |
| Image Estimation Using Doubly Stochastic Gaussian Random Field | model | s |
| Image Manipulation Using M-Filters In A Pyramidal Computer | model | |
| Image | model | Based On Occluding Object Images And Maximum Entropy, An |
| Image | model | For Quantitative Image Analysis, An |
| Image | model | , Poisson Distribution And Object Extraction |
| Image | model | s |
| Image | model | s For 2-D Flow Visualization And Compression |
| Image Motion Estimation From Motion Smear--A New Computational | model | |
| Image Registration By Sequential Tests Of Hypotheses: The Relationship Between Gaussian And Binomial | model | s |
| Image Restoration In Signal-Dependent Noise Using A Markovian Covariance | model | |
| Image Segmentation And Labeling Using The Polya Urn | model | |
| Image Segmentation Based On The Integration Of Pixel Affinity And Deformable | model | s |
| Image Segmentation With A Propagator Markov Mesh | model | |
| Image Sequence Classification Using A Neural Network Based Active Contour | model | And A Hidden Markov Model |
| Image Sequence Classification Using A Neural Network Based Active Contour | model | And A Hidden Markov Model |
| Image Understanding Environment Service | model | : An Elegant Approach To Providing Class Services, The |
| Image-Sensing | model | And Computer Simulation For Ccd Camera System |
| Implementation Of A | model | For Functional Recognition, An |
| Implementation Of | model | -Based Visual Feedback For Robot Arc Welding Of Thin Sheet Steel, An |
| Implicit Simplicial | model | s For Adaptive Curve Reconstruction |
| Improved Diffuse Reflection | model | s For Computer Vision |
| Improved Line Continuation | model | In Human Visual Perception, An |
| Improved Linked Pyramid For Texture Segmentation Using The Fractal Brownian | model | , An |
| Improved | model | -Based Matching Method Using Footprints, An |
| In Defense Of The Eight-Point | model | |
| Incompletely Determined | model | For Approximating Functions From Experimental Data, An |
| Incorporating Illumination Constraints In Deformable | model | s |
| Incremental Acquisition Of A Three-Dimensional Scene | model | From Images |
| Incremental | model | Building Of Polyhedral Objects Using Structured Light |
| Indexing To 3d | model | Aspects Using 2d Contour Features |
| Information Theoretic Robust Sequential Procedure For Surface | model | Order Selection In Noisy Range Data, An |
| Informed Strategy For Matching | model | s To Images Of Fabricated Objects, An |
| Initialization Of Deformable | model | s From 3d Data |
| Integrated Approach For Scene Understanding Based On Markov Random Field | model | , An |
| Integrated Computational | model | Of Three-Dimensional Vision, An |
| Integrated | model | For Evaluating The Amount Of Data Required For Reliable Recognition, An |
| Integrated Spatio-Temporal | model | And Recursive Algorithm For Image Motion Estimation, An |
| Integrated System For Site | model | Supported Monitoring Of Transportation Activities In Aerial Images, An |
| Integrated Treatment Of Matching And Measurement Errors For Robust | model | -Based Motion Tracking |
| Integration Of Natural Language And Vision Processing--Computational | model | s And Systems, Kluwer, Dordrecht |
| Integration Of Optical Flow And Deformable | model | s With Applications To Human Face Shape And Motion Estimation, The |
| Integration Of Quantitative And Qualitative Techniques For Deformable | model | Fitting From Orthographic, Perspective, And Stereo Projections |
| Integration Of Semantic And Parametric | model | Matching For Image Analysis, The |
| Integration Scheme For Image Segmentation And Labeling Based On Markov Random Field | model | , An |
| Interactive Construction Of 3d | model | s From Panoramic Mosaics |
| Interactive Design Of 3d | model | s With Geometric Constraints |
| Interactive Learning With A Society Of | model | s |
| Interactive Learning With A ``Society Of | model | s'' |
| Interactive | model | -Based Vehicle Tracking |
| Interesting Patterns For | model | -Based Machine Vision |
| Interleaving 3d | model | Feature Prediction And Matching To Support Multi-Sensor Object Recognition |
| Interleaving 3d | model | Feature Prediction And Matching To Support Multi-Sensor Object Recognition |
| International Conference On Vision, Recognition, Action: Neural | model | s Of Mind And Machine, Boston, Ma |
| International Workshop On | model | -Based 3d Image Analysis, Bombay, India |
| Interpolation Method On Triangular Networks For Surface | model | Architectures, An |
| Interpretation Of Industrial Scenes Using Augmented Transition Networks And Production Systems: Procedural Vs. Declarative | model | s |
| Interpretation Of Natural Scenes Using Multi-Parameter Default | model | s And Qualitative Constraints |
| Interpretative | model | Of Overlapped Figures, An |
| Interpretive | model | Of Line Continuation In Human Visual Perception, An |
| Intrinsic Parameter Calibration Procedure For A (High-Distortion) Fish-Eye Lens Camera With Distortion | model | And Accuracy Estimation |
| Intrinsic Parameters For Surface Representation Using Deformable | model | s |
| Invariant Distance Measures For Planar Shapes Based On Complex Autoregressive | model | |
| Invariant Object Recognition: A | model | Evolution Approach |
| Invariant-Based Data | model | For Image Databases |
| Inverting An Illumination | model | For Range And Intensity Maps |
| Irregular Mrf Region Label | model | For Multi-Channel Image Segmentation, An |
| Issues On Feature-Based Editing And Interrogation Of Solid | model | s |
| Iterative | model | -Based Vehicle Tracking |
| Iterative Tin Generation From Digital Elevation | model | s |
| Iterative Tin Generation From Digital Elevation | model | s |
| Iu At The University Of Utah: Building 3-D | model | s From Sensed Data |
| J. 3D Shape: | model | s, Recognition |
| J. 3D Shape: | model | s, recognition |
| J. Formal | model | s |
| J. 3D SHAPE (J.1) | model | s: [1403-1452] (J. |
| J. 3D SHAPE: | model | S; RECOGNITION |
| J. 3D SHAPE: | model | S[4]; RECOGNITION |
| J.1 | model | s |
| J.1. | model | s |
| J.1. | model | s |
| J.1. | model | s, etc. |
| J.3. Shape and | model | s |
| Joint Segmentation And Image Interpretation Using Hidden Markov | model | s |
| K.1. Representations, | model | s |
| K.1. Representations, | model | s, etc. |
| Kalman Filter That Learns Robust | model | s Of Dynamic Phenomena, A |
| Knowledge-Based Image Understanding Using Incomplete And Generic | model | s |
| Large Hierarchical Object Recognition Using Libraries Of Parameterized | model | Sub-Parts |
| Lattice | model | For Cellular (Systolic) Algorithms, A |
| Layered Representation For | model | -Based Filtering And Recognition, A |
| Layered Representation Of Motion Video Using Robust Maximum-Likelihood Estimation Of Mixture | model | s And Mdl Encoding |
| Learned Temporal | model | s Of Image Motion |
| Learning Affine Transformations Of The Plane For | model | -Based Object Recognition |
| Learning Bilinear | model | s For Two-Factor Problems In Vision |
| Learning Dynamical | model | s Using Expectation-Maximisation |
| Learning Flexible | model | s From Image Sequences |
| Learning Generic Prior | model | s For Visual Computation |
| Learning Geometric Hashing Functions For | model | Based Object Recognition |
| Learning Indexing Functions For 3-D | model | -Based Object Recognition |
| Learning Object | model | s From Visual Observation And Background Knowledge |
| Learning Object Recognition | model | s From Images |
| Learning Parameterized | model | s Of Image Motion |
| Learning The Parameters Of A Hidden Markov Random Field Image | model | : A Simple Example |
| Learning Visual | model | s From Shape Contours Using Multiscale Convex/Concave Structure Matching |
| Lighting | model | Aiming At Drive Simulators, A |
| Lightness Determination At Curved Surfaces With Application To Dynamicrange Compression And | model | -Based Coding Of Facial Images |
| Likelihood Calculation For A Class Of Multiscale Stochastic | model | s, With Application To Texture Discrimination |
| Likelihood-Based Texture Discrimination With Multiscale Stochastic | model | s |
| Limitations Of Markov Random Fields As | model | s Of Textured Images Of Real Surfaces |
| Limitations Of Non | model | -Based Recognition Schemes |
| Linear And Incremental Acquisition Of Invariant Shape | model | s From Image Sequences |
| Linear And Incremental Acquisition Of Invariant Shape | model | s From Image Sequences |
| Linear | model | s For Infrared Spectra |
| Linear | model | s In Spatial Discriminant Analysis |
| Local Constraint Integration In A Connectionist | model | Of Stereo Vision |
| Local Feature Extraction For | model | -Based Workpiece Recognition |
| Local Step Edge Estimation: A New Algorithm, Statistical | model | And Performance Evaluation |
| Localization And Homing Using Combinations Of | model | Views |
| Localization And Positioning Using Combinations Of | model | Views |
| Localization Using Combinations Of | model | Views |
| Locally Efficient Path Planning In An Uncertain, Dynamic Environment Using A Probabilistic | model | |
| Logarithmic Image Processing | model | : Connections With Human Brightness Perception And Contrast Estimators, The |
| Low Level Learning For A Mobile Robot: Environment | model | Acquisition |
| Maintaining Multiple Motion | model | Hypotheses Over Many Views To Recover Matching And Structure |
| Managing Within-Class Target Variability In Sar Imagery With A Target Decomposition | model | |
| Map | model | Matching |
| Markov Random Field | model | For Object Matching Under Contextual Constraints, A |
| Markov Random Field | model | Of Subjective Contour Perception, A |
| Markov Random Field | model | -Based Approach To Image Interpretation, A |
| Markov Random Field | model | -Based Approach To Image Interpretation, A |
| Markov Random Field | model | -Based Approach To Unsupervised Texture Segmentation Using Local And Global Spatial Statistics, A |
| Markov Random Field | model | s For Unsupervised Segmentation Of Textured Color Images |
| Markov Random Field | model | s In Computer Vision |
| Markov Random Fields In Functional Neighbors As A Texture | model | : Applications In Texture Classification, The |
| Markovian Image | model | s For Image Labeling And Edge Detection |
| Markovian | model | For Contour Grouping, A |
| Markovian | model | For Contour Grouping, A |
| Massively Parallel | model | Matching-Geometric Hashing On The Connection Machine |
| Matching 3-D | model | s To 2-D Images |
| Matching An Imprecise Object Description With | model | s In A Knowledge Base |
| Matching And Fusing 3d-Polygonal Approximations For | model | -Generation |
| Matching And Recognition Of Deformed Closed Contours Based On Structural Transformation | model | s |
| Matching From 3-D Range | model | s Into 3-D Intensity Scenes |
| Matching Object | model | s To Segments From An Optical Flow Field |
| Matching Oversegmented 3d Images To | model | s Using Association Graphs |
| Matching Sar Imagery With Terrain Feature | model | s |
| Matching Segmented Scenes To | model | s Using Pairwise Relationships Between Features |
| Mathematical | model | For Shape Description Using Minkowski Operators, A |
| Maximum Likelihood Parameter Estimation Of Textures Using A Wold-Decomposition Based | model | |
| Maximum Likelihood Texture Segmentation Using Gaussian Markov Random Field | model | s |
| Maximum Likelihood Thresholding Based On Population Mixture | model | s |
| Maximum-Likelihood Estimation For The Two-Dimensional Discrete Boolean Random Set And Function | model | s Using Multidimensional Linear Samples |
| Maximum-Likelihood Parameter Estimation For Unsupervised Stochastic | model | -Based Image Segmentation |
| Measuring The Quality Of Hypotheses In | model | -Based Recognition |
| Medical Image-Atlas Registration Using Deformable | model | s For Anomaly Detection |
| Method For Tracking The Pose Of Known 3-D Objects Based On An Active Contour | model | , A |
| Methods For Numerical Integration Of High-Dimensional Posterior Densities With Application To Statistical Image | model | s |
| Midline | model | Based Segmentation |
| Minimum Description Length | model | For Recognizing Objects With Variable Appearance (The Vapor Model), A |
| Minimum Description Length | model | For Recognizing Objects With Variable Appearance (The Vapor Model), A |
| Mixed-State Condensation Tracker With Automatic | model | -Switching, A |
| Mixture | model | s For Co-Occurrence And Histogram Data |
| Mixture | model | s For Optical Flow Computation |
| Mobile Robot Localization By Geometric Hashing And | model | -Based Scene Matching |
| Mobile Robot Self-Location Using | model | -Image Feature Correspondence |
| model | Based Analysis Of Industrial Scenes |
| model | Based Approach In Extracting And Generating Human Motion, A |
| model | Based Corner Detection |
| model | Based Detection Of Targets In Fopen Sar Images |
| model | Based Estimation Of Point Correspondences Between Boundaries Undergoing Nonrigid Motion |
| model | Based Extraction Of Articulated Objects In Image Sequences For Gait Analysis |
| model | Based Interpretation Of 3-D Range Data |
| model | Based Interpretation Of Image Sequences From The Heart |
| model | Based Motion Estimation Using Constrained Weighted Least Squares |
| model | Based Perspective Inversion |
| model | Based Pose Estimation Of Articulated And Constrained Objects |
| model | Based Recognition Of Specular Objects Using Sensor Models |
| model | Based Recognition Of Specular Objects Using Sensor Models |
| model | Based Recognition Of Specular Objects Using Sensor Models |
| model | Based Recognition Of Specular Objects Using Sensor Models |
| model | Based Recognition Using Pruned Correspondence Search |
| model | Based Region Segmentation Using Coocurrence Matrices |
| model | Based Segmentation And Detection Of Affine Transformed Shapes In Cluttered Images |
| model | Building Of Three-Dimensional Polyhedral Objects Using 3d Edge Information And Hemispheric Histogram |
| model | Construction And Shape Recognition From Occluding Contours |
| model | Driven 3d Image Interpretation System Applied To Person Detection In Video Images, A |
| model | Driven Edge Detection |
| model | Driven Edge Detection |
| model | Driven Synthesis Of Natural Textures For 3-D Scenes |
| model | Extension And Refinement Using Landmarks |
| model | For An Intelligent Operating System For Executing Image Understanding Tasks On A Reconfigurable Parallel Architecture, A |
| model | For Animating The Motion Of Cloth, A |
| model | For Anisotropic Reflection, A |
| model | For Characterizing The Motion Of The Solid-Liquid Interface In Freezing Solutions, A |
| model | For Compression And Classification Of Face Data Structures, A |
| model | For Describing Surface Shape, A |
| model | For Detecting Phasimetric Sar Effects Coming From Rainy Events, A |
| model | For Local Image Velocity Detection Of Early Visual Processing |
| model | For Rendering High Intensity Lights, A |
| model | For Representating Topological Relationships Between Complex Geometric Features In Spatial Databases, A |
| model | For Simulating The Photographic Development Process On Digital Images, A |
| model | For The Analysis Of Neighbor Finding In Pointer-Based Quadtrees, A |
| model | For The Detection Of Motion Over Time, A |
| model | For The Estimate Of Local Velocity, A |
| model | For The Extraction Of Image Flow, A |
| model | For The Perception Of Curves In Dot Figures: The Role Of Local Salience Of ``Virtual Lines'', A |
| model | For Variability Effects In Handprinting With Implications For The Design Of Handwriting Character Recognition Systems, A |
| model | For Visual Flow-Field Cueing And Self-Motion Estimation, A |
| model | Framework For Correspondence And Description, A |
| model | Generation And Model Matching Of Real Images By A Fuzzy Approach |
| model | Generation And Model Matching Of Real Images By A Fuzzy Approach |
| model | Generation Method For Object Recognition Task By Pictorial Examples, A |
| model | Group Indexing For Recognition |
| model | Indexing And Object Recognition Using 3d Viewpoint Invariance |
| model | Indexing: The Graph-Hashing Approach |
| model | Invocation For Three Dimensional Scene Understanding |
| model | Learning And Recognition Of Nonrigid Objects |
| model | Matching And Extension For Automated 3d Site Modeling |
| model | Matching In Robot Vision By Subgraph Isomorphism |
| model | Of Character Recognition By Humans, A |
| model | Of Figure-Ground Segregation From Kinetic Occlusion, A |
| model | Of Handwriting Process And Its Analysis |
| model | Of Human Associative Processor (Hasp), A |
| model | Of Human Estimation Of 3d Shape From Shading Information Using Zero Crossings, A |
| model | Of Human Symmetry Detection, A |
| model | Of Saliency-Based Visual Attention For Rapid Scene Analysis, A |
| model | Of The Visual Attention To Speed Up Image Analysis, A |
| model | Of Visual Knowledge Representation, A |
| model | Of Visual Masking For Computer Graphics, A |
| model | Of Visual Texture Discrimination Using Multiple Weak Operators And Spatial Averaging, A |
| model | Problem In The Representation Of Digital Image Sequences, A |
| model | Selection And Surface Merging In Reconstruction Algorithms |
| model | Validation For Change Detection |
| model | -Based 2d & 3d Dominant Motion Estimation For Mosaicing And Video Representation |
| model | -Based Aircraft Recognition In Perspective Aerial Imagery |
| model | -Based Analysis Of Hand Posture |
| model | -Based And Context-Based Vision At Sri |
| model | -Based Approach For Estimation Of Two Dimensional Maximum Entropy Power Spectra, A |
| model | -Based Approach For Recognizing Folding Process Of Origami, A |
| model | -Based Approach To Accurate And Consistent 3-D Modeling Of Drainage And Surrounding Terrain |
| model | -Based Approach To Representation And Matching Of Object Shape Patterns, A |
| model | -Based Articulated Hand Motion Tracking For Gesture Recognition |
| model | -Based Automatic Target Recognition (Atr) System For Forwardlooking Groundbased And Airborne Imaging Laser Radars (Lada |
| model | -Based Automatic Target Recognition System For The Ugv/Rsta Ladar |
| model | -Based Automatic Target Recognition System For The Ugv/Rsta Ladar: Status At Demo C |
| model | -Based Boundary Estimation Of Complex Objects Using Hierarchical Active Surface Templates |
| model | -Based Brightness Constraints: On Direct Estimation Of Structure And Motion |
| model | -Based Building Verification In Aerial Photographs |
| model | -Based Calibration Of A Range Camera |
| model | -Based Characterization Of Statistically Optimal Design For Morphological Shape Recognition Algorithms Via The Hit-Or-Miss Transform |
| model | -Based Classification Of Quadric Surfaces |
| model | -Based Cluster Analysis |
| model | -Based Computer Vision, Umi Research Press, Ann Arbor |
| model | -Based Detection And Localization Of Circular Landmarks In Aerial Images |
| model | -Based Edgel Aggregation |
| model | -Based Estimation Of 3d Human Motion With Occlusion Based On Active Multi-Viewpoint Selection |
| model | -Based Estimation Of Facial Expression Parameters From Image Sequences |
| model | -Based Gaze Control |
| model | -Based Image Interpolation By Generalized Splines |
| model | -Based Image Interpretation Using Genetic Algorithms |
| model | -Based Image Matching Using Location, Mit Press, Cambridge |
| model | -Based Inspection System For Component Boards |
| model | -Based Interpretation Of Stereo Imagery Of Textured Surfaces |
| model | -Based Invariants For 3-D Vision |
| model | -Based Invariants For 3d Vision |
| model | -Based Joint Motion And Structure Estimation From Stereo Images |
| model | -Based Learning Of Segmentations |
| model | -Based Localisation And Recognition Of Road Vehicles |
| model | -Based Manipulation System With Skill-Based Execution, A |
| model | -Based Matching By Linear Combinations Ofprototypes |
| model | -Based Matching Of Line Drawings By Linear Combinations Of Prototypes |
| model | -Based Matching Using Skewed Symmetry Information |
| model | -Based Method For Rotation Invariant Texture Classification, A |
| model | -Based Morphology: The Opening Spectrum |
| model | -Based Morphology: Simple And Complex Shapes |
| model | -Based Multi-Stage Compression Of Human Face Images |
| model | -Based Multiresolution Motion Estimation In Noisy Images |
| model | -Based Multiscale Detection Of 3d Vessels |
| model | -Based Neural Network For Target Detection In Sar Images |
| model | -Based Next View Planning By Using Rules-Automatic Feature Prediction And Detection |
| model | -Based Nonrigid Motion Recovery From Sequences Of Range Images Without Point Correspondences |
| model | -Based Object Pose In 25 Lines Of Code |
| model | -Based Object Pose In 25 Lines Of Code |
| model | -Based Object Pose In 25 Lines Of Code |
| model | -Based Object Recognition By Geometric Hashing |
| model | -Based Object Recognition In Dense-Range Images-A Review |
| model | -Based Object Recognition Using A Large-Field Passive Tactile Sensor |
| model | -Based Object Recognition Using Probabilistic Logic And Maximum Entropy |
| model | -Based Object Recognition Using Range Images By Combining Morphological Feature Extraction And Geometric Hashing |
| model | -Based Object Tracking In Monocular Image Sequences Of Road Traffic Scenes |
| model | -Based Object Tracking In Traffic Scenes |
| model | -Based Obstacle Detection From Image Sequences |
| model | -Based Partial Shape Recognition Using Contour Curvature And Affine Transformation |
| model | -Based Planning Of Optimal Sensor Placements For Inspection |
| model | -Based Pose Estimation Using Genetic Algorithm |
| model | -Based Prediction-Verification Scheme For Real-Time Inspection |
| model | -Based Programming And Control Of Robot Manipulators |
| model | -Based Programming For Parallel Image Processing |
| model | -Based Recognition And Localization From Sparse Range Data |
| model | -Based Recognition And Localization From Sparse Range Or Tactile Data |
| model | -Based Recognition And Location Of Local Patterns In Polygonal Contours Via Hypothesis Accumulation |
| model | -Based Recognition And Positioning Of Polyhedra Using Intensity-Guided Range Sensing And Interpretation In 3-D Space |
| model | -Based Recognition And Range Imaging For A Guided Vehicle |
| model | -Based Recognition In Robot Vision |
| model | -Based Recognition Of 3d Curves From One View |
| model | -Based Recognition Of 3d Objects From One View |
| model | -Based Recognition Of 3d Objects From One View |
| model | -Based Recognition Of Objects In Complex Scenes |
| model | -Based Recognition Of Objects In Complex Scenes |
| model | -Based Recognition Of Objects In Complex Scenes |
| model | -Based Recognition Of Planar Objects Using Geometric Invariants |
| model | -Based Recognition Using 3d Shape Alone |
| model | -Based Recognition Using 3d Structure From Motion |
| model | -Based Sar Atr System |
| model | -Based Segmentation And Estimation Of 3d Surfaces From Two Or More Intensity Images Using Markov Random Fields |
| model | -Based Segmentation Of Grey-Tone Images |
| model | -Based Shape From Contour And Point Patterns |
| model | -Based Shape Recognition Using Recursive Mathematical Morphology |
| model | -Based Silhouette Recognition |
| model | -Based Strategies For High-Level Robot Vision |
| model | -Based Strategy Planning For Recognizing Partially Occluded Parts |
| model | -Based Synthetic Viewgeneration From A Monocular Video Sequence |
| model | -Based Target Recognition In Foliage Penetrating Sar Images |
| model | -Based Target Recognition In Pulsed Ladar Imagery |
| model | -Based Tracking For Navigation And Segmentation |
| model | -Based Tracking Of Moving Object |
| model | -Based Tracking Of Self-Occluding Articulated Objects |
| model | -Based Vehicle Detection And Classification Using Orthographic Approximations |
| model | -Based Versus Knowledge-Guided Representation Of Non-Rigid Objects: A Case Study |
| model | -Based Vision (Boston, Ma, November 19-20 |
| model | -Based Vision Development And Tools (Boston, Ma, November 14-15 |
| model | -Based Visual Feedback Control For A Hand-Eye Coordinated Robotic System |
| model | -Bsaed 3d Object Recognition Using Bayesian Indexing |
| model | -Directed Mobile Robot Navigation |
| model | -Directed Object Recognition On The Connection Machine |
| model | -Driven Active Visual Tracking |
| model | -Fitting Approach To Cluster Validation With Application To Stochastic Model-Based Image Segmentation, A |
| model | -Fitting Approach To Cluster Validation With Application To Stochastic Model-Based Image Segmentation, A |
| model | -Group Indexing For Recognition |
| model | -Guided Attributed String Matching By Split-And-Merge For Shape Recognition |
| model | -Guided Segmentation Using Quadtrees |
| model | -Independent Recovery Of Object Orientations |
| model | -Supported Exploitation As A Framework For Image Understanding |
| model | -Supported Exploitation Of Sar Imagery |
| model | ing Image Curves Using Invariant 3-D Object Curve Models-A Path To 3-D Recognition And Shape Estimation From Image Contours |
| model | ing Sensor Detectability And Reliability For Model-Based Vision |
| model | ing Sensors And Applying Sensor Model To Automatic Generation Of Object Recognition Program |
| model | ing Soil: Realtime Dynamic Models For Soil Slippage And Manipulation |
| model | ing Textured Images Using Generalized Long Correlation Models |
| model | ling Grey Level Surfaces Using Three-Dimensional Point Distribution Models |
| model | s For Map Building And Navigation |
| model | s For Neighbor Dependency In Planar Point Pattens |
| model | s Of Errors And Mistakes In Machine Perception. Part 1. First Results For Computer Vision Range Measurements |
| model | s Of Statistical Visual Motion Estimation |
| Modified Dichromatic Reflection | model | For An Analysis Of Interreflection, A |
| Morphing Of 2-D | model | s By Fresnel Transform |
| Morphological | model | For Automatic Edge Detection: Comparison With Ad-Hoc Hysteresis Thresholding, A |
| Motion And Structure Estimation Using Long Sequence Motion | model | s |
| Motion | model | -Based Boundary Extraction And A Real-Time Implementation |
