| _ | second | _ |
|---|
| 1.2 Billion Operations Per | second | Video Signal Processing Chip, A |
| Accv '95, | second | Asian Conference On Computer Vision, Singapore |
| Advances In Pattern Recognition Seventh International Workshop On Structural And Syntactic Pattern Recognition, And | second | International Workshop On Statistical Techniques In Pattern Recognition, Sydney, Australia, August 11-13, 1998,) Springer |
| Artificial Intelligence Ii-Methodology, Systems, Applications ( | second | International Conference, Varna, Bulgaria, September 16-19, 1986), North Holland |
| Aspects Of Visual Form Processing ( | second | International Workshop On Visual Form, Capri, Italy, May 30-June 2, 1994), World Scientific |
| Comments On ``Digital Step Edges From Zero Crossings Of | second | Directional Derivatives'' |
| Computer Analysis Of Images And Patterns (Proceedings Of Caip '87, The | second | International Conference On Automatic Image Processing, Wismar, Gdr, September 2-4, 1987), Akademie-Verlag |
| Computer Vision-Eccv '92 ( | second | European Conference On Computer Vision, Santa Margherita Ligure, Italy, May 19-22, 1992), Springer |
| Digital Image Processing ( | second | Edition), Addison-Wesley, Reading |
| Digital Image Processing ( | second | Edition), Wiley |
| Digital Step Edges From Zero Crossing Of | second | Directional Derivatives |
| Edge Detection From Negative Maxima Of | second | Derivative |
| Estimation Of The | second | Order Spatio-Temporal Derivatives Of Deforming Image Curves |
| Extension Of Canny'S Discrete Criteria To | second | Derivative Filters | Towards A Unified Approach |
| Fitting A | second | Degree Curve In The Presence Of Error |
| Fractal Growth Phenomena ( | second | Edition), World Scientific |
| Frontiers 88, | second | Symposium On The Frontiers Of Massively Parallel Computation, Fairfax, Va |
| Fundamentals Of Computer Graphics (Proceedings Of The | second | Pacific Conference On Computer Graphics And Applications, Beijing, China, August 26-29, 1994), World Scientific |
| Fuzz-Ieee '93, | second | Ieee International Conference On Fuzzy Systems, San Francisco, Ca |
| Ground-State Texture Patterns For The | second | -Order Ising Model |
| Guest Eds., Solid Modeling (Papers From The Acm/Ieee | second | Symposium On Solid Modeling And Applications, Montreal, Quebec, Canada, May 19-21, 1993) |
| Icdar '93, | second | International Conference On Document Analysis And Recognition, Tsukuba, Japan |
| Image Processing '92 (Icip '92; Proceedings Of The | second | Singapore International Conference On Image Processing, September 7-11, 1992), World Scientific |
| Image Processing Handbook ( | second | Edition), Ieee Press, The |
| Imagecom '93, | second | International Conference On Image Communication, Bordeaux, France |
| International Electronic Image Week- | second | Image Symposium: Image Processing, Computer Generated Images, Technology And Application (Nice, France |
| Interpolating Cubic Spline Contours By Minimizing | second | Derivative Discontinuity |
| Machine Vision For Inspection And Measurement ( | second | Annual Machine Vision Workshop, New Brunswick, Nj, April 25-26, 1988), Academic Press, Orlando |
| Mmvip '95, | second | International Conference On Mechatronics And Machine Vision In Practice, Hong Kong |
| Neuro-Nimes '89, | second | International Workshop On Neural Networks And Their Applications, Nimes, France |
| New Linear Feature Detection Technique Based On | second | Order Neighbors, A |
| On The Relation Between | second | -Order Statistics, Connectivity Analysis, And Percolation Models In Digital Textures |
| Parallel Architectures And Neural Networks (Proceedings Of The | second | Italian Workshop, Salerno, Italy, April 26-28, 1989), World Scientific |
| Parallel Image Analysis (Proceedings, | second | International Conference, Icpia '92, Ube, Japan, December 21-23, 1992), Springer |
| Pixel Labeling In A | second | -Order Markov Mesh |
| Podp '94, | second | International Workshop On Principles Of Document Processing, Darmstadt, Germany |
| Probabilistic Labeling In A Hidden | second | Order Markov Mesh |
| Proceedings Of The | second | Annual Nasa Symposium On Mathematical Pattern Recognition And Image Analysis (Houston, Tx |
| Proceedings Of The | second | Annual Symposium On Computational Geometry (Yorktown Heights, Ny |
| Proceedings Of The | second | International Workshop On) Object Representation In Computer Vision Ii (Cambridge, Uk, April 13-14, 199 |
| Proceedings, | second | Cad-Based Vision Workshop (Champion, Pa, February 8-11, 1994), Ieee Computer Society Press, Los Alamitos |
| Recent Developments In Computer Vision (Invited Session Papers, | second | Asian Conference On Computer Vision, Singapore, December 5-8, 1995), Springer |
| Recognition Of Handwritten Word: First And | second | Order Hidden Markov Model Based Approach |
| Representation, Extraction And Recognition With | second | -Order Topographic Surface Features |
| Robust Computer Vision-Quality Of Vision Algorithms (Proceedings Of The | second | International Workshop, Bonn, Germany, March 10-12, 1992), Wichmann, Karlsruhe |
| Rotation-Based Computations For Ray-Tracing | second | -Order Surfaces And Curves |
| second | Acm International Conference On Digital Libraries, Philadelphia, Pa |
| second | Annual Machine Vision Workshop, New Brunswick, Nj |
| second | Cgc Workshop On Computational Geometry, Durham, Nc |
| second | Conference On Artificial Intelligence Applications (Miami Beach, Fl, December 11-13 |
| second | Conference On Optical 3-D Measurement Techniques-Applications In Inspection, Quality Control, And Robotics, Zurich, Switzerland |
| second | Darpa Image Understanding Benchmark On Warp And Extending Apply To Include Global Operations, The |
| second | Directional Derivative Zero-Crossing Detector Using The Cubic Facet Model |
| second | Erlangen Symposium On Advances In Digital Image Communication, Erlangen, Germany |
| second | Iapr Workshop On Graphics Recognition, Nancy, France |
| second | Ifsa Congress (International Fuzzy Systems Association), Tokyo, Japan |
| second | International Conference On Advances In Pattern Recognition And Digital Techniques, Calcutta, India |
| second | International Conference On Artificial Neural Networks, Bournemouth, Uk |
| second | International Conference On Automation, Robotics And Computer Vision (Icarcv '92), Singapore |
| second | International Conference On Computer Vision (Tampa,, Fl, December 5-8, 1988), Computer Society Press, Washington |
| second | International Conference On Computer Vision, Virtual Reality, And Robotics In Medicine, Grenoble, France |
| second | International Conference On Face And Gesture Recognition, Killington, Vt |
| second | International Conference On Fuzzy Theory And Technology-Control And Decision, Durham, Nc |
| second | International Conference On Geo-Computation, Dunedin, New Zealand |
| second | International Conference On Image Processing And Its Applications (London, Uk |
| second | International Conference On Integrating Geographic Information Systems And Environmental Modeling, Breckenridge, Co |
| second | International Conference On Optical Information Processing St. Petersburg, Russia, June 17-21 |
| second | International Conference On Optical Information Processing, St. Petersburg, Russia |
| second | International Conference On Parallel Image Analysis, Ube, Japan |
| second | International Conference On Visual Information Systems, San Diego, Ca |
| second | International Conference On Visual Search, Durham, Uk |
| second | International Symposium On Spatial Data Handling (Seattle, Wa |
| second | International Workshop On Algorithmic Foundations Of Robotics, Toulouse, France |
| second | International Workshop On Time-Varying Image Processing And Moving Object Recognition (Florence, Italy |
| second | Optical Society Of America Topical Meeting On Machine Vision, Incline Village, Nv |
| second | Sdrv Workshop (Slovenian Society For Pattern Recognition), Speech And Image Understanding, Ljubljana, Slovenia |
| second | South African Symposium On Digital Image Processing, Durban, S.A. |
| second | Symposium On Large Spatial Databases, Zurich, Switzerland |
| second | Working Conference On Modeling In Computer Graphics-Methods And Applications (Ifip Tc5/Wg 5.10), Genova, Italy |
| second | Workshop On Cybernetic Vision, Sao Carlos, Sp, Brazil |
| second | Workshop On Human And Machine Vision, Montreal, Canada |
| second | Workshop On The Representation And Processing Of Spatial Expressions, Budapest, Hungary |
| second | -Generation Image Coding Techniques |
| second | -Order Implicit Polynomials For Segmentation Of Range Images |
| second | -Order Motion Perception: Space/Time Separable Mechanisms |
| Segmentation Of 3d-Volumes Using | second | Derivatives |
| Similarity And Affine Normalization Of Partially Occluded Planar Curves Using First And | second | Derivatives |
| Subpixel Positioning Of Edges For First And | second | Order Operators |
| Texture Synthesis Via Matching First And | second | Order Statistics Of A Wavelet Frame Decomposition |
| Topology Of Symmetric, | second | -Order 3d Tensor Fields, The |
| Velocity Estimation From Image Sequences With | second | Order Differential Operators |
| Vision '86 ( | second | International Applied Machine Vision Conference And Exposition, Detroit, Mi |
| Wacv, | second | Ieee Workshop On Applications Of Computer Vision, Sarasota, Fl |
93 for second
| _ | segmentation | _ |
|---|
| 2d Image | segmentation | Using Minimum Spanning Trees |
| 2d Object | segmentation | From Fovea Images Based On Eigen-Subspace Learning |
| 2d Phase-Independent Local Features For Texture | segmentation | |
| 2d Shape | segmentation | : A New Approach |
| 3-D Contour | segmentation | Scheme Based On Curvature And Torsion, A |
| 3-D Data Acquisition And Scene | segmentation | System |
| 3-D Range Images | segmentation | Based On Deriche'S Optimum Filters |
| 3-D Voronoi Diagram: Application To | segmentation | |
| 3d Model-Based | segmentation | Of Videoconference Image Sequences |
| 3d Part | segmentation | Using Simulated Electrical Charge Distributions |
| 3d Part | segmentation | Using Simulated Electrical Chargedistributions |
| 3d Part | segmentation | : A New Physics-Based Approach |
| 3d- | segmentation | And Display Of Tomographic Imagery |
| 6. Feature detection and | segmentation | ; image analysis |
| 6. Feature Detection, | segmentation | , and Image Analysis |
| 6. Feature detection, | segmentation | , and image analysis |
| 6. Feature Detection, | segmentation | , and Image Analysis |
| 6. Feature detection, | segmentation | , and image analysis |
| 6. Feature detection, | segmentation | , and image analysis |
| 6. Feature extraction, | segmentation | , and image analysis |
| A. Feature Detection and | segmentation | ; Image Analysis |
| A. Feature detection and | segmentation | ; image and scene analysis |
| A.1. | segmentation | |
| A.1. | segmentation | |
| A.1. Texture: | segmentation | |
| About Lacunarity, Some Links Between Fractal And Integral Geometry And An Application To Texture | segmentation | |
| Adaptive Bayesian Decision Model For Motion | segmentation | |
| Adaptive Clustering Algorithm For Image | segmentation | , An |
| Adaptive Computational Model For Texture | segmentation | , An |
| Adaptive Gabor Filters For Texture | segmentation | |
| Adaptive Gaussian Weighted Filtering For Image | segmentation | |
| Adaptive Image | segmentation | Method With Visual Nonlinearity Characteristics, An |
| Adaptive Image | segmentation | Using A Genetic Algorithm |
| Adaptive Image | segmentation | Using A Genetic Algorithm |
| Adaptive Method For Image | segmentation | |
| Adaptive Mixture Estimation And Unsupervised Local Bayesian Image | segmentation | |
| Adaptive | segmentation | Of Images Of Objects With Smooth Surfaces |
| Adaptive | segmentation | Of Noisy And Textured Images |
| Adaptive | segmentation | Of Speckled Images Using A Hierarchical Random Field Model |
| Adaptive Split-And-Merge | segmentation | Based On Piecewise Least-Square Approximation |
| Affine Invariant Texture | segmentation | And Shape From Texture By Variational Methods |
| Affine Plane Curve Evolution: A Fully Consistent Scheme, T-Ip 7, 1998, 411-420. 661214. K. Siddiqi, Y.B. Lauziere, A. Tannenbaum, And S.W. Zucker, Area And Length Minimizing Flows For Shape | segmentation | |
| Affine-Invariant Active Contour Model (Ai-Snake) For Model-Based | segmentation | , An |
| Algebraic Error Analysis For Surface Curvatures And | segmentation | Of 3-D Range Images |
| Algorithm For The | segmentation | Of Bilevel Images, An |
| Amos: An Active System For Mpeg-4 Video Object | segmentation | |
| Amplitude | segmentation | Method Based On The Distribution Function Of An Image, An |
| Analog Network For Continuous-Time | segmentation | , An |
| Analysis Of Multichannel Narrow-Band Filters For Image Texture | segmentation | |
| Analytic Structure Of Image Flows: Deformation And | segmentation | , The |
| Angy: A Rule-Based Expert System For Automatic | segmentation | Of Coronary Vessels From Digital Subtracted Angiograms |
| Animal: Validation And Applications Of Nonlinear Registration-Based | segmentation | |
| Anisotropic Diffusion Pyramids For Image | segmentation | |
| Approach To Knowledge-Driven | segmentation | , An |
| Approach To Three-Dimensional Image | segmentation | , An |
| Area And Length Minimizing Flows For Shape | segmentation | |
| Array Algebra Polynomial Fitting For Image | segmentation | |
| 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 |
| Automated Region | segmentation | Using Attraction-Based Grouping In Spatial-Color-Texture Space |
| Automated | segmentation | Of Brain Mr Images |
| Automatic Generation Of Image- | segmentation | Processes |
| Automatic Multi-Thresholdable Image | segmentation | By Using Separating Bipoints |
| Automatic Region Construction By Edge Detection And Contour Following In Image | segmentation | |
| Automatic | segmentation | And Classification Of Outdoor Images Using Neural Networks |
| Automatic Spatio-Temporal Video Sequence | segmentation | |
| Automatic Target | segmentation | By Locally Adaptive Image Thresholding |
| Automatic Watershed | segmentation | Of Randomly Textured Color Images |
| Background Modeling For | segmentation | Of Video-Rate Stereo Sequences |
| Bayesian Approach For The | segmentation | Of Sar Images Using Dynamically Selected Neighborhoods, A |
| Bayesian Block-Wise | segmentation | Of Interframe Differences In Video Sequences |
| Bayesian Decision Feedback For | segmentation | Of Binary Images |
| Bayesian Image Restoration And | segmentation | By Constrained Optimization |
| Bayesian Multiple-Hypothesis Approach To Edge Grouping And Contour | segmentation | , A |
| Bayesian Range | segmentation | Using Focus Cues |
| Bayesian | segmentation | Framework For Textured Visual Images, A |
| Bayesian | segmentation | Methodology For Parametric Image Models, A |
| Bayesian/Monte Carlo | segmentation | Method For Images Dominated By Gaussian Noise, A |
| Binary Image | segmentation | Of Aggregates Based On Polygonal Approximation And Classification Of Concavities |
| Binary Partition Tree As An Efficient Representation For Filtering, | segmentation | And Information Retrieval |
| Biomedical Image | segmentation | |
| Blind Texture | segmentation | |
| Blurring Strategies For Image | segmentation | Using A Multiscale Linking Model |
| Bond Percolation-Based Model For Image | segmentation | , A |
| Bootstrap Coverage Plots For Image | segmentation | |
| Boundary Localization In Texture | segmentation | |
| Box-Counting Approach To Color | segmentation | , A |
| Bscan Image | segmentation | By Thresholding Using Cooccurrence Matrix Analysis |
| Cellular Automaton For Image | segmentation | Using Voronoi Diagrams, A |
| Cepstral Filtering On A Columnar Image Architecture: A Fast Algorithm For Binocular Stereo | segmentation | |
| Character | segmentation | In Japanese Hand-Written Document Images |
| Circular-Mellin Features For Texture | segmentation | |
| Classification And | segmentation | Of Rotated And Scaled Textured Images Using Texture ``Tuned'' Masks |
| Closed-Loop Adaptive Image | segmentation | |
| Cluster Validation For Unsupervised Stochastic Model-Based Image | segmentation | |
| Cluster Validation For Unsupervised Stochastic Model-Based Image | segmentation | |
| Coding-Oriented Video | segmentation | Inspired By Mrf Models |
| Color Clustering Technique For Image | segmentation | , A |
| Color Image Background | segmentation | And Representation |
| Color Image | segmentation | Based On 3-D Clustering: Morphological Approach |
| Color Image | segmentation | By A Watershed Algorithm And Region Adjacency Graph Processing |
| Color Image | segmentation | By Clustering And Parametric-Histogramming Technique |
| Color Image | segmentation | Using Competitive Learning |
| Color Image | segmentation | Using Hopfield Networks |
| Color Image | segmentation | Using Markov Random Fields |
| Color Image | segmentation | Using Markov Random Fields, Iuw |
| Color Image | segmentation | Using Three Perceptual Attributes |
| Color Image | segmentation | With Detection Of Highlights And Local Illumination Induced By Inter-Reflections |
| Color Images' | segmentation | Using Scale Space Filter And Markov Random Field |
| Color Reflectance Model And Its Use For | segmentation | , A |
| Color | segmentation | By Hierarchical Connected Components Analysis With Image Enhancement By Symmetric Neighborhood Filters |
| Color | segmentation | Using Perceptual Attributes |
| Color- And Texture-Based Image | segmentation | Using Em And Its Application To Content-Based Image Retrieval |
| Colour Image | segmentation | And Labeling Through Multiedit-Condensing |
| Colour Image | segmentation | By Modular Neural Network |
| Colour | segmentation | With Polynomial Classification |
| Combination Of Edge Detection And Region Extraction In Nonparametric Color Image | segmentation | , The |
| Combined Decision Theoretic And Syntactic Approach To Image | segmentation | |
| Combined Markov Random Field And Wave-Packet Transform-Based Approach For Image | segmentation | , A |
| Combined Surface Interpolation And Object | segmentation | For Automatic 3-D Scene Reconstruction |
| Combining Intensity And Motion For Incremental | segmentation | And Tracking Over Long Image Sequences |
| Comment On Using The Uniformity Measure For The Performance Measure In Image | segmentation | |
| Comments On Geodesic Saliency Of Watershad Contours And Hierarchical | segmentation | [+Response] |
| Comments On Nonparametric | segmentation | Of Curves Into Variousrepresentations |
| Comments On ``An Optimal Multiple Threshold Scheme For Image | segmentation | '' |
| Comments On ``Application Of The Conditional Population-Mixture Model To Image | segmentation | '' |
| Comments On ``Low Level | segmentation | : An Expert System'' |
| Common Framework For Curve Evolution, | segmentation | And Anisotropic Diffusion, A |
| Common Framework For Image | segmentation | , A |
| Common Framework For Image | segmentation | , A |
| Comparative Performance Study Of Several Global Thresholding Techniques For | segmentation | , A |
| Comparative Study Of Different Spatial/Spatial-Frequency Methods (Gabor Filters, Wavelets, Wavelet(S) Packet |
| Comparative Study Of Three Sequential Time Series | segmentation | Algorithms, A |
| Comparison Of Several Approaches For The | segmentation | Of Texture Images |
| Comparison Of Two Algorithms For | segmentation | Using Edge Detection Techniques, A |
| Complex Shadow-Boundary | segmentation | Using The Entry-Exit Method |
| Computation Of Surface Geometry And | segmentation | Using Covariance Techniques |
| Computational Model Of Texture | segmentation | , A |
| Computer Color Vision: Automated | segmentation | Of Histological Tissue Sections |
| Computer Texture Analysis And | segmentation | |
| Computing Correspondence Based On Regions And Invariants Without Feature Extraction And | segmentation | |
| Concerning Bayesian Motion | segmentation | , Model Averaging, Matching And The Trifocal Tensor |
| Connectionist Approach For Gray Level Image | segmentation | , A |
| Connectionist Classifier Architecture Applied To Image | segmentation | , A |
| Constraint Directed Learning For Unsupervised Image Sequence | segmentation | |
| Constraint Satisfaction In Neural Networks For Image | segmentation | |
| Contagion-Driven Image | segmentation | And Labeling |
| Context-Directed | segmentation | Algorithm For Handwritten Numeral Strings |
| Contour Continuity In Region-Based Image | segmentation | |
| Contour | segmentation | Using Hough Transform |
| Control Free, Low-Level Image | segmentation | : Theory, Architecture; And Experimentation |
| Cooperative Framework For | segmentation | Using 2d Active Contours And 3d Hybrid Models As Applied To Branching Cylindrical Structures, A |
| Correspondence And | segmentation | Of Multiple Rigid Motions Via Epipolar Geometry |
| Coupled Pde Model Of Nonlinear Diffusion For Image Smoothing And | segmentation | , A |
| Critical View Of Pyramid | segmentation | Algorithms, A |
| Curvature | segmentation | From Multiple Illumination Using A Photometric Invariant |
| Curve Evolution And | segmentation | Functionals: Application To Color Images |
| Curve | segmentation | By Continuous Smoothing At Multiple Scales |
| Curve | segmentation | Under Partial Occlusion |
| Decoupling Fourier Components Of Dynamic Image Sequences: A Theory Of Signal Separation, Image | segmentation | , And Optical Flow Estimation |
| Deformable Model-Based Image | segmentation | Algorithm For Shapes With Corners, A |
| Delayed Reinforcement Learning For Adaptive Image | segmentation | And Feature Extraction |
| Dense Estimation And Object-Based | segmentation | Of The Optical Flow With Robust Techniques |
| Depth Data | segmentation | Using Robust Estimation In A Hierarchical Data Structure |
| Design And Implementation Of A Low-Level Image | segmentation | Architecture-Lisa |
| Design And Implementation Of A Low-Level | segmentation | Architecture-Lisa |
| Detecting And Solving Template Ambiguities Inmotion | segmentation | |