| Motion Prediction Of Moving Objects Based On Autoregressive | model | |
| Motion Regularization For | model | -Based Head Tracking |
| Motion Tracking Of Deformable Objects By Active Contour | model | s Using Multiscale Dynamic Programming |
| Motion- | model | -Based Boundary Extraction |
| Movable Jaw | model | For The Human Face, A |
| Moving Object Tracking By Optimizing Active | model | s |
| Moving Object Tracking Using Active | model | s |
| Mrf | model | -Based Algorithms For Image Segmentation |
| Mrf | model | -Based Method For Unsupervised Textured Image Segmentation, An |
| Mrf | model | -Based Segmentation Of Range Images |
| Mrf-Based Motion Segmentation Exploiting A 2d Motion | model | Robust Estimation |
| Multi-Image Focus Of Attention For Rapid Site | model | Construction |
| Multi-Image Matching For A General Motion Stereo Camera | model | |
| Multi-Resolution Search With Active Shape | model | s |
| Multi-Resolution Texture Analysis Of Self-Similar Textures Using Hierarchical Gaussian Markov Random Field | model | s |
| Multi-Scale And Hierarchical Description Using Energy Controlled Active Balloon | model | |
| Multi-Temperature Annealing: A New Approach For The Energy-Minimization Of Hierarchical Markov Random Field | model | s |
| Multidimensional | model | s Of Perception And Cognition, Erlbaum, Hillsdale |
| Multidimensional Morphable | model | s |
| Multidimensional Morphable | model | s: A Framework For Representing And Matching Object Classes |
| Multidimensional State-Space | model | Kalman Filtering With Applications To Image Restoration |
| Multifrequency Channel Decompositions Of Images And Wavelet | model | s |
| Multipass Hierarchical Stereo Matching For Generation Of Digital Terrain | model | s From Aerial Images |
| Multiple Channel | model | For Perception Of Optical Flow, A |
| Multiple Resolution Image Segmentation Using Four Qp Supports Of 2d Autoregressive | model | |
| Multiple Stochastic | model | s For Recognition Of Occluded Targets In Sar Images |
| Multiple-View | model | -Based Inspection Of Quadric Objects |
| Multiresolution 3d Facial | model | Compression |
| Multiresolution Gauss-Markov Random Field | model | s For Texture Segmentation |
| Multiresolution | model | Development For Overlapping Trees Via Canonical Correlation Analysis |
| Multiresolution | model | s For Topographic Surface Description |
| Multiresolution Rotation Invariant Simultaneous Auto Regressive | model | For Texture Analysis |
| Multiresolution Stochastic Hybrid Shape | model | s With Fractal Priors |
| Multiscale Analysis | model | Applied To Natural Surfaces, A |
| Multiscale Markov Random Field | model | s For Parallel Image Classification |
| Multiscale Random Field | model | For Bayesian Image Segmentation, A |
| Multiscale Stochastic Image | model | For Automated Inspection, A |
| Multiscale Veto | model | : A Two-Stage Analog Network For Edge Detection And Image Reconstruction, The |
| Multispectral And Color Image | model | ing And Synthesis Using Random Field Models |
| Multispectral Random Field | model | s For Synthesis And Analysis Of Color Images |
| Multistage, Optimal Active Contour | model | , A |
| Multistrategy Learning Approach For Target | model | Recognition, Acquisition, And Refinement, A |
| Muscle | model | For Animating Three-Dimensional Facial Expression, A |
| Neocognitron: A Neural | model | For A Mechanism Of Visual Pattern Recognition |
| Neural | model | Of Contour Integration In The Primary Visual Cortex, A |
| Neural Network | model | For The Development Of Simple And Complex Cell Receptive Fields Within Cortical Maps Of Orientation And Ocular Dominance, A |
| Neural Network | model | For The Developmental Process Of Hypercomplex Cells, A |
| Neural Network | model | s |
| Neural Network | model | s For Illusory Contour Perception |
| Neural Network | model | s For Optical Computing (Los Angels, Ca, January 12-14 |
| Neural Network-Based Stochastic Active Contour | model | (Nns-Snake) For Contour Finding Of Distinct Features, A |
| Neuroanimator: Fast Neural Network Emolation And Control Of Physics-Based | model | s |
| New Algorithms For Fixed And Elastic Geometric Transformation | model | s |
| New Approach For Subset 2-D Ar | model | Identification For Describing Textures, A |
| New Approach To Surface Reconstruction: The Coupled Depth/Slope | model | , A |
| New Camera Projection | model | And Its Application In Reprojection, A |
| New Combinatorial | model | For Boundary Representations, A |
| New Image Contrast Enhancement Technique Based On A Contrast Discrimination | model | , A |
| New Mathematical Human Vision | model | With An Autonomous Image Observing Mechanism And Its Application To Multiple Motion Detection, A |
| New | model | -Based Approach For Industrial Visual Inspection, A |
| New | model | -Based Stereo Approach For 3d Surface Reconstruction Using Contours On The Surface Pattern, A |
| New Mrf | model | For Robust Estimate Of Occlusion And Motion Vector Fields, A |
| New Probabilistic | model | For Chinese Character Recognition |
| New Results Using An Integrated | model | And Recursive Algorithm For Image Motion Estimation |
| New Spatial Interaction | model | For Color Texture, A |
| New Stereo Vision | model | Based Upon The Binocular Fusion Concept, A |
| New Stochastic | model | -Based Image Segmentation Technique For Mr Image, A |
| New Thresholding Algorithm Based On All-Pole | model | , A |
| Noise | model | s For Linear Feature Detection In Sar Images |
| Non-Homogeneous Mrf | model | For Multi-Resolution Bayesian Estimation, A |
| Non-Linear Generalization Of Point Distribution | model | s Using Polynomial Regression |
| Non-Markov Gibbs Texture | model | With Multiple Pairwise Pixel Interactions |
| Nonlinear Diffusion | model | For Discontinuous Disparity And Half-Occlusions In Stereo, A |
| Nonlinear Phase Portrait | model | s For Oriented Textures |
| Nonlinear Shape Restoration By Transformation | model | s |
| Nonrigid Motion Analysis Based On Dynamic Refinement Of Finite Element | model | s |
| Note On ``Building Skeleton | model | s Via 3-D Medial Surface/Axis Thinning Algorithms'', A |
| Novel Neural Network | model | s For Computing Homothetic Invariances: An Image Algebra Notation |
| Numerical | model | For Large Deformation, A |
| Object Detection Using A Multiscale Probability | model | |
| Object Detection Using | model | Based Prediction And Motion Parallax |
| Object Locating Using A Single | model | View |
| Object Location Strategy Using Shape And Grey-Level | model | s, An |
| Object | model | For Image Recognition, An |
| Object | model | s From Contour Sequences |
| Object Recognition Using A Feature Search Strategy Generated From A 3-D | model | |
| Object Recognition Using Invariant Object Boundary Representations And Neural Network | model | s |
| Object Recognition Using Oriented | model | Points |
| Object Recognition Using Oriented | model | Points |
| Object Representation And Recognition Using Mathematical Morphology | model | |
| Object Segmentation And Binding Within A Biologically-Based Neural Network | model | Of Depth-From-Occlusion |
| Object-Oriented | model | For Brightness Perception, An |
| Obtaining A Solid | model | From Optical Serial Sections |
| On 3d | model | Construction By Fusing Heterogeneous Sensor Data |
| On Active Contour | model | s And Balloons |
| On Designing A Visual System (Towards A Gibsonian Computational | model | Of Vision) |
| On Edge And Line Linking With Connectionist | model | s |
| On Grasp Choice, Grasp | model | s, And The Design Of Hands For Manufacturing Tasks |
| On Ill-Posed Anisotropic Diffusion | model | s |
| On Merging Hidden Markov | model | s With Deformable Templates |
| On Parameter Estimation In Deformable | model | s |
| On Terrain | model | Acquisition By A Point Robot Amidst Polyhedral Obstacles |
| On The Appropriateness Of Camera | model | s |
| On The Congruence Of Noisy Images To Line Segment | model | s |
| On The Detection Of Parallel Curves: | model | s And Representations |
| On The Logics Of Image Interpretation: | model | -Construction In A Formal Knowledge-Representation Framework |
| On The Maximum Likelihood Potential Estimates For Gibbs Random Field Image | model | s |
| On The Relation Between Second-Order Statistics, Connectivity Analysis, And Percolation | model | s In Digital Textures |
| On The Sequential Determination Of | model | Misfit |
| On The Verification Of Hypothesized Matches In | model | -Based Recognition |
| On The Verification Of Hypothesized Matches In | model | -Based Recognition |
| On Using Cad | model | s To Compute The Pose Of Curved 3d Objects |
| On Using Cad | model | s To Compute The Pose Of Curved 3d Objects |
| On-Line Estimation Of Visual-Motor | model | s Using Active Vision |
| Optical Flow Estimation Using Wavelet Motion | model | |
| Optical Linear Feature Detection Based On | model | Pose |
| Optical- | model | -Based Analysis Of Consecutive Images |
| Optimal Geometric | model | Matching Under Full 3d Perspective |
| Optimal Matching Of Planar | model | s In 3d Scenes |
| Optimal Recovery Of Depth From Defocused Images Using An Mrf | model | |
| Optimization | model | s For Shape Matching Of Nonconvex Polygons |
| Optimization Of 2-Dimensional | model | Matching |
| Optimized Edge Detection Using A Priori | model | s |
| Outdoor Landmark Recognition Using Segmentation, Fractal | model | And Neural Network |
| P-Field: A Computational | model | For Binocular Motion Processing, The |
| Parallel Algorithm For Color Texture Generation Using The Random Neural Network | model | |
| Parallel Architecture For Syntactic Pattern Recognition Based On Logic Program Execution | model | , A |
| Parallel Coordination Of Image Operators: | model | , Algorithm, And Performance |
| Parallel Image Analysis|Tools And | model | s, World Scientific |
| Parallel Image Processing Language Based On Computational | model | s, A |
| Parallel Image Segmentation Using Modified Hopfield | model | |
| Parallel Map Recognition Based On Multi-Layer Partitioned Blackboard | model | |
| Parallel Solutions To Geometric Problems In The Scan | model | Of Computation |
| Parallel Sorting In Two-Dimensional Vlsi | model | s Of Computation |
| Parameter Estimation And Restoration Of Noisy Images Using Gibbs Distributions In Hidden Markov | model | s |
| Parameter Estimation In Markov Random Field Contextual | model | s Using Geometric Models Of Objects |
| Parameter Estimation In Markov Random Field Contextual | model | s Using Geometric Models Of Objects |
| Parameter Estimation In Mrf Line Process | model | s |
| Parameter Reduction For The Compound Gauss-Markov | model | |
| Parametric Attributed Scattering Center | model | For Sar Automatic Target Recognition, A |
| Parametric Deformable | model | To Fit Unstructured 3d Data, A |
| Parametric | model | Fitting: From Inlier Characterization To Outlier Detection |
| Parametrically Deformable Contour | model | s |
| Part | model | s |
| Particle System | model | For Combining Edge Information From Multiple Segmentation Modules, A |
| Perception Of A Dotted Line In Noise: A | model | Of Good Continuation And Some Experimental Results, The |
| Perceptual Constancy And The Multi-Layer Visual | model | : Position And Size Invariance |
| Perceptual | model | s And The Filtering Of High-Contrast Achromatic Images |
| Perceptually Motivated Three-Component Image | model | --Part I: Description Of The Model, A |
| Perceptually Motivated Three-Component Image | model | --Part I: Description Of The Model, A |
| Perceptually Plausible | model | For Global Symmetry Detection, A |
| Performance Assessment Of | model | -Based Tracking |
| Physical | model | -Based Analysis Of Heterogeneous Environments Using Sonar-Endura Method, A |
| Physically Based | model | s With Rigid And Deformable Components |
| Physically Based Simulation | model | For Acoustic Sensor Robot Navigation |
| Physically-Based Active Shape | model | s: Initialization And Optimization |
| Picture Segmentation With Introducing An Anisotropic Preliminary Step To An Mrf | model | With Cellular Neural Networks |
| Piecewise Linear Approximation Based On A Statistical | model | , A |
| Planar Shape Classification Using Hidden Markov | model | |
| Planning Views For The Incremental Construction Of Body | model | s |
| Plant | model | s Faithful To Botanical Structure And Development |
| Pose Determination Of Parameterized Object | model | s From A Monocular Image |
| Pose Estimation Of Human Face Using Synthesized | model | Images |
| Pose Refinement Of Active | model | s Using Forces In 3d |
| Pose Refinement: Application To | model | Extension And Sensitivity To Camera Parameters |
| Precise Matching Of 3-D Target | model | s To Multisensor Data |
| Pretopological Texture | model | , A Multiparametric Image Model, And A Hierarchical Classification Method For The Analysis Of Digitized Images, A |
| Pretopological Texture | model | , A Multiparametric Image Model, And A Hierarchical Classification Method For The Analysis Of Digitized Images, A |
| Probabilistic Analysis Of The Application Of The Cross Ratio To | model | Based Vision |
| Probabilistic Analysis Of The Application Of The Cross Ratio To | model | Based Vision: Misclassification |
| Probabilistic Learning Of Three-Dimensional Object | model | s |
| Probabilistic | model | s Of Digital Region Maps Based On Markov Ranodm Fields With Short-And Long-Range Interaction |
| Probabilistic | model | s Of Observed Features And Aspects With Application To Weighted Aspect Graphs |
| Probabilistic Reasoning | model | s For Face Recognition |
| Proceedings Of The 1988 Connectionist | model | s Summer School, Morgan Kaufmann, San Mateo |
| Progressive Coding Of 3-D Graphic | model | s |
| Pulse And Staircase Edge | model | s |
| Pulse And Staircase | model | s For Detecting Edges At Multiple Resolution |
| Pump It Up: Computer Animation Of A Biomechanically Based | model | Of Muscle Using The Finite Element Method |
| Quadtree-Structured Linear Prediction | model | s For Image Sequence Processing |
| Qualitative And Quantitative Matching Of Solid | model | s And Images Of 3d Objects |
| Quantitative Analysis Of The Viewpoint Consistency Contraint In | model | -Based Vision |
| Quantitative And Qualitative Measures For The Evaluation Of The Superquadric | model | s |
| Quasi-Invariants Of The Thermophysical | model | |
| Radius: Automating Image Analysis Through | model | -Supported Exploitation |
| Radius: Site | model | Content |
| Random | model | For Analyzing Region Quadtrees, A |
| Random Neural Network | model | For Texture Generation, The |
| Random Perturbation | model | s & Performance Characterization In Computer Vision |
| Random Perturbation | model | s For Boundary Extraction Sequence |
| Random-Field | model | -Based Algorithm For Anomalous Complex Image Pixel Detection, A |
| Rapid Object Recognition From A Large | model | Base Using Prediction Hierarchies |
| Ratioquadrics: An Alternative | model | For Superquadrics |
| Ray Tracing Complex | model | s Containing Surface Tessellations |
| Real Time Hierarchical | model | For Optic Flow Determination Via Spatiotemporal Frequency Channels, A |
| Real-Time American Sign Language Recognition From Video Using Hidden Markov | model | s |
| Real-Time | model | Based Geometric Reasoning For Vision-Guided Navigation |
| Real-Time | model | ing Of Image Sequences Based On Hidden Markov Mesh Random Field Models |
| Realistic Digitization | model | Of Straight Lines, A |
| Realistic Lighting | model | For Computer Animators, A |
| Reasoning | model | Based On An Extended Dempster-Shafer Theory, A |
| Recognition By Linear Combinations Of | model | s |
| Recognition In 2d Images Of 3d Objects From Large | model | Bases Using Prediction Hierarchies |
| Recognition Of Facial Expressions Using Muscle-Based Feature | model | s |
| Recognition Of Facial Images With Low Resolution Using A Hopfield Memory | model | |
| Recognition Of Geons By Parametric Deformable Contour | model | s |
| Recognition Of Handwritten Word: First And Second Order Hidden Markov | model | Based Approach |
| Recognition Of Head Gestures Using Hidden Markov | model | s |
| Recognition Of Moving Light Displays Using Hidden Markov | model | s |
| Recognition Of Object Families Using Parameterized | model | s |
| Recognizing Corners By Fitting Parametric | model | s |
| Recognizing Facial Expressions In Image Sequences Using Local Parameterized | model | s Of Image Motion |
| Recognizing Human Action In Time-Sequential Images Using Hidden Markov | model | |
| Recognizing Shape Features In Solid | model | s |
| Recompiling A Geometrical | model | Into An Interpretation Tree For Object Recognition In Bin-Packing Tasks |
| Reconstructing 3-D | model | s With Algebraic Curved Surfaces From Three-View Drawings |
| Reconstructing Polyhedral | model | s Of Architectural Scenes From Photographs |
| Reconstruction Of 3d | model | s From Specular Motion Using Circular Lights |
| Recovering And Characterizing Image Features Using An Efficient | model | Based Approach |
| Recovering The Shape Of Polyhedra Using Line-Drawing Analysis And Complex Reflectance | model | s |
| Recovering The Shape Of Polyhedra Using Line-Drawing Analysis And Complex Reflectance | model | s |
| Recovery Of 3-D Closed Surfaces Using Progressive Shell | model | s |
| Recovery Of 3-D Shape Using Hybrid Reflectance | model | |
| Recovery Of Global Nonrigid Motion--A | model | Based Approach Without Point Correspondences |
| Recovery Of Parametric | model | s From Range Images: The Case For Superquadrics With Global Deformations |
| Rectilinear Structure Extraction In Textured Images With An Irregular Graph-Based Markov Random Field | model | |
| Recursive Image Sequence Segmentation By Hierarchical | model | s |
| Reflectance Analysis For 3d Computer Graphics | model | Generation |
| Reflectance | model | For Computer Graphics, A |
| Region Based Image Segmentation Using Stochastic Image | model | s |
| Region-Based Strategies For Active Contour | model | s |
| Region-Based Tracking Using Affine Motion | model | s In Long Image Sequences |
| Registering Multiple Cartographic | model | s With The Hierarchical Mixture Of Experts Algorithm |
| Registration And Integration Of Multiple Object Views For 3d | model | Construction |
| Registration And Integration Of Multiple Range Images For 3-D | model | Construction |
| Registration Of Cad- | model | s To Images By Iterative Inverse Perspective Matching |
| Registration Of Multiple Range Views For Automatic 3-D | model | Building |
| Regularization | model | For Stereo Vision With Controlled Continuity, A |
| Reinforcement Learning For Integrating Context With Clutter | model | s For Target Detection |
| Relational | model | Construction And 3d Object Recognition From Single 2d Monochromatic Image |
| Relative Affine Structure: Canonical | model | For 3d From 2d Geometry And Applications |
| Relative Position From | model | Indexing |
| Relaxation Method For Image Segmentation Using A Spatially Dependent Stochastic | model | , A |
| Relaxation Using | model | s From Quantum Mechanics |
| Reliability Analysis Of Parameter Estimation In Linear | model | s With Applications To Mensuration Problems In Computer Vision |
| Reminds: A Relational | model | -Based Integrated Image And Text Database Management System |
| Rendering Csg | model | s With A Zz-Buffer |
| Representation And Incremental Construction Of A Three-Dimensional Scene | model | |
| Representative Patterns For | model | -Based Matching |
| Representing Workspace And | model | Knowledge For A Robot With Mobile Sensors |
| Results Using Random Field | model | s For The Segmentation Of Color Images |
| Review Of Biologically Motivated Space-Variant Data Reduction | model | s For Robotic Vision, A |
| Rgf Pandemonium: A Low-Level Representational | model | For Images, The |
| Robot Vision System Based On Two-Dimensional Object-Oriented | model | s, A |
| Robot Vision Using A Feature Search Strategy Generated From A 3-D Object | model | |
| Robust Active Contour | model | For Natural Scene Contour Extraction With Automatic Thresholding, A |
| Robust Active Contour | model | With Insensitive Parameters, A |
| Robust And Adaptive Segmentation Of Noisy Images Using Gibbs Random Field | model | s |
| Robust And Efficient Transform Domain Video Sequence Analysis: An Approach From The Generalized Color Ratio | model | |
| Robust And Stable Road | model | , A |
| Robust Color Segmentation Using The Dichromatic Reflection | model | |
| Robust Discontinuity-Preserving | model | For Estimating Optical Flow |
| Robust Image | model | s And Their Applications, In P.W. Hawkes, Ed. |
| Robust | model | -Based Motion Tracking Through The Integration Of Search And Estimation |
| Robust Multiresolution Estimation Of Parametric Motion | model | s |
| Robust Object-Specified Active Contour | model | For Tracking Smoothly Deformable Line-Features And Its Application To Outdoor Moving Image Processing, A |
| Robust Parallel Computation Of 2d | model | -Based Recognition |
| Robust Parallel Implementation Of 2d | model | -Based Recognition, A |
| Robust Segmentation Of Noisy Images Using A Neural Network | model | |
| Robust Tracking Of Stochastic Deformable | model | s In Long Image Sequences |
| Robust Variable Order Facet | model | For Image Data, A |
| Robustness Of | model | -Based Recognition In Cluttered Images |
| Role Of | model | -Based Segmentation In The Recovery Of Volumetric Parts From Range Data, The |
| Rotation And Gray Scale Transform Invariant Texture Identification Using Wavelet Decomposition And Hidden Markov | model | |
| Rotation And Gray-Scale Transform-Invariant Texture Classification Using Spiral Resampling, Subband Decomposition, And Hidden Markov | model | |
| Saliencies And Symmetries: Toward 3d Object Recognition From Large | model | Databases |
| Scale Space Tracking And Deformable Sheet | model | s For Computational Vision |
| Scene Analysis Using Appearance-Based | model | s And Relational Indexing |
| Script-Based Facial Gesture And Speech Animation Using A Nurbs Based Face | model | |
| Sculptured Surfaces In Solid | model | s: Issues And Alternative Approaches |
| Second Directional Derivative Zero-Crossing Detector Using The Cubic Facet | model | |
| Seeing Behind The Scene: Analysis Of Photometric Properties Of Occluding Edges By The Reversed Projection Blurring | model | |
| Seeing Behind The Scene: Analysis Of Photometric Properties Of Occluding Edges By The Reversed Projection Blurring | model | |
| Segmentation Of Binary Images Using Third-Order Markov Mesh | model | s |
| Segmentation Of Natural Images Based On Multiresolution Pyramids Linking Of The Parameters Of An Autoregressive Rotation Invariant | model | . Application To Leather Defects Detection |
| Segmentation Of Range Images As The Search For Geometric Parametric | model | s |
| Selected Papers On | model | -Based Vision (Ms 72), Spie, Bellingham |
| Selecting Neighbors In Random Field | model | s For Color Images |
| Selective Attention As Sequential Behavior: | model | ing Eye Movements With An Augmented Hidden Markov Model |
| Self-Organised Parameter Estimation And Segmentation Of Mrf | model | -Based Texture Images |
| Semantic Video Object Segmentation And Tracking Using Mathematical Morphology And Perspective Motion | model | |
| Semi-Autonomous Evolution Of Object | model | s For Adaptive Object Recognition |
| Semi-Iterative Inference With Hierarchical | model | s |
| Sensor | model | s And Multi-Sensor Integration |
| Sensor | model | s And Multisensor Integration |
| Sensors And Algorithms For The Construction Of Digital 3-D Colour | model | s Of Real Objects |
| Set | model | s And Boolean Operations For Solids And Assemblies |
| Set-Theoretic Volume | model | Evaluation And Picture-Plane Coherence |
| Several Key Problems In | model | -Based Image Sequence Compresion By Using Interframe Aus Correlation |
| Shading | model | For Atmospheric Scattering Considering Luminous Intensity Distribution Of Light Sources, A |
| Shading | model | s For Point And Linear Sources |
| Shape And | model | From Specular Motion |
| Shape And Motion Engine For Parameterized | model | s, A |
| Shape From Shading Using The Facet | model | |
| Shape From Shading With A Generalized Reflectance Map | model | |
| Shape From Shading With A Linear Triangular Element Surface | model | |
| Shape From Texture Using Markov Random Field | model | s And Stereo Windows |
| Shape Matching By Correlating Relational | model | s |
| Shape | model | s From Image Sequences |
| Shape Recognition By A Scale-Invariant | model | |
| Shape Representation Using A Generalized Potential Field | model | |
| Shape Transformation | model | s And Their Applications In Pattern Recognition |
| Sign Language Recognition Using | model | -Based Tracking And A 3d Hopfield Neural Network |
| Signal Plus Noise | model | s In Shape Classification |
| Signal-To-Symbol Conversion For Structural Object Recognition Using Hidden Markov | model | s |
| Simd-Parallel | model | Of Hierarchical, Role-Based Pattern Recognition, With Application To The Optical Interpretation Of Natural Language, A |
| Simple | model | Of Ocean Waves, A |
| Simple Parallel Hierarchical And Relaxation Algorithms For Segmenting Textured Images Based On Noncausal Markovian Random Field | model | s |
| Simplified Method Of Data Form Conversion From Contour Line Surface | model | To Mesh Surface Model, A |
| Simplified Method Of Data Form Conversion From Contour Line Surface | model | To Mesh Surface Model, A |
| Simulating The Grass Fire Transform Using An Active Contour | model | |
| Simulation Of Human Retinal Function With The Gaussian Derivative | model | |
| Simultaneous Optimal Segmentation And | model | Estimation Of Nonstationary Noisy Images |
| Simultaneous Registration Of Multiple Range Views For Use In Reverse Engineering Of Cad | model | s |
| Single Input Three Output | model | Based Approach To Color Texture Generation, A |
| Single Plane | model | Extension Using Projective Transformations |
| Single Plane | model | Extension Using Projective Transformations And Data Fusion |
| Site | model | Acquisition And Extension From Aerial Images |
| Site | model | Acquisition Under The Umass Radius Project |
| Site | model | Based Exploitation Of Tesar Imagery |
| Site | model | Construction Using Geometric Constrained Optimization |
| Site | model | Supported Monitoring Of Aerial Images |
| Site- | model | Construction Component Of The Radius Testbed System, The |
| Site- | model | -Based Change Detection And Image Registration |
| Site- | model | -Based Monitoring Of Aerial Images |
| Small Leakage | model | For Diffusion Smoothing Of Image Data, A |
| Smoothing Of Polyhedral | model | s |
| Snake Pedals: Geometric | model | s With Physics-Based Control |
| Snakes: Active Contour | model | s |
| Snakes: Active Contour | model | s |
| So Dynamic Deformation For Building Of 3-D | model | s |
| Solid | model | Construction Using Meshes And Volumes |
| Some Invariant Linear Methods In Photogrammetry And | model | -Matching |
| Space And Time Bounds On Indexing 3-D | model | s From 2-D Images |
| Space Deformation | model | s Survey |
| Space Efficient 3d | model | Indexing |
| Space Efficient 3d | model | Indexing |
| Spatial Classification Using Fuzzy Membership | model | s |
| Spatial Contours For Vision And Cad | model | Matching |
| Spatial Reasoning For The Automatic Recognition Of Machinable Features In Solid | model | s |
| Spatial Reasoning, Sensor Repositioning And Disambiguation In 3d | model | Based Recognition |
| Spatially Varying Illumination: A Computational | model | Of Converging And Diverging Sources |
| Spatio-Chromatic | model | For Colour Image Processing |
| Spatiotemporal | model | -Based Optic Flow Estimation |
| Spatiotemporal Motion | model | For Video Summarization, A |
| Speechreading Using Probabilistic | model | s |
| Spline | model | s For Boundary Detection/Description: Formulation And Performance Evaluation |
| Spotting Dynamic Hand Gestures In Video Image Sequences Using Hidden Markov | model | s |
| Spring Force Formulation For Elastically Deformable | model | s, A |
| Stabilized Solution For 3-D | model | Parameters |
| Statistical | model | To Describe Invariants Extracted From A 3-D Quadric Surface Patch And Its Applications In Region-Based Recognition, Icpr, 668-672. 1062014. F. Shevlin, Analysis Of Orientation Problems Using Plucker Lines, A |
| Statistical | model | -Based Algorithms For Image Analysis |
| Statistical | model | -Based Estimation And Tracking Of Non-Rigid Motion |
| Statistical | model | -Based Segmentation Of Deformable Motion |
| Statistical | model | s Of Face Images | Improving Specificity |
| Statistical | model | s Of Partial Volume Effect |
| Statistics Of The Morphological Pattern-Spectrum Moments For A Random Grain | model | |
| Stereo Grouping For | model | -Based Recognition |
| Stereo | model | Based On Mechanisms Of Human Perception, A |
| Stereo | model | Using Log And Gabor Filters, A |
| Stereoscopic Recovery Of Egomotion And Structure: | model | s, Uniqueness And Experimental Results |
| Stochastic Completion Fields: A Neural | model | Of Illusory Contour Shape And Salience |
| Stochastic Completion Fields: A Neural | model | Of Illusory Contour Shape And Salience |
| Stochastic | model | Based Technique For Texture Segmentation, A |
| Stochastic | model | For Boundary Detection |
| Stochastic | model | Utilizing Spectral And Spatial Characteristics |
| Stochastic | model | s For Recognition Of Articulated Objects |
| Structural | model | Of Curve Deformation By Discontinuous Transformations, A |
| Structure Of The Aura And Co-Occurrence Matrices For The Gibbs Texture | model | |
| Studies Of 3-D | model | Textures |
| Subpixel Estimation Of Normal Displacements Along Contours Using Mrf | model | s |
| Supervised Segmentation By Pairwise Interactions: Do Gibbs | model | s Learn What We Expect? |
| Supervised Texture Classification Using A Probabilistic Neural Network And Constraint Satisfaction | model | |
| Surface Identification Using The Dichromatic Reflection | model | |
| Surface Reconstruction Using Deformable | model | s With Interior And Boundary Constraints |
| Surface Reconstruction Using Deformable | model | s With Interior And Boundary Constraints |
| Symmetry-Seeking | model | s And 3d Object Reconstruction |
| Symmetry-Seeking | model | s For 3d Object Reconstruction |
| Synthesis And Estimation Of Random Fields Using Long-Correlation | model | s |
| Synthesis Of Virtual Views Using Non-Lambertian Reflectivity | model | s And Stereo Matching |
| System For | model | -Based Object Recognition In Perspective Aerial Images, A |
| System For | model | -Based Recognition Of Articulated Objects, A |
| Systematic Way For Region-Based Image Segmentation Based On Markov Random Field | model | , A |
| Tactile Recognition And Localization Using Object | model | s: The Case Of Polyhedra On A Plane |
| Temporal Multi-Scale | model | s For Flow And Acceleration |
| Temporal Multi-Scale | model | s For Image Motion Estimation |
| Temporal Pattern Discrimination In The Cat'S Retinal Cells And Markov System | model | s |
| Terrain | model | s And Sar Simulation |
| Terrain Simulation Using A | model | Of Stream Erosion |
| Texture Analysis By A Perceptual | model | |
| Texture Analysis Using Partially Ordered Markov | model | s |
| Texture And Intensity Edge Detection With Random Field | model | s |
| Texture Boundary Detection Based On The Long Correlation | model | |
| Texture Classification And Segmentation Using Multiresolution Simultaneous Autoregressive | model | s |
| Texture Classification Using Noncausal Hidden Markov | model | s |
| Texture Classification Using Noncausal Markov | model | s |
| Texture Classification Using Wavelet Decomposition With Markov Random Field | model | s |
| Texture Coding Using A Wold Decomposition | model | |
| Texture Coding Using A Wold Decomposition | model | |
| Texture Mapping 3d | model | s Of Real World Scenes |
| Texture | model | s And Image Measures For Segmentation |
| Texture | model | s And Image Measures For Texture Discrimination |
| Texture Recognition Using A Non-Parametric Multi-Scale Statistical | model | |
| Texture Roughness Analysis And Synthesis Via Extented Self-Similar (Ess) | model | |
| Texture Segmentation By Minimizing Vector-Valued Energy Functionals: The Coupled-Membrane | model | |
| Texture Segmentation Method By Using Two-Dimensional Ar | model | And Kullback Information |
| Texture Synthesis And Compression Using Gaussian-Markov Random Field | model | s |
| Texture Synthesis And Unsupervised Recognition With A Nonparametric Multiscale Markov Random Field | model | |
| Texture Synthesis Using 2-D Noncausal Autoregressive | model | s |
| Texture-Based Segmentation Using Markov Random Field | model | s And Approximate Bayesian Estimators Based On Trees |
| Textured Image Segmentation Using Autoregressive | model | And Artificial Neural Network |
| Theory And | model | Of The Human Global Analysis Of Visual Structure; Part Ii: The Space-Time And Visual Value Segment |
| Third Order | model | For Non Homogeneous Natural Textures |
| Three Dimensional Object Recognition Using Oriented | model | Points |
| Three-Dimensional | model | Construction From Multiview Range Images: Survey With New Results |
| Time Recursive Motion Estimation Using Dynamical | model | s For Motion Prediction |
| Time Series | model | s For Multiresolution Images |
| Time-To-Collision From First-Order | model | s Of The Motion Field |
| Topological Investigations Of Object | model | s |
| Toward A Data | model | For Integrated Pictorial Databases |
| Toward A General 3-D Matching Engine: Multiple | model | s, Complex Scenes, And Efficient Data Filtering |
| Toward A | model | -Based Bayesian Theory For Estimating And Recognizing Parameterized 3-D Objects Using Two Or More Images Taken From Different Positions |
| Toward The Unification Of Three Visual Laws And Two Visual | model | s In Brightness Perception |
| Towards A Computational Theory Of | model | Based Vision And Perception |
| Towards A Method For Parametrizing | model | s For Early Vision Using Psychophysical Data |
| Towards Autonomy In Active Contour | model | s |
| Towards | model | -Based Recognition Of Human Movements In Image Sequences |
| Towards The Automatic Reconstruction Of A 3-D Animated | model | For The Coronary Tree From Biplane Angiograms |
| Tracking And Recognising Hand Gestures Using Statistical Shape | model | s |
| Tracking And Recognizing Rigid And Non-Rigid Facial Motions Using Local Parametric | model | s Of Image Motion |
| Tracking Deformable Objects In The Plane Using An Active Contour | model | |
| Tracking Human Body Motion Based On A Stick Figure | model | |
| Tracking Humans In Action: A 3d | model | -Based Approach |
| Tracking Medical 3d Data With A Deformable Parametric | model | |
| Tracking Medical 3d Data With A Parametric Deformable | model | |
| Tracking Moving Contours Using Energy-Minimizing Elastic Contour | model | s |
| Tracking Moving Contours Using Energy-Minimizing Elastic Contour | model | s |
| Trainable Context | model | For Multiscale Segmentation |
| Trajectory-Based Computational | model | For Optical Flow Estimation, A |
| Transformation Of A General 3d Facial | model | To An Actual Scene Face |
| Transputer Implementation Of A Multiple Agent | model | For Object Tracking |
| Trichromatic Approximation For Computer Graphics Illumination | model | s |
| Triplet-Based Object Recognition Using Synthetic And Real Probability | model | s |
| Tunable Distance Measure For Coloured Solid | model | s, A |
| Tunable Facet | model | Likelihood Generators For Boundary Pixel Detection |
| Two Dimensional Processor Array With A Reconfigurable Bus System Is At Least As Powerful As Crcw | model | |
| Two Plane Camera Calibration: A Unified | model | |
| Two-Component | model | Of Texture For Analysis And Synthesis, A |
| Two-Dimensional Bin-Packing | model | Of Preemptive, Fifo Storage Allocation, A |
| Two-Dimensional Discrete Gaussian Markov Random Field | model | s For Image Processing |
| Two-Dimensional Interpolation By Generalized Spline Filters Based On Partial Differential Equation Image | model | s |
| Two-Dimensional Linear Prediction | model | -Based Decorrelation Method |
| Two-Dimensional Linear Prediction | model | s - Part I: Spectral Factorization And Realization |
| Two-Dimensional Object Recognition Using Multiresolution | model | s |
| Two-Dimensional Spectrum Estimation Using Noncausal Autoregressive | model | s |
| Two-Stage Dynamic Deformation For Construction Of 3d | model | s |
| Umass Progress In 3d Building | model | Acquisition |
| Uncalibrated Relief Reconstruction And | model | Alignment From Binocular Disparities |
| Uncertainty Propagation In | model | -Based Recognition |
| Uncertainty Update And Dynamic Search Window For | model | -Based Object Recognition |
| Understanding Assembly Illustrations In An Assembly Manual Without Any | model | Of Mechanical Parts |
| Unexpected Spatial Patterns In Exponential Family Auto | model | s |
| Unified 3d | model | s For Multisensor Image Synthesis |
| Unified Factorization Algorithm For Points, Line Segments And Planes With Uncertainty | model | s, A |
| Unified Mixture Framework For Motion Segmentation: Incorporating Spatial Coherence And Estimating The Number Of | model | s, A |
| Unified Structural-Stochastic | model | For Texture Analysis And Synthesis, A |
| Unsupervised Bayesian | model | -Learning With Application To Textured And Polynomial Image Segmentation |
| Unsupervised | model | -Based Object Recognition By Parameter Estimation Of Hierarchical Mixtures |
| Unsupervised Parallel Image Classificiation Using A Hierarchical Markovian | model | |
| Unsupervised Segmentation Of Gray Level Markov | model | Textures With Hierarchical Self Organizing Maps |
| Unsupervised Segmentation Of Textured Color Images Using Markov Random Field | model | s |
| Unsupervised Texture Based Image Segmentation By Simulated Annealing Using Markov Random Field And Potts | model | s |
| Unsupervised Texture Segmentation Using Markov Random Field | model | s |
| Unsupervised Texture Segmentation Using Multichannel Decomposition And Hidden Markov | model | s |
| Use Of Boolean | model | For Texture Analysis Of Grey Images, The |
| Use Of Geometric And Grey-Level | model | s For Industrial Inspection, The |
| Use Of Hybrid | model | s To Recover Cardiac Wall Motion In Tagged Mr Images, The |
| Use Of | model | s In Studying Macrophage Cell Images And The Underlying Biological Processes |
| Use Of | model | s In The Recognition Of Patterns Of Cellular Movement |
| Use Of Multiple Difference-Of-Gaussian Filters To Verify Geometric | model | s |
| Use Of Numerical Relational Distance And Symbolic Differences For Organizing | model | s And For Matching, The |
| Use Of The Facet | model | And The Topographic Primal Sketch In Image Analysis, The |
| Using 2d Active Contour | model | s For 3d Reconstruction From Serial Sections |
| Using A Color Reflection | model | To Separate Highlights From Object Color |
| Using A Color Reflection | model | To Separate Highlights From Object Color |
| Using A Feature-Based | model | For Automatic Determination Of Assembly Handling Codes |
| Using A Spectral Reflectance | model | For The Illumination-Invariant Recognition Of Local Image Structure |
| Using Aspect Graphs To Control The Recovery And Tracking Of Deformable | model | s |
| Using Automatically Constructed View-Independent Relational | model | In 3d Object Recognition |
| Using Differential Constraints To Generate A 3d Face | model | From Stereo |
| Using Generic Geometric And Physical | model | s For Representing Solids |
| Using Generic Geometric | model | s For Intelligent Shape Extraction |
| Using Generic Geometric | model | s For Intelligent Shape Extraction |
| Using Grey-Level | model | s To Improve Active Shape Model Search |
| Using Grey-Level | model | s To Improve Active Shape Model Search |
| Using Local Planar Geometric Invariants To Match And | model | Images Of Line Segments |
| Using | model | s Of Feature Perception In Distortion Measure Guidance |
| Using | model | s To Improve Stereo Reconstruction |
| Using Occlusion | model | s To Evaluate Scale-Space Processors |
| Using Optimal Algorithms To Test | model | Assumptions In Computer Vision |
| Using Radius Site | model | s Without The Rcde |
| Using Spatial Sorting And Ranking In | model | -Based Object Recognition |
| Using Surface | model | To Correct And Fit Disparity Data In Stereo Vision |
| Using The Fourier Slice Theorem For Representation Of Object Views And | model | s With Application To Face Recognition |
| Using Visualisation As A Tool For | model | -Based Recognition |
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| Velcro Surfaces: Fast Initialization Of Deformable | model | s |
| Verification Of 3-D Parametric | model | s In 2-D Image Data |
| Verifying And Combining Different Visual Cues Into A 3d | model | |
| Verifying | model | -Based Alignments In The Presence Of Uncertainty |
| Vertex Space Analysis And Its Application To | model | Based Object Recognition |
| Video Augmentation By Image-Based Rendering Under The Perspective Camera | model | |
| Video-Based Handshape Recognition Using A Handshape Structure | model | In Real Time |
| Virtual Lateral Inhibition In Parallel Activation | model | s Of Associative Memory |
| Virtues Of Optimizing Edge Line Appearance | model | s |
| Vision-Based Construction Of Cad | model | s From Range Images |
| Visual Dynamic Scene Understanding Exploiting High-Level Spatio-Temporal | model | s |
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| Visual Learning Of Object | model | s From Appearance |
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| Visual | model | Weighted Cosine Transform For Image Compression And Quality Assessment, A |
| Visual | model | s Of Plants Interacting With Their Environment |
| Visual Motion Estimation And Prediction: A Probabilistic Network | model | For Temporal Coherence |
| Visual Science And Engineering- | model | s And Applications, Dekker |
| Visual Surface Reconstruction And Boundary Detection Using Stochastic | model | s |
| Vlsi Implementation Of A Neural Network | model | |
| Volterra Type | model | For Image Processing, A |
| Volumetric Method For Building Complex | model | s From Range Images, A |
| Volumetric Segmentation Of Range Images Of 3d Objects Using Superquadric | model | s |
| Volumetric Shape Description Of Range Data Using ``Blobby | model | '' |
| Voronoi Diagrams Of Set-Theoretic Solid | model | s |
| Wavelet-Based Multiresolution Statistical | model | For Texture, A |
| Wavelet-Based Multiresolution Stochastic Image | model | s |
| What Connectionist | model | s Learn: Learning And Representation In Connectionist Networks |
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| What'S In A Mental | model | ? On Conceptual Models In Reasoning With Spatial Descriptions |
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| Workshop On Sensorimotor Coordination: Amphibians, | model | s, And Comparative Studies, Sedona, Az |
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| `` | model | '': A Poplog Package To Support Model-Based Vision |
| `` | model | '': A Poplog Package To Support Model-Based Vision |
1514 for model
| _ | modeling | _ |
| 3-D Corridor Scene | modeling | From A Single View Under Natural Lighting Conditions |
| 3-D Face | modeling | And Its Applications |
| 3-D Motion Estimation And Object Tracking Using B-Spline Curve | modeling | |
| 3-D Motion From Image Sequences: | modeling | , Understanding, And Prediction |
| 3d | modeling | And Tracking Of Human Lip Motions |
| A.1. Texture: | modeling | and synthesis |
| Accurate Solid | modeling | Using Polyhedral Approximations |
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| Acm/Ieee Symposium On Solid | modeling | , Montreal, Quebec, Canada |
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| Analysis And | modeling | Of Digitized Straight-Line Segments |
| Analysis And | modeling | Of Neural Systems, Kluwer, Norwell |
| Analysis Of Geometric | modeling | In Database Systems, An |
| Anatomically Based | modeling | |
| Anatomy-Based | modeling | Of The Human Musculature |
| Application Of Eight Valued Logic To | modeling | Of Three-Dimensional Objects |
| Ascender System: Automated Site | modeling | From Multiple Aerial Images, The |
| Automated Techniques For Road Network | modeling | |
| Automatic Recognition And Representation Of Shape-Based Features In A Geometric | modeling | System |
| Background | modeling | For Segmentation Of Video-Rate Stereo Sequences |
| Bayesian Computer Vision System For | modeling | Human Interactions, A |
| Bayesian | modeling | Of Uncertainty In Low-Level Vision |
| Bayesian | modeling | Of Uncertainty In Low-Level Vision, Kluwer |
| Bayesian | modeling | Of Video Editing And Structure: Semantic Features For Video Summarization And Browsing |
| Beyond Self-Similarity For Landscale | modeling | |
| Bivariate Autoregressive | modeling | Technique For Analysis And Classification Of Planar Shapes, A |
| Blaubeuren Ii, Theory And Practice Of Geometric | modeling | , Tubingen, Germany |
| Boolean Operations In Solid | modeling | : Boundary Evaluation And Merging Algorithms |
| Can We Get There From Here?: Current Challenges In Cloth Design, | modeling | And Animation |
| Cellular Automata Machines-A New Environment For | modeling | , Mit Press, Cambridge |
| Characteristic View | modeling | Of Curved-Surface Solids |
| Closed-Form Solutions For Physically Based Shape | modeling | And Recognition |
| Closed-Form Solutions For Physically-Based Shape | modeling | And Recognition |
| Color Reflectance | modeling | Using A Polychromatic Laser Range Sensor |
| Colorimetric | modeling | Of Binary Color Printers |
| Comparative Study Of Two Useful Discrete-Valued Random Fields For The Statistical | modeling | Of Images, A |
| Computational Geometry-Curve And Surface | modeling | , Academic Press |
| Computer Graphics And Geometric | modeling | For Engineers, Wiley |
| Computer Graphics And Geometric | modeling | Using Beta-Splines, Springer |
| Computer Graphics Techniques For | modeling | Cloth |
| Computer | modeling | Of Surfaces With Arbitrary Shapes |
| Computer | modeling | , Analysis And Synthesis Of Dressed Humans |
| Connectionist | modeling | And Brain Function-The Developing Interface, Mit Press, Cambridge |
| Consensus Surfaces For | modeling | 3d Objects From Multiple Range Images |
| Consensus Surfaces For | modeling | 3d Objects From Multiple Range Images |
| Consistent Calculations For Solids | modeling | |
| Consistent Site | modeling | : Imposing Hard Constraints On Deformable Models |
| Constraint-Based | modeling | |
| Continouous Terrain | modeling | From Image Sequences With Applications To Change Detection |
| Database Support For Solid | modeling | |
| Deformable Contours: | modeling | And Extraction |
| Deformable Contours: | modeling | And Extraction |
| Deformable Models With Parameter Functions: Application To Heart-Wall | modeling | |
| Deformable Object | modeling | Using The Time-Dependent Finite Element Method |
| Design And Evaluation Of A Semi-Automated Site | modeling | System |
| Dimension-Independent | modeling | With Simplicial Complexes |
| Discrete Event | modeling | Of Visually Guided Behaviors |
| Displacement Constraints For Interactive | modeling | And Animation Of Articulated Structures |
| Dynamic Imagery | modeling | And Motion Estimation Using Weak Formulations |
| Dynamic World | modeling | For An Intelligent Mobile Robot |
| Dynamic World | modeling | Using Vertical Line Stereo |
| Edge-Based Data Structures For Solid | modeling | In Curved-Surface Environments |
| Efficient Binary Space Partitions For Hidden-Surface Removal And Solid | modeling | |
| Efficient Nonlinear Finite Element | modeling | Of Nonrigid Objects Via Optimization Of Mesh Models |
| Elevation | modeling | And Motion Tracking Using A Binocular Camera System With Seven Degrees Of Freedom |
| Environmental | modeling | And Recognition For An Autonomous Land Vehicle |
| Error | modeling | In Stereo Navigation |
| Euler Formulas And Geometric | modeling | |
| Evolutionary Fronts For Topology-Independent Shape | modeling | And Recovery |
| Experiments With Monocular Visual Tracking And Environment | modeling | |
| Extended Free-Form Deformation: A Sculpturing Tool For 3d Geometric | modeling | |
| Extended Rounding Operation For | modeling | Solids With Free-Form Surfaces, An |
| Fast Level Set Based Algorithm For Topology-Independent Shape | modeling | , A |
| Fast, Accurate And Consistant | modeling | Of Drainage And Surrounding Terrain |
| Feature-Based 3d Surface | modeling | By Improved Constrained Triangular Meshes |
| Feature-Based | modeling | For Mechanical Design |
| Filters, Random Fields And Maximum Entropy (Frame): Towards A Unified Theory For Texture | modeling | |
| Fractal Landscape | modeling | Using Octrees |
| Fractal | modeling | Of Natural Terrain: Analysis And Surface Reconstruction With Range Data |
| Fractal Surface Reconstruction For | modeling | Natural Terrain |
| Fractal-Based Analysis Of 3d Natural Surface Shapes And Their Application To Terrain | modeling | |
| Frame: Filters, Random Fields And Maximum Entropy--Towards A Unified Theory For Texture | modeling | |
| Framework For | modeling | Appearance Change In Image Sequences, A |
| Free Space | modeling | And Geometric Motion Planning Under Location Uncertainty |
| Free-Form Solid | modeling | Using Deformations |
| Free-Form Solid | modeling | With Trimmed Surface Patches |
| Function Representation In Geometric | modeling | : Concepts, Implementation, And Applications |
| G. LIGHTNESS AND COLOR; TEXTURE (G.1) Lightness, polarization, and color: [1022-1076] (G. |
| Generative | modeling | For Computer Graphics And Cad, Academic Press |
| Geographic Information Systems And Cartographic | modeling | , Prentice-Hall, Englewood Cliffs |
| Geometer: A System For | modeling | And Algebraic Manipulation |
| Geometric And Solid | modeling | : An Introduction, Morgan Kaufmann, San Mateo |
| Geometric | modeling | And Computer Vision |
| Geometric | modeling | And Recognition Of Elongated Regions In Aerial Images |
| Geometric | modeling | For Cad Applications (Ifip Working Group, Troy, Ny, May 12-16, 1988), North-Holland |
| Geometric | modeling | For Product Engineering (Ifip Working Conference, Rensselaerville, Ny, September 18-22, 1988), North-Holland |
| Geometric | modeling | From Scattered 3-D Range Data |
| Geometric | modeling | In The Analysis Of Trivariate Functions |
| Geometric | modeling | Of Curves Using Weighted Linear And Circular Segments |
| Geometric | modeling | Of Solid Objects By Using A Face Adjacency Graph Representation |
| Geometric | modeling | , Springer |
| Geometric | modeling | , Wiley |
| Geometric | modeling | , Wiley |
| Geometric | modeling | : Algorithms And New Tools (Albany, Ny, 1985) |
| Geometric | modeling | : Methods And Applications, Springer |
| Geometrical | modeling | From Multiple Stereo Views |
| Geometry Toolbox For Graphics And | modeling | , A.K. Peters, Wellesley, The |
| Gesture | modeling | For Architectural Design, C&G 20 |
| Gibbs Random Fields, Cooccurrences, And Texture | modeling | |
| Ground Target | modeling | And Validation Conference, Houghton, Mi |
| Guaranteeing The Topology Of An Implicit Surface Polygonization For Interactive | modeling | |
| Guest Ed., [Special Section On] Shape And Motion | modeling | |
| Guest Eds., Solid | modeling | (Papers From The Acm/Ieee Second Symposium On Solid Modeling And Applications, Montreal, Quebec, Canada, May 19-21, 1993) |
| Guest Eds., Solid | modeling | (Papers From The Acm/Ieee Second Symposium On Solid Modeling And Applications, Montreal, Quebec, Canada, May 19-21, 1993) |
| Guest Eds., Special Issue On Physical | modeling | In Computer Vision |
| Guest Eds., Special Issue On Physics-Based | modeling | And Reasoning In Computer Vision |
| Guest Eds., Special Issue: Geometric | modeling | And Invariants For Computer Vision (Europe-China Workshop, Xian, China, May 1998) |
| H.2. Texture: | modeling | , etc. |
| Handbook Of Solid | modeling | , Mcgraw Hill |
| Hidden Markov Models Vs. Syntactic | modeling | In Object Recognition |
| Hierarchical Markov | modeling | Approach For The Segmentation And Tracking Of Deformable Shapes, A |
| Hierarchical Mrf | modeling | For Sonar Picture Segmentation |
| Highly Robust Estimator Through Partially Likelihood Function | modeling | And Its Application In Computer Vision, A |