| Detection And | segmentation | Of Feature Trajectories In Multiple, Discontinuous Motion Image Sequences |
| Detection And | segmentation | Of Man-Made Objects In Outdoor Scenes: Concrete Bridges |
| Detection Of Diffuse And Specular Interface Reflections And Inter-Reflections By Color Image | segmentation | |
| Deterministic Pseudo-Annealing: A New Optimization Scheme Applied To Texture | segmentation | |
| Digital Diffusion Network For Image | segmentation | |
| Discrete Models For Energy-Minimizing | segmentation | |
| Discrete-Time Cnn For Image | segmentation | By Active Contours |
| Document | segmentation | And Coding Techniques |
| Dynamic Measurement Of Computer Generated Image | segmentation | s |
| E. Feature Detection, | segmentation | , Image Analysis |
| E. Feature detection, | segmentation | , image analysis |
| E. Feature Detection, | segmentation | , Image and Scene Analysis |
| E. FEATURE DETECTION AND | segmentation | ; |
| E. FEATURE DETECTION AND | segmentation | ; |
| E. FEATURE DETECTION AND | segmentation | ; |
| E. FEATURE DETECTION AND | segmentation | ; IMAGE AND SCENE ANALYSIS |
| E. Feature detection and | segmentation | ; image and scene analysis |
| E. FEATURE DETECTION AND | segmentation | ; IMAGE AND SCENE ANALYSIS |
| E. FEATURE DETECTION AND | segmentation | ; IMAGE AND SCENE ANALYSIS |
| E.2 | segmentation | |
| E.2. | segmentation | |
| E.2. | segmentation | |
| E.2. | segmentation | |
| Edge Flow: A Framework Of Boundary Detection And Image | segmentation | |
| Edge-Based | segmentation | Of 3-D Magnetic Resonance Images |
| Edge-Region | segmentation | Process Based On Generalized Voronoi Diagram Representation |
| Edge-Region-Based | segmentation | Of Range Images |
| Edge/Region-Based | segmentation | And Reconstruction Of Underwater Acoustic Images By Markov Random Fields |
| Effective Algorithm For The | segmentation | Of Digital Plane Curves | The Isoparametric Formulation, An |
| Efficient Coding Of | segmentation | Maps Based On Mpeg-4 Shape Coding |
| Efficient Gabor Filter Design For Texture | segmentation | |
| Efficient Watershed | segmentation | Algorithm Suitable For Parallel Implementation, An |
| Efficiently Computing A Good | segmentation | |
| Eigen-Image Based Video | segmentation | And Indexing |
| Eigenstructure Approach To Region Detection And | segmentation | |
| Em Algorithm For Image | segmentation | Initialized By A Tree Structure Scheme |
| Em/Mpm Algorithm For | segmentation | Of Textured Images: Analysis And Further Experimental Results, The |
| Empirical Bayesian Em-Based Motion | segmentation | |
| Energy-Based | segmentation | Of Very Sparse Range Surfaces |
| Enhanced | segmentation | Of Sar Images Using Non-Fourier Imaging |
| Entry-Exit Method Of Shadow Boundary | segmentation | |
| Entry-Exit Method Of Shadow Boundary | segmentation | , The |
| Estimation And | segmentation | Of Displacement Field Using Multiple Features |
| Estimation Of Fuzzy Gaussian Mixture And Unsupervised Statistical Image | segmentation | |
| Estimation Of Generalized Mixtures And Its Application In Image | segmentation | |
| Estimation Of Generalized Multisensor Hidden Markov Chains And Unsupervised Image | segmentation | |
| Estimation Of Image Feature Reliability For An Interactive Video | segmentation | Scheme |
| Estimation Of Planar Curves, Surfaces, And Nonplanar Space Curves Defined By Implicit Equations With Applications To Edge And Range Image | segmentation | |
| Evaluation And Comparison Of Different | segmentation | Algorithms |
| Evaluation Of Strategies For | segmentation | Of Blue-Dyed Pores In Thin Sections Of Reservoir Rocks |
| Evolving Descriptors For Texture | segmentation | |
| Experiment On Texture | segmentation | Using Modulated Wavelets, An |
| Experimental Comparison Of Range Image | segmentation | Algorithms, An |
| Experiments In Curvature-Based | segmentation | Of Range Data |
| Experiments In | segmentation | Using A Facet Model Region Grower |
| F. Feature detection and | segmentation | ; image analysis |
| F. Feature detection, | segmentation | , and image analysis |
| F. Feature Detection, | segmentation | , Image Analysis |
| F. Feature Detection, | segmentation | , Image Analysis |
| F. Feature Detection, | segmentation | , Image Analysis |
| F. Feature detection, | segmentation | , image analysis |
| F. Feature Detection, | segmentation | , Image Analysis |
| F. Feature Detection, | segmentation | , Image Analysis |
| F. Feature Detection, | segmentation | , Image Analysis |
| F. Feature Extraction, | segmentation | , and Image Analysis |
| F.2. | segmentation | |
| F.2. | segmentation | |
| F.2. | segmentation | |
| F.2. | segmentation | |
| F.2. | segmentation | |
| F.2. | segmentation | |
| F.2. | segmentation | |
| F.2. | segmentation | |
| F.2. | segmentation | |
| Face | segmentation | Using Fuzzy Reasoning |
| Factorization-Based | segmentation | Of Motions |
| Faithful Least-Squares Fitting Of Spheres, Cylinders, Cones And Tori For Reliable | segmentation | |
| Fast Algorithm For Mdl-Based Multi-Band Image | segmentation | , A |
| Fast And Accurate Algorithm For Facial Feature | segmentation | , A |
| Fast And Accurate Texture-Based Image | segmentation | |
| Fast And Adaptive Method To Estimate Texture Statistics By The Spatial Gray Level Dependence Matrix For Texture Image | segmentation | , A |
| Fast And Robust Cluster Update Algorithm For Image | segmentation | In Spin-Lattice Models Without Annealing | Visual Latencies Revisited, A |
| Fast Calculation Of Local Moments And Application To Range | segmentation | |
| Fast Recursive Spanning Tree For Image | segmentation | And Edge Detection, A |
| Fast | segmentation | Of Planar Surfaces In Range Images |
| Fast | segmentation | Of Range Imagery Into Planar Regions |
| Fast | segmentation | Of Range Images Into Planar Regions |
| Fast | segmentation | Of Range Images Into Planar Regions By Scan Line Grouping |
| Fast | segmentation | , Tracking, And Analysis Of Deformable Objects |
| Feature Based Hierarchical Video | segmentation | |
| Feature Extraction And Image | segmentation | Using Self-Organizing Networks |
| Feature Extraction By Rank-Order Filtering For Image | segmentation | |
| Feature Extraction In Shape Recognition Using | segmentation | Of The Boundary Curve |
| Feature Guided Pixel Matching And | segmentation | In Motion Image Sequences |
| Feature-Based Cluster | segmentation | Of Image Sequences |
| Feature-Based Image | segmentation | In Human Vision |
| Figure-Ground | segmentation | Using Tabu Search |
| Filtering, | segmentation | And Depth, Springer |
| Finite Prolate Spheroidal Sequences And Their Applications Ii: Image Feature Description And | segmentation | |
| Focused Target | segmentation | Paradigm, A |
| Foreground/Background | segmentation | Of Color Images By Integration Of Multiple Cues |
| Fractional Discrimination For Texture Image | segmentation | |
| Frame Adaptive | segmentation | For Model-Based Videophone Coding |
| Frame Representation For Texture | segmentation | |
| Framework For Constructing Probability Distributions On The Space Of Image | segmentation | s, A |
| Framework For | segmentation | Using Physical Models Of Image Formation, A |
| Framework For | segmentation | Using Physical Models Of Image Formation, A |
| Fusion Of Color And Edge Information For Improved | segmentation | And Edge Linking |
| Fusion Of Images After | segmentation | By Various Operators And Interpretation By A Multi-Scale Fuzzy Classification |
| Fuzzy Connectedness And Object Definition: Theory, Algorithms, And Applications In Image | segmentation | |
| Fuzzy Logic Approach To Image | segmentation | , A |
| Fuzzy Region Growing Approach For | segmentation | Of Color Images, A |
| Fuzzy Region-Growing | segmentation | Of Natural Images Using Local Fractal Dimension |
| G. LIGHTNESS AND COLOR; TEXTURE (G.1) Lightness, polarization, and color: [1022-1076] (G. |
| G.3. Texture: Description, | segmentation | |
| G.4 Texture: | segmentation | |
| Gaussian-Mixture-Based Image | segmentation | Algorithm, A |
| General Model-Based 3d Surface Estimation, Recognition And | segmentation | From Multiple Images |
| Generation And | segmentation | Of Motion Trajectories |
| Genetic Algorithm Approach To Image | segmentation | Using Morphological Operations |
| Genetic Algorithm Based Method To Improve Image | segmentation | , A |
| Geodesic Saliency Of Watershed Contours And Hierarchical | segmentation | |
| Geometric Deformable Model[S] And | segmentation | |
| Geometric Image Primitives By Complex Moments In Gabor Space And The Application To Texture | segmentation | |
| Geometry Guided Incremental | segmentation | |
| Gibbs Models For Bayesian Simulation And | segmentation | Of Piecewise-Uniform Textures |
| Gibbs Random Fields, Fuzzy Clustering, And The Unsupervised | segmentation | Of Textured Images |
| Gmrf Models And Wavelet Decomposition For Texture | segmentation | |
| Gradient-Based Method For General Motion Estimation And | segmentation | , A |
| Grating Cell Operator Features For Oriented Texture | segmentation | |
| Grouping Symmetrical Structures For Object | segmentation | And Description |
| H.2. Contour approximation and | segmentation | |
| H.2. | segmentation | ; properties |
| H.3. Texture: description, | segmentation | |
| Hand Image | segmentation | Using Sequential-Image-Based Hierarchical Adaptation |
| Hand | segmentation | Using Learning-Based Prediction And Verification For Hand Sign Recognition |
| Heuristic Linking Models In Multiscale Image | segmentation | |
| Hidden Markov Fields And Unsupervised | segmentation | Of Images |
| Hierarchical Algorithm For The | segmentation | Of 3-D Images, A |
| Hierarchical Approach For Scene | segmentation | Based On 2d Motion, A |
| Hierarchical Contour-Based | segmentation | Of Dynamic Scenes |
| Hierarchical Image | segmentation | By Multi-Dimensional Clustering And Orientation-Adaptive Boundary Refinement |
| Hierarchical Image | segmentation | Using Similarity Analysis |
| Hierarchical Image | segmentation | | Part I: Detection Of Regular Curves In A Vector Graph |
| Hierarchical Likelihood Approach For Region | segmentation | According To Motion-Based Criteria, A |
| Hierarchical Markov Modeling Approach For The | segmentation | And Tracking Of Deformable Shapes, A |
| Hierarchical Mrf Modeling For Sonar Picture | segmentation | |
| Hierarchical Probabilistic Image | segmentation | |
| Hierarchical | segmentation | Algorithm, A |
| Hierarchical | segmentation | Methods For Region-Based Video Coding |
| Hierarchical | segmentation | -Based Approach To Motion Analysis |
| Hierarchical Statistical Framework For The | segmentation | Of Deformable Objects In Image Sequences, A |
| Hierarchy In Picture | segmentation | : A Stepwise Optimization Approach |
| Histogram Based Fuzzy Kohonen Clustering Network For Image | segmentation | |
| Histogram-Based | segmentation | In A Perceptually Uniform Color Space |
| Hopfield Neural Network For Adaptive Image | segmentation | : An Active Surface Paradigm, A |
| Human Body Motion | segmentation | In A Complex Scene |
| Hybrid Approach To Range Image | segmentation | , A |
| Hybrid Approach Toward Model-Based Texture | segmentation | , A |
| Hybrid Computational Architectures For Image | segmentation | |
| Hybrid Image | segmentation | Using Watersheds And Fast Region Merging |
| Hybrid Method For Range Image | segmentation | , A |
| Hybrid Method Towards The | segmentation | Of Range Images For 3-D Object Recognition, A |
| Hypothesis Testing For Coarse Region Estimation And Stable Point Determination Applied To Markovian Texture | segmentation | |
| I.2. Texture: Models, Synthesis, | segmentation | |
| I.3. | segmentation | |
| I.4. Texture: | segmentation | |
| I.4. Texture: | segmentation | |
| I.4. Texture: | segmentation | |
| Image Analysis: | segmentation | Operator Cooperation Led By The Interpretation |
| Image And Boundary | segmentation | Via Minimal-Length Encoding On The Connection Machine |
| Image And Video | segmentation | : The Normalized Cut Framework |
| Image Enhancement For | segmentation | By Self-Induced Autoregressive Filtering |
| Image Flow | segmentation | And Estimation By Constraint Line Clustering |
| Image Recovery And | segmentation | Using Competitive Learning In A Layered Network |
| Image Seaming For | segmentation | On Parallel Architecture |
| Image | segmentation | |
| Image | segmentation | And Image Matching For 3d Terrain Reconstruction |
| Image | segmentation | And Labeling Using The Polya Urn Model |
| Image | segmentation | And Matching Using The Binary Object Forest |
| Image | segmentation | And Reflection Analysis Through Color |
| Image | segmentation | And Uncertainty, Wiley |
| Image | segmentation | Based On A Multiresolution Bayesian Framework |
| Image | segmentation | Based On Combination Of Global And Local Information |
| Image | segmentation | Based On Multiresolution Filtering |
| Image | segmentation | Based On Object Oriented Mapping Parameter Estimation |
| Image | segmentation | Based On Oscillatory Correlation |
| Image | segmentation | Based On The Integration Of Pixel Affinity And Deformable Models |
| Image | segmentation | By A Fuzzy Clustering Algorithm Using Adaptive Spatially Constrained Membership Functions |
| Image | segmentation | By A Multiresolution Approach |
| Image | segmentation | By A Parallel, Non-Parametric Histogram Based Clustering Algorithm |
| Image | segmentation | By Connectivity Preserving Relinking In Hierarchical Graph Structures |
| Image | segmentation | By Conventional And Information-Integrating Techniques: A Synopsis |
| Image | segmentation | By Directed Region Subdivision |
| Image | segmentation | By Discrete Relaxation |
| Image | segmentation | By Integration Of Edge And Region Data: The Influence Of Edge Detection Algorithms |
| Image | segmentation | By Local Entropy Methods |
| Image | segmentation | By Reaction-Diffusion Bubbles |
| Image | segmentation | By Region-Contour Cooperation For Image Coding |
| Image | segmentation | By Semantic Method |
| Image | segmentation | By Successive Background Extraction |
| Image | segmentation | By Syntactic Method |
| Image | segmentation | By Unifying Region And Boundary Information |
| Image | segmentation | For Complex Natural Scenes |
| Image | segmentation | For Human Tracking Using Sequential-Image-Based Hierarchical Adaptation |
| Image | segmentation | From Consensus Information |
| Image | segmentation | In The Presence Of Uncertainty |
| Image | segmentation | Of Color Image Based On Region Coherency |
| Image | segmentation | Techniques |
| Image | segmentation | Using A Dynamic Thresholding Pyramid |
| Image | segmentation | Using Fuzzy Correlation |
| Image | segmentation | Using Fuzzy Homogeneity Criterion |
| Image | segmentation | Using Geometric And Physical Constraints |
| Image | segmentation | Using Laser Radar Data |
| Image | segmentation | Using Local Variation |
| Image | segmentation | Using Maximum Gradient Profiles Orthogonal To Edges |
| Image | segmentation | Using Texture Boundary Detection |
| Image | segmentation | Via Adaptive K-Mean Clustering And Knowledge-Based Morphological Operations With Biomedical Applications |
| Image | segmentation | Via Edge Contour Finding: A Graph Theoretic Approach |
| Image | segmentation | Via Functionals Based On Boundary Functions |
| Image | segmentation | With A Propagator Markov Mesh Model |
| Image | segmentation | With Topological Maps And Inter-Pixel Representation |
| Image | segmentation | : A Comment On ``Studies In Global And Local Histogram-Guided Relaxation Algorithms'' |
| Image Sequence Analysis And | segmentation | Using G-Blobs |
| Image Sequence Restoration: A Pde-Based Coupled Method For Image Restoration And Motion | segmentation | |
| Image Sequence | segmentation | Based On 2d Temporal Entropic Thresholding |
| Image Sequence | segmentation | Using Motion Coherence |
| Image Sequence | segmentation | Using Time-Varying Textures |
| Image Structure Representation And Processing: A Discussion Of Some | segmentation | Methods In Cytology |
| Improved Linked Pyramid For Texture | segmentation | Using The Fractal Brownian Model, An |
| Improved | segmentation | For A Syntactic Curve Network Parser, An |
| Incorporation Of Derivative Priors In Adaptive Bayesian Color Image | segmentation | |
| Incremental Motion | segmentation | In Low Texture |
| Independent Motion | segmentation | And Collision Prediction For Road Vehicles |
| Independent Motion | segmentation | And Collision Prediction For Road Vehicles |
| Inexhaustive Region | segmentation | By Robust Clustering |
| Influence Of | segmentation | Over Feature Measurement |
| Information Fusion In A Markov Random Field-Based Image | segmentation | Approach Using Adaptive Neighbourhoods |
| Initial | segmentation | For Knowledge Indexing |
| Initial | segmentation | Of A Scene Using The Results Of A Classification Based Motion Estimator |
| Integrated Approach To Stereo Matching, Surface Reconstruction And Depth | segmentation | Using Consistent Smoothness Assumptions, An |
| Integrated Approach To Texture | segmentation | Using Multiple Gabor Filters |
| Integrated Matching And | segmentation | Of Multiple Features In Two Views |
| Integrated Real-Time Motion | segmentation | And 3d Interpretation |
| Integrating Edge And Surface Information For Range Image | segmentation | |
| Integration Of A Part | segmentation | Based Vision System |
| Integration Of Audio And Visual Information For Content-Based Video | segmentation | |
| Integration Of Image | segmentation | Maps Using Region And Edge Information, The |
| Integration Of Region And Edge-Based | segmentation | , The |
| Integration Scheme For Image | segmentation | And Labeling Based On Markov Random Field Model, An |
| Intensity Axis Of Symmetry And Its Application To Image | segmentation | , The |
| Interactive And Intuitive | segmentation | Of Volumetric Data: The Segment View System And The Kooshball Algorithm |
| Interactive | segmentation | Method Based On Dynamic Programming And Its Application In Medical Image Analysis, An |
| Interactive | segmentation | Of Multi-Dimensional Medical Data With Contour-Based Application Of Genetic Algorithms |
| Interactive | segmentation | With Intelligent Scissors |
| Interpreting Aerial Photographs By | segmentation | And Search |
| Invariant Surface | segmentation | Through Energy Minimization With Discontinuities |
| Investigation Of Parallel And Globally Convergent Iterative Schemes For Nonlinear Variational Image Smoothing And | segmentation | |
| Irregular Mrf Region Label Model For Multi-Channel Image | segmentation | , An |
| Iterative Fuzzy Image | segmentation | |
| Iterative Motion Estimation- | segmentation | Method Using Watershed Segments, An |
| Iterative | segmentation | Method Based On A Contextual Color And Shape Criterion, An |
| Iterative | segmentation | Method Based On A Contextual Color And Shape Criterion, An |
| Iterative Thresholding Algorithm For Image | segmentation | , An |
| J.1. Range sensing, etc.; | segmentation | |
| Joint | segmentation | And B-Spline Object Contour Modelling For Object Tracking And Motion Compensation In Image Sequences |
| Joint | segmentation | And Image Interpretation |
| Joint | segmentation | And Image Interpretation Using Hidden Markov Models |
| Joint | segmentation | And Motion Estimation |
| Knowledge Aided Character | segmentation | From Handwritten Document Image |
| Knowledge And Strategies For Image | segmentation | |
| Knowledge-Based Approach To Volumetric Medical Image | segmentation | , A |
| Knowledge-Based | segmentation | Method For Document Understanding, A |
| Knowledge-Based | segmentation | Of Sar Images |
| Knowledge-Based | segmentation | Of Sonar Data |
| Knowledge-Guided | segmentation | Of 3d Imagery |
| Kohonen Networks For Multiscale Image | segmentation | |
| L.3. Motion Detection and Tracking; | segmentation | |
| Learning Recognition And | segmentation | Of 3-D Objects From 2-D Images |
| Learning Recognition And | segmentation | Using The Cresceptron |
| Line Filtering And Its Application To Stroke | segmentation | Of Handprinted Chinese Characters |
| Line Labelling And Region | segmentation | In Stereo Image Pairs |
| Linear Algorithm For | segmentation | Of Digital Curves, A |
| Local Spatiocolor Analysis Applied To Pattern | segmentation | , A |
| Low Level Image | segmentation | : An Expert System |
| Low Level Information Fusion: Multisensor Scene | segmentation | Using Learning Automata |
| Low-Level | segmentation | Of Aerial Images With Fuzzy Clustering |
| Low-Level | segmentation | Of Multispectral Images Via Agglomerative Clustering In Uniform Neighborhoods |
| Map Image Restoration And | segmentation | By Constrained Optimization |
| Map Representations And Coding Based Priors For | segmentation | |
| Map-Based Probabilistic Reasoning To Vehicle | segmentation | |
| Markov Random Field Approach To Data Fusion And Colour | segmentation | , A |
| Markov Random Field Model-Based Approach To Unsupervised Texture | segmentation | Using Local And Global Spatial Statistics, A |
| Markov Random Field Models For Unsupervised | segmentation | Of Textured Color Images |
| Matching Error Based Criterion Of Region Merging For Joint Motion Estimation And | segmentation | Techniques |
| Maximum Likelihood Approach To Feature | segmentation | , A |
| Maximum Likelihood Texture | segmentation | Using Gaussian Markov Random Field Models |
| Maximum Likelihood Unsupervised Textured Image | segmentation | |
| Maximum-Likelihood Parameter Estimation For Unsupervised Stochastic Model-Based Image | segmentation | |
| 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 |
| Medical Image | segmentation | Using Mean Field Annealing Network |
| Merging Regions Across Feature Maps In Texture | segmentation | |
| Method For The Analysis Of Ambiguous | segmentation | s Of Images, A |
| Method Of Integrating Motion Information Along Contours Including | segmentation | , A |
| Midline Model Based | segmentation | |
| Minimal Surfaces Based Object | segmentation | |
| Mlp-Based Texture | segmentation | Method Without Selecting A Feature Set, An |
| Mlp-Based Texture | segmentation | Technique Which Does Not Require A Feature Set, An |
| Mmap: Modified Maximum A Posteriori Algorithm For Image | segmentation | In Large Image/Video Databases |
| Model Based Region | segmentation | Using Coocurrence Matrices |
| Model Based | segmentation | And Detection Of Affine Transformed Shapes In Cluttered Images |
| Model-Based Learning Of | segmentation | s |
| 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 Tracking For Navigation And | segmentation | |
| Model-Fitting Approach To Cluster Validation With Application To Stochastic Model-Based Image | segmentation | , A |
| Model-Guided | segmentation | Using Quadtrees |
| Modeling And | segmentation | Of Noisy And Textured Images Using Gibbs Random Fields |
| Moment Based Texture | segmentation | |
| Moment-Based Texture | segmentation | |
| Morphing Active Contours: A Geometric Approach To Topology-Independent Image | segmentation | And Tracking |
| Morphological | segmentation | |
| Morphological Transformation For Sharpening Edges Of Features Before | segmentation | , A |
| 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 Factorization And | segmentation | Of Long Multiple Motion Image Sequences |
| Motion And Structure Factorization And | segmentation | Of Long Multiple Motion Image Sequences |
| Motion Based Image | segmentation | For Video Coding |
| Motion Based | segmentation | |
| Motion Estimation And | segmentation | |
| Motion Estimation And | segmentation | By Fuzzy Clustering |
| Motion | segmentation | And Depth Ordering Based On Morphological Segmentation |
| 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 | Using Convergence Properties |
| Motion | segmentation | Using Singular Value Decomposition |
| Motion-Based Object | segmentation | And Estimation Using The Mdl Principle |
| Motion-Based | segmentation | By Means Of Active Contours |
| Motion-Based | segmentation | Using A Thresholded Merging Strategy On Watershed Segments |
| 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 Algorithms For | segmentation | Of Sar Images |
| Mrf-Based Motion | segmentation | Exploiting A 2d Motion Model Robust Estimation |
| Multi-Channel Filtering Approach To Texture | segmentation | , A |
| Multi-Layer Surface | segmentation | Using Energy Minimization |
| Multi-Level Contour | segmentation | Using Multiple Segmentation Primitives |
| Multi-Level Contour | segmentation | Using Multiple Segmentation Primitives |
| Multi-Modal | segmentation | Using Markov Random Fields |
| Multi-Resolution Feature Reduction Technique For Image | segmentation | With Multiple Components, A |
| Multichannel Filtering Methods For Color Image | segmentation | |
| Multilevel Gmrf-Based | segmentation | Of Image Sequences |
| Multimodal Motion Estimation And | segmentation | Using Markov Random Fields |
| Multimodal Reconstruction And | segmentation | With Markov Random Fields And Hcf Optimization |
| Multiple Resolution Image | segmentation | Using Four Qp Supports Of 2d Autoregressive Model |
| Multiple Resolution | segmentation | Of Textured Images |
| Multiple Shape-From-Texture Into Texture Analysis And Surface | segmentation | |
| Multiple-Scale | segmentation | And Representation Of Solid Plane Shapes |
| Multiresolution 3-D Range | segmentation | Using Focus Cues |
| Multiresolution Approach To Texture | segmentation | Using Aerial Networks, A |
| Multiresolution Cluster | segmentation | Using Spatial Context |
| Multiresolution Color Image | segmentation | |
| Multiresolution Feature Extraction And Selection For Texture | segmentation | |
| Multiresolution Gauss-Markov Random Field Models For Texture | segmentation | |
| Multiresolution Hierarchical Approach To Image | segmentation | Based On Intensity Extrema, A |
| Multiresolution Hybrid Neuro-Markovian Image Modeling And | segmentation | , A |
| Multiresolution Motion | segmentation | |
| Multiresolution | segmentation | Using The Irregular Pyramid |
| Multiresolutional Cluster | segmentation | Using Spatial Context |
| Multiscale Algorithm For Image | segmentation | By Variational Method, A |
| Multiscale Annealing For Real-Time Unsupervised Texture | segmentation | |
| Multiscale Contour | segmentation | And Approximation: An Algorithm Based On The Geometry Of Regular Inscribed Polygons |
| Multiscale Gradient Algorithm For Image | segmentation | Using Watersheds, A |
| Multiscale Image | segmentation | By Integrated Edge And Region Detection |
| Multiscale Image | segmentation | Using A Recent Transform |
| Multiscale Random Field Model For Bayesian Image | segmentation | , A |
| Multiscale Regularity Measure As A Geometric Criterion For Image | segmentation | , A |
| Multiscale Rician Approach To Gabor Filter Design For Texture | segmentation | |
| Multiscale | segmentation | And Anomaly Enhancement Of Sar Imagery |
| Multiscale | segmentation | And Anomaly Enhancement Of Sar Imagery |
| Multiscale | segmentation | And Approximation For Significant Description Of 2d Contours |
| Multiscale | segmentation | Through A Radial Basis Neural Network |
| N-Folded Symmetries By Complex Moments In Gabor Space And Their Application To Unsupervised Texture | segmentation | |
| Natural Approach In Image Processing And Pattern Recognition: Rotating Neighborhood Technique, Self-Adapting Threshold, | segmentation | And Shape Recognition, A |
| Natural Scene | segmentation | Based On Multiple Threshold And Textural Measurement |
| Neural Network Based Scheme For Unsupervised Video Object | segmentation | , A |
| New Approach For Image | segmentation | , A |
| New Approach Of Color Image(S) | segmentation | Based On Fusing Region And Edge Segmentation( |
| New Approach Of Color Image(S) | segmentation | Based On Fusing Region And Edge Segmentation( |
| New Automatic Multi-Level Thresholding Technique For | segmentation | Of Thermal Images |
| New Chromatic Edge Detection Used For Color Image | segmentation | , A |
| New Method For Image | segmentation | , A |
| New Method For Image | segmentation | , A |
| New Minimum Variance Region Growing Algorithm For Image | segmentation | , A |
| New Paradigm For | segmentation | , A |
| New Shape | segmentation | Algorithm For Active Vision Systems, A |
| New Stochastic Model-Based Image | segmentation | Technique For Mr Image, A |
| New Subband Geometries For Image Texture | segmentation | |
| New Topological Operators For | segmentation | |
| New Way Of Image Data Fusion: The Multi-Spectral Cooperative | segmentation | , A |
| Node Linking Strategies In Pyramids For Image | segmentation | |
| Non Supervised | segmentation | Using Multi-Level Markov Random Fields |
| Non-Parametric Similarity Measures For Unsupervised Texture | segmentation | And Image Retrieval |
| Nonlinear Image Labeling For Multivalued | segmentation | |
| Nonlinear Multiscale Representations For Image | segmentation | |
| Nonlinear Operators For Improving Texture | segmentation | Based On Features Extracted By Spatial Filtering |
| Nonparametric | segmentation | Of Curves Into Various Representations |
| Normalized Cuts And Image | segmentation | |
| Note On Using The Fractal Dimension For | segmentation | , A |
| Object Detection And Identification By Hierarchical | segmentation | |
| Object Detection And Tracking Using An Em-Based Motion Estimation And | segmentation | Framework |
| Object Detection In Outdoor Scenes By Disparity Map | segmentation | |
| Object Recognition From Range Data Prior To | segmentation | |
| Object | segmentation | And Binding Within A Biologically-Based Neural Network Model Of Depth-From-Occlusion |
| On Hierarchical Color | segmentation | And Applications |
| On The Color Image | segmentation | Algorithm Based On The Thresholding And The Fuzzy C-Means Techniques |
| On Topological Deep-Structure | segmentation | |
| Open Curve | segmentation | Via A Two-Phase Scheme |
| Optic Flow Field | segmentation | And Motion Estimation Using A Robust Genetic Partitioning Algorithm |
| Optic Flow | segmentation | As An Ill-Posed And Maximum Likelihood Problem |
| Optical Flow Calculation From Feature Space Analysis Through An Automatic | segmentation | Process |
| Optical Flow Estimation And Moving Object | segmentation | Based On Median Radial Basis Function Network |
| Optimal Gabor Filters For Texture | segmentation | |
| Optimal Graph Theoretic Approach To Data Clustering: Theory And Its Application To Image | segmentation | , An |
| Optimal Multiple Threshold Scheme For Image | segmentation | , An |
| Optimal Parallel Algorithm For Digital Curve | segmentation | , An |
| Optimal Region Growing Algorithm For Image | segmentation | , An |
| Optimal Set Of Image | segmentation | Rules, An |
| Optimization Approach To Unsupervised Hierarchical Texture | segmentation | , An |
| Orientation And Resolution Independent Texture Classifier In | segmentation | Of Images Of Unknown Rotation And Scale, An |
| Orientation Radiograms For Image Retrieval: An Alternative To | segmentation | |
| Orientation Space Filtering For Multiple Orientation Line | segmentation | |
| Outdoor Landmark Recognition Using | segmentation | , Fractal Model And Neural Network |
| Parallel Algorithm For Stochastic Image | segmentation | , A |
| Parallel Image | segmentation | Algorithm Using Relaxation With Varying Neighborhoods And Its Mapping To Array Processors, A |
| Parallel Image | segmentation | Using Modified Hopfield Model |
| Parallel Marker-Based Image | segmentation | With Watershed Transformation |
| Parallel Structure Recognition With Uncertainty: Coupled | segmentation | And Matching |
| Parallel Technique For Three-Dimensional Image | segmentation | , A |
| Parameter Estimation And | segmentation | Of Noisy Or Textured Images Using The Em Algorithm And Mpm Estimation |
| Parameter Estimation In Hidden Fuzzy Markov Random Fields And Image | segmentation | |
| Parameter Estimation, Multiscale Representation And Algorithms For Energy-Minimizing | segmentation | s |
| Part | segmentation | For Object Recognition |
| Part | segmentation | From 2d Edge Images By The Mdl Criterion |
| Part | segmentation | From Stereo |
| Partially Supervised Clustering For Image | segmentation | |
| Particle System Model For Combining Edge Information From Multiple | segmentation | Modules, A |
| Pattern Classification Algorithms For Real-Time Image | segmentation | |
| Pattern Classification Approach To Multilevel Thresholding For Image | segmentation | , A |
| Perceptual Organization For Scene | segmentation | And Description |
| Perceptual Organization For | segmentation | And Description |
| Perceptual Smoothing And | segmentation | Of Colour Textures |
| Performing | segmentation | Of Ultrasound Images Using Temporal Information |
| Physics-Based | segmentation | Of Complex Objects Using Multiple Hypotheses Of Image Formation |
| Physics-Based | segmentation | : Looking Beyond Color |
| Physics-Based | segmentation | : Moving Beyond Color |
| Picture | segmentation | With Introducing An Anisotropic Preliminary Step To An Mrf Model With Cellular Neural Networks |
| Piecewise Linear | segmentation | Of Digital Contours In $O$($N$ Log $N$) Through A Technique Based On Effective Digital Curvature Estimation |
| Planar Curve | segmentation | For Recognition Of Partially Occluded Shapes |
| Planar Facet(S) | segmentation | Using ( |
| Plume | segmentation | Using Local Entropic Thresholding |
| Polymorphic Grouping For Image | segmentation | |
| Polynomial Shift-Invariant Operators For Texture | segmentation | |
| Precision Tracking Based On | segmentation | With Optional Layering For Imaging Sensors |
| Prediction Intervals For Surface Growing Range | segmentation | |
| Probabilistic Information Fusion For Multi-Modal Image | segmentation | |
| Probabilistic Multiscale Image | segmentation | |
| Probabilistic | segmentation | Of Partial Volume Voxels |
| Psychovisually-Based Multiresolution Image | segmentation | |
| Pyramid | segmentation | In 2d And 3d Images Using Local Optimization |
| Pyramid-Based Approach To | segmentation | Applied To Region Matching, A |
| Pyramid-Based Image | segmentation | Using Multisensory Data |
| Quadtree Approach To Image | segmentation | Which Combines Statistical And Spatial Information, A |
| Quantitative Comparison Of The Performance Of Sar | segmentation | Algorithms |
| Quantitative Evaluation Of Color Image | segmentation | Results |
| Quantitative Methods Of Evaluating Image | segmentation | |
| Radar Image | segmentation | Using Self-Adaptive Recurrent Networks |
| Range Image | segmentation | |
| Range Image | segmentation | And Fitting By Residual Consensus |
| Range Image | segmentation | Based On 2d Quadratic Function Approximation |
| Range Image | segmentation | Based On Differential Geometry: A Hybrid Approach |
| Range Image | segmentation | By Dynamic Neural Network Architecture |
| Range Image | segmentation | From Equidistance Contours |
| Range Image | segmentation | With Applications To Robot Bin-Picking Using Vacuum Gripper |
| Range Image | segmentation | : The User'S Dilemma |
| Range | segmentation | Using Focus Cues |
| Range Surface Characterization And | segmentation | Using Neural Networks |
| Range-Data-Based Object Surface | segmentation | Via Edges And Critical Points |
| Real-Time Range Image | segmentation | Using Adaptive Kernels And Kalman Filtering |
| Real-Time | segmentation | Of Video On A Multiprocessor Platform |
| Recognition Of Line Shapes Based On Thinning, | segmentation | With Good Connectivity Algorithms, And Regularization |
| Recursive Clustering Technique For Color Picture | segmentation | , A |
| Recursive Estimation Approach To The | segmentation | Of Mr Imagery, A |
| Recursive Estimation Of Parameters Of Straight Lines And Circles: Application To The | segmentation | Of (The) Rey'S Complex Figure, A |
| Recursive Image Sequence | segmentation | By Hierarchical Models |
| Recursive Thresholding Technique For Image | segmentation | , A |
| Refinement Of Disparity Estimates Through The Fusion Of Monocolar Image | segmentation | s |
| Refinement Of Disparity Estimates Through The Fusion Of Monocular Image | segmentation | s |
| Region Based Image | segmentation | Using Stochastic Image Models |
| Region Competition: Unifying Snakes, Region Growing, And Bayes/Mdl For Multiband Image | segmentation | |
| Region Competition: Unifying Snakes, Region Growing Energy/Bayes/Mdl For Multi-Band Image | segmentation | |
| Region Extraction Approach To Blood Smear | segmentation | , A |
| Region Growing And Merging Algorithm To Color | segmentation | , A |
| Region | segmentation | Of Biomedical Tissue Image Using Color Texture Feature |
| Region | segmentation | Using Edge Based Circle Growing |
| Region | segmentation | Using K-Mean Clustering And Genetic Algorithms |
| Region-Based Parametric Motion | segmentation | Using Color Information |
| Region-Based Spatio-Temporal | segmentation | Algorithm, A |
| Region-Level Graph Labeling Approach To Motion-Based | segmentation | , A |
| Region-Region And Region-Edge Cooperative Approach Of Image | segmentation | , A |
| Reinforcement Learning Integrated Image | segmentation | And Object Recognition |
| Relaxation Method For Image | segmentation | Using A Spatially Dependent Stochastic Model, A |
| Relaxation Methods For Supervised Image | segmentation | |
| Representation And | segmentation | Of A Cluttered Scene Using Fused Edge And Surface Data |
| Restoration Of Dendrites And Spines With The Objective Of Topologically Correct | segmentation | |
| Results Using Random Field Models For The | segmentation | Of Color Images |
| Review Of Recent Texture | segmentation | And Feature Extraction Techniques, A |
| Review Of | segmentation | And Contextual Analysis Techniques For Text Recognition, A |
| Review On Image | segmentation | Techniques, A |
| Revision Of Pyramid | segmentation | , A |
| Ri-Minace Filters To Augment | segmentation | Of Touching Objects |
| Rigid Body | segmentation | And Shape Description From Dense Optical Flow Under Weak Perspective |
| Rigid Body | segmentation | And Shape Description From Dense Optical Flow Under Weak Perspective |
| Robust Adaptive | segmentation | Of Range Images |
| Robust Analysis Of Feature Spaces: Color Image | segmentation | |
| Robust And Accurate Image | segmentation | Using Deformable Templates In Scale Space |
| Robust And Adaptive | segmentation | Of Noisy Images Using Gibbs Random Field Models |
| Robust Automatic Clustering Scheme For Image | segmentation | Using Wavelets, A |
| Robust Color | segmentation | Using The Dichromatic Reflection Model |
| Robust Estimation For Range Image | segmentation | And Reconstruction |
| Robust Image | segmentation | Using Genetic Algorithm With A Fuzzy Measure |
| Robust Markovian | segmentation | Based On Highest Confidence First Hcf, A |
| Robust Method For Picture | segmentation | Based On A Split-And-Merge Procedure, A |
| Robust Method For Registration And | segmentation | Of Multiple Range Images, A |
| Robust Range | segmentation | |
| Robust Region Merging For Spatio-Temporal | segmentation | |
| Robust | segmentation | Of Moving Image Sequences |
| Robust | segmentation | Of Noisy Images Using A Neural Network Model |
| Role Of Model-Based | segmentation | In The Recovery Of Volumetric Parts From Range Data, The |
| Rule-Based Image | segmentation | : A Dynamic Control Strategy Approach |
| Rule-Based Interpretation System For | segmentation | Of Seismic Images, A |
| Rule-Based Method For Object | segmentation | In Video Sequences, A |
| Rule-Based System For Improving On Image | segmentation | , A |
| Scale And | segmentation | Of Grey-Level Images Using Maximum Gradient Paths |
| Scale-Based Robust Image | segmentation | |
| Scene | segmentation | And Volumetric Descriptions Of Shgc'S From A Single Intensity Image |
| Scene | segmentation | From 3d Motion |
| Scene | segmentation | From Visual Motion Using Global Optimization |
| Second-Order Implicit Polynomials For | segmentation | Of Range Images |
| Sectored Snakes: Evaluating Learned-Energy | segmentation | s |
| Sectored Snakes: Evaluating Learned-Energy | segmentation | s |
| Seethalakshmy, P. Srivastava, And J. Majumdar, Multi-Modal Image | segmentation | Using A Modified Hopfield Neural Network |
| segmentation | Algorithm For Color Images, A |
| segmentation | Algorithm For Noisy Images: Design And Evaluation, A |
| segmentation | Algorithm Of Polyhedral Scene Using Three Dimensional Information, A |
| segmentation | And 2d Motion Estimation By Region Fragments |
| segmentation | And 3-D Recovery Of Curved-Axis Generalized Cylinders From An Intensity Image |
| segmentation | And Analysis Of 3d Volume Images |
| segmentation | And Association Among Lines And Junctions For A Line Image |
| segmentation | And Classification Of Edges Using Minimum Description Length Approximation And Complementary Junction Cues |
| segmentation | And Classification Of Range Images |
| segmentation | And Classification Of Range Images |
| segmentation | And Contour Closing Of Textured And Non-Textured Images Using Distances Between Textures |
| segmentation | And Description Based On Perceptual Organization |
| segmentation | And Description Of Binocularly Viewed Contours |
| segmentation | And Estimation Of Image Motion By A Robust Method |
| segmentation | And Factorization-Based Motion And Structure Estimation For Long Image Sequences |
| segmentation | And Feature Extraction Of Handwritten Signature Patterns |
| segmentation | And Grouping Of Object Boundaries Using Energy Minimization |
| segmentation | And Object Extraction Algorithm With Linear Memory And Time Constraints, A |
| segmentation | And Preprocessing Of Electrical Schematics Using Picture Graphs |
| segmentation | And Recognition In Visual Chromatic Spaces |
| segmentation | And Recognition Of Symbols For Handwritten Piping And Instrument Diagram |
| segmentation | And Recovery Of Shgcs From A Real Intensity Image |
| segmentation | As A Riemannian Drum Problem |
| segmentation | As The Search For The Best Description Of The Image In Terms Of Primitives |
| segmentation | Based On Measures Of Contrast, Homogeneity, And Region Size |
| segmentation | Based On Region-Tracking In Image Sequences For Traffic Monitoring |
| segmentation | Between Overlapping Parts: The Moving Shadows Approach |
| segmentation | By Grouping Junctions |
| segmentation | By Minimal Description |
| segmentation | By Minimum Length Encoding |
| segmentation | By Nonlinear Diffusion |
| segmentation | By Nonlinear Diffusion, Ii |
| segmentation | Characterization For Change Detection |
| segmentation | In Dynamic Image Sequences By Isolation Of Coherent Wave Profiles |
| segmentation | Method Based On Fuzzy Topology And Clustering, A |
| segmentation | Method Based On Motion From Image Sequence And Depth, A |
| segmentation | Of 2d And 3d Images Through A Hierarchical Clustering Based On Region Modelling |
| segmentation | Of 2d And 3d Images Through A Hierarchical Clustering Based On Region Modelling |
| segmentation | Of 3-D Range Images Using Pyramidal Data Structures |
| segmentation | Of 3-D Textured Images Using Continuous Wavelet Transform |
| segmentation | Of 3d Range Images Using Pyramidal Data Structures |
| segmentation | Of 3d-Volumes Using Second Derivatives |
| segmentation | Of A Head Into Face, Ears, Neck And Hair For Knowledge-Based Analysis-Synthesis Coding Of Videophone Sequences |
| segmentation | Of A High-Resolution Urban Scene Using Texture Operators |
| segmentation | Of A Seismic Section Using Image Processing And Artificial Intelligence Techniques |
| segmentation | Of An Image Sequence Using Multi-Dimensional Image Attributes |
| segmentation | Of Bilevel Images Using Mathematical Morphology |
| segmentation | Of Binary Images Using Third-Order Markov Mesh Models |
| segmentation | Of Blood Smears By Hierarchical Thresholding |
| segmentation | Of Deformable Templates With Level Sets Characterized By Particle Systems |
| segmentation | Of Digital Plane Curves: A Dynamic Focusing Approach |
| segmentation | Of Diverse Image Types Using Opening And Closing |
| segmentation | Of Echocardiographic Images |