| Image Analysis For 3d | modeling | , Rendering, And Virtual Reality Generation |
| Image Analysis | modeling | System For Natural Scenes, An |
| Image | modeling | (San Jose, Ca, February 3-4 |
| Image | modeling | Using Inverse Filtering Criteria With Application To Texture Images |
| Image | modeling | Using Inverse Filtering Criteria With Application To Textures |
| Image- | modeling | Gibbs Priors |
| Implicit Formulation For Precise Contact | modeling | Between Flexible Solids, An |
| Including Interaction In An Automated | modeling | System |
| Integral Approach To Free-Form Object | modeling | , An |
| Integral Approach To Free-Formed Object | modeling | , An |
| Intelligent Robots|Sensing, | modeling | , And Planning, World Scientific |
| Interactive Multi-Resolution | modeling | On Arbitrary Meshes |
| Interfaces For Data Transfer Between Solid | modeling | Systems |
| Interfacing Solid | modeling | To Cad And Cam: Data Structures And Algorithms For Decomposing A Solid |
| International Conference On Recent Advances In 3-D Digital Imaging And | modeling | ,Ottawa, Ontario, Canada |
| Introduction To Solid | modeling | , An |
| Introduction To Solid | modeling | , Computer Science Press, Rockville, An |
| Introduction To Solid | modeling | , Computer Science Press, Rockville, An |
| Introduction To The Use Of Splines In Computer Graphics And Geometric | modeling | , Morgan Kaufmann, Los Altos, An |
| Investigation Into The Use Of Physical | modeling | For The Prediction Of Various Feature Types Visible From Different Viewpoints, An |
| Isprs Workshop On 3d Reconstruction And | modeling | Of Topographic Objects, Stuttgart, Germany |
| J.3. Representation and | modeling | |
| Knowledge-Driven Ultrasonic Three-Dimensional Organ | modeling | |
| Lattice Parameter Autoregressive | modeling | Of Two-Dimensional Fields --Part I: The Quarter-Plane Case |
| Layout2: A Production System | modeling | Visual Perspective Information |
| Levels Of | modeling | Of Mechanisms Of Visually Guided Behavior |
| Light-Source | modeling | Using Pyramidal Light Maps |
| Local Symmetry | modeling | In Multi-Dimensional Images |
| Localized Intersections Computation For Solid | modeling | With Straight Homogeneous Generalized Cylinders |
| Markov Random Field | modeling | In Computer Vision, Springer |
| Markov/Gibbs Texture | modeling | : Aura Matrices And Temperature Effects |
| Matching And Clustering: Two Steps Toward Automatic Object | modeling | In Computer Vision |
| Mathematical | modeling | And Estimation Techniques In Computer Vision (San Diego, Ca, July 22-23 |
| Mdl-Based Segmentation And Motion | modeling | In A Long Image Sequence Of Scene With Multiple Independently Moving Objects |
| Measuring And | modeling | Anisotropic Reflection |
| Mechanism Of Automatic 3d Object | modeling | , A |
| Methods In Neuronal | modeling | -From Synapses To Networks, Mit Press, Cambridge |
| Minimax Entropy Principle And Its Application To Texture | modeling | |
| Minimum Description Length Principle In Coding And | modeling | , The |
| Mobile Robot Navigation And Scene | modeling | Using [A] Stereo Fish-Eye Lens System |
| Model Matching And Extension For Automated 3d Site | modeling | |
| Model-Based Approach To Accurate And Consistent 3-D | modeling | Of Drainage And Surrounding Terrain |
| modeling | 3d Deformable Object With The Active Pyramid |
| modeling | An Object Of Revolution By Zooming |
| modeling | And Animating Turbulent Gaseous Phenomena Using Spectral Synthesis |
| modeling | And Animation Of Facial Expressions Based On B-Splines |
| modeling | And Classifying Symmetries Using A Multiscale Opponent Color Representation |
| modeling | And Estimation For A Class Of Multiresolution Random Fields |
| modeling | And Identifying 3-D Color Texture |
| modeling | And Prediction Of Human Behavior |
| modeling | And Rendering Of Metallic Patinas |
| modeling | And Rendering Waves: Wave-Tracing Using Beta-Splines And Reflective And Refractive Texture Mapping |
| modeling | And Segmentation Of Noisy And Textured Images Using Gibbs Random Fields |
| modeling | And Simulation Of Vertebrate Primary Visual System: Basic Network |
| modeling | And Synthesis Of Images Of 3d Textured Surfaces |
| modeling | Clutter And Context For Target Detection In Infrared Images |
| modeling | Cortical Sulci With Active Ribbons |
| modeling | Digital Straight Lines |
| modeling | Dynamic Surfaces With Octrees |
| modeling | Edges At Subpixel Accuracy Using The Local Energy Approach |
| modeling | Generic Polyhedral Objects With Constraints |
| modeling | Geometric Structure And Illumination Variation Of A Scene From Real Images |
| modeling | Image Center And Feature Trajectory Under Changing Focal Length |
| modeling | Image Curves Using Invariant 3-D Object Curve Models-A Path To 3-D Recognition And Shape Estimation From Image Contours |
| modeling | In Computer Graphics, Springer |
| modeling | Inelastic Deformation: Viscoelasticity, Plasticity, Fracture |
| modeling | Light Reflection For Computer Color Vision |
| modeling | Noise For A Better Simplification Of Skeletons |
| modeling | Object Recognition As A Markov Decision Process |
| modeling | Of A Neural Network System For Active Visual Perception And Recognition |
| modeling | Of Atmospheric Disturbances In Meteorological Pictures |
| modeling | Of Some Spatio-Temporal Aspects Of Visual Information Processing In The Retinal Neural Network |
| modeling | Of Two-Dimensional Random Fields By Parametric Cepstrum |
| modeling | Pigmented Materials For Realistic Image Synthesis |
| modeling | Planar Configurations |
| modeling | Polyhedra By Constraints |
| modeling | Sensor Confidence For Sensor Integration Tasks |
| modeling | Sensor Detectability And Reliability For Model-Based Vision |
| modeling | Sensor Detectability With The Vantage Geometric/Sensor Modeler |
| modeling | Sensor Detectability With Vantage Geometric/Sensor Modeler |
| modeling | Sensors And Applying Sensor Model To Automatic Generation Of Object Recognition Program |
| modeling | Sensors: Toward Automatic Generation Of Object Recognition Program |
| modeling | Soil: Realtime Dynamic Models For Soil Slippage And Manipulation |
| modeling | Spaces For Toleranced Objects |
| modeling | Surfaces Of Arbitrary Topology Using Manifolds |
| modeling | Surfaces Of Arbitrary Topology With Dynamic Particles |
| modeling | System Based On Dynamic Constraints, A |
| modeling | Textured Images Using Generalized Long Correlation Models |
| modeling | The Displaced Frame Difference As An Alpha-Stable Distribution |
| modeling | The Effect Of The Atmosphere On Light |
| modeling | The Ground Plane Transformation For Real-Time Obstacle Detection |
| modeling | The Interaction Of Light Between Diffuse Surfaces |
| modeling | The Mighty Maple |
| modeling | The Motion Of A Hot, Turbulent Gas |
| modeling | The Rim Appearance |
| modeling | User Subjectivity In Image Libraries |
| modeling | Visual Attention Via Selective Tuning |
| modeling | Water For Computer Graphics |
| modeling | Waves And Surf |
| modeling | With Cubic A-Patches |
| modeling | With Triangular B-Splines |
| modeling | , Analysis And Visualization Of Nonrigid Object Motion |
| modeling | , Animating, And Rendering Complex Scenes Using Volumetric Textures |
| More Powerful Solid | modeling | Through Ray Representations |
| Morphological | modeling | Of Images By Sequential Random Functions |
| Morphology-Based Symbolic Image | modeling | , Multi-Scale Nonlinear Smoothing, And Pattern Spectrum |
| Motion Analysis And | modeling | Of Epicardial Surfaces From Point And Line Correspondences |
| Motion Field | modeling | For Video Sequences |
| Motion | modeling | And Prediction |
| Mpeg4 Face | modeling | Using Fiducial Points |
| Multi-Resolution Surface | modeling | From Multiple Range Views |
| Multi-Scale | modeling | Of Textures |
| Multichannel Techniques In Color Image Enhancement And | modeling | |
| Multiresolution Hybrid Neuro-Markovian Image | modeling | And Segmentation, A |
| Multiresolution Surface | modeling | Based On Hierarchical Triangulation |
| Multispectral And Color Image | modeling | And Synthesis Using Random Field Models |
| Neural And Brain | modeling | , Academic Press, Boston |
| Neural Computation Of Pattern Motion- | modeling | Stages Of Motion Analysis In The Primate Visual Cortex, Mit Press, Cambridge |
| Neural Computation Of Pattern Motion- | modeling | Stages Of Motion Analysis In The Primate Visual Cortex, Mit Press, Cambridge |
| Next Best Viewpoint (Nbv) Planning For Active Object | modeling | Based On A Learning-By-Showing Approach |
| Nonlinear Image Processing: | modeling | And Fast Algorithm For Regularization With Edge Detection |
| Nonstationary Composite | modeling | Of Images |
| Note On The | modeling | Space Of Euler Operators, A |
| Object | modeling | From Multiple Images Using Genetic Algorithms |
| Object Shape And Reflectance | modeling | From Observation |
| Octrees: A Data Structure For Solid-Object | modeling | |
| One-Eyed Stereo: A General Approach To | modeling | 3-D Scene Geometry |
| One-Eyed Stereo: A General Approach To | modeling | 3-D Scene Geometry |
| One-Eyed Stereo: A General Approach To | modeling | 3-D Scene Geometry |
| Optimal Algorithms: Tools For Mathematical | modeling | |
| Overlapping Tree Approach To Multiscale Stochastic | modeling | And Estimation, An |
| Overview Of Analytic Solid | modeling | , An |
| Overview Of The Sri Cartographic | modeling | Environment |
| Parameterized | modeling | And Recognition Of Activities |
| Partial Differential Equations In Image Analysis: Continuous | modeling | , Discrete Processing |
| Pattern Clustering Based On Noise | modeling | In Wavelet Space |
| Performance | modeling | And Adaptive Target Detection |
| Periodicity, Directionality, And Randomness: Wold Features For Image | modeling | And Retrieval |
| Physical | modeling | And Combination Of Range And Intensity Edge Data |
| Physically Based | modeling | And Control Of Turning |
| Physically Based | modeling | For Vision And Graphics |
| Physically-Based | modeling | For Computer Graphics-A Structured Approach, Academic Press |
| Polyhedral Face Reconstruction And | modeling | From A Single Image With Structured Light |
| Potential-Based | modeling | Of Three-Dimensional Workspace For Obstacle Avoidance |
| Primitive-Based Shape | modeling | And Recognition |
| Principal Component Analysis With Missing Data And Its Application To Object | modeling | |
| Principal Component Analysis With Missing Data And Its Application To Polyhedral Object | modeling | |
| Probabilistic | modeling | Of Local Appearance And Spatial Relationships For Object Recognition |
| Probe Spatial Data | modeling | And Query Processing In An Image Database Application |
| Proceedings Of The Workshop On Physics-Based | modeling | In Computer Vision, Cambridge, Ma |
| Proceedings, Third Symposium On Solid | modeling | And Applications, Salt Lake City, Ut |
| Proper Scale For | modeling | Visual Data |
| Quadtrees, Octrees, Hyperoctrees: A Unified Analytical Approach To Tree Data Structures Used In Graphics, Geometric | modeling | , And Image Processing |
| Qualitative Reasoning And | modeling | For Robust Target Tracking And Recognition From A Mobile Platform |
| Real-Time | modeling | Of Image Sequences Based On Hidden Markov Mesh Random Field Models |
| Realistic | modeling | For Facial Animation |
| Realizing The Boolean Operations In Solid | modeling | Technique Via Directed Loops |
| Recent Progress In | modeling | Neural Mechanisms Of Form And Color Vision |
| Recognition Of Shapes By Statistical | modeling | Of Centroidal Profile |
| Recursive Fitting-And-Splitting Algorithm For 3-D Object | modeling | Using Superquadrics, A |
| Reducing Structure From Motion: A General Framework For Dynamic Vision. Part 1: | modeling | . Part 2: Implementation And Experimental Assessment, T-Pami 20, 1998 |
| Reflectance | modeling | For Object Recognition And Detection In Outdoor Scenes |
| Registration Of Stereo Based 3d Maps For Object | modeling | : A Stochastic Yet Intelligent Solution |
| Regularization-Based 3-D Object | modeling | From Multiple Range Images |
| Reinterpreting Physically-Motivated | modeling | |
| Relationship Between Maximum Likelihood And Autoregressive | modeling | In Multidimensional Power Spectrum Estimation |
| Road Map To Solid | modeling | , A |
| Robust Disparity Estimation In Terrain | modeling | For Spacecraft Navigation |
| Sculpting: An Interactive Volumetric | modeling | Technique |
| Second International Conference On Integrating Geographic Information Systems And Environmental | modeling | , Breckenridge, Co |
| Second Working Conference On | modeling | In Computer Graphics-Methods And Applications (Ifip Tc5/Wg 5.10), Genova, Italy |
| Selective Attention As Sequential Behavior: | modeling | Eye Movements With An Augmented Hidden Markov Model |
| Selective Scene | modeling | |
| Sensor | modeling | , Markov Random Fields, And Robust Localization For Recognizing Partially Occluded Objects |
| Sensor | modeling | , Probabilistic Hypothesis Generation, And Robust Localization For Object Recognition |
| Shape | modeling | With Front Propagation: A Level Set Approach |
| Siam Conference On Geometric | modeling | And Robotics (Albany, Ny |
| Signal And Image Processing Systems Performance Evaluation, Simulation, And | modeling | (Orlando, Fl, April 4-5 |
| Significance Of | modeling | In Computer Diagnosis Of Pulmonary Vasculature, The |
| Simple Constrained Deformations For Geometric | modeling | And Interactive Design |
| Singularity Theoretical | modeling | And Animation Of Garment Wrinkle Formation Processes |
| Site | modeling | Using Ifsar And Electro-Optical Images |
| Sketch-First | modeling | Of Buildings From Video Imagery |
| Solid | modeling | And Beyond |
| Solid | modeling | And System Design |
| Solid | modeling | By Computers: From Theory To Applications, Plenum Press |
| Solid | modeling | For Architectural Design Using Octpaths |
| Solid | modeling | System For Robot Action Planning, A |
| Solid | modeling | -A State-Of-The-Art Report, North-Holland |
| Special Issue On The | modeling | Of Natural Phenomena |
| Special Section On 3-D | modeling | In Image Analysis And Synthesis |
| State Of The Art In Computer Graphics-Visualization And | modeling | , Springer |
| State-Of-The-Art In Computer Graphics: Visualization And | modeling | , Springer |
| Stereo | modeling | System: A Geometric Modeling System For Modeling Object Instance And Class |
| Stereo | modeling | System: A Geometric Modeling System For Modeling Object Instance And Class |
| Stereo | modeling | System: A Geometric Modeling System For Modeling Object Instance And Class |
| Stereo Vision For Planetary Rovers: Stochastic | modeling | To Near Real-Time Implementation |
| Stochastic | modeling | And Estimation Of Multispectral Image Data |
| Stochastic Performance | modeling | And Evaluation Of Obstacle Detectability With Imaging Range Sensors |
| Stochastic Performance | modeling | And Evaluation Of Obstacle Detectability With Imaging Range Sensors |
| Stochastic Skeleton | modeling | Of Objects |
| Structure | modeling | And Context-Free Grammar: Exploring A New Approach For Surface Boundary Construction |
| Superquadrics For Segmenting And | modeling | Range Data |
| Surface | modeling | From Dynamic Integration Of Multiple Range Views |
| Surface | modeling | Method By Polygonal Primitives For Visualizing Three-Dimensional Volume Data |
| Surface | modeling | With Oriented Particle Systems |
| Surface Segmentation And | modeling | Of 3-D Polygonal Objects From Stereoscopic Image Pairs |
| Survey Of Constraint Satisfaction Techniques For Geometric | modeling | , A |
| Temporal Texture | modeling | |
| Texture | modeling | By Multiple Pairwise Pixel Interactions |
| Texture | modeling | Using Gibbs Distributions |
| Texturing And | modeling | : A Procedural Approach, Academic Press, Orlando |
| Third International Conference/Workshop On Integrating Geographic Information Systems And Environmental | modeling | , Santa Fe, Nm |
| Three Dimensional Object | modeling | Via Minimal Surfaces |
| Three-Dimensional Grouping And Information Fusion For Site | modeling | From Aerial Images |
| Three-Dimensional Structure Texture | modeling | And Segmentation |
| Three-Dimensional Terrain | modeling | And Display For Environmental Assessment |
| Time Series | modeling | For Texture Analysis And Synthesis With Applications To Cloud Field Morphology Study |
| Tools And Techniques For | modeling | And Simulation (24th Aipr Workshop), Washington, Dc |
| Topics In Physically Based | modeling | , Addison-Wesley, Reading |
| Toward Stochastic | modeling | Of Obstacle Detectability In Passive Stereo Range Imagery |
| Tracking Motion And Intensity Variations Using Hierarchical 2-D Mesh | modeling | For Synthetic Object Transfiguration |
| Undo And Redo Operations For Solid | modeling | |
| Unified | modeling | Of Non-Homogeneous 3d Objects For Thermal And Visual Image Synthesis |
| Use Of Cues From Range Data For Automatic Building | modeling | |
| Use Of Multiple Sources For The | modeling | And Coding Of Nonstationary Images, The |
| User Assisted | modeling | Of Buildings |
| Using Extremal Boundaries For 3-D Object | modeling | |
| Using Geometric Distance Fits For 3-D Object | modeling | And Recognition |
| Using Occluding Contours For 3d Object | modeling | |
| Using Real Functions With Application To Hair | modeling | |
| Using Stochastic | modeling | For Texture Generation |
| Using Tolerances To Guarantee Valid Polyhedral | modeling | Results |
| Variational Surface | modeling | |
| Vehicle-Type Motion | modeling | And Analysis |
| View Planning For Site | modeling | |
| Viewing Pipeline For Discrete Solid | modeling | , A |
| Viewpoint Independent | modeling | Approach To Object Recognition, A |
| Virtual Reality | modeling | From A Sequence Of Range Images |
| Vision And Mind-- | modeling | Mental Functions, Erlbaum, Hillsdale |
| Vision Based Hand | modeling | And Tracking For Virtual Teleconferencing And Telecollaboration |
| Visual | modeling | With Logo-A Structural Approach To Seeing, Mit Press, Cambridge |
| Visual | modeling | With Logo-A Structured Approach To Seeing, Mit Press, Cambridge |
| Visual Perception And Sequences Of Eye Movement Fixations: A Stochastic | modeling | Approach |
| Volume-Sampled 3d | modeling | |
| Voxel Space Automata: | modeling | With Stochestic Growth Processes In Voxel Space |
| Wavelet-Domain Texture | modeling | For Image Compression |
| Workshop On Image-Based | modeling | And Rendering, Stanford, Ca |
| Workshop On Physics-Based | modeling | In Computer Vision, Cambridge, Ma |
| Zeta: A Resolution | modeling | System |
| ``Lifegame'' Approach To Surface | modeling | And Rendering, A |
374 for modeling
| _ | motion | _ |
| 2-D | motion | Estimation Algorithm, A |
| 2d Feature Tracking Algorithm For | motion | Analysis |
| 2d Fluid | motion | Analysis From A Single Image |
| 3-D Kalman Filter For Image | motion | Estimation |
| 3-D Measurement Strategy Based On A Projection Invariance | motion | Analysis With An Artificial Retina Sensor |
| 3-D | motion | Estimation And Object Tracking Using B-Spline Curve Modeling |
| 3-D | motion | Estimation From Motion Field |
| 3-D | motion | Estimation From Motion Field |
| 3-D | motion | Estimation In Model-Based Facial Image Coding |
| 3-D | motion | Estimation Using A Sequence Of Noisy Stereo Images |
| 3-D | motion | Estimation Using A Sequence Of Noisy Stereo Images: Models, Estimation, And Uniqueness Results |
| 3-D | motion | Estimation, Understanding, And Prediction From Noisy Image Sequences |
| 3-D | motion | From Image Sequences: Modeling, Understanding, And Prediction |
| 3-D | motion | Recovery From Time-Varying Optical Flows |
| 3-D Object Reconstruction Using Stereo And | motion | |
| 3-D Translational | motion | And Structure From Binocular Image Flows |
| 3d Modeling And Tracking Of Human Lip | motion | s |
| 3d | motion | And Scene Structure Estimation With Motion Dependent Distor(S)[T]Ion Of Measurement Windows |
| 3d | motion | And Scene Structure Estimation With Motion Dependent Distor(S)[T]Ion Of Measurement Windows |
| 3d | motion | And Shape Representation In Visual Servo Control |
| 3d | motion | Estimation From Combined 2d-3d Data Of Line Segments |
| 3d | motion | Estimation Of A Trinocular System For A Full-3d Object Reconstruction |
| 3d | motion | Estimation Of Video Objects Using A Priori Data And 2d Apparent Motion |
| 3d | motion | Estimation Of Video Objects Using A Priori Data And 2d Apparent Motion |
| 3d | motion | Estimation Using Expansion Matching And Kl Based Canonical Images |
| 3d | motion | Recovery Via Affine Epipolar Geometry |
| 3d | motion | Representations In Visual Servo Control |
| 3d Shape And | motion | Analysis From Image Blur And Smear: A Unified Approach |
| 3d Shape And | motion | By Svd Under Higher-Order Approximation Of Perspective Projection |
| 3d Structure And | motion | Estimation From 2d Image Sequences |
| 3d Structure Reconstruction From An Ego | motion | Sequence Using Statistical Estimation And Detection Theory |
| 3d Surface Estimation And Model Construction From Specular | motion | In Image Sequences |
| 7. Matching, stereo, and | motion | |
| 7. Matching, stereo, and | motion | |
| 7. Matching, stereo, and | motion | |
| 7. Matching, stereo, and | motion | |
| A. | motion | |
| A. | motion | |
| A.1. Structure from | motion | |
| A.1. Structure from | motion | |
| Acceleration-Based Structure-From- | motion | |
| Accuracy Of The Computation Of Optical Flow And Of The Recovery Of | motion | Parameters, The |
| Accurate Computation Of Optical Flow By Using Layered | motion | Representations |
| Accurate Structure And | motion | Computation In The Presence Of Range Image Distortions Due To Sequential Acquisition |
| Acquiring 3d Object Models From Specular | motion | Using Circular Light(S) Illumination |
| Active | motion | Detection And Object Tracking |
| Active Part-Decomposition, Shape, And | motion | Estimation Of Articulated Objects: A Physics-Based Approach |
| Active Recovery Of 3d | motion | Trajectories And Their Use In Prediction, The |
| Adaptive Bayesian Decision Model For | motion | Segmentation |
| Adaptive Meshes And Nonrigid | motion | Computation |
| Adaptive-Size Physically-Based Models For Nonrigid | motion | Analysis |
| Aerodynamic Force Models For Animating Cloth | motion | In Air Flow |
| Affine Invariant Detection Of Periodic | motion | |
| Affine | motion | Estimation Using A Neural Network |
| Affine Shape Representation From | motion | Through Reference Points |
| Algebraic Polyhedral Constraints And 3d Structure From | motion | |
| Algorithm For Matching 3-D Line Segments With Application To Multiple-Object | motion | Estimation, An |
| Algorithm For Shortest-Path | motion | In Three Dimensions, An |
| Algorithmic And Complexity Issues Of Robot | motion | In An Uncertain Environment |
| Algorithmic Characterization Of Vehicle Trajectories From Image Sequences By | motion | Verbs |
| Algorithmic | motion | Planning In Robotics |
| Algorithms For Estimation Of Three-Dimensional | motion | |
| Ambiguities Of A | motion | Field |
| Ambiguity In Structure From | motion | : Sphere Vs. Plane |
| Analog Vlsi Architectures For | motion | Processing: From Fundamental Limits To System Applications |
| Analysis Of An Algorithm For Detection Of Translational | motion | |
| Analysis Of Complex | motion | Patterns Using Region-Based Curve Analysis |
| Analysis Of Long Image Sequence For Structure And | motion | Estimation |
| Analysis Of | motion | In Natural Scenes Using A Spatiotemporal/Spatiotemporal-Frequency Representation, The |
| Analysis Of The Weak Solution Approach To Image | motion | Estimation |
| Analysis Of Three-Dimensional | motion | s In The Blocks World |
| Analysis Results On Error Sensitivity Of | motion | Estimation From Two Views |
| Analytical Methods For Uncalibrated Stereo And | motion | Reconstruction |
| Analytical Results On Error Sensitivity Of | motion | Estimation From Two Views |
| Analytical Studies Of Low-Level | motion | Estimators In Space-Time Images Using A Unified Filter Concept |
| Analyzing Articulated | motion | Using Expectation-Maximization |
| Analyzing Looming | motion | Components From Their Spatiotemporal Spectral Signature |
| Analyzing Object | motion | Based On Optical Flow |
| Analyzing The Behaviors Of A Car: A Study In Abstraction Of Goal-Directed | motion | |
| Animation Of Stochastic | motion | Of 3-D Cloth Objects |
| Anisotropic Hierarchical | motion | Estimation Method Based On Decomposition Of The Functional Domain |
| Application Of A Hybrid Tracking Algorithm To | motion | Analysis, The |
| Application Of Mean Field Theory To Image | motion | Estimation, The |
| Application Of Surface Reconstruction From Rotational | motion | , An |
| Applications Of A Logic Of Knowledge To | motion | Planning Under Uncertainty |
| Approximate | motion | Planning And The Complexity Of The Boundary Of The Union Of Simple Geometric Figures |
| Artificial Potential Method For Control Of Constrained Robot | motion | |
| Asl Recognition Based On A Coupling Between Hmms And 3d | motion | Analysis |
| Assessment Of Information Criteria For | motion | Model Selection, An |
| Asset-2: Real-Time | motion | Segmentation And Shape Tracking |
| Asset-2: Real-Time | motion | Segmentation And Shape Tracking |
| Asset-2: Real-Time | motion | Segmentation And Object Tracking |
| Association Of | motion | Verbs With Vehicle Movements Extracted From Dense Optical Flow Fields |
| Augmented Voronoi Roadmap For 3d Translational | motion | Planning For A Convex Polyhedron Moving Amidst Convex Polyhedral Obstacles, An |
| Automated Reasoning About Image | motion | Using A Rule-Based Deduction System |
| Automatic Computation Of | motion | In An Image Sequence. Interest For Interpretation. |
| Automatic Feature Point Extraction And Tracking In Image Sequences For Arbitrary Camera | motion | |
| Automatic Feature Point Extraction And Tracking In Image Sequences For Unknown Camera | motion | |
| Automatic | motion | Planning System For A Convex Polygonal Mobile Robot In 2-D Polygonal Space, An |
| Automatic Reconstruction Of 3d Human Arm | motion | From A Monocular Image Sequence |
| Automatic Singularity Test For | motion | Analysis By An Information Criterion |