| segmentation | Of Edges Into Lines And Arcs |
| segmentation | Of Fingerprint Images Using The Directional Image |
| segmentation | Of Frame Sequences Obtained By A Moving Observer |
| segmentation | Of Gabor-Filtered Textures Using Deterministic Relaxation |
| segmentation | Of Geometric Signals Using Robust Fitting |
| segmentation | Of Handwritten Characters |
| segmentation | Of Handwritten Signature Images Using The Statistics Of Directional Data |
| segmentation | Of Images Based On Intensity Gradient Information |
| segmentation | Of Magnetic Resonance Brain Image: Integrating Region Growing And Edge Detection |
| segmentation | Of Moving Objects By Robust Motion Parameter Estimation Over Multiple Frames |
| segmentation | Of Mr Images Using Curve Evolution And Prior Information |
| segmentation | Of Mr Images With Intensity Inhomogeneities |
| segmentation | Of Multibeam Acoustic Imagery In The Exploration Of The Deep Sea-Bottom |
| segmentation | Of Multidimensional Images |
| 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 Natural Images For Cbir |
| segmentation | Of Natural Images Using An Isotropic Diffusion And Linking Of Boundary Edges |
| segmentation | Of Natural Scenes |
| segmentation | Of Object Surfaces Using The Haar Wavelet At Multiple Resolutions |
| segmentation | Of Optical Flow And 3d Data For The Interpretation Of Mobile Objects |
| segmentation | Of Optical Flow Fields By Pyramid Linking |
| segmentation | Of People In Motion |
| segmentation | Of Planar Curves Into Circular Arcs And Line Segments |
| segmentation | Of Planar Curves Into Straight-Line Segments And Elliptical Arcs |
| segmentation | Of Planar Curves Into Straight-Line Segments And Elliptical Arcs |
| segmentation | Of Polarimetric Synthetic Aperture Radar Data |
| segmentation | Of Random Fields Viaborrowed Strength Density Estimation |
| segmentation | Of Range And Intensity Images Using Multiscale Markov Random Field Representations |
| segmentation | Of Range Data Into Rigid Subsets Using Surface Patches |
| segmentation | Of Range Images |
| segmentation | Of Range Images As The Search For Geometric Parametric Models |
| segmentation | Of Range Images Into Planar Surfaces By Split And Merge |
| segmentation | Of Range Images Via Data Fusion And Morphological Watersheds |
| segmentation | Of Range Images: An Orthogonal Moment-Based Integrated Approach |
| segmentation | Of Road Scenes Using Color And Fractal-Based Texture Classification |
| segmentation | Of Surface Curvature Using A Photometric Invariant |
| segmentation | Of Textured Images |
| segmentation | Of Textured Images |
| segmentation | Of Textured Images And Gestalt Organization Using Spatial/Spatial-Frequency Representations |
| segmentation | Of Textured Images By Pyramid Linking |
| segmentation | Of Textured Images Using Gibbs Random Fields |
| segmentation | Of The Needle Map Of Objects With Curved Surfaces |
| segmentation | Of Thinned Binary Scenes With Good Connectivity Algorithms |
| segmentation | Of Three-Dimensional Surfaces |
| segmentation | Of Two-Dimensional Boundaries Using The Chain Code |
| segmentation | Of Two-Dimensional Curve Contours |
| segmentation | Of Urban Scenes From Aerial Stereo Imagery |
| segmentation | Of Video By Clustering And Graph Analysis |
| segmentation | Of Visual Motion By Minimizing Convex Non-Quadratic Functionals |
| segmentation | Of Volume Images Using A Multiscale Transform |
| segmentation | Through Symbolic Surface Descriptions |
| segmentation | Through Variable-Order Surface Fitting |
| segmentation | Using Contrast And Homogeneity Measures |
| segmentation | Using Spatial-Feature Clustering From Image Sequences |
| segmentation | Via Manipulation |
| segmentation | , Grouping And Feature Detection For Face Image Analysis |
| segmentation | , Matching And Estimation Of Structure And Motion Of Textured Piecewise Planar Surfaces |
| segmentation | -Based Nonlinear Image Smoothing |
| Selection And Use Of Image Features For | segmentation | Of Boundary Images |
| Self-Inducing Relational Distance And Its Application To Image | segmentation | |
| Self-Optimizing Control System For Adaptive Image | segmentation | |
| 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 |
| Sequential Piecewise-Linear | segmentation | Of Binary Contours |
| Shadow | segmentation | And Classification In A Constrained Environment |
| Shape Representation And Image | segmentation | Using Deformable Surfaces |
| Shape Representation And Image | segmentation | Using Deformable Surfaces |
| Simd Algorithm For Range Image | segmentation | , An |
| Simplified Approach To (The) Hmm Based Texture Analysis And Its Application To Document | segmentation | , A |
| Simplified Gaussian And Mean Curvatures To Range Image | segmentation | |
| Simultaneous Motion Estimation And | segmentation | |
| Simultaneous Motion-Disparity Estimation And | segmentation | From Stereo |
| Simultaneous Optic Flow Estimation And | segmentation | By Means Of Ls Techniques |
| Simultaneous Optimal | segmentation | And Model Estimation Of Nonstationary Noisy Images |
| Simultaneous Parameter Estimation And | segmentation | Of Gibbs Random Fields Using Simulated Annealing |
| Simultaneous | segmentation | And Approximation Of Complex Patterns |
| Smoothness In Layers: Motion | segmentation | Estimation Using Nonparametric Mixture |
| Some Pyramid Techniques For Image | segmentation | |
| Some | segmentation | Processes For Application With A Spoke Filter |
| Spatial Thresholding Method For Image | segmentation | , A |
| Spatial/Spatial-Frequency Representations For Image | segmentation | And Grouping |
| Spatio-Spectral Dissimilarity Algorithm For Multiresolution Texture | segmentation | |
| Spatio-Temporal Continuous Wavelet Transforms For Motion-Based | segmentation | In Real Image Sequences |
| Spatio-Temporal Filters For Transparent Motion | segmentation | |
| Spatio-Temporal | segmentation | Based On Motion And Static Segmentation |
| Spatio-Temporal | segmentation | Based On Motion And Static Segmentation |
| Spatiotemporal | segmentation | Based On Region Merging |
| Spatiotemporally Adaptive Estimation And | segmentation | Of Of Fields |
| Split And Merge Algorithm For | segmentation | Of Natural Scenes, A |
| Split-And-Merge Image | segmentation | Based On Localized Feature Analysis And Statistical Tests |
| Split-And-Merge | segmentation | Employing Thresholding Technique |
| Split-And-Merge | segmentation | Of Aerial Photographs |
| Split-And-Merge | segmentation | Of Slar Imagery: Segmentation Consistency |
| Split-And-Merge | segmentation | Of Slar Imagery: Segmentation Consistency |
| Split-Merge-Merge: An Enhanced | segmentation | Capability |
| Stabilized Inverse Diffusion Equations And | segmentation | Of Vector-Valued Images |
| Statistical Method For Efficient | segmentation | Of Mr Imagery, A |
| Statistical Model-Based | segmentation | Of Deformable Motion |
| Stimulus-Driven | segmentation | By Gaussian Functions |
| Stochastic And Deterministic Networks For Texture | segmentation | |
| Stochastic Dynamical System For Image | segmentation | , A |
| Stochastic Image | segmentation | Using Spatial-Temporal Context |
| Stochastic Model Based Technique For Texture | segmentation | , A |
| Stochastic Relaxation On Partitions With Connected Components And Its Application To Image | segmentation | |
| Structural Motion | segmentation | Based On Probabilistic Clustering |
| Structural Texture | segmentation | Using Irregular Pyramid |
| Study Of A Convex Variational Diffusion Approach For Image | segmentation | And Feature Extraction, A |
| Supervised | segmentation | By Pairwise Interactions: Do Gibbs Models Learn What We Expect? |
| Supervised Textured Image | segmentation | Using Feature Smoothing And Probabilistic Relaxation Techniques |
| Supervised-Learning Approach To Image | segmentation | In Automated X-Ray Testing |
| Surface And Volumetric | segmentation | Of Range Images Using Biquadrics And Superquadrics |
| Surface Approximation And | segmentation | Of Objects With Unknown Topology |
| Surface | segmentation | And Description From Curvature Features |
| Surface | segmentation | And Modeling Of 3-D Polygonal Objects From Stereoscopic Image Pairs |
| Surface | segmentation | From Stereo |
| Survey On Evaluation Methods For Image | segmentation | , A |
| Symbolic Fusion Of Hue-Chroma-Intensity Features For Region | segmentation | |
| Syntactic Method For Image | segmentation | And Object Recognition, A |
| Syntactic Method For Image | segmentation | And Object Recognition, A |
| Systematic Way For Region-Based Image | segmentation | Based On Markov Random Field Model, A |
| Systolic Array Implementation Of Image | segmentation | By A Directed Split And Merge Procedure |
| Task-Directed Evaluation Of Image | segmentation | Methods |
| Template Matching Used In Time Contextual | segmentation | |
| Texture Classification And | segmentation | Algorithms In Man And Machine |
| Texture Classification And | segmentation | Based On Iterative Morphological Decomposition |
| Texture Classification And | segmentation | By Cellular Neural Networks Using Genetic Learning |
| Texture Classification And | segmentation | Using Multiresolution Simultaneous Autoregressive Models |
| Texture Classification And | segmentation | Using Wavelet Frames |
| Texture Description And | segmentation | Through Fractal Geometry |
| Texture Extraction And | segmentation | Via Statistical Geometric Features |
| Texture Feature Performance For Image | segmentation | |
| Texture Image Classification And | segmentation | Using Rank-Order Clustering |
| Texture Image | segmentation | : A Local Spectral Mapping Approach |
| Texture Information-Directed Region Growing Algorithm For Image | segmentation | And Region Classification, A |
| Texture Models And Image Measures For | segmentation | |
| Texture Parametrization Method For Image | segmentation | |
| Texture | segmentation | And Region Classification By Orthogonal Decomposition Of Cooccurrence Matrices |
| Texture | segmentation | And Shape In The Same Image |
| Texture | segmentation | By Least Squares Filters |
| Texture | segmentation | By Minimizing Vector-Valued Energy Functionals: The Coupled-Membrane Model |
| Texture | segmentation | By Symmetric And Asymmetric Filters |
| Texture | segmentation | Method By Using Two-Dimensional Ar Model And Kullback Information |
| Texture | segmentation | Of Sar Images |
| Texture | segmentation | On Two High-Performance Computers |
| Texture | segmentation | Using 2-D Gabor Elementary Functions |
| Texture | segmentation | Using A Diffusion Region Growing Technique |
| Texture | segmentation | Using Circular-Mellin Operators |
| Texture | segmentation | Using Fractal Dimension |
| Texture | segmentation | Using Gabor Modulation/Demodulation |
| Texture | segmentation | Using Hierarchical Wavelet Decomposition |
| Texture | segmentation | Using Iterative Estimate Of Energy States |
| Texture | segmentation | Using Local Energy In Wavelet Scale Space |
| Texture | segmentation | Using Multiscale Hurst Features |
| Texture | segmentation | Using Shan[N]On Wavelet |
| Texture | segmentation | Using Topographic Labels |
| Texture | segmentation | Using Voronoi Polygons |
| Texture | segmentation | Using Voronoi Polygons |
| Texture | segmentation | Using Zero Crossings Information |
| Texture | segmentation | Via Haar Fractal Feature Estimation |
| Texture-Based Image | segmentation | |
| Texture-Based | segmentation | Using Markov Random Field Models And Approximate Bayesian Estimators Based On Trees |
| Textured Image | segmentation | As A Multiple Hypothesis Test |
| Textured Image | segmentation | Returning Multiple Solutions |
| Textured Image | segmentation | Using Autoregressive Model And Artificial Neural Network |
| Theory Of Parameter-Dependent Connected Components Of Gray Images And | segmentation | , A |
| Three Dimensional Mr Brain | segmentation | |
| Three Dimensional | segmentation | Of Volume Data |
| Three Processing Characteristics Of Visual Texture | segmentation | |
| Three-Dimensional Motion Compensation And Object | segmentation | In A Long Sequence Of Stereo Frames |
| Three-Dimensional | segmentation | Using A Split, Merge And Group Approach |
| Three-Dimensional Structure Texture Modeling And | segmentation | |
| Time-Constrained Clustering For | segmentation | Of Video Into Story Units |
| Tissue Image | segmentation | With Multicolor, Multifocal Algorithms |
| Toboggan Contrast Enhancement For Contrast | segmentation | |
| Topological | segmentation | Of Discrete Surfaces |
| Topological | segmentation | Of Discrete Surfaces |
| Toward Automatic Robot Instruction From Perception--Temporal | segmentation | Of Tasks From Human Hand Motion |
| Toward Color Image | segmentation | In Analog Vlsi: Algorithm And Hardware |
| Towards Physics-Based | segmentation | Of Photographic Color Images |
| Towards Real-Time Detection Of Discrete Straight Features With A Hybrid Technique Based On Preliminary Curve | segmentation | And Zoomed-Adaptive Parametric Mapping |
| Towards Visually Convincing Image | segmentation | |
| Tracking Multiple Moving Objects By Binary Object Forest | segmentation | |
| Tractability Of | segmentation | And Scene Analysis, The |
| Trainable Context Model For Multiscale | segmentation | |
| Transform For Multiscale Image | segmentation | By Integrated Edge And Region Detection, A |
| Two-Stage Neural Network For Volume | segmentation | Of Medical Images |
| Unified Approach For Image | segmentation | Using Exact Statistics, A |
| Unified Approach To | segmentation | Of Grey-Level And Dot-Pattern Images, A |
| Unified Mixture Framework For Motion | segmentation | : Incorporating Spatial Coherence And Estimating The Number Of Models, A |
| Unsuperivsed Texture | segmentation | In A Deterministic Annealing Framework |
| Unsupervised Bayesian Model-Learning With Application To Textured And Polynomial Image | segmentation | |
| Unsupervised Feature Reduction In Image | segmentation | By Local Karhunan-Loeve Transform |
| Unsupervised Feature Reduction In Image | segmentation | By Local Transforms |
| Unsupervised Image | segmentation | Based On A Self-Organizing Feature Map And A Texture Measure |
| Unsupervised Image | segmentation | Based On The Comparison Of Local And Regional Histograms |
| Unsupervised Image | segmentation | Using A Distributed Genetic Algorithm |
| Unsupervised Image | segmentation | Using An Unlabeled Region Process |
| Unsupervised Image | segmentation | Using The Minimum Description Length Principle |
| Unsupervised Image | segmentation | Using The Modified Pyramidal Linking Approach |
| Unsupervised Multiresolution Texture | segmentation | Using Wavelet Decomposition |
| Unsupervised Multistage | segmentation | Using Markov Random Field And Maximum Entropy Principle |
| Unsupervised Regions | segmentation | : Real Time Control Of An Upkeep Machine Of Natural Spaces |
| Unsupervised | segmentation | Based On Multi-Resolution Analysis, Robust Statistics And Majority Game Theory |
| Unsupervised | segmentation | Based On Multi-Resolution Analysis, Robust Statistics And Majority Game Theory |
| Unsupervised | segmentation | Based On Robust Estimation And Cooccurrence Data |
| Unsupervised | segmentation | By Use Of A Texture Gradient |
| Unsupervised | segmentation | Of Color Images |
| Unsupervised | segmentation | Of Gray Level Markov Model Textures With Hierarchical Self Organizing Maps |
| Unsupervised | segmentation | Of Markov Random Field Modeled Textured Images Using Selectionist Relaxation |
| Unsupervised | segmentation | Of Multisensor Images Using Generalized Hidden Markov Chains |
| Unsupervised | segmentation | Of Noisy And Textured Images Using Markov Random Fields |
| Unsupervised | segmentation | Of Textured Color Images Using Markov Random Field Models |
| Unsupervised | segmentation | Of Textured Image Using Markov Random Field In Random Spatial Interaction |
| Unsupervised | segmentation | Of Textured Images |
| Unsupervised | segmentation | Of Textured Images By Edge Detection In Multidimensional Features |
| Unsupervised | segmentation | Of Textured Images By Pairwise Data Clustering |
| Unsupervised Texture Based Image | segmentation | By Simulated Annealing Using Markov Random Field And Potts Models |
| Unsupervised Texture | segmentation | Algorithm With Feature Space Reduction And Knowledge Feedback, An |
| Unsupervised Texture | segmentation | By Hebbian Learnt Cortical Cells |
| Unsupervised Texture | segmentation | For Multispectral Remote-Sensing Images |
| Unsupervised Texture | segmentation | Of Images Using Tuned Matched Gabor Filters |
| Unsupervised Texture | segmentation | Using Gabor Filters |
| Unsupervised Texture | segmentation | Using Markov Random Field Models |
| Unsupervised Texture | segmentation | Using Multichannel Decomposition And Hidden Markov Models |
| Unsupervised Texture | segmentation | Using Selectionist Relaxation |
| Unsupervised Texture | segmentation | Using Stochastic Version Of The Em Algorithm And Data Fusion |
| Unsupervised Texture | segmentation | Using Tuned Filters In Gaborian Space |
| Unsupervised Texture | segmentation | Via Wavelet Transform |
| Unsupervised Textured Image | segmentation | Using Feature Smoothing And Probabilistic Relaxation Techniques |
| Use Of Compound Predicates In Split-And-Merge | segmentation | |
| Use Of Gibbs Random Fields For Image | segmentation | , The |
| Use Of | segmentation | And Shape Recognition Techniques In Synthetic Aperture Radar Images, The |
| Use Of Variance And Entropic Thresholding Methods For Image | segmentation | , The |
| User-Steered Image | segmentation | Paradigms: Live Wire And Live Lane |
| Validation Of The Interleaved Pyramid For The | segmentation | Of 3d Vector Images |
| Variable Pyramid Structures For Image | segmentation | |
| Variational Image | segmentation | Using Boundary Functions |
| Variational Methods In Image | segmentation | , Birkhauser |
| Variational | segmentation | Of Multi-Channel Mri Images |
| Vector (Self) Snakes: A Geometric Framework For Color, Texture And Multiscale Image | segmentation | |
| Vehicle | segmentation | And Classification Using Deformable Templates |
| Vehicle | segmentation | Using Deformable Templates |
| Very Efficient Strategy For Very Large Data Sets Clustering-Application To Image | segmentation | , A |
| Video Object Plane | segmentation | Using A Morphological Motion Filter And Hausdorff Object Tracking |
| Video Object | segmentation | Introducing Depth And Motion Information |
| Video Scene | segmentation | Via Continuous Video Coherence |
| View-Based Hand | segmentation | And Hand-Sequence Recognition With Complex Backgrounds |
| Visual Collison Avoidance By | segmentation | |
| Visual Surface | segmentation | From Stereo |
| Vlsi Design And Implementation Of A Real-Time Image | segmentation | Processor |
| Volumetric Layer | segmentation | Using Coupled Surface(S) Propagation |
| Volumetric | segmentation | Of Medical Images By Three-Dimensional Bubbles |
| Volumetric | segmentation | Of Range Images Of 3d Objects Using Superquadric Models |
| Volumic | segmentation | Using Hierarchical Representation And Triangulated Surface |
| Watershed-Based Image | segmentation | With Fast Region Merging |
| Watershed-Driven Relaxation Labeling For Image | segmentation | |
| Wavelet Based Automatic Thresholding For Image | segmentation | |
| Wavelet Based Texture | segmentation | Of Multi-Modal Tomographic Images |
| Wavelet Features For Statistical Object Localization Without | segmentation | |
| Wold Features For Unsupervised Texture | segmentation | |
| X. Yu) And J. Yla-Jaaski, Unsupervised Texture | segmentation | Based On The Modified Markov Random Field Model |
| X. Yu), J. Yla-Jaaski, And (B. Yua |
| X. Yu), J. Yla-Jaaski, O. Huttunen, T. Vehkomaki, O. Sipila, And T. Katila, Image | segmentation | Combining Region Growing And Edge Detection |
| X.Q. Ye), (Z.H. Huan |
| Z-Shaped Nonlinear Transform For Image | segmentation | And Classification In Intelligent Debris Analysis, A |
| Z-Trees: Adaptive Pyramid-Algorithms For Image | segmentation | |
| ``Ratio Regions'': A Technique For Image | segmentation | |
1046 for segmentation
| _ | sensor | _ |
|---|
| 26th Aipr Workshop: Exploiting New Image Sources And | sensor | s, Washington, Dc |
| 3-D Measurement Strategy Based On A Projection Invariance Motion Analysis With An Artificial Retina | sensor | |
| 3-D | sensor | System For Teaching Robot Paths And Environments, A |
| 3d Object Depth Recovery From Highlights Using Active | sensor | And Illumination Control |
| A.1. | sensor | s and optics |
| A.1. | sensor | s and optics |
| About The Adjective ``Neural'' When Applied To Smart | sensor | s |
| Acquisition And Interpretation Of 3-D | sensor | Data From Touch |
| Acquisition And Interpretation Of 3-D | sensor | Data From Touch |
| Active, Optical Range Imaging | sensor | s |
| Adaptive Sensitivity Ccd Image | sensor | |
| Advanced Visual | sensor | Systems |
| Advanced Visual | sensor | Systems |
| Advances In Cooperative Multi- | sensor | Video Surveillance |
| Analytical Characterization Of The Feature Detectability Constraints Of Resolution, Focus, And Field Of View For Vision | sensor | Planning |
| Applying | sensor | Models To Automatic Generation Of Object Recognition Programs |
| Auto-Calibration Of Visual | sensor | Parameters On A Robotic Head |
| Automatic Correlation And Calibration Of Noisy | sensor | Readings Using Elite Genetic Algorithms |
| Automatic Eo/Ir | sensor | Image Registration, Icip-B |
| Automatic | sensor | And Light Source Positioning For Machine Vision |
| Automatic | sensor | Placement For Accurate Dimensional Inspection |
| Automatic | sensor | Placement From Vision Task Requirements |
| Avoidance Of Obstacles With Unknown Trajectories: Locally Optimal Paths And Periodic | sensor | Readings |
| B.3 | sensor | s and optics |
| B.3. | sensor | s and optics |
| B.3. | sensor | s and optics |
| B.4. | sensor | s and optics |
| Bayesian Approach To Optimal | sensor | Placement, A |
| Biological And Cognitive Foundations Of Intelligent | sensor | Fusion |