| Automatic Tracking Of Human | motion | In Indoor Scenes Across Multiple Synchronized Video Streams |
| Automatic Video Indexing Via Object | motion | Analysis |
| Autonomous Mobile Robot Global | motion | Planning And Geometric Beacon Collection Using Traversability Vectors |
| Autonomous | motion | Vision |
| Axial | motion | Stereo |
| Bayesian Estimation Of | motion | Vector Fields |
| Behavioral Visual | motion | Analysis |
| Binocular Estimation Of | motion | And Structure From Long Sequences Using Optical Flow Without Correspondence |
| Binocular Image Flows: Steps Toward Stereo- | motion | Fusion |
| Binocular | motion | Stereo Using Map Estimation |
| Biological Image | motion | Processing: A Review |
| Boundary Extraction Algorithm Based On Particle | motion | In A Vector Image Field |
| Calculating Object Size From Stereoscopic | motion | |
| Camera | motion | Parameter Recovery Under Perspective Projection |
| Catching Moving Objects With Snakes For | motion | Tracking |
| Cellular Automaton Model Of Particle | motion | s And Its Applications, A |
| Classification Images Of Cardiac Wall | motion | Abnormalities |
| Closed Form Solution To The Structure From | motion | Problem From Line Correspondences |
| Closed Form Solutions To Image Flow Equations For Planar Surfaces In | motion | |
| Closed-Form Solution + Maximum Likelihood: A Robust Approach To | motion | And Structure Estimation |
| Closed-Form Solutions To Image Flow Equations For 3d Structure And | motion | |
| Closing The Loop On Multiple | motion | s |
| Coarse-Fine Strategy For Matching | motion | Stereo Pairs |
| Coarse-To-Fine Control Strategy For Stereo And | motion | On A Mesh-Connected Computer, A |
| Collision Detection In | motion | Simulation |
| Collision-Free | motion | Planning Of Two Robots |
| Combined | motion | And Edge Analysis For A Layer-Based Representation Of Image Sequences |
| Combining Intensity And | motion | For Incremental Segmentation And Tracking Over Long Image Sequences |
| Combining Multiple | motion | Estimates For Vehicle Tracking |
| Combining Sources Of Information In Vision. I. Computing Shape From Shading And | motion | |
| Combining Stereo And | motion | Analysis For Direct Estimation Of Scene Structure |
| Comment On On Kineopsis And Computation Of Structure And | motion | , A |
| Common Framework For Kinetic Depth, Reconstruction And | motion | For Deformable Objects, A |
| Common Theoretical Framework For Visual | motion | 'S Spatial And Temporal Coherence, A |
| Compact Integrated | motion | Sensor With Three-Pixel Interaction |
| Compact Representations Of Videos Through Dominant And Multiple | motion | Estimation |
| Comparative Results Of Some | motion | Algorithms On Real Image Sequences |
| Comparative Study On The Path Length Performance Of Maze-Searching And Robot | motion | Planning Algorithms, A |
| Comparison Of Rotational Representations In Structure And | motion | Estimation For Maneuvering Objects, A |
| Comparison Of Stochastic And Deterministic Solution Methods In Bayesian Estimation Of 2-D | motion | , A |
| Comparison Of Stochastic And Deterministic Solution Methods In Bayesian Estimation Of 2d | motion | |
| Comparison Of Weighted Ls Methods With Ls Methods In 3-D | motion | Estimation From Stereo Image Sequences, A |
| Complete Structure And | motion | From Two Monocular Sequences Without Stereo Correspondence |
| Complex Object Tracking By Visual Servoing Based On 2d Image | motion | |
| Complexity Of Fine | motion | Planning, The |
| Complexity Of Planar Compliant | motion | Planning Under Uncertainty, The |
| Complexity Of Planar Compliant | motion | Planning Under Uncertainty, The |
| Complexity Of Robot | motion | Planning, Mit Press, Cambridge, The |
| Compliant | motion | In A Simple Polygon |
| Compliant | motion | Planning With Geometric Models |
| Computation And Analysis Of Image | motion | : A Synopsis Of Current Problems And Methods |
| Computation Of Ego- | motion | And Structure From Visual And Inertial Sensors Using The Vertical Cue |
| Computation Of | motion | In Depth Parameters: A First Step In Stereoscopic Motion Interpretation |
| Computation Of | motion | In Depth Parameters: A First Step In Stereoscopic Motion Interpretation |
| Computation Of | motion | -In-Depth Parameters Using Stereoscopic Motion Constraints |
| Computation Of | motion | -In-Depth Parameters Using Stereoscopic Motion Constraints |
| Computation Of Optic Flow From The | motion | Of Edge Features In Image Sequences |
| Computation Of Optical Flow And Rigid | motion | |
| Computational Analysis Of Visual | motion | , Plenum Press |
| Computational Approach To | motion | Perception, A |
| Computational Framework And An Algorithm For The Measurement Of Structure From | motion | , A |
| Computational Geometry And | motion | Planning |
| Computational Model For Binocular | motion | Processing, A |
| Computational Modelling Of | motion | Detectors: Responses To Two-Frame Displays |
| Computationally-Efficient Methods For Recovering Translational | motion | |
| Computations Underlying The Measurement Of Visual | motion | |
| Computations Underlying The Measurement Of Visual | motion | |
| Computing Ego | motion | And Detecting Independent Motion From Image Motion Using Collinear Points |
| Computing Ego | motion | And Detecting Independent Motion From Image Motion Using Collinear Points |
| Computing Ego | motion | And Shape From Image Motion Using Collinear Points |
| Computing | motion | And Structure In Image Sequences Without Calibration |
| Computing | motion | Using Analog And Binary Resistive Networks |
| Computing | motion | Using Analog Vlsi Vision Chips: An Experimental Comparison Among Different Approaches |
| Computing | motion | Using Analog Vlsi Vision Chips: An Experimental Comparison Among Four Approaches |
| Computing Occluding And Transparent | motion | s |
| Computing Structure And | motion | Of General 3d Curves From Monocular Sequences Of Perspective Images |
| Computing Three-Dimensional | motion | Parameters: A Hypothesis Testing Approach |
| Computing Two | motion | s From Three Frames |
| Computing Visual | motion | In The Short And The Long: From Receptive Fields To Neural Networks |
| Concept Of Virtual | motion | In Vision Calculus, The |
| Concerning Bayesian | motion | Segmentation, Model Averaging, Matching And The Trifocal Tensor |
| Conference On Robotics, | motion | , And Machine Vision In The Automotive Industries, Florence, Italy |
| Conics-Based Stereo, | motion | Estimation, And Pose Determination |
| Connected Vibrations Method For Non-Rigid | motion | Tracking |
| Connected Vibrations: A Modal Analysis Approach For Non-Rigid | motion | Tracking |
| Connectionist Robot | motion | Planning: A Neurally-Inspired Approach To Visually-Guided Reaching, Academic Press |
| Constrained Deformable Superquadrics And Nonrigid | motion | Tracking |
| Constraints On Deformable Models: Recovering 3d Shape And Nonrigid | motion | |
| Content-Based Search Of Video Using Color, Texture, And | motion | |
| Contingent Aftereffects And Isoluminance: Psychophysical Effects For Separation Of Color, Orientation, And | motion | |
| Contour Evolution, Neighborhood Deformation And Image Flow: Textured Surfaces In | motion | |
| Contour Evolution, Neighborhood Deformation, And Global Image Flow: Planar Surfaces In | motion | |
| Contour | motion | Estimation From Image Sequences Using Curvature Information |
| Contour | motion | Estimation Using Relaxation Matching With A Smoothness Constraint On The Velocity Field |
| Contour, Orientation And | motion | |
| Controlled Camera | motion | s For Scene Reconstruction And Exploration |
| Convected Activation Profiles And The Measurement Of Visual | motion | |
| Converging Approaches To Extracting Structure From | motion | : Psychophysical And Computational Investigations Of Recovering Connectivity From Moving Point-Light Displays |
| Convex Approximation Of Regularization Models For | motion | Estimation With Markov Random Fields, A |
| Cooperative Fusion Of Stereo And | motion | |
| Coordinate Rotation Invariance Of Image Characteristics For 3d Shape And | motion | Recovery |
| Coordinated | motion | Planning For Two Independent Robots |
| Coordinated | motion | Planning: The Warehousman'S Problem With Constraints On Free Space |
| Correspondence And Segmentation Of Multiple Rigid | motion | s Via Epipolar Geometry |
| Correspondenceless Stereo And | motion | : Planar Surfaces |
| Coupled, Multi-Resolution Stereo And | motion | Analysis |
| Coupling Of Rotation And Translation In | motion | Estimation Of Planar Surfaces, The |
| Creating Virtual Scenes Using Active Contours And Global | motion | Estimation |
| Critical Markov Random Fields And Fractional Brownian | motion | In Texture Synthesis |
| Critical | motion | Sequences For Monocular Self-Calibration And Uncalibrated Euclidean Reconstruction |
| Curvature-Based Approach To Contour | motion | Estimation, A |
| Curvature-Based Approach To Point Correspondence Recovery In Conformal Nonrigid | motion | |
| Curve | motion | Constraint Equation And Its Applications |
| Cyclic | motion | Detection For Motion Based Recognition |
| Cyclic | motion | Detection For Motion Based Recognition |
| Cyclic | motion | Detection Using Spatiotemporal Surfaces And Curves |
| Data Set For Quantitative | motion | Analysis, A |
| Data Set For Quantitative | motion | Analysis, A |
| Decoupling The 3d | motion | Space By Fixation |
| Deformable Model-Based Shape And | motion | Analysis From Images Using Motion Residual Error |
| Deformable Model-Based Shape And | motion | Analysis From Images Using Motion Residual Error |
| Dense Non-Rigid | motion | Estimation In Sequences Of Medical Images Using Differential Constraints |
| Dense Nonrigid | motion | Tracking From A Sequence Of Velocity Fields |
| Dense Shape And | motion | From Region Correspondences By Factorization |
| Depth And Flow From | motion | Energy |
| Depth And | motion | Analysis Machine, The |
| Depth Extraction Using A Single Moving Camera: An Integration Of Depth From | motion | And Depth From Stereo |
| Depth Extraction Using Lateral Or Axial Camera | motion | : An Integration Of Depth From Motion And Stereo |
| Depth Extraction Using Lateral Or Axial Camera | motion | : An Integration Of Depth From Motion And Stereo |
| Depth-From- | motion | Estimation Based On A Multiscale Analysis Of Motion Constraint Equation Validity |
| Depth-From- | motion | Estimation Based On A Multiscale Analysis Of Motion Constraint Equation Validity |
| Derivation Of Qualitative Information In | motion | Analysis |
| Derivation Of Qualitative Information In | motion | Analysis, The |
| Describing | motion | For Recognition |
| Description And Interpretation Of Rotational | motion | From Image Trajectories |
| Description And Reconstruction From Image Trajectories Of Rotational | motion | |
| Design And Implementation Of High-Speed Visual Tracking System For Real-Time | motion | Analysis |
| Design And | motion | Planning Of A Mechanical Snake |
| Design For A Visual | motion | Transducer, A |
| Design For A Visual | motion | Transducer, A |
| Detecting Height From Constrained | motion | |
| Detecting | motion | In Out-Of-Register Pictures |
| Detecting Multiple Image | motion | s By Exploiting Temporal Coherence Of Apparent Motion |
| Detecting Multiple Image | motion | s By Exploiting Temporal Coherence Of Apparent Motion |
| Detecting Relative | motion | In Moving Point Patterns |
| Detecting Salient | motion | Using Spatiotemporal Filters And Optical Flow |
| Detecting The | motion | Of A Planar Surface By Line And Surface Integrals |
| Detecting Visual | motion | Boundaries |
| Detection And Measurement Of Visual | motion | , The |
| Detection And Recognition Of Periodic, Nonrigid | motion | |
| Detection And Segmentation Of Feature Trajectories In Multiple, Discontinuous | motion | Image Sequences |
| Detection And Tracking Of Independent | motion | |
| Detection Of Human Faces In Color Image Sequences With Arbitrary | motion | s For Very Low Bit-Rate Videophone Coding |
| Detection Of Multiple Moving Objects Using Multiscale Mrf With Camera | motion | Compensation |
| Detection Of Surface Orientation And | motion | From Texture By A Stereological Technique |
| Detection Of Surface Orientation And | motion | From Texture By A Stereological Technique |
| Determination Of | motion | Parameters And Estimation Of Point Correspondences In Small Nonrigid Deformations |
| Determining 3-D | motion | And Structure From Optical Flow Generated By Moving Objects |
| Determining 3-D | motion | Of Planar Objects From Image Brightness Patterns |
| Determining 3d | motion | /Structure Of A Rigid Body Over 2 Frames Using Correspondences Of Straight Lines Lying On Parallel Planes |
| Determining Articulated | motion | From Perspective Views: A Decomposition Approach |
| Determining Correspondences And Rigid | motion | Of 3-D Point Sets With Missing Data |
| Determining | motion | And Depth From Binocular Orthographic Views |
| Determining | motion | Fields Under Non-Uniform Illumination |
| Determining | motion | From 3d Line Segment Matches: A Comparative Study |
| Determining | motion | Of Image Curves From Local Pattern Changes |
| Determining | motion | Of Non-Rigid Objects By Active Tubes |
| Determining | motion | Parameters For Scenes With Translation And Rotation |
| Determining | motion | Parameters Using Intensity Guided Range Sensing |
| Determining | motion | Parameters Using Intensity Guided Range Sensing |
| Determining Object | motion | In A Sequence Of Stereo Images |
| Determining Object Translation Information Using Stereoscopic | motion | |
| Determining Robot Ego | motion | From Motion Parallax Observed By An Active Camera |
| Determining The 3-D | motion | Of A Rigid Planar Patch Without Correspondence, Under Perspective Projection |
| Determining The 3-D | motion | Of A Rigid Surface Patch Without Correspondence Under Perspective Projection: I. Planar Surfaces. Ii. Curved Surfaces. |
| Determining Three-Dimensional | motion | And Structure From Optical Flow Generated By Several Moving Objects |
| Determining Three-Dimensional | motion | And Structure From Perspective Views |
| Differential Estimation Of The Global | motion | Parameters Zoom And Pan |
| Dimension Estimation Of Discrete-Time Fractional Brownian | motion | With Applications To Image Texture Classification |
| Direct Computation Of Qualitative 3-D Shape And | motion | Invariants |
| Direct Computation Of Qualitative 3d Shape And | motion | Invariants |
| Direct Data Approximation Based | motion | Estimation Algorithm, A |
| Direct Estimation Of Deformable | motion | Parameters From Range Image Sequence |
| Direct Estimation Of | motion | And Extended Scene Structure From A Moving Stereo Rig |
| Direct Estimation Of Structure From Non-Linear | motion | By Voting Algorithm Without Tracking And Matching |
| Direct Evidence For Occlusion In Stereo And | motion | |
| Direct Evidence For Occlusion In Stereo And | motion | |
| Direct Manipulation Of Generalized Cylinders Based On B-Spline | motion | |
| Direct Methods For Estimation Of Structure And | motion | From Three Views |
| Direct Methods For Recovering | motion | |
| Direct | motion | Stereo For Passive Navigation |
| Direct | motion | Stereo For Passive Navigation |
| Direct | motion | Stereo: Recovery Of Observer Motion And Scene Structure |
| Direct | motion | Stereo: Recovery Of Observer Motion And Scene Structure |
| Direct Multi-Resolution Estimation Of Ego- | motion | And Structure From Motion |
| Direct Multi-Resolution Estimation Of Ego- | motion | And Structure From Motion |
| Direct Non-Linear Methods For Recovering Structure And | motion | |
| Direct Processing Of Curvilinear Sensor | motion | From A Sequence Of Perspective Images |
| Direct Recovery Of | motion | And Range From Images Of Scenes With Time-Varying Illumination |
| Direct Recovery Of | motion | And Shape In The General Case By Fixation |
| Direct Recovery Of | motion | And Shape In The General Case By Fixation |
| Directions Of | motion | Fields Are Hardly Ever Ambiguous |
| Directions Of | motion | Fields Are Hardly Ever Ambiguous |
| Divide-And Conquer Approach With Heuristics Of | motion | Planning For A Cartesian Manipulator, A |
| Dominant And Multiple | motion | Estimation For Video Representation |
| Driving Saccade To Pursuit Using Image | motion | |
| Dynamic Camera Self-Calibration From Controlled | motion | Sequences |
| Dynamic Camera Self-Calibration From Controlled | motion | Sequences |
| Dynamic Imagery Modeling And | motion | Estimation Using Weak Formulations |
| Dynamic | motion | Planning Of Autonomous Vehicles |
| Dynamic | motion | Vision |
| Dynamic Pyramid-A Model For | motion | Analysis With Controlled Continuity, The |
| Dynamic Reconstruction Of 3d Structure And 3d | motion | |
| Dynamic Retina: Contrast And | motion | Detection For Active Vision, The |
| Dynamic Retina: Contrast And | motion | Detection For Active Vision, The |
| Dynamic Rigid | motion | Estimation From Weak Perspective |
| Dynamic Shading, | motion | Parallax And Qualitative Shape |
| Dynamic Updating Of Planar Structure And | motion | : The Case Of Constant Motion |
| Dynamic Updating Of Planar Structure And | motion | : The Case Of Constant Motion |
| Dynamic Visual | motion | Estimation From Subspace Constraints |
| Early Detection Of Independent | motion | From Active Control Of Normal Image Flow Patterns |
| Early Detection Of | motion | Boundaries, The |
| Early Identification Of Occlusion In Stereo- | motion | Image Sequences |
| Edge Detection And | motion | Detection |
| Edge-Based 3-D Camera | motion | Estimation With Application To Video Coding |
| Effect Of Kinematics On | motion | Planning For Planar Robot Arms Moving Amidst Unknown Obstacles |
| Effect Of Time-Spatial Size Of | motion | Image For Localization By Using The Spotting Method |
| Efficient Algorithm For One-Step Planar Compliant | motion | Planning With Uncertainty, An |
| Efficient Algorithm For One-Step Planar Compliant | motion | With Uncertainty, An |
| Efficient Algorithm For Planning Collision-Free Translational | motion | Of A Convex Polygonal Object In 2-Dimensional Space Amidst Polygonal Obstacles, An |
| Efficient And Simple | motion | Planning Algorithm For A Ladder Amidst Polygonal Barriers, An |
| Efficient And Simple | motion | Planning Algorithm For A Ladder Moving In Two-Dimensional Space Amidst Polygonal Barriers, An |
| Efficient Collision Detection Among Objects In Arbitrary | motion | Using Multiple Shape Representations |
| Efficient | motion | Planning For An L-Shaped Object |
| Efficient | motion | Planning For An L-Shaped Object |
| Efficient | motion | -Planning Algorithm For A Convex Polygonal Object In Two-Dimensional Polygonal Space, An |
| Efficient Scene Change And Camera | motion | Annotation For Video Classification |
| Efficient Search And Hierarchical | motion | Planning By Dynamically Maintaining Single-Source Shortest Path(S) Trees |
| Ego | motion | From Near-Degenerate Sequences |
| Ego- | motion | And Omnidirectional Cameras |
| Ego- | motion | Estimation Using Optical Flow Fields Observed From Multiple Cameras |
| Ego | motion | Analysis Based On The Frenet-Serret Motion Model |
| Ego | motion | Analysis Based On The Frenet-Serret Motion Model |
| Elevation Modeling And | motion | Tracking Using A Binocular Camera System With Seven Degrees Of Freedom |
| Empirical Bayesian Em-Based | motion | Segmentation |
| Energy Constraints On Deformable Models: Recovering Shape And Non-Rigid | motion | |
| Epipolar Geometry In Stereo, | motion | And Object Recognition, Kluwer, Norwell |
| Epipolar-Plane Image Analysis: A Technique For Analyzing | motion | Sequences |
| Epipolar-Plane Image Analysis: A Technique For Analyzing | motion | Sequences |
| Epipolar-Plane Image Anlysis: An Approach To Determining Structure From | motion | |
| Equivalence Of Subpixel | motion | Estimators Based On Optical Flow And Block Matching |
| Error Analysis Of | motion | Parameter Estimation From Image Sequences |
| Error-Weighted Regularization Algorithm For Image | motion | Field Estimation, An |
| Establishing Correspondence Of Non-Rigid Objects Using Smoothness Of | motion | |
| Establishing | motion | Correspondence |
| Establishing | motion | Correspondence |
| Establishing | motion | -Based Feature Point Correspondence |
| Estimating 3-D | motion | From Range Data |
| Estimating 3d | motion | And Shape Of Multiple Objects Using Hough Transform |
| Estimating 3d Vehicle | motion | In An Outdoor Scene From Monocular And Stereo Image Sequences |
| Estimating Image | motion | From Smear: A Sensor System And Extensions |
| Estimating | motion | And Structure From Correspondences Of Line Segments Between Two Perspective Images |
| Estimating | motion | And Structure From Correspondences Of Line Segments Between Two Perspective Images |
| Estimating | motion | And Structure From Line Matches: Performance Obtained And Beyond |
| Estimating | motion | From Sparse Range Data Without Correspondence |
| Estimating | motion | Of Constant Acceleration From Image Sequences |
| Estimating | motion | Parameters With Three-Dimensional Self-Organizing Maps |
| Estimating | motion | /Structure From Line Correspondences: A Robust Linear Algorithm And Uniqueness Theorems |
| Estimating Non-Rigid | motion | From Point And Line Correspondences |
| Estimating Precise Edge Position By Camera | motion | |
| Estimating Three-Dimensional | motion | Parameters Of A Rigid Planar Patch, Iii: Finite Point Correspondences And The Three-View Problem |
| Estimation Of 3-D | motion | And Structure Based On A Temporally-Oriented Approach With The Method Of Regression |
| Estimation Of 3-D Translational | motion | Parameters Via Hadamard Transform |
| Estimation Of 3d- | motion | And Structure From Tracking 2d-Lines In A Sequence Of Images |
| Estimation Of Complex Multimodal | motion | : An Approach Based On Robust Statistics And Hough Transform |
| Estimation Of Composite Object And Camera Image | motion | |
| Estimation Of Compressible Or Incompressible Deformable | motion | s For Density Images |
| Estimation Of Depth And 3d | motion | Parameter[S] Of Moving Object With Multiple Stereo Images |
| Estimation Of Depth From | motion | Using An Anthropomorphic Visual Sensor |
| Estimation Of Depth-From- | motion | Combining Iterative Prediction Scheme And Regularization Framework |
| Estimation Of General 2-D | motion | Parameters In Tv Scenes |
| Estimation Of General Rigid Body | motion | From A Long Sequence Of Images |
| Estimation Of Geometry And | motion | Of A Surface From Image Sequences By Means Of Linearization Of A Parametric Model, The |
| Estimation Of Image | motion | Parameters Using The Em Algorithm |
| Estimation Of Image | motion | Using Wavefront Region Growing |
| Estimation Of | motion | And Structure Of 3-D Objects From A Sequence Of Images |
| Estimation Of | motion | And Structure Of Planar Surfaces From A Sequence Of Monocular Images |
| Estimation Of | motion | Boundary Location And Optical Flow Using Dynamic Programming |
| Estimation Of | motion | From A Pair Of Range Images: A Review |
| Estimation Of | motion | From Sequential Images Using Integral Constraints |
| Estimation Of | motion | Parameters For A Deformable Object From Range Data |
| Estimation Of | motion | Vector Fields Using Tensor Field Filtering |
| Estimation Of | motion | Vectors And Their Application To Scene Retrieval |
| Estimation Of Object And Sensor | motion | In Infrared Image Sequences |
| Estimation Of Object | motion | Parameters From Noisy Images |
| Estimation Of Object | motion | Parameters From Noisy Images |
| Estimation Of Rigid Body | motion | Using Straight Line Correspondences |
| Estimation Of Rigid Body | motion | Using Straight Line Correspondences |
| Estimation Of Rigid Body | motion | Using Straight Line Correspondences: Further Results |
| Estimation Of Stereo And | motion | Parameters Using A Variational Principle |
| Estimation Of The Velocity Field Of Two-Dimensional Deformable | motion | |
| Estimation Of Three-Dimensional | motion | Of Rigid Objects From Noisy Observations |
| Estimation Of Time-To-Collision Maps From First Order | motion | Models And Normal Flows |
| Estimation Of Trajectories For Accelerated | motion | From Time-Varying Imagery |
| Estimation Of Unstabilized Components In Vehicular | motion | |
| Estimations Of Previewed Road Curvatures And Vehicular | motion | By A Vision-Based Data Fusion Scheme |
| Euclidean Hinge Constraint In Articulated | motion | s, The |
| Euclidean Shape And | motion | From Multiple Perspective Views By Affine Iterations |
| Evaluation Of Biologically Inspired | motion | Detection Systems As A Basis For Local Motion Processing Systems |
| Evaluation Of Biologically Inspired | motion | Detection Systems As A Basis For Local Motion Processing Systems |
| Existence Of Geometrical Density-Image Transformations Corresponding To Object | motion | , The |
| Experimental Evaluation Of | motion | Constraint Equations |
| Experimental Results Of 3d | motion | Estimation Using Images Of Outdoor Scenes |
| Experiments In Estimation Of 3-D | motion | Parameters From A Sequence Of Image Frames |
| Experiments In The Machine Interpretation Of Visual | motion | , Mit Press, Cambridge |
| Exploiting Image | motion | For Active Vision In A Visual Servoing Framework |
| Exploiting The Temporal Coherence Of | motion | For Linking Partial Spatiotemporal Trajectories |
| Exploring Visual Constraints In The Synthesis Of Uncertainty-Tolerant | motion | Plans |
| Exploring Visual | motion | Using Projections Of Motion Fields |
| Exploring Visual | motion | Using Projections Of Motion Fields |
| Extended Block-Matching Algorithms For Estimating Multiple Image | motion | s |
| Extended Structure And | motion | Analysis From Monocular Image Sequences |
| Extracting Good Features For | motion | Estimation |
| Extraction And Classification Of Visual | motion | Patterns For Hand Gesture Recognition |
| Extraction Of | motion | Parallax Structure In The Visual System |
| Facial Expression Recognition Using A Dynamic Model And | motion | Energy |
| Facial | motion | Tracking From Fine To Coarse |
| Factoring Image Sequences Into Shape And | motion | |
| Factorization Based Algorithm For Multi-Image Projective Structure And | motion | , A |