| Building A Sonar Map In A Specular Environment Using A Single Mobile | sensor | |
| Calibration Of A Computer-Controlled Robotic Vision | sensor | With A Zoom Lens |
| Calibration Of Wrist-Mounted Robotic | sensor | s By Solving Homogeneous Transform Equations Of The Form Ax = Xb |
| Color Reflectance Modeling Using A Polychromatic Laser Range | sensor | |
| Combining Sonar And Infrared | sensor | s For Mobile Robot Navigation |
| Comment On ``Consistent Integration And Propagation Of Disparate | sensor | Observations'' By H.F. Durrant-Whyte. |
| Comments On ``Dynamic Multi- | sensor | Data Fusion System For Intelligent Robots'' |
| Compact Integrated Motion | sensor | With Three-Pixel Interaction |
| Computation Of Ego-Motion And Structure From Visual And Inertial | sensor | s Using The Vertical Cue |
| Computational Methods For Task-Directed | sensor | Data Fusion And Planning |
| Computational | sensor | s (Darpa Workshop, Philadelphia, Pa, May 11-12, 1992) |
| Computational | sensor | s For Global Operations |
| Computing Swept Volumes For | sensor | Planning Tasks |
| Conformal Transplantation Of Lightness To Varying Resolution | sensor | s |
| Consistent Integration And Propagation Of Disparate | sensor | Observations |
| Cooperative Multi- | sensor | Video Surveillance |
| Criteria Of Template Matching And Image | sensor | Noise Analysis |
| Darpa Automatic | sensor | Interpretation Workshop (Fairfax, Va, September 30 - October 2, 1993) |
| Decision-Theoretic Cooperative | sensor | Planning |
| Decision-Theoretic Cooperative | sensor | Planning |
| Dempster-Shafer Theory For | sensor | Fusion In Autonomous Mobile Robots |
| Design Considerations For A Space-Variant Visual | sensor | With Complex-Logarithmic Geometry |
| Detection And Three-Dimensional Localization By Stereoscopic Visual | sensor | And Its Application To A Robot For Picking Asparagus |
| Developing Robotic Systems With Multiple | sensor | s |
| Differentiating Sonar Reflections From Corners And Planes By Employing An Intelligent | sensor | |
| Direct Processing Of Curvilinear | sensor | Motion From A Sequence Of Perspective Images |
| Direct Surface Reconstruction From A Moving | sensor | |
| Dynamic Path Planning In | sensor | -Based Terrain Acquisition |
| Dynamic | sensor | Planning |
| Dynamic | sensor | -Based Control Of Robots With Visual Feedback |
| Eds. | sensor | Fusion: Spatial Reasoning And Scene Interpretation (Cambridge, Ma, November 7-9 |
| Electrooptical Orientation | sensor | For Robotics, An |
| Employing | sensor | Repositioning To Refine Spatial Reasoning In An Industrial Robotic Environment |
| Estimating Image Motion From Smear: A | sensor | System And Extensions |
| Estimation Of Depth From Motion Using An Anthropomorphic Visual | sensor | |
| Estimation Of Object And | sensor | Motion In Infrared Image Sequences |
| Experimental Implementation Of A Ratio Image Depth | sensor | |
| Experiments With The Intensity Ratio Depth | sensor | |
| Extraction Of Curved Surface Features With Generic Range | sensor | s, The |
| Extrinsic Calibration Of A Vision | sensor | Mounted On A Robot |
| Fast Method To Estimate | sensor | Translation, A |
| Fault Tolerant | sensor | Scheme, A |
| Feature Extraction Techniques For Recognizing Solid Objects With An Ultrasonic Range | sensor | |
| Finite | sensor | Effects For Estimating Structure-From-Motion |
| First National Symposium On | sensor | Fusion, Orlando, Fl |
| Forest Of | sensor | s, A |
| Forest Of | sensor | s: Using Adaptive Tracking To Classify And Monitor Activities In A Site |
| Framework For Implementing Multi- | sensor | Robotic Tasks, A |
| Framework For Multi- | sensor | Fusion In The Presence Of Uncertainty, A |
| Framework For Robot Motion Planning With | sensor | Constraints, A |
| From Accurate Range Imaging | sensor | Calibration To Accurate Model-Based 3-D Object Localization |
| From Pixels To Sequences: | sensor | s, Algorithms, And Systems, Zurich, Switzerland |
| Fully Autonomous Active | sensor | -Based Exploration Concept For Shape-Sensing Robots, A |
| Fully Decentralized Multi- | sensor | System For Tracking And Surveillance, A |
| Future European And Japanese Remote Sensing | sensor | s And Programs (Orlando, Fl, April 1-2 |
| Generation Of High-Resolution Stereo Panoramic Images By Omnidirectional Imaging | sensor | Using Hexagonal Pyramidal Mirrors |
| Geometric Feature Relation Graph Formulation For Consistent | sensor | Fusion, A |
| Global Feature Extraction Operations For Near- | sensor | Image Processing |
| Gss-A Fast, Model-Based Grey-Scale | sensor | System For Workpiece Recognition |
| Guest Eds., (Special Issue On) Advanced | sensor | s, Johns Hopkins Applied Physics Laboratory Technical Digest 16( |
| Guest Eds., Special Issue On | sensor | Fusion |
| Hierarchical Integration Of | sensor | Data And Contextual Information For Automatic Target Recognition |
| High-Resolution | sensor | Based On Tri-Aural Perception, A |
| High-Resolution Terrain Map From Multiple | sensor | Data |
| Hough Transform Analysis Of Data From A Planar Array Of Image | sensor | s |
| Ident/Vision (2nd International Conference On Applied Vision And Artificial Intelligence And 3rd International Confernce On Automatic Identification And | sensor | s); Rovisec (8th International Conference On Robot Vision And Sensory Contro |
| Ident/Vision (Fifth International Exhibition And Conference On Automatic Identification And | sensor | Technologies; Fourth International Exhibition And Conference On Applied Machine Vision And Artificial Intelligence), Stuttgart, Germany |
| Ident/Vision (Fourth International Exhibition And Conference On Automatic Identification And | sensor | s; Third International Exhibition And Conference On Applied Machine Vision And Artificial Intelligence), Stuttgart, Frg |
| Ident/Vision (Sixth International Exhibition And Conference On Automatic Identification And | sensor | Technologies; Fifth International Exhibition And Conference On Applied Machine Vision And Artificial Intelligence), Stuttgart, Germany |
| Improving Laser Triangulation | sensor | s Using Polarization |
| Incorporating Body Dynamics Into | sensor | -Based Motion Planning: The Maximum Turn Strategy |
| Industrial Optical | sensor | s For Metrology And Inspection (Boston, Ma, October 31 - November 1 |
| Inertial Navigation | sensor | Integrated Motion Analysis |
| Inertial Navigation | sensor | Integrated Motion Analysis For Autonomous Vehicle Navigation |
| Information Management In A | sensor | -Based Autonomous System |
| Integration, Coordination And Control Of Multi- | sensor | Robot Systems, Kluwer, Boston |
| Interactive | sensor | Planning |
| 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 |
| Interpretation Of Phase And Intensity Data From Amcn Light Detection | sensor | s For Reliable Ranging, The |
| Knowledge Caching For | sensor | -Based Systems |
| Machine Tool, In-Line, And Robot | sensor | s And Controls (Philadelphia, Pa, October 25-26 |
| Map Learning With Uninterpreted | sensor | s And Effectors |
| Map-Based Navigation For A Mobile Robot With Omnidirectional Image | sensor | Copis |
| Measuring Range Using A Triangulation | sensor | With Variable Geometry |
| Medium Level Scene Representation Using A Vlsi Smart Hexagonal | sensor | With Multiresolution Edge Extraction Capability And Scale Space Integration Processing |
| Model Based Recognition Of Specular Objects Using | sensor | Models |
| Model Based Recognition Of Specular Objects Using | sensor | Models |
| Model-Based Object Recognition Using A Large-Field Passive Tactile | sensor | |
| Model-Based Planning Of Optimal | sensor | Placements For Inspection |
| Modeling | sensor | Confidence For Sensor Integration Tasks |
| 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 The Vantage Geometric/Sensor Modeler |
| Modeling | sensor | Detectability With Vantage Geometric/Sensor Modeler |
| Modeling | sensor | Detectability With Vantage Geometric/Sensor Modeler |
| Modeling | sensor | s And Applying Sensor Model To Automatic Generation Of Object Recognition Program |
| Modeling | sensor | s And Applying Sensor Model To Automatic Generation Of Object Recognition Program |
| Modeling | sensor | s: Toward Automatic Generation Of Object Recognition Program |
| Modelling And Planning For | sensor | Based Intelligent Robot Systems, World Scientific |
| Motion Detection System Based On A Cmos Photo | sensor | Array, A |
| Multi- | sensor | Fusion: Fundamentals And Applications With Software, Prentice-Hall, Upper Saddle River |
| Multi- | sensor | Image Fusion |
| Multi- | sensor | Image Fusion Using The Wavelet Transform |
| Multi- | sensor | Integrated Intelligent Robot For Automated Assembly |
| Multi- | sensor | Representation Of Extended Scenes Using Multi-View Geometry |
| Multi- | sensor | Representation Of Extended Scenes Using Multi-View Geometry |
| Multidirectional Stereovision | sensor | , Calibration And Scene(S) Reconstruction |
| Multi | sensor | Integration-Experiments In Integrating Thermal And Visual Sensors |
| Musip Multi- | sensor | Image Processing System |
| Mvp | sensor | Planning System For Robot Vision Tasks, The |
| Natural And Artificial Compound Eye | sensor | s, Spie, Bellingham |
| Near- | sensor | Image Processing: A New Paradigm |
| New Anthropomorphic Retina-Like Visual | sensor | , A |
| Noise And Clutter Rejection In Radars And Imaging | sensor | s (Proceedings Of An International Symposium, Kyoto, Japan, November 14-16, 1989), North-Holland |
| Noise-Tolerant Algorithm For Robotic Hand-Eye Calibration With Or Without | sensor | Orientation Measurement, A |
| Non-Monotonic Decision Rules For | sensor | Fusion |
| Noncontact Optical Proximity | sensor | For Measuring Surface Shape, A |
| Object Localization With Multiple | sensor | s |
| Object Motion And Structure Recovery For Robotic Vision Using Scanning Laser Range | sensor | s |
| Object Recognition And Localization From Scanning Beam | sensor | s |
| Object Recognition And Localization Using Optical Proximity | sensor | System: Polyhedral Case |
| Object Recognition And Pose Estimation With A Fast And Versatile 3d Robot | sensor | |
| Obstacle Avoidance With Ultrasonic | sensor | s |
| On 3d Model Construction By Fusing Heterogeneous | sensor | Data |
| On The Estimation Of Depth From Motion Using An Anthropomorphic Visual | sensor | |
| Optical Measurements And | sensor | s For The Process Industries (Frankfurt/Main, Germany, June 20-23 |
| Optimal Combination And Constraints For Geometrical | sensor | Data |
| Optimal Combination Of Multiple | sensor | s Including Stereo Vision |
| Optimal | sensor | And Light Source Positioning For Machine Vision |
| Optimal Strategic Recognition Of Objects Based On Candidate Discriminating Graph With Coordinated | sensor | s |
| Optimization Of | sensor | Response Functions For Colorimetry Of R Eflective And Emissive Objects |
| Optimization Of | sensor | Response Funtions For Colorimetry Of Reflective And Emissive Objects |
| Original Multi- | sensor | Approach To Scale-Based Image Analysis For Aerial And Satellite Images, An |
| Overlapping Object Recognition: A Paradigm For Multiple | sensor | Fusion |
| Panoramic | sensor | Calibration |
| Panoramic Stereovision | sensor | |
| Pasic: A Smart | sensor | For Computer Vision |
| Perception | sensor | For A Mobile Robot |
| Physically Based Simulation Model For Acoustic | sensor | Robot Navigation |
| Planar And Finger-Shaped Optical Tactile | sensor | s For Robotic Applications |
| Planning For Complete | sensor | Coverage In Inspection |
| Planning Sensing Strategies In A Robot Work Cell With Multi- | sensor | Capabilities |
| Polarization Camera | sensor | s |
| Precision Tracking Based On Segmentation With Optional Layering For Imaging | sensor | s |
| Probabilistic Dbnn Via Expectation-Maximization With Multi- | sensor | Classification Applications |
| Quantization Errors In Axial Motion Stereo On Rectangular-Tessellated Image | sensor | s |
| Range Imaging | sensor | s Development At Nrc Laboratories |
| Real-Time 2d Feature Detection With Low-Level Image Processing Algorithms On Smart Ccd/Cmos Image | sensor | s |
| Real-Time Focus Range | sensor | |
| Real-Time Focus Range | sensor | |
| Real-Time Foveal | sensor | With Overlapping Receptive Fields, A |
| Real-Time Generation Of Environmental Map And Obstacle Avoidance Using Omnidirectional Image | sensor | With Conic Mirror |
| Real-Time Object Tracking By Rotating Range | sensor | |
| Real-Time Omnidirectional Image | sensor | (Copis) For Vision-Guided Navigation |
| Real-Time Parallel Architecture For | sensor | Fusion |
| Recent Advances In | sensor | s, Radiometry, And Data Processing For Remote Sensing (Orlando, Fl, April 6-8 |
| Recognition By Using An Active/Space-Variant | sensor | |
| Representing Workspace And Model Knowledge For A Robot With Mobile | sensor | s |
| Resolution Consideration In Spatially Variant | sensor | s |
| Resolution Considerat[S]Ion In Spatially Variant | sensor | s |
| Retina-Like Visual | sensor | For Fast Tracking And Navigation Robots |
| Robot Navigation In Unknown Generalized Polygonal Terrain Using Vision | sensor | s |
| Robot | sensor | s, Ifs |
| Robot Vision By A Contour | sensor | With Associative Memory |
| Robotic Exploration Of Surfaces With A Compliant Wrist | sensor | |
| Robotic | sensor | -Motor Transformations |
| Robust Multi- | sensor | Fusion: A Decision-Theoretic Approach |
| Robust Multi- | sensor | Image Alignment |
| Robust Multi- | sensor | Image Alignment |
| Rolling Motion Estimation For Mobile Robot By Using Omnidirectional Image | sensor | Hyperomnivision |
| Selected Papers On | sensor | And Data Fusion, Spie, Bellingham |
| Self-Location Of A Mobile Robot With Uncertainty By Cooperation Of A Heading | sensor | And A Ccd Tv Camera |
| sensor | And Data Fusion Concepts And Applications (Tt14), Spie, Bellingham |
| sensor | Array Processing Techniques For Super Resolution Multi-Line-Fitting And Straight Edge Detection |
| sensor | Fusion And Aerospace Applications (Orlando, Fl, April 15-16 |
| sensor | Fusion And Aerospace Applications Ii (Orlando, Fl, April 6-7 |
| sensor | Fusion And Decentralized Control In Autonomous Robotic Systems (Pittsburgh, Pa, October 14-15 |
| sensor | Fusion And Decentralized Control In Robotic Systems (Boston, Ma, November 2-3 |
| sensor | Fusion And Distributed Robotic Agents (Boston, Ma, November 21-22 |
| sensor | Fusion And Networked Robotics Vii (Philadelphia, Pa, October 23-24 |
| sensor | Fusion For Robust Identification Of Persons: A Field Test |
| sensor | Fusion Ii (Orlando, Fl, March 28-29 |
| sensor | Fusion Ii: Human And Machine Strategies (Philadelphia, Pa, November 6-9 |
| sensor | Fusion Iii (Orlando, Fl, April 19-20 |
| sensor | Fusion Iii: 3-D Perception And Recognition (Boston, Ma, November 5-8 |
| sensor | Fusion In Certainty Grids For Mobile Robots |
| sensor | Fusion Iv: Control Paradigms And Data Structures (Boston, Ma, November 12-15 |
| sensor | Fusion V (Boston, Ma, November 15-17 |
| sensor | Fusion Vi (Boston, Ma, September 7-8 |
| sensor | Fusion Vii (Boston, Ma, October 31-November 1 |
| sensor | Fusion: Architectures, Algorithms, And Applications (Orlando, Fl, April 24-25 |
| sensor | Fusion: Architectures, Algorithms, And Applications Ii (Orlando, Fl, April 16-17 |
| sensor | Modeling, Markov Random Fields, And Robust Localization For Recognizing Partially Occluded Objects |
| sensor | Modeling, Probabilistic Hypothesis Generation, And Robust Localization For Object Recognition |
| sensor | Models And Multi-Sensor Integration |
| sensor | Models And Multi-Sensor Integration |
| sensor | Models And Multisensor Integration |
| sensor | Planning And Coordination In Multiagent System |
| sensor | Planning In An Active Robotic Work Cell |
| sensor | Roll Angle Error For A Mobile Robot Using A Navigation Line |
| sensor | Systems For The Early Earth Observing System Platforms (Orlando, Fl, April 13-14 |
| sensor | -Actuator Networks |
| sensor | -Based Navigation For A Mobile Robot Using Fuzzy Logic And Reinforcement Learning, A |
| sensor | -Based Solution To The ``Next Best View'' Problem, A |
| sensor | s And Algorithms For The Construction Of Digital 3-D Colour Models Of Real Objects |
| sensor | s And Control For Advanced Automation (Frankfurt/Main, Germany, June 22-24 |
| sensor | s And Controls For Automated Manufacturing Systems (Boston, Ma, September 9-10 |
| sensor | s And Sensor Systems For Guidance And Navigation (Orlando, Fl, April 22-23 |
| sensor | s And Sensor Systems For Guidance And Navigation (Orlando, Fl, April 22-23 |
| sensor | s, Senor Systems, And Sensor Data Processing Munich, Germany, June 16-17 |
| sensor | s, Senor Systems, And Sensor Data Processing Munich, Germany, June 16-17 |
| sensor | y Attention: Computational Sensor Paradigm For Low-Latency Adaptive Vision |
| sensor | y Gripper Using Tactile Sensors For Object Recognition, Orientation Control, And Stable Manipulation, A |
| Sesam: A Biometric Person Identification System Using | sensor | Fusion |
| Shape Description With A Space-Variant | sensor | : Algorithms For Scan-Path, Fusion, And Convergence Over Multiple Scans |
| Signal Processing, | sensor | Fusion, And Target Recognition (Orlando, Fl, April 20-22 |
| Signal Processing, | sensor | Fusion, And Target Recognition Ii (Orlando, Fl, April 12-14 |
| Signal Processing, | sensor | Fusion, And Target Recognition Iii (Orlando, Fl, April 4-6 |
| Signal Processing, | sensor | Fusion, And Target Recognition Iv (Orlando, Fl, April 17-19 |
| Signal Processing, | sensor | Fusion, And Target Recognition V (Orlando, Fl, April 8-10 |
| Signal Processing, | sensor | Fusion, And Target Recognition Vi Orlando, Fl, April 21-24 |
| Signal Processing, | sensor | Fusion, And Target Recognition Vii (Orlando, Fl, April 13-15 |
| Signal Subspace Fusion Of Uncalibrated | sensor | s With Application In Sar, Diagnostic Medicine And Video Processing |
| Simulation And Animation Of | sensor | -Driven Robots |
| Simulation And Expectation In | sensor | -Based Systems |
| Spatial Reasoning And Multi- | sensor | Fusion (Proceedings Of The 1987 Workshop, St. Charles, Il, October 5-7, 1987), Morgan Kaufmann, Los Altos |
| Spatial Reasoning, | sensor | Repositioning And Disambiguation In 3d Model Based Recognition |
| Special Issue On | sensor | Data Fusion |
| Special Issue On | sensor | -Based Planning And Control In Robotics |
| Special Issue On Solid State Image | sensor | s |
| Statistical Decision Theory For | sensor | Fusion |
| Stochastic Performance Modeling And Evaluation Of Obstacle Detectability With Imaging Range | sensor | s |
| Stochastic Performance Modeling And Evaluation Of Obstacle Detectability With Imaging Range | sensor | s |
| Study Of Affine Matching With Bounded | sensor | Error, A |
| Study Of Affine Matching With Bounded | sensor | Error, A |
| Survey Of | sensor | Planning In Computer Vision, A |
| Symposium On Multi- | sensor | Data Fusion, Atlanta, Ga |
| Task-Directed Computation Of Quantitative Decisions From | sensor | Data |
| Task-Directed | sensor | Fusion And Planning: A Computational Approach, Kluwer |
| Three-Dimensional | sensor | Based On Structured Light, A |
| Transportation | sensor | s And Controls: Collision Avoidance, Traffic Management, Its (Boston, Ma, November 18-20 |
| Treatment Of Systematic Errors In The Processing Of Wide-Angle Sonar | sensor | Data For Robotic Navigation |
| Two-Dimensional Optimal | sensor | Placement |
| Ultrasonic Visual | sensor | For Three-Dimensional Object Recognition Using Neural Networks, An |
| Using A Cylindrical Tactile | sensor | For Determining Curvature |
| Variational Approach To Multi- | sensor | Fusion Of Images, A |
| Versatile Architecture For The Distributed | sensor | Integration Problem, A |
| Vision Systems: | sensor | s, Sensor Systems, And Components (Besancon, France, June 10-12 |
| Vision Systems: | sensor | s, Sensor Systems, And Components (Besancon, France, June 10-12 |
| Visual | sensor | Systems: Making Them Smaller, Faster, Smarter |
| Vlsi Smart | sensor | For Fast Range Imaging, A |
| Yet Another Mesh Array Smart | sensor | ? |
283 for sensor
| _ | september | _ |
|---|
| Advances In Artificial Intelligence (Proceedings, 6th European Conference On Artificial Intelligence, Pisa, Italy, | september | 5-7, 1984), North-Holland |
| Advances In Pattern Recognition And Applications (Valencia, Spain, | september | 21-25, 1992), World Scientific |
| Applications Of Fuzzy Logic Technology (Boston, Ma, | september | 8-10 |
| Artificial Intelligence Ii-Methodology, Systems, Applications (Second International Conference, Varna, Bulgaria, | september | 16-19, 1986), North Holland |
| Artificial Intelligence Iii-Methodology, Systems, Applications (Proceedings Of The Third International Conference, Aimsa '88, Varna, Bulgaria, | september | 20-23, 1988), North-Holland |
| Artificial Intelligence Iv (Proceedings Of The Fourth International Conference On Artificial Intelligence: Methodology, Systems, Applications, Albena, Bulgaria, | september | 19-22, 1990), North-Holland |
| Artificial Intelligence V (Proceedings Of The Fifth International Conference On Artificial Intelligence-Methodology, Systems, Applications, Sofia, Bulgaria, | september | 21-24, 1992), North-Holland |
| Artificial Intelligence--Methodology, Systems, Applications (Aimsa '94: 6th International Conference, Sofia, Bulgaria, | september | 21-24, 1994), World Scientific |
| Autbild '85/3 (Automatische Bildverarbeitung, Wandlitzsee, Ddr, | september | 23-27, 1985), Friedrich Schiller University, Jena |
| Automated Optical Inspection For Industry: Theory, Technology, And Applications (Beijing, China, | september | 16-19 |
| Computational Intelligence I (Milan, Italy, | september | 26-30, 1988), North-Holland |
| Computational Intelligence Ii (Milan, Italy, | september | 25-27, 1989), North-Holland |
| Computer Analysis Of Image And Patterns (Proceedings Of The Fourth International Conference Caip '91, Dresden, Germany, | september | 17-19, 1991), Akademie Verlag |
| Computer Analysis Of Images And Patterns (Proceedings Of Caip '87, The Second International Conference On Automatic Image Processing, Wismar, Gdr, | september | 2-4, 1987), Akademie-Verlag |