| Factorization Method For The Recovery Of Shape And | motion | From Image Streams, The |
| Factorization Method Using 3-D Linear Combination For Shape And | motion | Recovery, A |
| Factorization Methods For Projective Structure And | motion | |
| Factorization-Based Segmentation Of | motion | s |
| Fast Subspace Algorithm For Recovering Rigid | motion | , A |
| Feasibility Of | motion | And Structure Computations, The |
| Feasibility Of | motion | And Structure From Noisy Time-Varying Image Velocity Information, The |
| Feature Extraction Of Temporal Texture Based On Spatiotemporal | motion | Trajectory |
| Feature Guided Pixel Matching And Segmentation In | motion | Image Sequences |
| Feature-Based Monocular | motion | Analysis System Guided By Feedback Information, A |
| Feed-Forward Recovery Of | motion | And Structure From A Series Of 2d-Lines Matches |
| Finding 3-D Point Correspondences In | motion | Estimation |
| Finding Clusters And Planes From 3d Line Segments With Application To 3d | motion | Determination |
| Finding | motion | Parameters From Spherical Flow Fields (Or The Advantages Of Having Eyes In The Back Of Your Head) |
| Finding | motion | Parameters From Spherical Motion Fields (Or The Advantages Of Having Eyes In The Back Of Your Head) |
| Finding | motion | Parameters From Spherical Motion Fields (Or The Advantages Of Having Eyes In The Back Of Your Head) |
| Finding Planes And Clusters Of Objects From 3d Line Segments With Application To 3d | motion | Determination |
| Finding Point Correspondences And Determining | motion | Of A Rigid Object From Two Weak Perspective Views |
| Finding Point Correspondences And Determining | motion | Of A Rigid Object From Two Weak Perspective Views |
| Finding Point Correspondences In | motion | Sequences Preserving Affine Structure |
| Finding Structurally Consistent | motion | Correspondences |
| Finding The | motion | , Position And Orientation Of A Planar Patch In 3d Space From Scaled Orthographic Projection |
| Finite Element Model For 3d Shape Reconstruction And Nonrigid | motion | Tracking, A |
| Finite Sensor Effects For Estimating Structure-From- | motion | |
| First Order Expansion Of | motion | Equations In The Uncalibrated Case, The |
| Fixation Simplifies 3d | motion | Estimation |
| Fixation: A Direct Method For Recovery Of | motion | And Shape For The General Case |
| Flat Mmf: A New Recursive Technique For The 3-D | motion | Analysis |
| Flexible High-Order Discretization Of Geometric Data For Global | motion | Planning |
| Focal Plane Architecture For | motion | Computation, A |
| Foveate Wavelet Transform For Camera | motion | Recovery From Videos |
| Fractional Analysis|Methods Of | motion | Decomposition, Birkhauser |
| Framework For Estimation Of | motion | Parameters From Range Images, A |
| Framework For Robot | motion | Planning With Sensor Constraints, A |
| Free Space Modeling And Geometric | motion | Planning Under Location Uncertainty |
| Frequency Domain Performance Analysis Of Horn And Schunck'S Optical Flow Algorithm For Deformable | motion | , A |
| Frequency-Based Nonrigid | motion | Analysis: Application To Four Dimensional Medical Images |
| Frequency-Domain | motion | Estimation Using A Complex Lapped Transform |
| From Depth And Optical Flow To Rigid Body | motion | |
| Function From | motion | |
| Further Constraints On Visual Articulated | motion | s |
| Fusion Of Stereo And | motion | Vision For 3-D Reconstruction |
| G. Matching, Stereo, and | motion | |
| G. Matching, Stereo, and | motion | |
| G. Matching, stereo, | motion | |
| G.2. | motion | |
| G.3. | motion | |
| G.3. | motion | |
| G.3. | motion | |
| G.3. | motion | |
| G.3. | motion | |
| General Aperture Problem For Direct Estimation Of 3-D | motion | Parameters, A |
| General | motion | Model And Spatio-Temporal Filters For Computing Optical Flow, A |
| Generalized | motion | Model For Estimating Optical Flow Using 3-D Hermite Polynomials, A |
| Generation And Segmentation Of | motion | Trajectories |
| Geometric Approach To Error Detection And Recovery For Robot | motion | Planning With Uncertainty, A |
| Geotensity: Combining | motion | And Lighting For 3d Surface Reconstruction |
| Gesture Spotting From Continuous Hand | motion | |
| Gibbs Random Field Model Based 3-D | motion | Estimation By Weakened Rigidity |
| Global 3-D | motion | Estimation |
| Global Models With Parametric Offsets As Applied To Cardiac | motion | Recovery |
| Global Surface Reconstruction By Purposive Control Of Observer | motion | |
| Global Surface Reconstruction By Purposive Control Of Observer | motion | |
| Gradient Based | motion | Estimation Without Computing Gradients |
| Gradient-Based Method For General | motion | Estimation And Segmentation, A |
| Graphbots: Cooperative | motion | Planning In Discrete Spaces |
| Gross | motion | Planning-A Survey |
| Ground Plane | motion | Camera Models |
| Guest Ed., (Special Issue On) Algorithmic | motion | Planning In Robotics |
| Guest Ed., Special Issue On Computer Vision | motion | Analysis |
| Guest Ed., Special Issue On Visual | motion | |
| Guest Ed., [Special Issue On | motion | Analysis|Part I] |
| Guest Ed., [Special Section On] Shape And | motion | Modeling |
| Guest Eds., Special Issue On Design And Analysis Of Geometrical Algorithms For Robot | motion | Planning And Vision |
| Guest Eds., Special Issue On Image Sequence Processing And | motion | Analysis In Visual Communication |
| H.5. | motion | and path planning; mapping |
| Harmonic Retrieval Framework For Discontinuous | motion | Estimation, A |
| Harmonic Retrieval Framework For Discontinuous | motion | Estimation, A |
| Hierarchical Analysis Of Visual | motion | |
| Hierarchical Approach For Scene Segmentation Based On 2d | motion | , A |
| Hierarchical Estimation Of Spatial Properties From | motion | |
| Hierarchical Feature Based Matching For | motion | Correspondence |
| Hierarchical Gradient-Based | motion | Detection |
| Hierarchical Likelihood Approach For Region Segmentation According To | motion | -Based Criteria, A |
| Hierarchical Model-Based | motion | Estimation |
| Hierarchical Optical Flow Estimation Algorithm Based On The Interlevel | motion | Smoothness Constaint, A |
| Hierarchical Segmentation-Based Approach To | motion | Analysis |
| Hierarchical Stereo And | motion | Correspondence Using Feature Groupings |
| High Resolution Image Reconstruction From Digital Video With In-Scene | motion | |
| High-Level | motion | Processing|Computational, Neurobiological, And Psychophysical Perspectives, Mit Press, Cambridge |
| Histogramic In- | motion | Mapping For Mobile Robot Obstacle Avoidance |
| Hough Techniques For Fast Optimization Of Linear Constant Velocity | motion | In Moving Influence Fields |
| How Accurately Can Direct | motion | Vision Determine Depth? |
| How To Use More Than Two Frames To Estimate | motion | |
| Human Body | motion | Segmentation In A Complex Scene |
| Human Expression Recognition From | motion | Using A Radial Basis Function Network Architecture |
| Human Face | motion | Analysis |
| Human | motion | Analysis Based On A Robot Arm Model |
| Human Posture Recognition Using Multi-Scale Morphological Method And Kalman | motion | Estimation |
| Hybrid Constraint Equation For | motion | Extraction, The |
| Identifying Multiple | motion | s From Optical Flow |
| Ieee Nonrigid And Articulated | motion | Workshop, San Juan, Pr |
| Ieee Workshop On Visual | motion | , Princeton, Nj |
| Ifip Workshop On Modelling And | motion | Capture Techniques For Virtual Environments, Geneva, Switzerland |
| Image Description And 3-D Reconstruction From Image Trajectories Of Rotational | motion | |
| Image Flow Continuity Equations For | motion | And Density |
| Image | motion | Estimation Algorithms Using Cumulants |
| Image | motion | Estimation From Motion Smear--A New Computational Model |
| Image | motion | Estimation From Motion Smear--A New Computational Model |
| Image | motion | Estimation Technique Based On A Combined Statistical Test And Spatiotemporal Generalised Likelihood Ratio Approach, An |
| Image Sequence Analysis Of Real World Human | motion | |
| Image Sequence Enhancement Using Multiple | motion | s Analysis |
| Image Sequence Enhancements Based On The Normal Component Of Image | motion | |
| Image Sequence Restoration: A Pde-Based Coupled Method For Image Restoration And | motion | Segmentation |
| Image Sequence Segmentation Using | motion | Coherence |
| Image Understanding Via Representation Of The Projected | motion | Group |
| Image-Based Visual- | motion | -Cue For Autonomous Navigation, An |
| Implementation Of A Nonlinear Approach To The | motion | Correspondence Problem |
| Improved Pel-Recursive | motion | Compensation |
| Improving Image Resolution Using Subpixel | motion | |
| Incorporating Body Dynamics Into Sensor-Based | motion | Planning: The Maximum Turn Strategy |
| Incorporating | motion | Error In Multi-Frame Structure From Motion |
| Incorporating | motion | Error In Multi-Frame Structure From Motion |
| Incremental Approximation Of Nonrigid | motion | , The |
| Incremental | motion | Segmentation In Low Texture |
| Incremental Recovery Of Structure From | motion | : Position Vs. Velocity Based Formalutions, The |
| Incremental Rigidity Scheme For Structure From | motion | : The Line-Based Formulation, The |
| Independent 3d | motion | Detection Based On Depth Elimination In Normal Flow Fields |
| Independent 3d | motion | Detection Using Residual Parallax Normal Flow Fields |
| Independent | motion | Segmentation And Collision Prediction For Road Vehicles |
| Independent | motion | Segmentation And Collision Prediction For Road Vehicles |
| Inertial Navigation Sensor Integrated | motion | Analysis |
| Inertial Navigation Sensor Integrated | motion | Analysis For Autonomous Vehicle Navigation |
| Inferring 3d Structure From Image | motion | : The Constraint Of Poinsot Motion |
| Inferring 3d Structure From Image | motion | : The Constraint Of Poinsot Motion |
| Inferring 3d Structure From Three Points In Rigid | motion | |
| Inferring Structure From | motion | : A Homotopy Algorithm |
| Influence Of | motion | On The Masking Of Quantization Errors In Three-Dimensional Dpcm Coding, The |
| Inherent Ambiguities In Recovering 3-D | motion | And Structure From A Noisy Flow Field |
| Inherent Ambiguities In Recovering 3-D | motion | And Structure From A Noisy Flow Field |
| Inherent Ambiguities In Recovering 3-D | motion | And Structure From A Noisy Flow Field |
| Initial Segmentation Of A Scene Using The Results Of A Classification Based | motion | Estimator |
| Integrated Approach To 3-D | motion | Analysis And Object Recognition, An |
| Integrated Architecture For Robot | motion | Planning And Control In The Presence Of Obstacles With Unknown Trajectories, An |
| Integrated | motion | Analysis System Guided By Feedback Informaiton, An |
| Integrated Real-Time | motion | Segmentation And 3d Interpretation |
| Integrated Spatio-Temporal Model And Recursive Algorithm For Image | motion | Estimation, An |
| Integrated Treatment Of Matching And Measurement Errors For Robust Model-Based | motion | Tracking |
| Integration Of Optical Flow And Deformable Models With Applications To Human Face Shape And | motion | Estimation, The |
| Integration Of Region Tracking And Optical Flow For Image | motion | Estimation |
| Interactive Real-Time | motion | Blur |
| Interpolating View And Scene | motion | By Dynamic View Morphing |
| Interpretation Of 3d Structure And | motion | Using Structured Lighting |
| Interpretation Of Conic | motion | And Its Applications |
| Interpretation Of Image Flow: Rigid Curved Surfaces In | motion | |
| Interpretation Of Image | motion | Fields: A Spatio-Temporal Approach |
| Interpretation Of | motion | Trajectories Using Focus Of Expansion |
| Interpretation Of Structure And | motion | From Line Correspondences |
| Interpretation Of Visual | motion | : A Computational Study, Morgan Kaufmann, San Mateo |
| Interpretation Of Visual | motion | : Recognizing Moving Light Displays, The |
| Invariant Surface And | motion | Estimation From Sparse Range Data |
| Investigating A New Visual Cue For Image | motion | Estimation: ``Motion-From-Smear'' |
| Investigating A New Visual Cue For Image | motion | Estimation: ``Motion-From-Smear'' |
| Is Correspondence Necessary For The Perception Of Structure From | motion | ? |
| Issues In Extracting | motion | Parameters And Depth From Approximate Translational Motion |
| Issues In Extracting | motion | Parameters And Depth From Approximate Translational Motion |
| Issues In Extracting | motion | Parameters And Depth From Approximate Translational Motion |
| Issues In Extracting | motion | Parameters And Depth From Approximate Translational Motion |
| Iterated Estimation Of The | motion | Parameters Of A Rigid Body From Noisy Displacement Vectors, An |
| Iterative Approach To Dynamic Simulation Of 3-D Rigid Body | motion | s For Real-Time Interactive Computer Animation, An |
| Iterative | motion | Estimation-Segmentation Method Using Watershed Segments, An |
| Joint Disparity And | motion | Field Estimation In Stereoscopic Image Sequences |
| Joint Segmentation And B-Spline Object Contour Modelling For Object Tracking And | motion | Compensation In Image Sequences |
| Joint Segmentation And | motion | Estimation |
| K. | motion | |
| K. | motion | |
| K. | motion | |
| K. | motion | |
| K. | motion | |
| K. | motion | |
| K. | motion | |
| K. | motion | [1533-1536] (K.1) Flow; egomotion: [1537-1587] (K. |
| K. | motion | [1533-1536] (K.1) Flow; egomotion: [1537-1587] (K. |
| K. | motion | [1689-1692] |
| K. | motion | [] |
| K.2 Structure from | motion | |
| K.2. Structure from | motion | |
| K.2. Structure from | motion | |
| K.2. Structure from | motion | |
| Kalman Filter Approach For Accurate 3-D | motion | Estimation From A Sequence Of Stereo Images, A |
| Kalman Filter Approach For Accurate 3-D | motion | Estimation From A Sequence Of Stereo Images, A |
| Kalman Filter In | motion | Analysis From Stereo Image Sequences, A |
| Kalman-Filtering Method For 3-D Camera | motion | Estimation From Image Sequences, A |
| Kinematic And 3d | motion | Prediction For Gaze Control |
| Kinodynamic | motion | Planning |
| L. | motion | |
| L. | motion | |
| L. | motion | |
| L.1. Flow Computation, | motion | Estimation |
| L.1. Structure from | motion | |
| L.2. | motion | estimation; motion synthesis |
| L.2. | motion | estimation; motion synthesis |
| L.2. Structure from | motion | |
| L.3. | motion | Detection and Tracking; Segmentation |
| L.3. | motion | : special topics |
| L.4. | motion | : Other Topics |
| Laser Tracking System To Measure Position And Orientation Of Robot End Effectors Under | motion | , A |
| Layered Representation For | motion | Analysis |
| Layered Representation Of | motion | Video Using Robust Maximum-Likelihood Estimation Of Mixture Models And Mdl Encoding |
| Learned Temporal Models Of Image | motion | |
| Learning Dynamics Of Complex | motion | s From Image Sequences |
| Learning | motion | From Images |
| Learning | motion | Trajectories Via Self-Organization |
| Learning Parameterized Models Of Image | motion | |
| Learning System For Consolidated Recognition And | motion | Analysis, A |
| Learning To Track The Visual | motion | Of Contours |
| Line Segment Based Approach For 3d | motion | Estimation And Tracking Of Multiple Objects, A |
| Line Segment Based Axial | motion | Stereo |
| Line-Based Computation Of Structure And | motion | Using Angular Invariance |
| Linear Algorithm For | motion | Estimation Using Straight Line Correspondences, A |
| Linear Algorithm For | motion | Estimation Using Straight Line Correspondences, A |
| Linear Algorithm For Point And Line-Based Structure From | motion | , A |
| Linear Fitting With Missing Data: Applications To Structure-From- | motion | And To Characterizing Intensity Images |
| Linear | motion | Estimation For Image Sequence Based Accurate 3-D Measurements |
| Linear Solution For Multiframe Structure From | motion | , A |
| Local | motion | Estimation With The Dynamic Pyramid |
| Local | motion | Estimation With The Dynamic Pyramid |
| Local Quantitative Measurements For Cardiac | motion | Analysis |
| Log-Tracker: An Attribute-Based Approach To Tracking Human Body | motion | |
| Long-Range Spatiotemporal | motion | Understanding Using Spatiotemporal Flow Curves |
| Low Level | motion | Events: Trajectory Discontinuities |
| Lower Bounds For Randomized Server And | motion | Planning Algorithms |
| Maintaining Multiple | motion | Model Hypotheses Over Many Views To Recover Matching And Structure |
| Manipulator | motion | Planning In The Presence Of Obstacles And Dynamic Constraints |
| Massively Parallel Implementations Of Theories For Apparent | motion | |
| Matching 3-D Line Segments With Applications To Multiple-Object | motion | Estimation |
| Matching Algorithm For Horizontal | motion | . Application To Tracking., A |
| Matching Algorithm For | motion | Analysis Of Dense Populations, A |
| Matching And | motion | Estimation Of Three-Dimensional Point And Line Sets Using Eigenstructure Without Correspondences |
| Matching Error Based Criterion Of Region Merging For Joint | motion | Estimation And Segmentation Techniques |
| Matching Images Uisng | motion | Features |
| Matching | motion | Trajectories Using Scale-Space |
| Mathematical Analysis Of The | motion | Coherence Theory, A |
| Mathematical Properties Of The 2d | motion | Field: From Singular Points To Motion Parameters |
| Mathematical Properties Of The 2d | motion | Field: From Singular Points To Motion Parameters |
| Maximal Matching Of 3-D Points For Multiple-Object | motion | Estimation |
| Maximum Likelihood Estimator Is Not ``Optimal'' On 3-D | motion | Estimation From Noisy Optical Flow, The |
| Mdl-Based Segmentation And | motion | Modeling In A Long Image Sequence Of Scene With Multiple Independently Moving Objects |
| Mdl-Based Spatiotemporal Segmentation From | motion | In A Long Image Sequence |
| Measure Of | motion | Salience For Surveillance Applications, A |
| Measurement In Three Dimensions By | motion | Stereo And Spherical Mapping |
| Measurement Of Non-Rigid | motion | Using Contour Shape Descriptors |
| Measurement Of The 2d Affine Lie Group Parameters For Visual | motion | Analysis |
| Measurement Of Visual | motion | , Mit Press, Cambridge |
| Measuring Image | motion | In Dynamic Images |
| Mechanisms For Isolating Component Patterns In The Sequential Analysis Of Multiple | motion | |
| Method Of Integrating | motion | Information Along Contours Including Segmentation, A |
| Method To Calculate The Structure And | motion | Parameters From Line Correspondences, A |
| Method To Interpret 3d | motion | Using Neural Networks, A |
| Metrics For The Strength Of Low-Level | motion | Perception |
| Minimal Architecture For Detecting Object Location And | motion | , A |
| Minimum-Speed | motion | s |
| Mirror Uncertainty And Uniqueness Conditions For Determining Shape And | motion | From Orthographic Projection |
| Mixed Approach For | motion | Planning: Learning Global Strategies From A Local Planner, The |
| Model Based Approach In Extracting And Generating Human | motion | , A |
| Model Based Estimation Of Point Correspondences Between Boundaries Undergoing Nonrigid | motion | |
| Model Based | motion | Estimation Using Constrained Weighted Least Squares |
| Model For Animating The | motion | Of Cloth, A |
| Model For Characterizing The | motion | Of The Solid-Liquid Interface In Freezing Solutions, A |
| Model For The Detection Of | motion | Over Time, A |
| Model For Visual Flow-Field Cueing And Self- | motion | Estimation, A |
| Model-Based 2d & 3d Dominant | motion | Estimation For Mosaicing And Video Representation |
| Model-Based Articulated Hand | motion | Tracking For Gesture Recognition |
| Model-Based Brightness Constraints: On Direct Estimation Of Structure And | motion | |
| Model-Based Estimation Of 3d Human | motion | With Occlusion Based On Active Multi-Viewpoint Selection |
| Model-Based Joint | motion | And Structure Estimation From Stereo Images |
| Model-Based Multiresolution | motion | Estimation In Noisy Images |
| Model-Based Nonrigid | motion | Recovery From Sequences Of Range Images Without Point Correspondences |
| Model-Based Recognition Using 3d Structure From | motion | |
| Modeling The | motion | Of A Hot, Turbulent Gas |
| Modeling, Analysis And Visualization Of Nonrigid Object | motion | |
| Models Of Statistical Visual | motion | Estimation |
| Morphological Scheme For Mean Curvature | motion | And Applications To Anisotropic Diffusion And Motion Of Level Sets, A |
| Morphological Scheme For Mean Curvature | motion | And Applications To Anisotropic Diffusion And Motion Of Level Sets, A |
| Morphological Scheme For Mean Curvature | motion | And Applications To Anisotropic Diffusion And Motion Of Level Sets, A |
| Morphological Scheme For Mean Curvature | motion | And Applications To Anisotropic Diffusion And Motion Of Level Sets, A |
| Morphological Shape Representation Of Segmented Images Based On Temporally Modeled | motion | Vectors |
| motion | Aftereffect|A Modern Perspective, Mit Press, Cambridge, The |
| motion | Analysis And Epicardial Deformation Estimation From Angiography Data |
| motion | Analysis And Image Sequence Processing, Kluwer, Dordrecht |
| motion | Analysis And Modeling Of Epicardial Surfaces From Point And Line Correspondences |
| motion | Analysis By Translational Decomposition |
| motion | Analysis For Image Enhancement: Resolution, Occlusion, And Transparency |
| motion | Analysis From First-Order Properties Of Optical Flow |
| motion | Analysis Of A Homogeneously Deformable Object Using Subset Correspondences |
| motion | Analysis Of Articulated Objects With Applications To Human Ambulatory Patterns |
| motion | Analysis Of Human Ambulatory Patterns |
| motion | Analysis Of Isolated Targets In Infared Image Sequences |
| motion | Analysis Of Isolated Targets In Infrared Image Sequences |
| motion | Analysis Of Long Image Sequence Flow |
| motion | Analysis Of Multiple Moving Objects Using Hartley Transform |
| motion | Analysis Of Nonrigid Surfaces |
| motion | Analysis Using The Neural Accelerator Board |
| motion | Analysis Using The Novelty Filter |
| motion | Analysis Via Interframe Point Correspondence |
| motion | Analysis With A Camera With Unknown, And Possibly Varying Intrinsic Parameters |
| motion | Analysis With Orientational Filtering |
| motion | And Binocular Stereo For Passive Ranging |
| motion | And Color-Based Video Indexing And Retrieval |
| motion | And Depth From Binocular Orthographic Views |
| motion | And Segmentation Prediction In Image Sequences Based On Moving Object Tracking |
| motion | And Structure Based Image Segmentation For Object-Oriented Time-Varying Sequences Coding |
| motion | And Structure Estimation From Stereo Image Sequences |
| motion | And Structure Estimation Using Long Sequence Motion Models |
| motion | And Structure Estimation Using Long Sequence Motion Models |
| motion | And Structure Factorization And Segmentation Of Long Multiple Motion Image Sequences |
| motion | And Structure Factorization And Segmentation Of Long Multiple Motion Image Sequences |
| motion | And Structure Factorization And Segmentation Of Long Multiple Motion Image Sequences |
| motion | And Structure Factorization And Segmentation Of Long Multiple Motion Image Sequences |
| motion | And Structure From Feature Correspondences: A Review |
| motion | And Structure From Image Sequences, Springer |
| motion | And Structure From Line Correspondences: Some Further Results |
| motion | And Structure From Line Correspondences: Closed-Form Solution, Uniqueness, And Optimization |
| motion | And Structure From Line Correspondencesunder Orthographic Projection |
| motion | And Structure From Long Stereo Image Sequences |
| motion | And Structure From Motion From Point And Line Matches |
| motion | And Structure From Motion From Point And Line Matches |
| motion | And Structure From Motion In A Piecewise Planar Environment |
| motion | And Structure From Motion In A Piecewise Planar Environment |
| motion | And Structure From One Dimensional Optical Flow |
| motion | And Structure From Orthographic Projections |
| motion | And Structure From Orthographic Projections |
| motion | And Structure From Point Correspondences With Error Estimation: Planar Surfaces |
| motion | And Structure From Point Correspondences: A Robust Algorithm For Planar Case With Error Estimation |
| motion | And Structure From Two Perspective Views: Algorithms, Error Analysis, And Error Estimation |
| motion | And Structure In Rigid Multi-Surfaced Stationary Environments Using Time-Varying Image Velocity: Linear Solutions |
| motion | And Structure Of Four Points From One Motion Of A Stereo Rig With Unknown Extrinsic Parameters |
| motion | And Structure Of Four Points From One Motion Of A Stereo Rig With Unknown Extrinsic Parameters |
| motion | And Structure Of Four Points From One Motion Of A Stereo Rig With Unknown Extrinsic Parameters |
| motion | And Structure Of Four Points From One Motion Of A Stereo Rig With Unknown Extrinsic Parameters |
| motion | And Surface Recovery Using Curvature And Motion Consistency |
| motion | And Surface Recovery Using Curvature And Motion Consistency |
| motion | And Time-Varying Imagery |
| motion | And Time-Varying Imagery-An Overview |
| motion | Based Image Segmentation For Video Coding |
| motion | Based Segmentation |
| motion | Boundary Detection In Image Sequences By Local Stochastic Tests |
| motion | Characterization From Temporal Co-Occurrences Of Local Motion-Based Measures For Video Indexing |
| motion | Characterization From Temporal Co-Occurrences Of Local Motion-Based Measures For Video Indexing |
| motion | Characterization Of Unrigid Objects By Detecting And Tracking Feature Points |
| motion | Coherence Theory, The |
| motion | Compensated Image Coding With A Combined Maximum A Posteriori And Regression Algorithm |
| motion | Compensated Interframe Image Prediction |
| motion | Compensating Field Interpolation Using A Hierarchically Structured Displacement Estimator |
| motion | Computation And Interpretation Framework For Oceanographic Satellite Images, A |
| motion | Constraint Equation For Optical Flow, The |
| motion | Constraint Equation Under Space-Varying Or Time-Varying Illumination, A |
| motion | Constraint Equations Based On Constant Image Irradiance |
| motion | Constraint Patterns |
| motion | Constraint Patterns |
| motion | Detection And Estimation From Stereo Image Sequences: Some Preliminary Experimental Results |
| motion | Detection And Tracking Using Deformable Templates |
| motion | Detection Based On Temporal Multiscale Approach |
| motion | Detection In Image Sequences: An Evaluation Of Feature Detectors |
| motion | Detection In Radar Images |
| motion | Detection In Spatio-Temporal Space |
| motion | Detection In Spatio-Temporal Space |
| motion | Detection Robust To Perturbations: A Statistical Regularization And Temporal Integration Framework |
| motion | Detection System Based On A Cmos Photo Sensor Array, A |
| motion | Detection Using Background Constraints |
| motion | Detectors And Motion Segregation |
| motion | Detectors And Motion Segregation |
| motion | Determination In Space-Time Images |
| motion | Dynamics Of Snakes And Worms, The |
| motion | Estimation Algorithm Under Time-Varying Illumination, A |
| motion | Estimation And Segmentation |
| motion | Estimation And Segmentation By Fuzzy Clustering |
| motion | Estimation And Tracking For Urban Traffic Monitoring |
| motion | Estimation And Vector Splines |
| motion | Estimation Based On Modified Fourier Spectrum |
| motion | Estimation Based On Time-Sequentially Sampled Imagery |
| motion | Estimation From 3-D Point Sets With And Without Correspondences |
| motion | Estimation From A Sequence Of Stereo Images: A Direct Method |
| motion | Estimation From Points Without Correspondences From Orthographic Projections |
| motion | Estimation From Scaled Orthographic Projections Without Correspondences |
| motion | Estimation In Image Sequences Using The Deformation Of Apparent Contours |
| motion | Estimation Method Using A 3d Steerable Filter |
| motion | Estimation Methods And Noisy Phenomena |
| motion | Estimation Of Lips In Pronouncing Korean Vowels Based On Fuzzy Constraint Line Clustering |
| motion | Estimation Of Partially Viewed 3-D Objects Based On A Continuous Distance Transform Neural Network |
| motion | Estimation Of Two-Dimensional Objects Based On The Straight Line Hough Transform: A New Approach |
| motion | Estimation On The Essential Manifold |
| motion | Estimation Relaxing The Constancy Brightness Constraint |
| motion | Estimation Under Orthographic Projection |
| motion | Estimation Using Invariance Under Group Transformations |
| motion | Estimation Using Ordinal Measures |
| motion | Estimation Via Cluster Matching |
| motion | Estimation With More Than Two Frames |
| motion | Estimation With Quadtree Splines |
| motion | Estimation With Quadtree Splines |
| motion | Estimation: The Proper Formulation For When 3 Or 4 Frames Are Available |
| motion | Feature Detection Using Steerable Flow Fields |
| motion | Field And Optical Flow: Qualitative Properties |
| motion | Field Modeling For Video Sequences |
| motion | Field Of Curves: Applications |
| motion | Fields Are Hardly Ever Ambiguous |
| motion | From A Sequence Of Images |
| motion | From Color |
| motion | From Continuous Or Discontinuous Arrangements |
| motion | From Fixation |
| motion | From Fixation |
| motion | From Flow Along Contours: A Note On Robustness And Ambiguous Cases |
| motion | From Images: Image Matching, Parameter Estimation And Intrinsic Stability |
| motion | From Optic Flow: Multiplicity Of Solutions |
| motion | From Point Matches Using Affine Epipolar Geometry |
| motion | From Point Matches: Multiplicity Of Solutions |
| motion | From Point Matches: Multiplicity Of Solutions |
| motion | From The Frontier Of Curved Surfaces |
| motion | From Three Weak Perspective Images Using Image Rotation |
| motion | Graphics: Description And Control |
| motion | In Deformable Templates |
| motion | Indexing Of Video |
| motion | Interpolation By Optimal Control |
| motion | Model-Based Boundary Extraction And A Real-Time Implementation |
| motion | Modeling And Prediction |
| motion | Of A Short-Linked Robot Arm In A Square |
| motion | Of An Uncalibrated Stereo Rig: Self-Calibration And Metric Reconstruction |
| motion | Of An Uncalibrated Stereo Rig: Self-Calibration And Metric Reconstruction |
| motion | Of Disturbances: Detection And Tracking Of Multi-Body Non-Rigid Motion |
| motion | Of Disturbances: Detection And Tracking Of Multi-Body Non-Rigid Motion |
| motion | Of Nonrigid Objects From Multiframe Comparison |
| motion | Of Objects In Contact |
| motion | Of Points And Lines In The Uncalibrated Case |
| motion | Parameter Estimation From Global Flow Field Data |
| motion | Parameters From Right Angles |
| motion | Perceptibility And Its Application To Active Vision-Based Servo Control |
| motion | Perception Using Spatiotemporal Frequency Analysis |
| motion | Planning Amid Transient Obstacles |
| motion | Planning Among Time Dependent Obstacles |
| motion | Planning For Carlike Robots Using A Probabilistic Learning Approach |
| motion | Planning For Flexible Shapes (Systems With Many Degrees Of Freedom): A Survey |
| motion | Planning In A Plane Using Generalized Voronoi Diagrams |
| motion | Planning In Dynamic Environments, Springer |
| motion | Planning In Enivironments With Low Obstacle Density |
| motion | Planning In The Presence Of Movable Obstacles |
| motion | Planning In The Presence Of Moving Obstacles |
| motion | Planning In The Presence Of Moving Obstacles |
| motion | Planning Of Multi-Joint Robotic Arm With Topological Dimension Reduction Method |
| motion | Planning With Inertial Constraints |
| motion | Planning With Six Degrees Of Freedom By Multistrategic Bidirectional Heuristic Free-Space Enumeration |
| motion | Planning With Uncertainty: A Landmark Approach |
| motion | Prediction Of Moving Objects Based On Autoregressive Model |
| motion | Problem: A Decomposition-Based Solution, The |
| motion | Recovery From Image Sequences Using First-Order Optical Flow Information |
| motion | Recovery From Image Sequences Using Only First Order Optical Flow Information |
| motion | Recovery From Image Sequences: Discrete Viewpoint Vs. Differential Viewpoint |
| motion | Regularization For Model-Based Head Tracking |
| motion | Segmentation And Depth Ordering Based On Morphological Segmentation |
| motion | Segmentation And Estimation |
| motion | Segmentation And Estimation By Constraint Line Clustering |
| motion | Segmentation And Local Structure |
| motion | Segmentation And Qualitative Dynamic Scene Analysis From A Moving Camera |
| motion | Segmentation And Tracking Using Normalized Cuts |
| motion | Segmentation By Fuzzy Clustering With Automatic Determination Of The Number Of Motions |
| motion | Segmentation By Fuzzy Clustering With Automatic Determination Of The Number Of Motions |
| motion | Segmentation Using Convergence Properties |
| motion | Segmentation Using Singular Value Decomposition |
| motion | Stereo For Navigation Of Autonomous Vehicles In A Passageway |
| motion | Stereo For Navigation Of Autonomous Vehicles In Man-Made Environments |
| motion | Stereo For Navigation Of Autonomous Vehicles In Man-Made Environments |
| motion | Stereo System Based On Coarse-To-Fine Control Strategy, A |
| motion | Stereo Using Ego-Motion Complex Logarithmic Mapping |
| motion | Stereo Using Ego-Motion Complex Logarithmic Mapping |
| motion | Stereo Using Ego-Motion Complex Logarithmic Mapping |
| motion | Stereo Using Ego-Motion Complex Logarithmic Mapping |
| motion | Tracking Of Deformable Objects Based On Energy Minimization Using Multiscale Dynamic Programming |
| motion | Tracking Of Deformable Objects By Active Contour Models Using Multiscale Dynamic Programming |
| motion | Tracking On The Spatiotemporal Surface |
| motion | Tracking On The Spatiotemporal Surface |
| motion | Tracking With An Active Camera |
| motion | Trajectories |
| motion | Trajectories |
| motion | Understanding From Qualitative Visual Dynamics |
| motion | Understanding Meets Early Vision: An Introduction |
| motion | Understanding: Robot And Human Vision, Kluwer, Boston |
| motion | Vector Coding With Conditional Transmission |
| motion | Warping |
| motion | Without Movement |
| motion | Without Structure |
| motion | -Based Grouping Of Optical Flow Fields: The Extrapolation And Subtraction Technique |
| motion | -Based Object Segmentation And Estimation Using The Mdl Principle |
| motion | -Based Recognition Of Pedestrians |
| motion | -Based Recognition, Kluwer, Norwell |
| motion | -Based Recognition: A Survey |
| motion | -Based Segmentation By Means Of Active Contours |
| motion | -Based Segmentation Using A Thresholded Merging Strategy On Watershed Segments |
| motion | -Boundary Illusions And Their Regularization |
| motion | -Compensated Interframe Coding Scheme For Ntsc Color Television Signals, A |
| motion | -Model-Based Boundary Extraction |
| motion | -Vision Architectures |
| motion | : The Long And Short Of It |
| motion | : Representation And Perception (Toronto, Canada, April 4-6, 1983), North-Holland |
| motion | s And Pattern Analysis: Harmonic Analysis On Motion Groups And Their Homogeneous Spaces |
| motion | s And Pattern Analysis: Harmonic Analysis On Motion Groups And Their Homogeneous Spaces |
| Mrf Based | motion | Detection Algorithm Implemented On Analog Resistive Network, An |
| Mrf-Based | motion | Segmentation Exploiting A 2d Motion Model Robust Estimation |
| Mrf-Based | motion | Segmentation Exploiting A 2d Motion Model Robust Estimation |
| Multi-Body Factorization Method For | motion | Analysis, A |
| Multi-Body Factorization Method For | motion | Analysis, A |
| Multi-Frame Approach To Visual | motion | Perception, A |
| Multi-Frame Feature-Based | motion | Analysis |
| Multi-Image Matching For A General | motion | Stereo Camera Model |
| Multi-Level Dynamic Programming Method For Line Segment Matching In Axial | motion | Stereo, A |
| Multi-Scale Contour Matching In A | motion | Sequence |
| Multibody Grouping From | motion | Images |
| Multigrid Bayesian Estimation Of Image | motion | Fields Using Stochastic Relaxation |
| Multimodal | motion | Estimation And Segmentation Using Markov Random Fields |
| Multiple Frame Analysis Of Translation Dominant | motion | |
| Multiple Image Analysis At The Hebrew University: | motion | , Structure, And Recognition |
| Multiple Interpretations Of The Shape And | motion | Of Objects From Two Perspective Images |
| Multiple | motion | Detection Using Genetic Algorithms |
| Multiple | motion | s From Instantaneous Frequency |
| Multiresolution Frequency Domain Method For Estimating Affine | motion | Parameters, A |
| Multiresolution Image | motion | Detection And Displacement Estimation |
| Multiresolution | motion | Segmentation |
| Multiresolution Rough Terrain | motion | Planning, T-Ra 14, 1998, 19-33. 31525. A. Giachetti, M. Campani, And V. Torre, The Use Of Optical Flow For Road Navigation |
| Multivalued Distance Maps For | motion | Planning On Surfaces With Moving Obstacles |
| Natural Representation Of | motion | In Space-Time |
| Navigation Using Affine Structure From | motion | |
| Near-Quadratic Algorithm For Planning The | motion | Of A Polygon In A Polygonal Environment, A |
| Necessary And Sufficient Conditions For A Unique Solution Of Plane | motion | And Structure |
| Neural Computation Of Pattern | motion | -Modeling Stages Of Motion Analysis In The Primate Visual Cortex, Mit Press, Cambridge |
| Neural Computation Of Pattern | motion | -Modeling Stages Of Motion Analysis In The Primate Visual Cortex, Mit Press, Cambridge |
| Neural Computation Of Pattern | motion | -Modeling Stages Of Motion Analysis In The Primate Visual Cortex, Mit Press, Cambridge |
| Neural Computation Of Pattern | motion | -Modeling Stages Of Motion Analysis In The Primate Visual Cortex, Mit Press, Cambridge |
| Neural Networks In Human | motion | Tracking|An Experimental Study |
| Neural Structures For Visual | motion | Tracking |
| New Approach To The Restoration Of An Image Blurred By Linear Uniform | motion | , A |
| New Efficient | motion | -Planning Algorithm For A Rod In Polygonal Space, A |
| New Efficient | motion | -Planning Algorithm For A Rod In Two-Dimensional Polygonal Space, A |
| New Geometric Methods For Computer Vision: An Application To Structure And | motion | Estimation |
| New Image | motion | Estimation Algorithm Based On The Em Technique, A |
| New Linear Method For Euclidean | motion | /Structure From Three Calibrated Affine Views, A |
| New Mathematical Human Vision Model With An Autonomous Image Observing Mechanism And Its Application To Multiple | motion | Detection, A |
| New Method For Camera | motion | Parameter Estimation, A |
| New Method Of 3-D | motion | Analysis Using A Concept Of Projective Geometry, A |
| New Mrf Model For Robust Estimate Of Occlusion And | motion | Vector Fields, A |
| New Results Using An Integrated Model And Recursive Algorithm For Image | motion | Estimation |
| New Technique For Visual | motion | Alarm, A |
| New Visual Invariants For Obstacle Detection Using Optical Flow Induced From General | motion | |
| Noise Reduction In Image Sequences Using | motion | -Compensated Temporal Filtering |
| Non-)Rigid | motion | Interpretation: A Regularized Approach |
| Non-Linear Optimization Algorithm For The Estimation Of Structure And | motion | Parameters, A |
| Non-Rigid | motion | Analysis: Isometric Motion |
| Non-Rigid | motion | Analysis: Isometric Motion |
| Non-Rigid | motion | And Structure From Contour |
| Non-Rigid Parallax For 3d Linear | motion | |
| Nonholonomic | motion | Planning, Kluwer |
| Nonholonomic Multibody Mobile Robots: Controllability And | motion | Planning In The Presence Of Obstacles |
| Noniterative Correction Of Images And | motion | Sequences |
| Nonlinear Approach To The | motion | Correspondence Problem, A |
| Nonlinear | motion | Estimation Using The Supercoupling Approach |
| Nonrigid | motion | Analysis |
| Nonrigid | motion | Analysis Based On Dynamic Refinement Of Finite Element Models |
| Nonrigid | motion | Analysis: Articulated And Elastic Motion |
| Nonrigid | motion | Analysis: Articulated And Elastic Motion |
| Nonrigid | motion | And Regge Calculus |
| Nonuniform Image | motion | Estimation From Noisy Data |
| Nonuniform Image | motion | Estimation Using The Maximum A Posteriori Principle |
| Nonuniform | motion | Estimation In Reduced Coefficient Transformed Domains |
| Note On The Papadimitriou-Silverberg Algorithm For Planning Optimal Piecewise-Linear | motion | Of A Ladder, A |
| Note On ``Rigid Body | motion | From Depth And Optical Flow'', A |
| Novel Algorithm For Recovering The 3d | motion | s Of Multiple Moving Rigid Objects, A |
| Novel Approach To Real-Time | motion | Detection, A |
| Number Of Solutions For | motion | And Structure From Multiple Frame Correspondence |
| Object And | motion | Recognition Using The Plane Plus Parallax Displacement Of Conics |
| Object Based 3-D | motion | And Structure Estimation |
| Object Contour Extraction Using Color And | motion | |
| Object Detection And Tracking Using An Em-Based | motion | Estimation And Segmentation Framework |
| Object Detection Using Model Based Prediction And | motion | Parallax |
| Object | motion | And Structure Recovery For Robotic Vision Using Scanning Laser Range Sensors |
| Object Oriented | motion | Estimation In Color Image Sequences |
| Object-Based Estimation Of Dense | motion | Fields |
| Object-Based | motion | Computation |
| Objective Comparison Methodology Of Edge Detection Algorithms Using A Structure From | motion | Task, An |
| Objective Function For 3-D | motion | Estimation From Optical Flow With Lower Error Variance Than Maximum Likelihood Estimator, An |
| Obstacle Accommodation In | motion | Planning |
| Occam Algorithms For Computing Visual | motion | |
| Occam Algorithms For Computing Visual | motion | |
| Occlusion Adaptive | motion | Snake |
| Occlusion Ambiguities In | motion | |
| Octree Representation Of Objects In Arbitrary | motion | |
| Octrees Of Objects In Arbitrary | motion | : Representation And Efficiency |
| On Combining Points And Lines In An Image Sequence To Recover 3d Structure And | motion | |
| On Computing All Solutions To The | motion | Estimation Problem With Exact Or Noisy Data |
| On Div-Curl Regularization For | motion | Estimation In 3d Volumetric Imaging |
| On Estimating 3-D Incompressible | motion | |
| On Estimating A Robot'S | motion | From Laser Range Measurements Using The Distance Transform |
| On Kineopsis And Computation Of Structure And | motion | |
| On | motion | Planning In Changing, Partially Predictable Environments |
| On Point Location And | motion | Planning Among Simplices |
| On Synthesizing Discrete Fractional Brownian | motion | With Applications To Image Processing |
| On The Complexity Of | motion | Planning For Multiple Independent Objects; Pspace-Hardness Of The ``Warehouseman'S Problem'' |
| On The Complexity Of Reachability And | motion | Planning Questions |
| On The Computation Of | motion | From Sequences Of Images-A Review |
| On The Convergence Of The Generalized Maximum Likelihood Algorithm For Nonuniform Image | motion | Estimation |
| On The Deformation Of Image Intensity And Zero-Crossing Contours Under | motion | |
| On The Detection Of | motion | And The Computation Of Optical Flow |
| On The Estimation Of Depth From | motion | Using An Anthropomorphic Visual Sensor |
| On The General | motion | Planning Problem With Two Degrees Of Freedom |
| On The General | motion | -Planning Problem With Two Degrees Of Freedom |
| On The | motion | Of 3d Curves And Its Relationship To Optical Flow |
| On The Optimization Criteria Used In Two-View | motion | Analysis |
| On The Representation Of The Projected | motion | Group In 2+1d |
| On The Union Of Jordan Regions And Collision-Free Translational | motion | Amidst Polygonal Obstacles |
| On The Uniqueness Of Image Flow Solutions For Planar Surfaces In | motion | |
| On The Use Of | motion | Concepts For Top-Down Control In Traffic Scenes |
| On Translational | motion | Planning Of A Convex Polyhedron In 3-Space |
| On Visual Ambiguities Due To Transparency In | motion | And Stereo |
| Optic Flow Field Segmentation And | motion | Estimation Using A Robust Genetic Partitioning Algorithm |
| Optical Flow Estimation Using Wavelet | motion | Model |
| Optical Flow Using Overlapped Basis Functions For Solving Global | motion | Problems |
| Optimal Brightness Functions For Optical Flow Estimation Of Deformable | motion | |
| Optimal Computing Of Structure From | motion | Using Point Correspondences In Two Frames |
| Optimal Mesh Algorithms For The Voronoi Diagram Of Line Segments And | motion | Planning In The Plane |
| Optimal | motion | And Structure Estimation |
| Optimal | motion | And Structure Estimation |
| Optimal | motion | Estimation |
| Optimal | motion | Planning For Multiple Robots Having Independent Goals |
| Optimal Piecewise Linear | motion | Of An Object Among Obstacles |
| Optimal Schemes For | motion | Estimation Using Colour Image Sequences |
| Optimal Structure From | motion | : Local Ambiguities And Global Estimates |
| Optimal Visual | motion | Estimation: A Note |
| Optimization Framework For Efficient Self-Calibration And | motion | Determination, An |
| P-Field: A Computational Model For Binocular | motion | Processing, The |
| Parallel Dense Depth From | motion | On An Image Understanding Architecture |
| Parallel Dense Depth From | motion | On The Image Understanding Architecture |
| Parallel Implementation And Evaluation Of A | motion | Estimation System Algorithm Using Several Data Decomposition Strategies |
| Parallel Implementation And Evaluation Of | motion | Estimation System Algorithms On A Distributed Memory Multiprocessor Using Knowledge Based Mappings |
| Parallel Implementation Of A Structure-From- | motion | Algorithm, A |
| Parallel | motion | Algorithm Consistent With Psychophysics And Physiology, A |
| Parallel Visual | motion | Analysis Using Multiscale Markov Random Fields |
| Parametric Block Estimation Of | motion | And Application To Temporal Interpolation Of Video Sequences |
| Parametrized Structure From | motion | For 3d Adaptive Feedback Tracking Of Faces |
| Paraperspective Factorization Method For Shape And | motion | Recovery, A |
| Paraperspective Factorization Method For Shape And | motion | Recovery, A |
| Paraperspective Factorization Method For Shape And | motion | Recovery, A |
| Partial Implementation Of The Fixation Method On Real Images: Direct Recovery Of | motion | And Shape In The General Case |
| Path Entropies Of Brightness Functions And Fractional Brownian | motion | s |
| Pel-Recursive | motion | Field Estimation From Image Sequences |
| Perceiving Structure From | motion | : Failure Of Shape Constancy |
| Perception Of Non-Rigid | motion | : Inference Of Shape, Material And Force |
| Perception Of Structure From | motion | : I: Optic Flow Vs. Discrete Displacements. Ii: Lower Bound Results. |
| Perception With An Eye For | motion | , Mit Press, Cambridge |
| Performance Analysis Of Total Least Squares Methods In Three-Dimensional | motion | Estimation |
| Performance Bounds For Estimating Three-Dimensional | motion | Parameters From A Sequence Of Noisy Images |
| Photometric | motion | |
| Photometric | motion | |
| Pictures And Trails: A New Framework For The Computation Of Shape And | motion | From Perspective Image Sequences |
| Planar | motion | Detection By Randomized Triangle Matching |
| Planar | motion | Estimation With A Fast Converging Algorithm |
| Planar Region Detection And | motion | Recovery |
| Planning A Purely Translational | motion | For A Convex Object In A Two Dimensional Space Using Generalized Voronoi Diagrams |
| Planning A Time-Minimal | motion | Among Moving Obstacles |
| Planning Collision-Free | motion | s For Pick-And-Place Operations |
| Planning Compliant | motion | Strategies |
| Planning The | motion | Of A Mobile Robot In A Sensory Uncertainty Field |
| Planning, Geometry, And Complexity Of Robot | motion | , Ablex, Norwood |
| Point Correspondence And | motion | Detection In Long Image Sequences |
| Point Correspondence In Unstructured Nonrigid | motion | |
| Point Correspondence Recovery In Non-Rigid | motion | |
| Pointwise Tracking Of Left-Ventricular | motion | In 3d |
| Polygon-Based Post-Process | motion | Blur |
| Polynomial Methods For Structure From | motion | |
| Polynomial Methods For Structure From | motion | |
| Polynomial Time Collision Detection For Manipulation Paths Specified By Joint | motion | s |
| Precision Of 3-D Parameters In Correspondence-Based Techniques: The Case Of Uniform Translational | motion | In A Rigid Environment, The |
| Predictive Coding Based On Efficient | motion | Estimation |
| Preliminary Investigation Of The Problem Of Determining Ego- And Object | motion | s From Stereo, A |
| Principle Of Superposition: A Common Computational Framework For Analysis Of Multiple | motion | |
| Proceedings Of The Ieee Workshop On | motion | Of Nonrigid And Articulated Objects (Austin, Tx, November 11-12, 1994), Ieee Computer Society Press, Los Alamitos |
| Proceedings, Workshop On Visual | motion | , Irvine, Ca |
| Proceedings-Workshop On | motion | : Representation And Analysis (Charleston, Sc, May 7-9 |
| Projection Center Calibration By | motion | |
| Projective Invariant And Structure From Two Perspective/Orthographic Views: | motion | And Recognition |
| Projective Structure From Uncalibrated Images: Structure From | motion | And Recognition |
| Properties Of Space-Time Sampling And The Extraction Of The Optical Flow: The Effects Of | motion | Uncertainty, The |
| Proximity Sensing In Robot Manipulator | motion | Planning: System And Implementation Issues |
| Qualitative Constraints For Structure-From- | motion | |
| Qualitative Description Of Camera | motion | From Histograms Of Normal Flow |
| Qualitative Detection Of | motion | By A Moving Observer |
| Qualitative Detection Of | motion | By A Moving Observer |
| Qualitative Detection Of | motion | By A Moving Observer |
| Qualitative Estimation Of Camera | motion | Parameters From Video Sequences |
| Qualitative Estimations Of Range And | motion | Using Spatio-Temporal Textural Images |
| Qualitative | motion | Analysis Using A Spatio-Temporal Approach |
| Qualitative | motion | Detection And Tracking Of Targets From A Mobile Platform |
| Qualitative | motion | Understanding |
| Qualitative | motion | Understanding, Kluwer |
| Qualitative Recognition Of | motion | Using Temporal Texture |
| Qualitative Target | motion | Detection And Tracking |
| Quantization Errors In Axial | motion | Stereo On Rectangular-Tessellated Image Sensors |
| Randomized Hough Transform Applied To Translational And Rotational | motion | Analysis |
| Randomized Polygon Search For Planar | motion | Detection |
| Range From Translational | motion | Blurring |
| Reactions To Peripheral Image | motion | Using A Head/Eye Platform |
| Real-Time Corner Detection Algorithm For | motion | Estimation |
| Real-Time Human | motion | Analysis By Image Skeletonization |
| Real-Time Implementations Of An Mrf-Based | motion | Detection Algorithm |
| Real-Time | motion | Stereo |
| Real-Time | motion | Stereo On Sfu Pyramid |
| Real-Time | motion | Tracking Using Spatio-Temporal Filters |
| Real-Time Robot | motion | Planning Using Rasterizing Computer Graphics Hardware |
| Real-Time Traffic Control Scheme Of Multiple Agv Systems For Collision-Free Minimum Time | motion | : A Routing Table Approach, A |
| Real-Time Vlsi-Based Architecture For Multi- | motion | Estimation, A |
| Realistic Image Synthesis Of A Deformable Living Thing Based On | motion | Understanding |
| Realtime Stereo And | motion | Integration For Navigation |
| Recognition Of Human Body | motion | Using Phase Space Constraints |
| Recognition Of | motion | From Temporal Texture |
| Recognition Of Nonrigid | motion | |
| Recognition Of Sign Language | motion | Images |
| Recognition Using | motion | And Shape |
| Recognizing Animal | motion | |
| Recognizing Facial Expressions In Image Sequences Using Local Parameterized Models Of Image | motion | |
| Reconstructing The Optic Flow Field From Edge | motion | : An Examination Of Two Different Approaches |
| Reconstructing The Third Dimension: Interactions Between Color, Texture, | motion | , Binocular Disparity, And Shape |
| Reconstruction Of 3d Models From Specular | motion | Using Circular Lights |