| Computer Analysis Of Images And Patterns (Proceedings Of The Third International Conference On Automatic Image Processing, Caip'89, Leipzig, Gdr, | september | 8-10, 1989) |
| Computer Graphics And Applications (Proceedings Of The First Pacific Conference, Seoul, Korea, August 30- | september | 2, 1993), World Scientific |
| Darpa Automatic Sensor Interpretation Workshop (Fairfax, Va, | september | 30 - October 2, 1993) |
| Dynamical Systems And Cellular Automata (Proceedings Of A Conference On Dynamical Behavior Of Cellular Automata: Theory And Applications, Luminy, France, | september | 13-17, 1983), Academic Press |
| Ed. Image Processing: Mathematical Methods And Applications Cranfield, England, | september | 1994, Clarendon Press, Oxford |
| Eighth British Machine Vision Conference, Essex, England, | september | 8-11, 1997. 33. Seventh International Conference On Computer Analysis Of Images And Patterns, Kiel, Germany |
| Eurographics '85 (Nice, France, | september | 9-13, 1985), North-Holland |
| Eurographics '88 (Nice, France, | september | 12-16, 1988), North-Holland |
| Eurographics '89 (Hamburg, Frg, | september | 4-8, 1989), North-Holland |
| Eurographics '91 (Vienna, Austria, | september | 2-6, 1991), North-Holland |
| Eurographics 84 (Copenhagen, Denmark, | september | 12-14, 1984), North-Holland |
| From Pixels To Features Ii-Parallelism In Image Processing (Proceedings Of A Workshop, Bonas, France, August 27- | september | 1, 1990), North-Holland |
| From Pixels To Features Iii-Frontiers In Handwriting Recognition (Proceedings Of An International Workshop, Bonas, France, | september | 23-27, 1991), North-Holland |
| Geometric Modeling For Product Engineering (Ifip Working Conference, Rensselaerville, Ny, | september | 18-22, 1988), North-Holland |
| Guest Ed., Special Issue On Multidimensional Signal Processing (Fifth Mdsp Workshop, Noordwijkerhout, The Netherlands, | september | 14-16, 1987) |
| Guest Ed., Special Issue: 5th British Machine Vision Conference 1994 (York, Uk, | september | 13-16, 1994) |
| Guest Ed., Special Issue: Bmvc 1993 (Guildford, Uk, | september | 21-23, 1993) |
| Guest Ed., Special Issue: British Machine Vision Conference 1992 (Leeds, Uk, | september | 21-24, 1992) |
| Guest Ed., Special Issue: Sixth British Machine Vision Conference (Birmingham, Uk, | september | 11-14, 1995) |
| Guest Ed., [Special Issue On] Architectures For Volume Rendering (Papers From The Ninth Eurographics Workshop On Graphics, | september | 12-13, 1994), C&G 19( |
| Guest Eds., Special Issue|Bmvc 96 (Edinburgh, Scotland, | september | 9-12, 1996) |
| Image Analysis And Processing (8th International Conference Iciap '95, San Remo, Italy, | september | 13-15, 1995), Springer |
| Image Analysis And Processing (Proceedings Of The Sixth International Conference, Como, Italy, | september | 4-6, 1991), World Scientific |
| Image Analysis And Processing (Proceedings Of The Third International Conference, Rapallo, Italy, | september | 30-October 2, 1985), Plenum Press |
| Image And Signal Processing For Remote Sensing (Rome, Italy, | september | 26-30 |
| Image And Signal Processing For Remote Sensing Ii (Paris, France, | september | 25-27 |
| Image Processing '92 (Icip '92; Proceedings Of The Second Singapore International Conference On Image Processing, | september | 7-11, 1992), World Scientific |
| Image Processing, Signal Processing, And Synthetic Aperture Radar For Remote Sensing London, Uk, | september | 22-26 |
| Industrial Optical Sensing And Metrology: Applications And Integration (Boston, Ma, | september | 8-10 |
| Intelligent Robots And Computer Vision (Cambridge, Ma, | september | 16-20 |
| Intelligent Robots And Computer Vision Xii: Active Vision And 3d Methods (Boston, Ma, | september | 8-9 |
| Intelligent Robots And Computer Vision Xii: Algorithms And Techniques (Boston, Ma, | september | 7-9 |
| Isprs Symposium On Spatial Information From Digital Photogrammetry And Computer Vision (Munich, Germany, | september | 5-9 |
| Machine Vision Applications, Architectures, And Systems Integration Ii (Boston, Ma, | september | 7-9 |
| Mathematics Of Surfaces Ii (Cardiff, Uk, | september | 8-12, 1986), Clarendon Press, Oxford, The |
| Mathematics Of Surfaces Iii (Oxford, Uk, | september | 1988), Oxford University Press, Oxford, The |
| Mobile Robots Viii (Boston, Ma, | september | 9-10 |
| Mustererkennung 1986 (8th Dagm Symposium, Paderborn, Frg, | september | 30 - October 2, 1986), Springer |
| Optics, Illumination, And Image Sensing For Machine Vision Viii (Boston, Ma, | september | 8-9 |
| Parallel Computing 89 (Leiden, The Netherlands, August 29- | september | 1, 1989) |
| Parallel Computing 91 (London, England, | september | 3-6, 1991) |
| Parallel Processing By Cellular Automata And Arrays (Parcella '86, Berlin, Gdr, | september | 9-11, 1986), North Holland |
| Parcella '84 (International Workshop On Parallel Processing By Cellular Automata And Arrays; | september | 25-27, 1984), Akademie Verlag |
| Parcella '90 (Fifth International Workshop On Parallel Processing By Cellular Automata And Arrays, Berlin, Gdr, | september | 17-21, 1990), Akademie Verlag |
| Parcella '94 (Proceedings Of The Sixth International Workshop On Parallel Processing By Cellular Automata And Arrays, Potsdam, Germany, | september | 21-23, 1994), Akademie Verlag |
| Physics And Engineering Of Medical Imaging (Proceedings Of A Nato Advanced Study Institute, Maratea, Italy, | september | 23-October 5, 1984), Nijhoff |
| Pria-95, Third International Conference On Pattern Recognition And Information Analysis, Minsk, Belarus, | september | 19-21, 1995, |
| Proceedings: [Darpa] Image Understanding Workshop, Pittsburgh, Pa, | september | 11-13, 1990 (Morgan Kaufmann |
| Progress In Handwriting Recognition Proceedings Of The Fifth International Workshop On Frontiers In Handwriting Recognition, Colchester, England, | september | 2-5, 1996, World Scientific |
| Progress In Image Analsyis And Processing (Proceedings Of The Fifth International Conference, Positano, Italy, | september | 20-22, 1989), World Scientific |
| Progress In Image Analysis And Processing Ii (Proceedings Of The Sixth International Conference On Image Analysis And Processing, Como, Italy, | september | 4-6, 1991), World Scientific |
| Progress In Image Analysis And Processing Iii (Proceedings Of The 7th International Conference On Image Analysis And Processing, Monopoli, Italy, | september | 20-22, 1993), World Scientific |
| Scientific Applications Of The Connection Machine (Mountainview, Ca, | september | 12-14, 1988), World Scientific |
| Sensor Fusion Vi (Boston, Ma, | september | 7-8 |
| Sensors And Controls For Automated Manufacturing Systems (Boston, Ma, | september | 9-10 |
| Shape In Picture: Mathematical Description Of Shape In Grey-Level Images (Proceedings Of The Nato Advanced Research Workshop ``Shape In Picture'', Driebergen, The Netherlands, | september | 7-11, 1992), Springer |
| Special Issue: 4th Alvey Vision Conference (Manchester, Uk, August 31- | september | 2, 1988), Ivc 7 ( |
| Special Issues With Papers Of The Third International Conference On Pattern Recognition Of The British Pattern Recognition Association (St. Andrews, Scotland, | september | 25-27, 1985), Prl 5 ( |
| Telemanipulator Technology And Space Telerobotics (Boston, Ma, | september | 7-9 |
| Theoretical Aspects Of Neurocomputing (Selected Papers From Neuronet '90, Symposium On Neural Networks And Neurocomputing, Prague, Czechoslovakia, | september | 10-14, 1990), World Scientific |
| Time-Varying Image Processing And Moving Object Recognition (Proceedings Of An International Workshop, Florence, Italy, | september | 8-9, 1986) |
| Time-Varying Image Processing And Moving Object Recognition (Proceedings Of The Fifth International Workshop, Florence, Italy, | september | 5-6, 1996), Elsevier |
| Time-Varying Image Processing And Moving Object Recognition 4 Proceedings Of The Fifth International Workshop, Florence, Italy, | september | 5-6, 1996, Elsevier |
| Vision Geometry Ii (Boston, Ma, | september | 9-10 |
| Vision In Vehicles Ii (Nottingham, Uk, | september | 14-17, 1987), North-Holland |
| Visual Communications And Image Processing '94 (Chicago, Il, | september | 25-29 |
| Visual Communications And Image Processing (Cambridge, Ma, | september | 15-16 |
| Visual Database Systems Ii (Ifip Working Conference, Budapest, Hungary, | september | 30 -October 3, 1991), Elsevier |
| Visual Search (Proceedings Of The First International Conference, Durham, Uk, | september | 5-9, 1988), Taylor And Francis |
83 for september
| _ | sequence | _ |
|---|
| 3-D Model Localization Using High-Resolution Reconstruction Of Monocular Image | sequence | s |
| 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 | sequence | s |
| 3-D Motion From Image | sequence | s: Modeling, Understanding, And Prediction |
| 3-D Reconstruction Of Urban Scenes From Image | sequence | s |
| 3-D Recovery Of Structure And Kinematic Parameters From Long | sequence | s Of Noisy Images |
| 3-D Structure Inference From Image | sequence | s |
| 3-D Surface Reconstruction From Stereoscopic Image | sequence | s |
| 3d From An Image | sequence | -Occlusions And Perspective |
| 3d Model Acquisition From Extended Image | sequence | s |
| 3d Model Acquisition From Monocular Image | sequence | s |
| 3d Model-Based Segmentation Of Videoconference Image | sequence | s |
| 3d Positional Integration From Image | sequence | s |
| 3d Reconstruction Of The Human Jaw From A | sequence | Of Images |
| 3d Shape Recovery From Two-Color Image | sequence | s Using A Genetic Algorithm |
| 3d Structure And Motion Estimation From 2d Image | sequence | s |
| 3d Structure Extraction Coding Of Image | sequence | s |
| 3d Structure From A Monocular | sequence | Of Images |
| 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 | sequence | s |
| 3d Wire-Frame Integration From Image | sequence | s |
| A) Model-Based 3-D Tracking Of Rigid Objects From A | sequence | Of Multiple Perspective Views |
| Acquiring 3-D Models From | sequence | s Of Contours |
| Acquiring 3d Models Of Non-Rigid Moving Objects From Time And Viewpoint Varying Image | sequence | s: A Step Toward Left Ventricle Recovery |
| Active Contours Approach To Object Tracking In Image | sequence | s With Complex Background |
| Active Vision: 3d From An Image | sequence | |
| Adaptive Detection For Tracking Moving Biological Objects In Video Microscopy | sequence | s |
| Affine Analysis Of Image | sequence | s, Cambridge University Press, Cambridge |
| Algorithm For String Matching With A | sequence | Of Don'T Cares, An |
| Algorithmic Characterization Of Vehicle Trajectories From Image | sequence | s By Motion Verbs |
| Analysis And Synthesis Of Facial Image | sequence | s Using Physical And Anatomical Models |
| Analysis Of A | sequence | Of Stereo Scenes Containing Multiple Moving Objects Using Rigidity Constraints |
| Analysis Of Intensity And Range Image | sequence | s Using Adaptive-Size Meshes |
| Analysis Of Long Image | sequence | For Structure And Motion Estimation |
| Analysis Of Time Varying Image | sequence | s, The |
| Analysis Of Video Image | sequence | s Using Point And Line Correspondences |
| Antiextensive Connected Operators For Image And | sequence | Processing |
| Approach To 3-D Scene Reconstruction From Noisy Binocular Image | sequence | s Using Information Fusion, An |
| Approximate | sequence | Comparison: A Study With Histograms |
| Assembly | sequence | Planning |
| Asymptotic Bayesian Surface Estimation Using An Image | sequence | |
| Automated Recognition Of Drunk Driving On Highways From Video | sequence | s |
| Automatic Camera Recovery For Closed Or Open Image | sequence | s |
| Automatic Computation Of Motion In An Image | sequence | . Interest For Interpretation. |
| Automatic Detection Of Interest Areas Of An Image Or Of A | sequence | Of Images |
| Automatic Feature Point Extraction And Tracking In Image | sequence | s For Arbitrary Camera Motion |
| Automatic Feature Point Extraction And Tracking In Image | sequence | s For Unknown Camera Motion |
| Automatic Interpretation Of Medical Image | sequence | s |
| Automatic Reconstruction Of 3d Human Arm Motion From A Monocular Image | sequence | |
| Automatic Selection Of Tuning Parameters For Feature Extraction | sequence | s |
| Automatic Spatio-Temporal Video | sequence | Segmentation |
| Background Modeling For Segmentation Of Video-Rate Stereo | sequence | s |
| Bayes Decision Test For Detecting Uncovered Background And Moving Pixels In Image | sequence | s, A |
| Bayesian Block-Wise Segmentation Of Interframe Differences In Video | sequence | s |
| Binocular Estimation Of Motion And Structure From Long | sequence | s Using Optical Flow Without Correspondence |
| Blockwise Relaxation Labeling Scheme And Its Application To Edge Detection In Cardiac Mr Image | sequence | s, A |
| Building Three-Dimensional Object Models From Image | sequence | s |
| Camera Self-Calibration From Video | sequence | s With Changing Focal Length |
| Combined Motion And Edge Analysis For A Layer-Based Representation Of Image | sequence | s |
| Combining Intensity And Motion For Incremental Segmentation And Tracking Over Long Image | sequence | s |
| Comment On ``Analysis Of Video Image | sequence | s Using Point And Line Correspondences'', A |
| Comparative Results Of Some Motion Algorithms On Real Image | sequence | s |
| Comparison Between Asymptotic Bayesian Approach And Kalman Filter-Based Technique For 3d Reconstruction Using An Image | sequence | |
| Comparison Of Weighted Ls Methods With Ls Methods In 3-D Motion Estimation From Stereo Image | sequence | s, A |
| Complete Structure And Motion From Two Monocular | sequence | s Without Stereo Correspondence |
| Compression Of Chain Codes Using Digital Straight Line | sequence | s |
| Computation Of Optic Flow From The Motion Of Edge Features In Image | sequence | s |
| Computerized Diagnosis Of Cardiac Left Ventricular Abnormalities Based On Image | sequence | s Obtained By Radionuclide Ventriculography |
| Computing Correspondences In A | sequence | Of Non-Rigid Shapes |
| Computing Motion And Structure In Image | sequence | s Without Calibration |
| Computing Structure And Motion Of General 3d Curves From Monocular | sequence | s Of Perspective Images |
| Consistent Segmented Regions Of Flir | sequence | s |
| Constrained Active Region Models For Fast Tracking In Color Image | sequence | s |
| Constraint Directed Learning For Unsupervised Image | sequence | Segmentation |
| Content-Based Retrieval And Real Time Detection From Video | sequence | s Acquired By Surveillance Systems |
| Content-Based Video | sequence | Representation |
| Continouous Terrain Modeling From Image | sequence | s With Applications To Change Detection |
| Contour Motion Estimation From Image | sequence | s Using Curvature Information |
| Contour | sequence | Moments For The Classification Of Closed Planar Shapes |
| Cooperative Matching Paradigm For The Analysis Of Stereo Image | sequence | s |
| Correspondence Problem In Image | sequence | Analysis |
| Counting People Getting In And Out Of A Bus By Real-Time Image- | sequence | Processing |
| Critical Motion | sequence | s For Monocular Self-Calibration And Uncalibrated Euclidean Reconstruction |
| Davenport-Schinzel | sequence | s And Their Geometric Applications, Cambridge University Press, Cambridge |
| Decoupling Fourier Components Of Dynamic Image | sequence | s: A Theory Of Signal Separation, Image Segmentation, And Optical Flow Estimation |
| Deformable Templates In Image | sequence | s |
| Dense Non-Rigid Motion Estimation In | sequence | s Of Medical Images Using Differential Constraints |
| Dense Nonrigid Motion Tracking From A | sequence | Of Velocity Fields |
| Dense Structure From A Dense Optical Flow | sequence | |
| Dense Structure From A Dense Optical Flow | sequence | |
| Density Evaluation And Tracking Of Multiple Objects From Image | sequence | s |
| Depth Based Recovery Of Human Facial Features From Video | sequence | s |
| Deriving Facial Articulation Models From Image | sequence | s |
| Describing A Robot'S Workspace Using A | sequence | Of Views From A Moving Camera |
| Design Of A Vision System In Remote Sensing: Modelling Image Processing | sequence | s |
| Detecting Small, Moving Objects In Image | sequence | s Using Sequential Hypothesis Testing |
| Detection Algorithms For Image | sequence | Analysis |
| Detection And Segmentation Of Feature Trajectories In Multiple, Discontinuous Motion Image | sequence | s |
| Detection Of Human Faces In Color Image | sequence | s With Arbitrary Motions For Very Low Bit-Rate Videophone Coding |
| Detection Of Moving Objects In A | sequence | Of Images Using A Coarse-To-Fine Strategy |
| Detection Of Moving Objects Using Line Image | sequence | |
| Detection Of The Movements Of Persons From A Sparse | sequence | Of Tv Images |
| Determination Of Egomotion And Environmental Layout From Noisy Time-Varying Image Velocity In Binocular Image | sequence | s |
| Determining Object Motion In A | sequence | Of Stereo Images |
| Determining Stereo Correspondence And Egomotion From A | sequence | Of Stereo Images |
| Development Of A Segment-Based Description Of Events In Image | sequence | s |
| Diagnostic Inferences From Image | sequence | s -- A Knowledge Based Approach |
| Direct Estimation Of Deformable Motion Parameters From Range Image | sequence | |
| Direct Processing Of Curvilinear Sensor Motion From A | sequence | Of Perspective Images |
| Disparity And Occlusion Estimation For Multiview Image | sequence | s Using Dynamic Programming |
| Distance Functions Defined By Variable Neighborhood | sequence | s |
| Distances Defined By Neighborhood | sequence | s |
| Drawing Polygons Given Angle | sequence | s |
| Dynamic Camera Self-Calibration From Controlled Motion | sequence | s |
| Dynamic Camera Self-Calibration From Controlled Motion | sequence | s |
| Dynamic Feature Point Tracking In An Image | sequence | |
| Dynamic Integration Of Height Maps Into A 3-D World Representation From Range Image | sequence | s |
| Dynamic Integration Of Height Maps Into A 3d World Representation From Range Image | sequence | s |
| Early Identification Of Occlusion In Stereo-Motion Image | sequence | s |
| Edge Detection And Thinning In Time-Varying Image | sequence | s Using Spatio-Temporal Templates |
| Edge Detection In Echocardiographic Image | sequence | s By 3-D Multiscale Analysis |
| Ego Motion From Near-Degenerate | sequence | s |
| Epipolar-Plane Image Analysis: A Technique For Analyzing Motion | sequence | s |
| Epipolar-Plane Image Analysis: A Technique For Analyzing Motion | sequence | s |
| Error Analysis Of Motion Parameter Estimation From Image | sequence | s |
| Estimating 3-D Egomotion From Perspective Image | sequence | s |
| Estimating 3d Vehicle Motion In An Outdoor Scene From Monocular And Stereo Image | sequence | s |
| Estimating Motion Of Constant Acceleration From Image | sequence | s |
| Estimating The Kinematics And Structure Of A Rigid Object From A | sequence | Of Monocular Images |
| Estimation Of 3d-Motion And Structure From Tracking 2d-Lines In A | sequence | Of Images |
| Estimation Of General Rigid Body Motion From A Long | sequence | Of Images |
| Estimation Of Geometry And Motion Of A Surface From Image | sequence | s By Means Of Linearization Of A Parametric Model, The |
| 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 Object And Sensor Motion In Infrared Image | sequence | s |
| Estimation Of Optical Flow Based On Higher-Order Spatiotemporal Derivatives In Interlaced And Non-Laterlaced Image | sequence | s |
| Estimation Of Shape, Reflection Coefficients And Illuminant Direction From Image | sequence | s |
| Estimation Of Velocity Vector Fields From Time-Varying Image | sequence | s, The |
| Estimation Of Velocity, Acceleration, And Disparity In Time | sequence | s |
| Euclidean 3d Reconstruction From Image | sequence | s With Variable Focal Lengths |
| Euclidean Reconstruction From Image | sequence | s With Varying And Unknown Focal Length And Principal Point |
| Experiments And Uniqueness Results On Object Structure And Kinematics From A | sequence | Of Monocular Images |
| Experiments In Estimating Egomotion And Structure Parameters Using Long Monocular Image | sequence | s |
| Experiments In Estimation Of 3-D Motion Parameters From A | sequence | Of Image Frames |
| Extended Structure And Motion Analysis From Monocular Image | sequence | s |
| Extracting Characters Of License Plates From Video | sequence | s |
| Extraction And Tracking Of The Tongue Surface From Ultrasound Image | sequence | s |
| Extraction Of The Relative Depth Information Of Objects In Video | sequence | s |
| Factoring Image | sequence | s Into Shape And Motion |
| Fan Filters, The 3-D Radon Transform, And Image | sequence | Analysis |
| Fast Algorithm For Target Shadow Removal In Monocular Colour | sequence | s, A |
| Feature Guided Pixel Matching And Segmentation In Motion Image | sequence | s |
| Feature Point Matching In Image | sequence | s |
| Feature Tracking From An Image | sequence | Using Geometric Invariants |
| Feature Tracking In 3-D Fluid Tomography | sequence | s |
| Feature-Based Cluster Segmentation Of Image | sequence | s |
| Finding Point Correspondences In Motion | sequence | s Preserving Affine Structure |
| Finding Trajectories Of Feature Points In A Monocular Image | sequence | |
| Finding Trajectories Of Feature Points In A Monocular Image | sequence | |
| Finite Prolate Spheroidal | sequence | s And Their Applications Ii: Image Feature Description And Segmentation |
| Framework For Modeling Appearance Change In Image | sequence | s, A |
| From An Image | sequence | To A Recognized Polyhedral Object |
| From Image | sequence | s To Recognized Moving Polyhedral Objects |
| From Image | sequence | s Towards Conceptual Descriptions |
| From Pixels To | sequence | s: Sensors, Algorithms, And Systems, Zurich, Switzerland |
| Fusion Of 3d B-Spline Surface Patches Reconstructed From Image | sequence | s |
| General In-Place Calculation Of Discrete Fourier Transforms Of Multidimensional | sequence | s |
| Generating Octree Models Of 3d Objects From Their Silhouettes In A | sequence | Of Images |
| Generation Of Semantic Regions From Image | sequence | s |
| Geometric Applications Of Davenport-Schinzel | sequence | s |
| Geometry Of Quadrics And Correlations Of | sequence | s, The |
| Guest Ed., Special Issue: Image | sequence | Processing |
| Guest Eds., Special Issue On Image | sequence | Compression |
| Guest Eds., Special Issue On Image | sequence | Processing And Motion Analysis In Visual Communication |
| Heterogeneous M-Simd Architecture For Kalman Filter Controlled Processing Of Image | sequence | s, An |
| Hierarchical Statistical Framework For The Segmentation Of Deformable Objects In Image | sequence | s, A |
| Homography-Based 3d Scene Analysis Of Video | sequence | s |
| Hough-Based Matching Of 2d Line Segments In A Monocular Image | sequence | , A |
| Identification And 3d Description Of ``Shallow'' Environmental Structure In A | sequence | Of Images |
| Identification Of Story Units In Audio-Visual | sequence | s By Joint Audio And Video Processing |
| Illumination Independent Change Detection For Real World Image | sequence | s |
| Image | sequence | Analysis And Segmentation Using G-Blobs |
| Image | sequence | Analysis For Three-Dimensional Perception Of Dynamic Scenes |
| Image | sequence | Analysis Of Complex Physical Objects: Nonlinear Small Scale Water Surface Waves |
| Image | sequence | Analysis Of Real World Human Motion |
| Image | sequence | Analysis Using Relational Structures |
| Image | sequence | Classification Using A Neural Network Based Active Contour Model And A Hidden Markov Model |
| Image | sequence | Coding Using Vector Quantization |
| Image | sequence | Enhancement Using Multiple Motions Analysis |
| Image | sequence | Enhancement Using Sub-Pixel Displacements |
| Image | sequence | Enhancements Based On The Normal Component Of Image Motion |
| Image | sequence | Fusion Using A Shift-Invariant Wavelet Transform |
| Image | sequence | Processing As An Aid For Three-Dimensional Display |
| Image | sequence | Processing From Gated Blood Pool Studies |
| Image | sequence | Restoration: A Pde-Based Coupled Method For Image Restoration And Motion Segmentation |
| Image | sequence | Segmentation Based On 2d Temporal Entropic Thresholding |
| Image | sequence | Segmentation Using Motion Coherence |
| Image | sequence | Segmentation Using Time-Varying Textures |
| Image | sequence | Stabilization In Real Time |
| Image | sequence | s-Ten (Octal) Years-From Phenomenology Towards A Theoretical Foundation |
| Image | sequence | s-Ten (Octal) Years-From Phenomenology Towards A Theoretical Foundation |
| Incremental Estimation Of Dense Depth Maps From Image | sequence | s |
| Incremental Recognition Of Pedestrians From Image | sequence | s |
| Integrated 3-D Analysis And Analysis-Guided Synthesis Of Flight Image | sequence | s |
| Integrated 3d Analysis Of Flight Image | sequence | s |
| Integrated 3d Recovery And Visualization Of Flight Image | sequence | s |
| Integration Of Transitory Image | sequence | s |
| Intelligent Detection Of Left Ventricular Boundaries In Gated Nuclear Medicine Image | sequence | s |
| Intelligible Encoding Of Asl Image | sequence | s At Extremely Low Information Rates |
| Interpretation Of Image | sequence | s By Spatio-Temporal Analysis |
| Investigation Of Multigrid Algorithms For The Estimation Of Optical Flow Fields In Image | sequence | s |
| Investigation Of Smoothness Constraints For The Estimation Of Displacement Vector Fields From Image | sequence | s, An |
| Investigations Of Multigrid Algorithms For The Estimation Of Optical Flow Fields In Image | sequence | s |
| Iterative Maximum Likelihood Displacement Field Estimation In Quantum-Limited Image | sequence | s |
| Joint Disparity And Motion Field Estimation In Stereoscopic Image | sequence | s |
| Joint Segmentation And B-Spline Object Contour Modelling For Object Tracking And Motion Compensation In Image | sequence | s |
| 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 | sequence | s, A |
| Kalman Filter-Based Algorithms For Estimating Depth From Image | sequence | s |
| Kalman Filter-Based Algorithms For Estimating Depth From Image | sequence | s |
| Kalman-Filtering Method For 3-D Camera Motion Estimation From Image | sequence | s, A |
| Karhunen-Loeve Analysis Of Dynamic | sequence | s Of Thermographic Images For Early Breast Cancer Detection |
| Kinematics And Structure Of A Rigid Object From A | sequence | Of Noisy Images |
| Kinematics Of A Rigid Object From A | sequence | Of Noisy Images: A Batch Approach |
| Knowledge Representation For The Generation Of Quantified Natural Language Descriptions Of Vehicle Traffic In Image | sequence | s |
| Knowledge-Based Approach To The Detection, Tracking And Classification Of Target Formations In Intrared Image | sequence | s, A |
| Knowledge-Guided Visual Perception Of 3-D Human Gait From A Single Image | sequence | |
| Learning And Recognizing Human Dynamics In Video | sequence | s |
| Learning Dynamics Of Complex Motions From Image | sequence | s |
| Learning Flexible Models From Image | sequence | s |
| Learning To Identify And Track Faces In Image | sequence | s |
| Learning, Recognition And Navigation From A | sequence | Of Infrared Images |
| Learning, Recognition And Navigation From A | sequence | Of Infrared Images |
| Line Correspondences From Cooperating Spatial And Temporal Grouping Processes For A | sequence | Of Images |
| Linear And Incremental Acquisition Of Invariant Shape Models From Image | sequence | s |
| Linear And Incremental Acquisition Of Invariant Shape Models From Image | sequence | s |
| Linear Motion Estimation For Image | sequence | Based Accurate 3-D Measurements |
| Linear Shift-Variant Processing Of 2-D Signals Via | sequence | Convolution: Special Cases And Experimental Results |
| Matching Feature Points In Image | sequence | s Through A Region-Based Method |
| 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 | |
| Method For Detecting Correspondences In A | sequence | Of Modifying Shapes, A |
| Microcomputer And Software Architecture For Processing | sequence | s Of Maps: Association Of Successive Frames |
| Mis?)Using Drt For Generation Of Natural Language Text From Image | sequence | s |
| Model Based Extraction Of Articulated Objects In Image | sequence | s For Gait Analysis |
| Model Based Interpretation Of Image | sequence | s From The Heart |
| Model Problem In The Representation Of Digital Image | sequence | s, A |
| Model-Based Estimation Of Facial Expression Parameters From Image | sequence | s |
| Model-Based Nonrigid Motion Recovery From | sequence | s Of Range Images Without Point Correspondences |
| Model-Based Object Tracking In Monocular Image | sequence | s Of Road Traffic Scenes |
| Model-Based Obstacle Detection From Image | sequence | s |
| Model-Based Synthetic Viewgeneration From A Monocular Video | sequence | |
| Morphological Operators For Image | sequence | s |
| Mosaic Based Representations Of Video | sequence | s And Their Applications |
| Motion Analysis And Image | sequence | Processing, Kluwer, Dordrecht |
| Motion Analysis Of Isolated Targets In Infared Image | sequence | s |
| Motion Analysis Of Isolated Targets In Infrared Image | sequence | s |
| Motion Analysis Of Long Image | sequence | Flow |
| Motion And Segmentation Prediction In Image | sequence | s Based On Moving Object Tracking |
| Motion And Structure Based Image Segmentation For Object-Oriented Time-Varying | sequence | s Coding |
| Motion And Structure Estimation From Stereo Image | sequence | s |
| Motion And Structure Estimation Using Long | sequence | Motion Models |
| Motion And Structure Factorization And Segmentation Of Long Multiple Motion Image | sequence | s |
| Motion And Structure Factorization And Segmentation Of Long Multiple Motion Image | sequence | s |
| Motion And Structure From Image | sequence | s, Springer |
| Motion And Structure From Long Stereo Image | sequence | s |
| Motion Boundary Detection In Image | sequence | s By Local Stochastic Tests |
| Motion Detection And Estimation From Stereo Image | sequence | s: Some Preliminary Experimental Results |
| Motion Detection In Image | sequence | s: An Evaluation Of Feature Detectors |
| Motion Estimation From A | sequence | Of Stereo Images: A Direct Method |
| Motion Estimation In Image | sequence | s Using The Deformation Of Apparent Contours |
| Motion Field Modeling For Video | sequence | s |
| Motion From A | sequence | Of Images |
| Motion Recovery From Image | sequence | s Using First-Order Optical Flow Information |
| Motion Recovery From Image | sequence | s Using Only First Order Optical Flow Information |
| Motion Recovery From Image | sequence | s: Discrete Viewpoint Vs. Differential Viewpoint |
| Multi-Scale Contour Matching In A Motion | sequence | |
| Multi-Viewpoint Stereo From Uncalibrated Video | sequence | s |
| Multilevel Gmrf-Based Segmentation Of Image | sequence | s |
| Multiple Occluding Objects Tracking Using A Non-Redundant Boundary-Based Representation For Image | sequence | Interpolation After Decoding |
| Multiresolution Textures From Image | sequence | s, Cg&A 172 |
| Multiscale Algorithm For Closed Contour Matching In Image | sequence | , A |
| Multiscale Approach To Image | sequence | Analysis, A |
| Multistage Order Statistic Filters For Image | sequence | Processing |
| Natural Language Access To Image | sequence | s: Event Recognition And Verbalization |
| Navigation Using Image | sequence | Analysis And 3-D Terrain Matching |
| New Approach To Video | sequence | Recognition Based On Statistical Methods, A |
| New Likelihood Test Methods For Change Detection In Image | sequence | s |
| Noise Reduction In Image | sequence | s Using Motion-Compensated Temporal Filtering |
| Noniterative Correction Of Images And Motion | sequence | s |
| Object Models From Contour | sequence | s |
| Object Oriented Motion Estimation In Color Image | sequence | s |
| Obstacle Detection By Evaluation Of Optical Flow Fields From Image | sequence | |
| Obstacle Detection By Evaluation Of Optical Flow Fields From Image | sequence | s |
| Occlusions And Prespective In An Image | sequence | |
| On A Constraint Equation For The Estimation Of Displacement Rates In Image | sequence | s |
| On Combining Points And Lines In An Image | sequence | To Recover 3d Structure And Motion |
| On Minima Of Functions, Intersection Patterns Of Curves, And Davenport-Schinzel | sequence | s |
| On The Computation Of Motion From | sequence | s Of Images-A Review |
| Optical Flow And Phase Portrait Methods For Environmental Satellite Image | sequence | s |
| Optimal $O(N)$ Algorithm For Identifying Line Segments From A | sequence | Of Chain Codes, An |
| Optimal Schemes For Motion Estimation Using Colour Image | sequence | s |
| Parallel Feature Tracker For Extended Image | sequence | s, A |
| Parallel Feature Tracker For Extended Image | sequence | s, A |
| Parameterized Image Varieties: A Novel Approach To The Analysis And Synthesis Of Image | sequence | s |
| Parametric Block Estimation Of Motion And Application To Temporal Interpolation Of Video | sequence | s |
| Pel-Recursive Motion Field Estimation From Image | sequence | s |
| Performance Bounds For Estimating Three-Dimensional Motion Parameters From A | sequence | Of Noisy Images |
| Physically Based Fluid Flow Recovery From Image | sequence | s |
| Physics-Based 3d Position Analysis Of A Soccer Ball From Monocular Image | sequence | s |
| Physics-Based Tracking Of 3d Objects In 2d Image | sequence | s |
| Pictures And Trails: A New Framework For The Computation Of Shape And Motion From Perspective Image | sequence | s |
| Planar Realizations Of Nonlinear Davenport-Schinzel | sequence | s |
| Planar Realizations Of Nonlinear Davenport-Schinzel | sequence | s By Segments |
| Planning | sequence | s Of Views For 3-D Object Recognition And Pose Determination |
| Point Correspondence And Motion Detection In Long Image | sequence | s |
| Point Matching In A Time | sequence | Of Stereo Image Pairs And Its Parallel Implementation On A Multiprocessor |
| Predicting Multiple Feature Locations For A Class Of Dynamic Image | sequence | s |
| Projective Duality And Recovery Of 3d Straight Lines From A Monocular Image | sequence | |
| Projective Duality And The Analysis Of Image | sequence | s |
| Quadtree-Structured Linear Prediction Models For Image | sequence | Processing |
| Qualitative And Quantitative Car Tracking From A Range Image | sequence | |
| Qualitative Estimation Of Camera Motion Parameters From Video | sequence | s |
| Random Perturbation Models For Boundary Extraction | sequence | |
| Rapid Octree Construction From Image | sequence | s |
| Real Time Object Detection, Tracking And Classification In Monocular Image | sequence | s Of Road Traffic Scenes |
| Real Time Recognition Of Gesture And Gesture Degree Information Using Multi Input Image | sequence | |
| Real-Time Eye Feature Tracking From A Video Image | sequence | Using Kalman Filter |
| Real-Time Modeling Of Image | sequence | s Based On Hidden Markov Mesh Random Field Models |
| Real-Time Tracking Of Multiple Moving Objects In Moving Camera Image | sequence | s Using Robust Statistics |
| Realise: Reconstruction Of Reality From Image | sequence | s |
| Realtime Image | sequence | Interpretation For Video-Surveillance Applications |
| Recognition Of Japanese Sign Language From Image | sequence | Using Color Combination |
| Recognizing Facial Expressions In Image | sequence | s Using Local Parameterized Models Of Image Motion |
| Recognizing Human Facial Expressions From Long Image | sequence | s Using Optical Flow |
| Recognizing Multiple Persons' Facial Expressions Using Hmm Based On Automatic Extraction Of Significant Frames From Image | sequence | s |
| Reconstructing 3d Lines From A | sequence | Of 2d Projections: Representation And Estimation |
| Reconstruction From Image | sequence | s By Means Of Relative Depth |
| Reconstruction From Image | sequence | s By Means Of Relative Depths |
| Reconstruction Of Hot Curves From Image | sequence | s |
| Recovering 3-D Motion Parameters From Image | sequence | s With Gross Errors |
| Recovering Motion And Structure From A Set Of Planar Patches In An Uncalibrated Image | sequence | |
| Recovering Motion Parameters From A 2d Range Image | sequence | |
| Recovery Of A Near Optimal Layer Representation For An Entire Image | sequence | , The |
| Recursive Affine Structure And Motion From Image | sequence | s |
| Recursive Estimation Of Camera Motion From Uncalibrated Image | sequence | s |
| Recursive Image | sequence | Segmentation By Hierarchical Models |
| Recursive Structure And Motion Fromimage | sequence | s Using Shape And Depth Spaces |
| Recursive Total Least Squares Algorithm For 3-D Camera Motion Estimation From Image | sequence | s |
| Recursive-Batch Estimation Of Motion And Structure From Monocular Image | sequence | s |
| Recursively Estimating Optical Flow From A Noisy Image | sequence | |
| Reflectance Function Estimation And Shape Recovery From Image | sequence | Of A Rotating Object |
| Region Tracking Through Image | sequence | s |
| Region-Based Tracking In An Image | sequence | |
| Region-Based Tracking Using Affine Motion Models In Long Image | sequence | s |
| Registration Techniques For Partially Covered Image | sequence | |
| Relative 3d Regularized B-Spline Surface Reconstruction Through Image | sequence | s |
| Rigid Body Motion From Range Image | sequence | s |
| Rigid Motion And Structure From Several Sets Of Parallel Lines In A Monocular Image | sequence | |
| Robot Operation Monitoring For Collision Avoidance By Image | sequence | Analysis |
| Robust And Efficient Transform Domain Video | sequence | Analysis: An Approach From The Generalized Color Ratio Model |
| Robust And Fast Computation Of Edge Characteristics In Image | sequence | s |
| Robust Detection Of Region Boundaries In A | sequence | Of Images |
| Robust Estimation Of 3-D Motion Parameters From A | sequence | Of Image Frames Using Regularization |
| Robust Estimation Of Rotation Angles From Image | sequence | s Using The Annealing M-Estimator |
| Robust Estimation Of Three-Dimensional Motion Parameters From A | sequence | Of Image Frames Using Regularization |
| Robust Segmentation Of Moving Image | sequence | s |
| Robust Tracking Of Stochastic Deformable Models In Long Image | sequence | s |
| Rule-Based Method For Object Segmentation In Video | sequence | s, A |
| Scheme For Incremental Labelling Of Graphs From An Image | sequence | , A |
| Segment-Based Detection Of Moving Objects In A | sequence | Of Images |
| Segmentation And Factorization-Based Motion And Structure Estimation For Long Image | sequence | s |
| Segmentation Based On Region-Tracking In Image | sequence | s For Traffic Monitoring |
| Segmentation In Dynamic Image | sequence | s By Isolation Of Coherent Wave Profiles |
| Segmentation Method Based On Motion From Image | sequence | And Depth, A |
| Segmentation Of A Head Into Face, Ears, Neck And Hair For Knowledge-Based Analysis-Synthesis Coding Of Videophone | sequence | s |
| Segmentation Of An Image | sequence | Using Multi-Dimensional Image Attributes |
| Segmentation Of Frame | sequence | s Obtained By A Moving Observer |
| Segmentation Using Spatial-Feature Clustering From Image | sequence | s |
| Segmenting Film | sequence | s Using Active Surfaces |
| Sensorimotor Action | sequence | Learning With Application To Face Recognition Under Discourse |
| Separability Of Spatiotemporal Spectra Of Image | sequence | s |
| Separating Two Simple Polygons By A | sequence | Of Translations |
| sequence | Comparison With Mixed Convex And Concave Costs |
| sequence | Matching With Binary Codes |
| sequence | s, Structure, And Active Vision |
| Several Key Problems In Model-Based Image | sequence | Compresion By Using Interframe Aus Correlation |
| Shape And Motion Of 3-D Curves From Multi-View Image | sequence | s |
| Shape Models From Image | sequence | s |
| Shape Representation From Image | sequence | s By Using Binary Statistical Morphology |
| Shape-Based Tracking Of Naturally Occurring Annuli In Image | sequence | s |
| Simplifications Of Multilinear Forms For | sequence | s Of Images |
| Simultaneous Reconstruction Of Scene Structure And Camera Locations From Uncalibrated Image | sequence | s |
| Smooth Surface Reconstruction From Image | sequence | s |
| Soccer Image | sequence | Computed By A Virtual Camera |
| Soccerman (Reconstructing Soccer Games From Video | sequence | s) |
| Sorting Jordan | sequence | s In Linear Time |
| Sorting Jordan | sequence | s In Linear Time Using Level-Linked Search Trees |
| Spatio-Temporal Analysis For Velocity Estimation Of Contours In An Image | sequence | With Occlusion |
| Spatio-Temporal Analysis Of An Image | sequence | With Occlusion |
| Spatio-Temporal Continuous Wavelet Transforms For Motion-Based Segmentation In Real Image | sequence | s |
| Spatio-Temporal Relaxation Labelling Applied To Segmented Infrared Image | sequence | s |
| Spotting Dynamic Hand Gestures In Video Image | sequence | s Using Hidden Markov Models |
| Stereo Matching Based On A Combination Of Simple Features Used For Matching In Temporal Image | sequence | s |
| Stereo/Motion Cues In Pre-Attentive Vision Processing: Some Experiments With Random-Dot Stereographic Image | sequence | s |
| Structural Description Of Line Images By The Cross Section | sequence | Graph |
| Structure From Image | sequence | s Captured Through A Monocular Extra-Wide Angle Lens |
| Study On Using Structured Lighting To Analyze Time Varying Image | sequence | s, A |
| Super Resolution From Image | sequence | s |
| Surface Reconstruction From Image | sequence | s |
| Surface Reconstruction From Outdoor Image | sequence | s |
| Synthesis And Recognition Of | sequence | s |
| System For The Interpretation Of 3-D Moving Scenes From 2-D Image | sequence | s, A |
| Target Tracking And Range Estimation Using An Image | sequence | |
| Temporal Analysis Of Motion In Video | sequence | s Through Predictive Operators |
| Temporal Slice Analysis Of Image | sequence | s |
| Theorem Analysis On Optical Flow Estimation From Three Frames Of Image | sequence | s, The |
| Three-Dimensional Motion Compensation And Object Segmentation In A Long | sequence | Of Stereo Frames |
| Three-Dimensional Reconstruction Of Underwater Objects From A | sequence | Of Sonar Images |
| Three-Frame Corner Matching And Moving Object Extraction In A | sequence | Of Iamges |
| Toward The Derivation Of Three-Dimensional Descriptions From Image | sequence | s For Nonconvex Moving Objects |
| Towards Model-Based Recognition Of Human Movements In Image | sequence | s |
| Tracking And Detection Of Moving Point Targets In Noise Image | sequence | s By Local Maximum Likelihood |
| Tracking Complex Primitives In An Image | sequence | |
| Tracking Of 3d Multi-Part Objects Using Multiple Viewpoint Time-Varying | sequence | s |
| Tracking Of Complex Driving Manoeuvres In Traffic Image | sequence | s |
| Tracking Of Nonrigid Motion And 3d Structure From 2d Image | sequence | s Without Correspondences |
| Tracking Points And Line Segments In Image | sequence | s |
| Transitory Image | sequence | s, Asymptotic Properties, And Estimation Of Motion And Structure |
| Tree Search Algorithm For Target Detection In Image | sequence | s, A |
| Turtlegons: Generating Simple Polygons From | sequence | s Of Angles |
| Underwater Navigation By Video | sequence | Analysis |
| Unified Optical Flow Field Approach To Motion Analysis From A | sequence | Of Stereo Images |
| Unifying Framework For Structure And Motion Recovery From Image | sequence | s, A |
| Universal Hmm-Based Approach To Image | sequence | Classification, A |
| Use Your Hand As A 3d Mouse, Or, Relative Orientation From Extended | sequence | s Of Sparse Point And Line Correspondences Using The Affine Trifocal Tensor |
| Using Bilateral Symmetry To Improve 3d Reconstruction From Image | sequence | s |
| Variable Method For The Estimation Of Displacement Vector Fields From Image | sequence | s, A |
| Vehicle Path Specification By A | sequence | Of Straight Lines |
| Velocity Estimation From Image | sequence | s With Second Order Differential Operators |