| Recovering 3-D | motion | Parameters From Image Sequences With Gross Errors |
| Recovering 3-D | motion | Parameters From Optical Flow Field Using Randomized Hough Transform |
| Recovering 3-D Translational | motion | And Establishing Stereo Correspondence From Binocular Image Flows |
| Recovering 3d | motion | And Structure From Stereo And 2d Token Tracking Cooperation |
| Recovering 3d | motion | And Structure Of Multiple Objects Using Adaptive Hough Transform |
| Recovering 3d | motion | Of Multiple Objects Using Adaptive Hough Transform |
| Recovering 3d Rigid | motion | s Without Correspondence |
| Recovering 3d Shape And | motion | From Image Streams Using Non-Linear Least Squares |
| Recovering 3d Shape And | motion | From Image Streams Using Nonlinear Least Squares |
| Recovering Affine | motion | And Defocus Blur Simultaneously |
| Recovering Affine | motion | And Defocus Blur Simultaneously |
| Recovering | motion | And Structure From A Set Of Planar Patches In An Uncalibrated Image Sequence |
| Recovering | motion | Parameters From A 2d Range Image Sequence |
| Recovering The Three-Dimensional | motion | And Structure Of Multiple Moving Objects From Binocular Image Flows |
| Recovery Of 3d | motion | Of A Single Particle |
| Recovery Of Depth Information: Camera | motion | As An Integration To Stereo |
| Recovery Of Ego- | motion | Using Image Stabilization |
| Recovery Of Ego- | motion | Using Region Alignment |
| Recovery Of Global Nonrigid | motion | --A Model Based Approach Without Point Correspondences |
| Recovery Of Non-Rigid | motion | And Structure |
| Recovery Of Non-Rigid | motion | From Stereo Images, The |
| Recovery Of Nonrigid | motion | And Structure |
| Recovery Of The 3-D Location And | motion | Of A Rigid Object Through Camera Image (An Extended Kalman Filter Approach) |
| Recursive 3-D Visual | motion | Estimation Using Subspace Constraints |
| Recursive Affine Structure And | motion | From Image Sequences |
| Recursive And/Or Iterative Estimation Of The Two-Dimensional Velocity Field And Reconstruction Of Three-Dimensional | motion | |
| Recursive Estimation Of Camera | motion | From Uncalibrated Image Sequences |
| Recursive Estimation Of Illuminant | motion | From Flow Field |
| Recursive Estimation Of Illuminant | motion | From Flow Field And Simultaneous Recovery Of Shape |
| Recursive Estimation Of | motion | Parameters |
| Recursive Estimation Of | motion | , Structure, And Focal Length |
| Recursive Estimation Of Shape And Nonrigid | motion | |
| Recursive Estimation Of Structure And | motion | Using Relative Orientation Constraints |
| Recursive Estimation Of Time-Varying | motion | And Structure Parameters |
| Recursive Image Registration With Application To | motion | Estimation |
| Recursive | motion | And Structure Estimation With Complete Error Characterization |
| Recursive Multi-Frame Structure From | motion | Incorporating Motion Error |
| Recursive Multi-Frame Structure From | motion | Incorporating Motion Error |
| Recursive Resolving Algorithm For Multiple Stereo And | motion | Matches |
| Recursive Structure And | motion | Fromimage Sequences Using Shape And Depth Spaces |
| Recursive Total Least Squares Algorithm For 3-D Camera | motion | Estimation From Image Sequences |
| Recursive-Batch Estimation Of | motion | And Structure From Monocular Image Sequences |
| Red-Blue Intersection Detection Algorithms, With Applications To | motion | Planning And Collision Detection |
| Reducing Multiple Object | motion | Planning To Graph Searching |
| Reducing Structure From | motion | : A General Framework For Dynamic Vision. Part 1: Modeling. Part 2: Implementation And Experimental Assessment, T-Pami 20, 1998 |
| Reducing ``Structure From | motion | '' |
| Refinement Of Noisy Correspondence Using Feedback From 3-D | motion | |
| Refinement Of Noisy Correspondence Using Feedback From 3-D | motion | |
| Refinement Of Optical Flow Estimation And Detection Of | motion | Edges |
| Region Based Approach For Human Body | motion | Analysis, A |
| Region Matching | motion | Estimation Algorithm, A |
| Region-Based Parametric | motion | Segmentation Using Color Information |
| Region-Based Tracking Using Affine | motion | Models In Long Image Sequences |
| Region-Level Graph Labeling Approach To | motion | -Based Segmentation, A |
| Regularities Of Nature: The Interpretation Of Visual | motion | |
| Regularized | motion | Estimation Using Robust Entropic Functionals |
| Relative Depth From | motion | Using Normal Flow: An Active And Purposive Solution |
| Relative | motion | And Pose From Arbitrary Plane Curves |
| Relative | motion | Parallax And The Perception Of Structure From Motion |
| Relative | motion | Parallax And The Perception Of Structure From Motion |
| Reliable Extraction Of The Camera | motion | Using Constraints On The Epipole |
| Representation Of Deformable Object Structure And | motion | For Autonomous Manipulation Using Relative Elasticity |
| Representing Local | motion | As A Probabilitydistribution Matrix And Object Tracking |
| Representing | motion | Through Chronogeneous Transformations |
| Results Of | motion | Estimation With More Than Two Frames |
| Reusable | motion | Synthesis Using State-Space Controllers |
| Review Of Statistical Data Association Techniques For | motion | Correspondence, A |
| Ribbon-Based | motion | Analysis Of Human Body Movements |
| Rigid Body | motion | And The Optic Flow Image |
| Rigid Body | motion | From Range Image Sequences |
| Rigid | motion | And Structure From Several Sets Of Parallel Lines In A Monocular Image Sequence |
| Rigid Registration Of 3-D Objects By | motion | Analysis |
| Rigidity And Smoothness Of | motion | : Justifying The Smoothness Assumption In Motion Measurement |
| Rigidity And Smoothness Of | motion | : Justifying The Smoothness Assumption In Motion Measurement |
| Rigorous Bounds For Two-Frame Structure From | motion | |
| Risk-Sensitive Filters For Recursive Estimation Of | motion | From Images |
| Robot | motion | Planning On N -Dimensional Star Worlds Among Moving Obstacles |
| Robot | motion | Planning With Uncertainty In Control And Sensing |
| Robot | motion | Planning, Kluwer, Norwell |
| Robot | motion | Planning: A Distributed Representation Approach |
| Robust Algorithms For | motion | Estimation Based On Two Sequential Stereo Image Pairs |
| Robust Dynamic | motion | Estimation Over Time |
| Robust Ego | motion | Estimation From Affine Motion Parallax |
| Robust Estimation Of 3-D | motion | Parameters From A Sequence Of Image Frames Using Regularization |
| Robust Estimation Of A Multi-Layered | motion | Representation |
| Robust Estimation Of | motion | Vector Fields With Discontinuity And Occlusion Using Local Outliers Rejection |
| Robust Estimation Of Multiple | motion | s: Parametric And Piecewise-Smooth Flow Fields, The |
| Robust Estimation Of Three-Dimensional | motion | Parameters From A Sequence Of Image Frames Using Regularization |
| Robust Method For Detecting Image Features With Application To Face Recognition And | motion | Correspondence, A |
| Robust Model-Based | motion | Tracking Through The Integration Of Search And Estimation |
| Robust | motion | Analysis |
| Robust Multiresolution Estimation Of Parametric | motion | Models |
| Robust Real-Time | motion | Analysis |
| Robust Recovery Of | motion | : Effects Of Surface Orientation And Field Of View |
| Robust Regression For The Detection Of Independent 3d | motion | By A Binocular Observer |
| Robust Reweighted Map | motion | Estimation |
| Robust Structure From | motion | Using Motion Parallax |
| Robust Structure From | motion | Using Motion Parallax |
| Robust Techniques For The Estimation Of Structure From | motion | In The Uncalibrated Case |
| Robust Tracking Of 3d | motion | , A |
| Robust Video | motion | Detection And Event Recognition, Iuw, 51-54. 67. C.R. Dyer, Image-Based Scene Rendering And Manipulation Research At The University Of Wisconsin |
| Robustness Of Correspondence-Based Structure From | motion | |
| Robustness Of Correspondence-Based Structure From | motion | |
| Robustness Of Structure From Binocular Known | motion | |
| Role Of Fixation In Visual | motion | Anaylsis, The |
| Role Of Total Least Squares In | motion | Anaysis, The |
| Rolling | motion | Estimation For Mobile Robot By Using Omnidirectional Image Sensor Hyperomnivision |
| Rotational Wavelet Transforms For | motion | Analysis, Estimation And Tracking |
| Sam-Animation Software For Simulating Articulated | motion | |
| Sandros: A Dynamic Graph Search Algorithm For | motion | Planning |
| Scene Segmentation From 3d | motion | |
| Scene Segmentation From Visual | motion | Using Global Optimization |
| Scope Of | motion | Research: From Image Intensity To Semantic Abstractions, The |
| Screw | motion | Approach To Uniqueness Analysis Of Head-Eye Geometry, A |
| Search Algorithm For | motion | Planning With Six Degrees Of Freedom, A |
| Second-Order | motion | Perception: Space/Time Separable Mechanisms |
| Segmentation And 2d | motion | Estimation By Region Fragments |
| Segmentation And Estimation Of Image | motion | By A Robust Method |
| Segmentation And Factorization-Based | motion | And Structure Estimation For Long Image Sequences |
| Segmentation Method Based On | motion | From Image Sequence And Depth, A |
| Segmentation Of Moving Objects By Robust | motion | Parameter Estimation Over Multiple Frames |
| Segmentation Of People In | motion | |
| Segmentation Of Visual | motion | By Minimizing Convex Non-Quadratic Functionals |
| Segmentation, Matching And Estimation Of Structure And | motion | Of Textured Piecewise Planar Surfaces |
| Self Calibration Of | motion | And Stereo Vision For Mobile Robot Navigation |
| Self-Calibration And Euclidean Reconstruction Using | motion | s Of A Stereo Rig |
| Self-Calibration Of A Stereo-Camera By Pure Translational | motion | |
| Semantic Video Object Segmentation And Tracking Using Mathematical Morphology And Perspective | motion | Model |
| Sensitivity Of | motion | And Structure Computations, The |
| Sensory-Based | motion | Planning With Global Proofs |
| Sequential Algorithm For | motion | Estimation From Point Correspondences With Intermittent Occlusions, A |
| Sequential Factorization Method For Recovering Shape And | motion | From Image Streams, A |
| Sequential Factorization Method For Recovering Shape And | motion | From Image Streams, A |
| Sequential Updating Of Projective And Affine Structure From | motion | |
| Shape Ambiguities In Structure From | motion | |
| Shape Ambiguities In Structure From | motion | |
| Shape And 3-D | motion | From Contour Without Point To Point Correspondences: General Principles |
| Shape And Model From Specular | motion | |
| Shape And | motion | Engine For Parameterized Models, A |
| Shape And | motion | From Image Streams Under Orthography: A Factorization Method |
| Shape And | motion | From Linear Features |
| Shape And | motion | Of 3-D Curves From Multi-View Image Sequences |
| Shape And | motion | Of Nonrigid Bodies |
| Shape And | motion | Without Depth |
| Shape And | motion | Without Depth |
| Shape And Non-Rigid | motion | Estimation Through Physics-Based Synthesis |
| Shape From | motion | Algorithms: A Comparative Analysis Of Scaled Orthography And Perspective |
| Silhouette-Based Structure And | motion | Estimation Of A Smooth Object |
| Simple Feedforward Neural Network Architecture For Three-Dimensional | motion | And Structure Estimation, A |
| Simple Method For Computing 3d | motion | And Depth |
| Simple | motion | Planning Algorithm For General Robot Manipulators, A |
| Simple | motion | -Planning Algorithm For General Robot Manipulators, A |
| Simple Procedure To Solve | motion | And Structure From Three Orthographic Views, A |
| Simple Scheme For | motion | Boundary Detection, A |
| Simplification To Linear Two-View | motion | Algorithms, A |
| Simplified Linear Optic Flow- | motion | Algorithm, A |
| Simplifying | motion | And Structure Analysis Using Planar Parallax And Image Warping |
| Simultaneous Estimation Of 3d Shape And | motion | Of Objects By Computer Vision |
| Simultaneous | motion | Estimation And Segmentation |
| Simultaneous | motion | -Disparity Estimation And Segmentation From Stereo |
| Singularities Of The Visual | motion | Field: 3d Rotation Or 3d Translation |
| Smooth Interpolation Of Rotational | motion | s |
| Smoothness In Layers: | motion | Segmentation Estimation Using Nonparametric Mixture |
| Snakes And Splines For Tracking Non-Rigid Heart | motion | |
| Solution And Uniqueness Of Image Flow Equations For Rigid Curved Surfaces In | motion | |
| Solving The Orientation-Duality Problem For A Circular Feature In | motion | |
| Solving Three-Dimensional Small-Rotation | motion | Equations: Uniqueness, Algorithms, And Numerical Results |
| Some Experiments On Estimating The 3-D | motion | Parameters Of A Rigid Body From Two Consecutive Image Frames |
| Some Experiments On The Detection Of Three-Dimensional | motion | Of Rigid Objects In Blocks World |
| Some Properties Of The E Matrix In Two-View | motion | Estimation |
| Space-Time Sampling With | motion | Uncertainty: Constraints On Space-Time Filtering |
| Spatially-Adaptive Regularized Pel-Recursive | motion | Estimation Based On Cross-Validation |
| Spatio-Temporal Approach For Time-Varying Image | motion | Estimation |
| Spatio-Temporal Continuous Wavelet Transforms For | motion | -Based Segmentation In Real Image Sequences |
| Spatio-Temporal Filters For Transparent | motion | Segmentation |
| Spatio-Temporal Moments And Generalized Spectral Analysis Of Divergent Images For | motion | Estimation |
| Spatio-Temporal Segmentation Based On | motion | And Static Segmentation |
| Spatiotemporal Approach For Time-Varying Global Image | motion | Estimation |
| Spatiotemporal Junction Analysis For | motion | Boundary Detection |
| Spatiotemporal | motion | Model For Video Summarization, A |
| Special Issue On Robot | motion | Planning |
| Standards Conversion Using | motion | Compensation |
| Statistical Analysis Of Inherent Ambiguities In Recovering 3-D | motion | From A Noisy Flow Field |
| Statistical Analysis Of Inherent Ambiguities In Recovering 3-D | motion | From A Noisy Flow Field |
| Statistical Approach To Classification Of Flow Patterns For | motion | Detection |
| Statistical Model-Based Estimation And Tracking Of Non-Rigid | motion | |
| Statistical Model-Based Segmentation Of Deformable | motion | |
| Stereo And | motion | Matching: A Hough-Transform Inspired Method |
| Stereo- | motion | That Complements Stereo And Motion Analyses |
| Stereo- | motion | That Complements Stereo And Motion Analyses |
| Stereo/ | motion | Cues In Pre-Attentive Vision Processing: Some Experiments With Random-Dot Stereographic Image Sequences |
| Stereoscopic Tracking Of Bodies In | motion | |
| Stochastic | motion | Clustering |
| Strength Guided | motion | |
| Structural | motion | Segmentation Based On Probabilistic Clustering |
| Structure And | motion | Estimation From Dynamic Silhouettes Under Perspective Projection |
| Structure And | motion | From A Sparse Set Of Views |
| Structure And | motion | From A Sparse Set Of Views |
| Structure And | motion | From Images |
| Structure And | motion | From Images: Fact And Fiction |
| Structure And | motion | From Line Segments In Multiple Images |
| Structure And | motion | From Optical Flow Under Orthographic Projection |
| Structure And | motion | From Optical Flow Under Perspective Projection |
| Structure And | motion | From Points, Lines And Conics With Affine Cameras |
| Structure And | motion | From Region Corrspondences And Affine Invariants |
| Structure And | motion | From Two Perspective Views Via Planar Patch |
| Structure And | motion | From Uniform 3d Acceleration |
| Structure And | motion | In Two Dimensions From Multiple Images: A Least Squares Approach |
| Structure And | motion | Of A Rigid Object Having Unknown Constant Motion |
| Structure And | motion | Of A Rigid Object Having Unknown Constant Motion |
| Structure And | motion | Of Curved 3d Objects From Monocular Silhouettes |
| Structure And Semi-Fluid | motion | Analysis Of Stereoscopic Satellite Images For Cloud Tracking |
| Structure From Chronogeneous | motion | : A Summary |
| Structure From Controlled | motion | |
| Structure From Limited | motion | Of Complex Rigid Objects |
| Structure From Linear Or Planar | motion | s |
| Structure From | motion | Using An Active Vision Paradigm |
| Structure From | motion | Using Line Correspondences |
| Structure From | motion | Using The Ground Plane Constraint |
| Structure From | motion | Using The Reconstruction And Reprojection Technique |
| Structure From | motion | Without Correspondence: General Principle |
| Structure From | motion | Without Correspondence: General Principle |
| Structure From | motion | , Acceleration And Taylor Series |
| Structure From | motion | -A Critical Analysis Of Methods |
| Structure From | motion | : An Alternative Approach |
| Structure Of The Human | motion | Detection System, The |
| Structure-From- | motion | By Tracking Occlusion Boundaries |
| Structure-From- | motion | Under Orthographic Projection |
| Structure-From- | motion | Under Orthographic Projection |
| Structure-From- | motion | Without The Rigidity Assumption |
| Subspace Methods For Recovering Rigid | motion | I: Algorithm And Implementation |
| Sufficient Conditions For Double Or Unique Solution Of | motion | And Structure |
| Sufficient Image Structure For 3-D | motion | And Shape Estimation |
| Surface And | motion | Estimation From Sparse Range Data |
| Surface Correspondence And | motion | Computation From A Pair Of Range Images |
| Surface Recovery From Range Images Using Curvature And | motion | Consistency |
| Surface Shape Reconstruction Of A Nonrigid Transparent Object Using Refraction And | motion | |
| Surface Structure And Three-Dimensional | motion | From Image Flow Kinematics |
| Surveillance System Combining Peripheral And Foveated | motion | Tracking, A |
| Survey Of | motion | Analysis From Moving Light Displays, A |
| Survey Of | motion | Planning And Related Geometric Algorithms, A |
| Svd Approach To Multi-Camera-Multi-Target 3-D | motion | -Shape Analysis, An |
| Task-Level Planning Of Pick-And-Place Robot | motion | s |
| Technique For | motion | Specification In Computer Animation, A |
| Temporal Analysis Of | motion | In Video Sequences Through Predictive Operators |
| Temporal Edges: The Detection Of | motion | And The Computation Of Optical Flow |
| Temporal Multi-Scale Models For Image | motion | Estimation |
| Testing Computational Theories Of | motion | Discontinuities: A Psychophysical Study |
| Texture, Contour, Shape, And | motion | |
| Theory Of Reconstruction From Image | motion | , Springer |
| Theory Of The | motion | Fields Of Curves, A |
| Theory On Optical Velocity Fields And Ambiguous | motion | Of Curves, A |
| Theory On The Determination Of 3d | motion | And 3d Structure From Features, A |
| Three-Dimensional Computer Animation: More An Evolution Than A | motion | Problem |
| Three-Dimensional | motion | Compensation And Object Segmentation In A Long Sequence Of Stereo Frames |
| Three-Dimensional | motion | Determination From Real Scenes Using Straight Line Correspondences |
| Three-Frame Algorithm For Estimating Two-Component Image | motion | , A |
| Time Recursive | motion | Estimation Using Dynamical Models For Motion Prediction |
| Time Recursive | motion | Estimation Using Dynamical Models For Motion Prediction |
| Time-Optimal | motion | Of Two Omnidirectional Robots Carrying A Ladder Under A Velocity Constraint |
| Time-To-Collision From First-Order Models Of The | motion | Field |
| Time-To-X: Analysis Of | motion | Through Temporal Parameters |
| Time-Varying | motion | Estimation Using Orthogonal Polynomials And Applications |
| Total Least Squares 3-D | motion | Estimation |
| Toward A Robust Parametric Identification Of | motion | On Regions Of Arbitrary Shape By Non-Linear Optimization |
| Toward Automatic | motion | Control |
| Toward Automatic Robot Instruction From Perception--Temporal Segmentation Of Tasks From Human Hand | motion | |
| Toward Structure From | motion | For Linear Features Through Reference Points |
| Towards A Theory Of Apparent Visual | motion | |
| Tracing Finite | motion | s Without Correspondence |
| Tracing Planar Surface | motion | From A Projection Without Knowing The Correspondence |
| Tracking And | motion | Estimation Of (The) Articulated Object[S]: A Hierarchical Kalman Filter Approach |
| Tracking And Recognizing Rigid And Non-Rigid Facial | motion | s Using Local Parametric Models Of Image Motion |
| Tracking And Recognizing Rigid And Non-Rigid Facial | motion | s Using Local Parametric Models Of Image Motion |
| Tracking And Synthesizing Facial | motion | s With Dynamic Contours |
| Tracking Closed Contours Exhibiting Repeating | motion | |
| Tracking Facilitates 3-D | motion | Estimation |
| Tracking Human Body | motion | Based On A Stick Figure Model |
| Tracking Human | motion | In An Indoor Environment |
| Tracking Human | motion | Using Multiple Cameras |
| Tracking | motion | And Intensity Variations Using Hierarchical 2-D Mesh Modeling For Synthetic Object Transfiguration |
| Tracking Object | motion | Across Aspect Changes For Augmented Reality |
| Tracking Of Nonrigid | motion | And 3d Structure From 2d Image Sequences Without Correspondences |
| Trajectory Primal Sketch: A Multi-Scale Scheme For Representing | motion | Characteristics, The |
| Transitory Image Sequences, Asymptotic Properties, And Estimation Of | motion | And Structure |
| Transparent- | motion | Analysis |
| Two View | motion | Analysis |
| Two-And-A-Half-D | motion | Blur Algorithm, A |
| Two-Stage Algorithm For | motion | Discontinuity-Preserving Optical Flow Estimation, A |
| Two-Step Approach To Optimal | motion | And Structure Estimation, A |
| Unbiased Estimation And Statistical Analysis Of 3-D Rigid | motion | From Two Views |
| Understanding Human | motion | Patterns |
| Understanding Noise: The Critical Role Of | motion | Error In Scene Reconstruction |
| Understanding Noise: The Critical Role Of | motion | Error In Scene Reconstruction |
| Understanding Object | motion | |
| Understanding Object | motion | |
| Understanding The Relationship Between The Optimization Criteria In Two-View | motion | Analysis |
| Unified Approach For Robot | motion | Planning With Moving Polyhedral Obstacles, A |
| Unified Computational Theory For | motion | Transparency And Motion Boundaries Based On Eigenenergy Analysis, A |
| Unified Computational Theory For | motion | Transparency And Motion Boundaries Based On Eigenenergy Analysis, 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 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 Perspective On Computational Techniques For The Measurement Of Visual | motion | , A |
| Unified Theory Of Structure From | motion | , A |
| Unifying Framework For Structure And | motion | Recovery From Image Sequences, A |
| Unique Recovery Of | motion | And Optic Flow Via Lie Algebras |
| 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 Of Solutions To Structure And | motion | From Combinations Of Point And Line Correspondences |
| Use Of Hybrid Models To Recover Cardiac Wall | motion | In Tagged Mr Images, The |
| Use Of Optical Flow For The Analysis Of Non-Rigid | motion | s, The |
| Using Backprojections For Fine | motion | Planning With Uncertainty |
| Using Camera | motion | To Estimate Range For Robotic Parts Manipulation |
| Using Collineations To Compute | motion | And Structure |
| Using Depth-Is-Positive Constraint To Recover Translational | motion | |
| Using Moments To Acquire The | motion | Parameters Of A Deformable Object Without Correspondences |
| 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 |
| Utilizing Gradient Vector Distributions To Recover | motion | Parameters |
| Vehicle-Type | motion | Estimation By The Fusion Of Image Point And Line Features |
| Vehicle-Type | motion | Estimation From Multi-Frame Images |
| Vehicle-Type | motion | Modeling And Analysis |
| Velocity Selective Spatio-Temporal Filters For | motion | Analysis In Image Sequence |
| Vibration Modes For Nonrigid | motion | Analysis In 3d Images |
| Video Annotation By | motion | Interpretation Using Optical Flow Streams |
| Video Browsing Using Edges And | motion | |
| Video Object Plane Segmentation Using A Morphological | motion | Filter And Hausdorff Object Tracking |
| Video Object Segmentation Introducing Depth And | motion | Information |
| Video Partitioning And Camera | motion | Characterization For Content-Based Video Indexing |
| View-Based Detection And Analysis Of Periodic | motion | |
| View-Based Detection And Analysis Of Periodic | motion | |
| View-Invariant Analysis Of Cyclic | motion | |
| Virtual | motion | : 3-D Scene Recovery Using Focal Length-Induced Optic Flow |
| Vision And | motion | Planning For A Mobile Robot Underuncertainty |
| Vision-Based | motion | Planning And Exploration Algorithms For Mobile Robots |
| Visual Detection Of | motion | , Academic Press, Orlando |
| Visual Estimation Of 3-D Line Segments From | motion | -A Mobile Robot Vision System |
| Visual Estimation Of 3-D Line Segments From | motion | -A Mobile Robot Vision System |
| Visual Form And | motion | Perception: Psychophysics, Computation, And Neural Networks, Boston, Ma |
| Visual | motion | Analysis Under Interceptive Behavior |
| Visual | motion | Estimation And Prediction: A Probabilistic Network Model For Temporal Coherence |
| Visual | motion | Estimation From Point Features: Unified View |
| Visual Processing Of | motion | (C.N.R.S. Jacques Monod Conference), Roscoff, France, The |
| Visual Tracking And | motion | Determination Using The Imm Algorithm |
| Visual- | motion | Fixation Invariant, A |
| What Can Projections Of Flow Fields Tell Us About The Visual | motion | |
| What Is Computed By Structure From | motion | Algorithms? |
| Which Shape From | motion | ? |
| Wigner Distribution For 2d | motion | Estimation From Noisy Images |
| Workshop On Robot | motion | Planning, L'Escala, Spain |
| Workshop On The Interpretation Of Visual | motion | , Santa Barbara, Ca |
| ``Nulling'' Filters And The Separation Of Transparent | motion | s |
| ``Retraction'' Method For Planning The | motion | Of A Disk, A |
1513 for motion