| Velocity Selective Spatio-Temporal Filters For Motion Analysis In Image | sequence | |
| View Generation For Three-Dimensional Scenes From Video | sequence | s |
| View-Based Hand Segmentation And Hand- | sequence | Recognition With Complex Backgrounds |
| Virtual Reality Modeling From A | sequence | Of Range Images |
| Visual Perception And | sequence | s Of Eye Movement Fixations: A Stochastic Modeling Approach |
| [Conference On] Compression And Complexity Of | sequence | s, Positano, Italy |
448 for sequence
| _ | set | _ |
|---|
| 3d Interpretation System Based On Consistent Labeling Of A | set | Of Propositions. Application To The Interpretation Of Straight Line Correspondences, A |
| A-Shapes Of A Finite Point | set | |
| Adjacency Graphs On A Digitized Figure | set | And Their Applications To Texture Analysis |
| Advances In Fuzzy | set | s, Possibility Theory, And Applications, Plenum |
| Affine Matching Of Planar | set | s |
| Algebraic Analysis Of The Generating Functional For Discrete Random | set | s And Statistical Inference For Intensity In The Discrete Boolean Random-Set Model |
| Algebraic Analysis Of The Generating Functional For Discrete Random | set | s And Statistical Inference For Intensity In The Discrete Boolean Random-Set Model |
| Algorithm For Constructing Regions With Rectangles: Independence And Minimum Generating | set | s For Collections Of Intervals, An |
| Algorithm For Geometric | set | Operations Using Cellular Subdivision Techniques, An |
| Analysis And Design Of A Decision Tree Based On Entropy Reduction And Its Application To Large Character | set | Recognition |
| Analyzing A Scene'S Picture | set | Under Varying Lighting |
| Application Of Rough | set | s For Edge Enhancing Image Filters |
| Approach To A Generalised Technique For Image Contrast Enhancement Using The Concept Of Fuzzy | set | , An |
| Approximation Of A | set | Of Points By A Grid |
| Area And Perimeter Computation Of The Union Of A | set | Of Iso-Rectangles In Parallel |
| Automatic Generation Of Morphological | set | Recognition Algorithms, Springer |
| Automatic Selection Of Object Enhancement Operator With Quantitative Justification Based On Fuzzy | set | Theoretic Measures |
| Averaging Of Random | set | s Based On Their Distance Functions |
| Binary Random Fields, Random Closed | set | s, And Morphological Sampling |
| Blend Surfaces For | set | Theoretic Volume Modelling Systems |
| Blind Approximation Of Planar Convex | set | s |
| Boundary Evaluation Using Inner And Outer | set | s: The Isos Method |
| Building A Representative Training | set | Based On Eigenimages |
| Building An Octree From A | set | Of Parallelepipeds |
| C1 Quadtree Interpolation Over Arbitrary Point | set | s |
| Camera Calibration Technique Using Three | set | s Of Parallel Lines, A |
| Circular Separability Of Planar Point | set | s |
| Coding Scheme For Certain | set | s Of Digital Curves, A |
| Color Image Analysis Using Fuzzy | set | Theory |
| Compact | set | Of Image Processing Primitives And Their Role In A Successful Application Program, A |
| Comparison Of Various Filter | set | s For Defect Detection In Textiles |
| Complete And Irreducible | set | Of Locally Orthogonal Invariant Features Of 2-Dimensional Images, A |
| Complete Dense Stereovision Using Level | set | Methods |
| Complete | set | s Of Complex Zernike Moment Invariants And The Role Of The Pseudoinvariants |
| Computation Of The Axial View Of A | set | Of Isothetic Parallelepipeds |
| Computational Framework For Determining Stereo Correspondence From A | set | Of Linear Spatial Filters |
| Computational Framework For Determining Stereo Correspondence From A | set | Of Linear Spatial Filters, A |
| Computing A Longest Common Subsequence For A | set | Of Strings |
| Computing Simple Circuits From A | set | Of Line Segments Is Np-Complete |
| Computing The Hausdorff | set | Distance In Linear Time For Any L Point Distance |
| Computing The Largest Empty Convex Sub | set | Of A Set Of Points |
| Computing The Minimum Hausdorff Distance Between Two Point | set | s On A Line Under Translation |
| Computing The Shape Of A Point | set | In Digital Images |
| Computing The Width Of A | set | |
| Computing The Width Of A | set | |
| Concave Fuzzy | set | : A Concept Complementary To The Convex Fuzzy Set |
| Concave Fuzzy | set | : A Concept Complementary To The Convex Fuzzy Set |
| Constructing Roadmaps Of Semi-Algebraic | set | s I: Completeness |
| Convex | set | Symmetry Measurement Via Minkowski Addition |
| Convexity Of | set | s Of Lines |
| Creaseness From Level | set | Extrinsic Curvature |
| Critical | set | s For 3d Reconstruction Using Lines |
| Critical | set | s Of Lines For Camera Displacement Estimation: A Mixed Euclidean-Projective And Constructive Approach, The |
| Critical | set | s Of Lines For Camera Displacement Estimation: A Mixed Eulidean-Projective And Constructive Approach, The |
| Csg '96, | set | -Theoretic Solid Modelling: Techniques And Applications, Winchester, Uk |
| Csg 98: | set | -Theoretic Solid Modelling: Techniques And Applications, Winchester, Uk |
| Csg | set | -Theoretic Solid Modelling And Nc Machining Of Blend Surfaces |
| Csg94, | set | -Theoretic Solid Modelling: Techniques And Applications, Winchester, Uk |
| Curve-Like | set | s, Normal Complexity, And Representation |
| Data | set | For Quantitative Motion Analysis, A |
| Data | set | For Quantitative Motion Analysis, A |
| Decomposing A | set | Of Points Into Chains, With Applications To Permutation And Circle Graphs |
| Deriving Texture Feature | set | For Content-Based Retrieval Of Satellite Image Database |
| Determining Correspondences And Rigid Motion Of 3-D Point | set | s With Missing Data |
| Diameter Of A Fuzzy | set | , The |
| Digital Connectivity And Extended Well-Composed | set | s For Gray Images |
| Digital Signal Restoration Using Fuzzy | set | s |
| Directed Graph Representation For Root-Signal | set | Of Median Filters |
| Display Of Visible Edges Of A | set | Of Convex Polygons |
| Distance Measures For Point | set | s And Their Computation |
| Distances Between Fuzzy | set | s |
| Distributions Of Distances And Triangles In A Point | set | And Algorithms For Computing The Largest Common Point Sets |
| Distributions Of Distances And Triangles In A Point | set | And Algorithms For Computing The Largest Common Point Sets |
| Dynamic Monotone Priorities On Planar | set | s |
| Dynamic Programming Inference Of Markov Networks From Finite | set | s Of Sample Strings |
| Dynamical | set | s Of Points |
| Efficient Algorithm For Polygon Overlay For Dense Map Image Data | set | s |
| Efficient Shape Representation By Minimizing The | set | Of Centres Of Maximal Discs/Spheres |
| Eliminating Redundant Primitives From | set | -Theoretic Solid Models By A Consideration Of Constituents |
| Exact And Approximate Computational Geometry Solutions Of An Unrestricted Point | set | Stereo Matching Problem |
| Extension Of Manifold Boundary Representations To The R- | set | s, An |
| Extensions To The Fuzzy Pointed | set | With Applications To Image Processing |
| Extra | set | s Of Eyes |
| Extra | set | s Of Eyes |
| Extracting Geometric Shapes From A | set | Of Points |
| Extracting Projective Structure From Single Perspective Views Of 3d Point | set | s |
| Extracting Structure From An Affine View Of A 3d Point | set | With One Or Two Bilateral Symmetries |
| Fast Algorithm For Computing The Shape Of A | set | Of Digital Points |
| Fast Algorithms For Computing The Diameter Of A Finite Planar | set | |
| Fast Dynamic Intersection Searching In A | set | Of Isothetic Line Segments |
| Fast Level | set | Based Algorithm For Topology-Independent Shape Modeling, A |
| Faster Point | set | Pattern Matching In 3d |
| Features For Recognition Of Projectively Deformed Point | set | s, The |
| Finding Shortest Paths On Surfaces Using Level | set | s Propagation |
| Finding The Convex Hull Of A Sorted Point | set | In Parallel |
| Finding The Diameter Of A | set | Of Lines |
| Finding The Minimal | set | Of Maximum Disks For Binary Objects |
| Finding Transversals For | set | s Of Simple Geometric Figures |
| Finite Random | set | s And Morphology |
| Fitting A | set | Of Points By A Circle |
| Fitting Polygonal Functions To A | set | Of Points In The Plane |
| Fuzzy | set | And Possibility Theory (Acapulco, Mexico, December 1980), Pergamon, Elmsford |
| Fuzzy | set | Theory And Its Applications, Kluwer, Boston |
| Fuzzy | set | Theory|Foundations And Applications, Prentice-Hall, Upper Saddle River |
| Fuzzy | set | s For Intelligent Systems, Morgan Kaufmann, San Mateo |
| Fuzzy | set | s In Pattern Recognition |
| Fuzzy- | set | Based Feature Extraction For Objects Of Various Shapes And Appearances |
| General Method For Partial Point | set | Matching, A |
| General Surface Approach To The Integration Of A | set | Of Range Views, A |
| Generalized Convexity: $Rm Cp_3$ And Boundaries Of Convex | set | s |
| Genetic Algorithm Parameter | set | s For Line Labelling |
| Geometry Of Basis | set | s For Morphologic Closing, The |
| Geometry Of Fractal | set | s, Cambridge University Press, Cambridge, The |
| Geometry Theorem Proving By Decomposition Of Quasi-Algebraic | set | s: An Applications Of The Ritt-Wu Principle |
| Global Bifurcation | set | s And Stable Projections Of Nonsingular Algebraic Surfaces |
| Groups, Fixed | set | s, Symmetries, And Invariants |
| Guest Ed., Special Issue On Fuzzy | set | Technology In Pattern Recognition |
| Halfspace Range Search: An Algorithmic Application Of K- | set | s |
| Halfspace Range Search: An Algorithmic Application Of K- | set | s |
| Human Face Recognition And The Face Image | set | 'S Topology |
| Images As Functions And | set | s |
| Implementation Of | set | Operation For Regularized Geometric Object, The |
| Integrated Surface, Curve And Junction Inference From Sparse 3-D Data | set | s |
| Intersection And Closest-Pair Problems For A | set | Of Planar Discs |
| Inverse And Approximation Problem For Two-Dimensional Fractal | set | s |
| Learning 3d Object Descriptions From A | set | Of Stereo Vision Observations |
| Least Squares Fitting Of Two 3-D Point | set | s |
| Level | set | And Fast Marching Methods In Image Processing And Computer Vision |
| Level- | set | Approach To 3d Reconstruction From Range Data, A |
| Matching And Motion Estimation Of Three-Dimensional Point And Line | set | s Using Eigenstructure Without Correspondences |
| Matching | set | s Of 3d Line Segments With Application To Polygonal Arc Matching |
| Matrix Method For Finding | set | s Of Contiguous Non-Zero Elements In A 2-Dimensional Array |
| Matrix Method For Finding | set | s Of Contiguous Non-Zero Elements In A 2-Dimensional Array-Ii |
| Maximal Matching Of Two Three-Dimensional Point | set | s |
| Maximum-Likelihood Estimation For The Two-Dimensional Discrete Boolean Random | set | And Function Models Using Multidimensional Linear Samples |
| Measure Of Edge Ambiguity Using Fuzzy | set | s, A |
| Medians Of Discrete | set | s, The |
| Merging Bsp Yields Polyhedral | set | Operations |
| Method For Recognizing Configurations Consisting Of Line | set | s And Its Application To Discrimination Of Seismic Face Structures, A |
| Metrically Independent | set | s In The Digital Plane |
| Minimal Operator | set | For Passive Depth From Defocus |
| Minimax Geometric Fitting Of Two Corresponding | set | s Of Points |
| Minimum Feature Point | set | Representing A Convex Polyhedral Object, The |
| Mlp-Based Texture Segmentation Method Without Selecting A Feature | set | , An |
| Mlp-Based Texture Segmentation Technique Which Does Not Require A Feature | set | , An |
| Monocular Pose Determination From Lines: Critical | set | s And Maximum Number Of Solutions |
| More On K- | set | s Of Finite Sets In The Plane |
| More On K- | set | s Of Finite Sets In The Plane |
| Morphological Filters. Part I: Their | set | -Theoretic Analysis And Relations To Linear Shift-Invariant Filters. Part Ii: Their Relations To Median, Order-Statistic, And Stack Filters, T-Assp 35, 1987 |
| Morphological Scheme For Mean Curvature Motion And Applications To Anisotropic Diffusion And Motion Of Level | set | s, A |
| Morphological Scheme For Mean Curvature Motion And Applications To Anisotropic Diffusion And Motion Of Level | set | s, A |
| Morphology On Convolution Lattices With Applications To The Slope Transform And Random | set | Theory |
| Motion Estimation From 3-D Point | set | s With And Without Correspondences |
| Movable Separability Of | set | s |
| Multi-Scale Analysis Of Discrete Point | set | s |
| Multispectral Analysis Of Object Surfaces Extracted From Volumetric Data | set | s |
| New Algorithm For Calculating An Invariant Of 3d Point | set | s From A Single View |
| New | set | Of Fast Algorithms For Mathematical Morphology I: Idempotent Geodesic Transforms, A |
| New | set | Of Fast Algorithms For Mathematical Morphology Ii: Identification Of Topographic Features On Grayscale Images, A |
| New | set | Of Multiscale Texture Features Based On B-Spline Image Approximation, A |
| New | set | Of Texture Features Based On The Haar Transform, A |
| Non-Partitionable Point | set | s |
| Note On Average Distances In Digital | set | s, A |
| Note On Fuzzy Starshaped Fuzzy | set | s, A |
| Note On Hausdorff-Like Metrics For Fuzzy | set | s |
| Novel Single-Pass Thinning Algorithm And An Effective | set | Of Performance Criteria, A |
| Number Of Furthest Neighbor Pairs Of A Finite Planar | set | , The |
| O(Log N) Time Parallel Algorithm For Triangulating A | set | Of Points In The Plane, An |
| O(Nlogn) Algorithm For The Voronoi Diagram Of A | set | Of Simple Curve Segments, An |
| Object Identification And Orientation Estimation From Point | set | Tensors |
| On A Metric Distance Between Fuzzy | set | s |
| On A Planar Representation Of 3d Figures Commutative With Respect To | set | And Morphological Operations |
| On Approximation Behavior And Implementation Of The Greedy Triangulation For Convex Planar Point | set | s |
| On Computing Simple Circuits On A | set | Of Line Segments |
| On Determining The On-Line Minimax Linear Fit To A Discrete Point | set | In The Plane |
| On Hausdorff-Like Metrics For Fuzzy | set | s |
| On Similarity Between Finite | set | s In Plane |
| On Surface Curvature Computation From Level | set | Contours |
| On Symmetric Forms Of Discrete | set | s Of Points And Digital Curves |
| On The Convex Layers Of A Planar | set | |
| On The Intersection Of A | set | Of Direction Cones |
| On The Limit | set | s Of Cellular Automata |
| On The New Hough Algorithms Without Two-Dimensional Array For Parameter Space To Detect A | set | Of Straight Lines |
| On The Partitionability Of Point | set | s In Space |
| On The Perimeter And Area Of Fuzzy | set | s |
| On The Shape Of A | set | Of Points |
| On The X-Y Convex Hull Of A | set | Of X-Y Polygons |
| On Translating A | set | Of Objects In 2- And 3-Dimensional Space |
| Optimal Algorithm For Constructing The Delaunay Triangulation Of A | set | Of Line Segments, An |
| Optimal Algorithms For Computing The Minimum Distance Between Two Finite Planar | set | s |
| Optimal Algorithms For Finding The Symmetries Of A Planar Point | set | |
| Optimal Algorithms To Compute The Closure Of A | set | Of Iso-Rectangles |
| Optimal Divide-And-Conquer To Compute Measure And Contour For A | set | Of Iso-Rectangles |
| Optimal Parallel Algorithm For Triangulating A | set | Of Points In The Plane, An |
| Optimal Parallel Algorithms For Polygon And Point- | set | Problems |
| Optimal | set | Of Image Segmentation Rules, An |
| Optimal Taxiway Repair: A | set | -Covering Approach |
| Optimal Training | set | Design For 3d Object Recognition |
| Outline Of A | set | Of Points |
| Parallel Algorithm For Computing Polygon | set | Operations, A |
| Parallel Algorithms For All Maximal Equally-Spaced Collinear | set | s And All Maximal Regular Coplanar Lattices |
| Partitioning And Separating | set | s Of Orthogonal Polygons |
| Partitioning Point | set | s In Arbitrary Dimensions |
| Pattern Recognition-Applications To Large Data- | set | Problems, Marcel Dekker |
| Perimeter Of A Fuzzy | set | , The |
| Perspective Invariant Description Of Planar Point | set | And Their Application In Matching |
| Planning The Optimal | set | Of Views Using The Max-Min Principle |
| Point | set | Pattern Matching In 3-D |
| Point | set | Pattern Matching In D Dimensions |
| Polygonizations Of Point | set | s In The Plane |
| Power Law For The Distortion Of Planar | set | s, A |
| Practical Basis | set | For Chinese Character Recognition, A |
| Prototype Image Constraints For | set | -Theoretic Image Restoration |
| Radius Imagery Cdrom Ground Truthed Data | set | , The |
| Range Searching In A | set | Of Line Segments |
| Reasoning About Pictures And Similarity Retrieval For Image Information Systems Based On Sk- | set | Knowledge Representation |
| Recovering Motion And Structure From A | set | Of Planar Patches In An Uncalibrated Image Sequence |
| Reductions In The Search Space For Deriving A Fractal | set | Of An Arbitrary Shape |
| Reflection Coefficient Representation For Convex Planar | set | s |
| Reflection Symmetry Measure For Convex | set | s |
| Region Detection Based On An Homogeneous | set | Of Local Operators For Hardware Implementation |
| Registration Of Multiple Point | set | s |
| Relaxation Labeling Using Continuous Label | set | s |
| Representation Of Fuzzy Operators Using Ordinary | set | s |
| Representation Of Uncertainty In Computer Vision Using Fuzzy | set | s |
| Rice'S Theorem For The Limit | set | s Of Cellular Automata |
| Rigid Motion And Structure From Several | set | s Of Parallel Lines In A Monocular Image Sequence |
| Robust | set | Operations On Polyhedral Solids |
| Robust Unmixing Of Large | set | s Of Mixed Pixels |
| Root-Signal | set | s Of Morphological Filters And Their Use In Variable-Length Btc Image Coding |
| Segmentation Of Deformable Templates With Level | set | s Characterized By Particle Systems |
| Separating Point | set | s By Circles, And The Recognition Of Digital Disks |
| set | Models And Boolean Operations For Solids And Assemblies |
| set | Of Invariant Features For Three-Dimensional Gray-Level Objects By Harmonic Analysis |
| set | Operations For Unaligned Linear Quadtrees |
| set | Operations On Constant Bit-Length Linear Quadtrees |
| set | Operations On Linear Quadtrees |
| set | Operations On Polyhedra Using Binary Space Partitioning Trees |
| set | Theoretic Estimation By Random Search |
| set | -Theoretic Volume Model Evaluation And Picture-Plane Coherence |
| set | -Theoretical Algebraic Approaches To Connectivity In Continuous Or Discrete Spaces |
| set | -Valued Means Of Random Particles |
| set | s And Measures Of Fractional Dimension |
| Shape From Shading: Level | set | Propagation And Viscosity Solutions |
| Shape Modeling With Front Propagation: A Level | set | Approach |
| Shape Of An Arbitrary Finite Point | set | In Ir2 |
| Similarity And Affine Distance Between 2d Point | set | s |
| Similarity And Affine Invariant Distances Between 2d Point | set | s |
| Simultaneous Fitting Of Several Planes To Point | set | s Using Neural Networks |
| Simultaneous Rotation And Translation Fitting Of Two 3-D Point | set | s |
| Single View Recognition And Pose Estimation Of 3d Objects Using | set | s Of Prototypical Views And Spatially Tolerant Contour Representations |
| Skeletonization Via Distance Maps And Level | set | s |
| Solution For The Registration Of Multiple 3d Point | set | s Using Unit Quaternions, A |
| Some Techniques For Geometric Searching With Implicit | set | Representations |
| Spectral Fuzzy | set | s And Soft Thresholding |
| Statistical Shape Discrimination And Clustering Using An Efficient | set | Of Moments |
| Steiner Minimal Trees On | set | s Of Four Points |
| Strong Chord Property For 4-Connected Convex Digital | set | s, A |
| Strongly Normal | set | s Of Convex Polygons Or Polyhedra |
| Structure And Motion From A Sparse | set | Of Views |
| Structure And Motion From A Sparse | set | Of Views |
| Structure Of Irreducible Digital | set | s Obtained By Thinning Algorithms, The |
| Subjective Entropy Of Probabilistic | set | s And Fuzzy Cluster Analysis |
| Tight Package Wrapping For Planar Point | set | s, A |
| Time Optimal Robot Navigation Via The Slack | set | Method |
| Time- And Space-Optimal Contour Computation For A | set | Of Rectangles |
| Tracking A Dynamic | set | Of Feature Points |
| Tracking Level | set | s By Level Sets: A Method For Solving The Shape From Shading Problem |
| Tracking Level | set | s By Level Sets: A Method For Solving The Shape From Shading Problem |
| Translation Separability Of | set | s Of Polygons |
| Triangulating Point | set | s In Space |
| Triangulating Simplicial Point | set | s In Space |
| Typology Of Spatial Structures Of Images Having The Same Color | set | |
| Use Of Fourier And Karhunen-Loeve Decomposition For Fast Pattern Matching With A Large | set | Of Templates |
| Use Of Noise Properties In | set | Theoretic Estimation, The |
| Using A Mixed Wave-Diffusion Process To Elicit The Symmetry | set | |
| Using Contextual Informaiton To | set | Control Parameters Of A Vision Process |
| Using Geometric Corners To Build A 2d Mosaic From A | set | Of Images |
| Variational Principles, Surface Evolution, Pde'S, Level | set | Methods, And The Stereo Problem |
| Very Efficient Strategy For Very Large Data | set | s Clustering-Application To Image Segmentation, A |
| View Variation Of Point | set | And Line Segment Features |
| View Variation Of Point- | set | And Line-Segment Features |
| Viewpoint-Invariant Representation Of Generalized Cylinders Using The Symmetry | set | |
| Voronoi Diagrams Of | set | -Theoretic Solid Models |
| Weighted Averaging Of A | set | Of Noisy Images For Maximum Signal-To-Noise Ratio |
| Well-Composed | set | s |
| What Is The | set | Of Images Of An Object Under All Possible Illumination Conditions? |
| What Is The | set | Of Images Of An Object Under All Possible Lighting Conditions? |
| What'S In A | set | Of Points |
| ``Geometric Properties'' Of | set | s Of Lines |
290 for set