Del i serien Lecture Notes in Computer Science

Computer Vision - ECCV 2002

7th European Conference on Computer Vision, Copenhagen, Denmark, May 28-31, 2002, Proceedings, Part III

Häftad, Engelska, 2002

AvAnders Heyden,Gunnar Sparr,Mads Nielsen,Peters Johansen

1 479 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt för medlemmar vid köp för minst 249 kr.

The four-volume set comprising LNCS volumes 2350/2351/2352/2353 constitutes the refereed proceedings of the 7th European Conference on Computer Vision, ECCV 2002, held in Copenhagen, Denmark, in May 2002. The 226 revised full papers presented were carefully reviewed and selected from a total of around 600 submissions. The four books offer topical sections on active and real-time vision, image features, visual motion, surface geometry, grouping and segmentation, stereoscopic vision, structure from motion, shape, object recognition, color and shading, vision systems, statistical learning, robot vision, and calibration.

Produktinformation

Utgivningsdatum2002-05-17
Mått155 x 235 x undefined mm
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor919
FörlagSpringer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN9783540437468

Tillhör följande kategorier

Systemvetenskap och AI inom Data och IT

Shape.- 3D Statistical Shape Models Using Direct Optimisation of Description Length.- Approximate Thin Plate Spline Mappings.- DEFORMOTION Deforming Motion, Shape Average and the Joint Registration and Segmentation of Images.- Region Matching with Missing Parts.- Stereoscopic Vision I.- What Energy Functions Can Be Minimized via Graph Cuts?.- Multi-camera Scene Reconstruction via Graph Cuts.- A Markov Chain Monte Carlo Approach to Stereovision.- A Probabilistic Theory of Occupancy and Emptiness.- Texture Shading and Colour / Grouping and Segmentation / Object Recognition.- Texture Similarity Measure Using Kullback-Leibler Divergence between Gamma Distributions.- All the Images of an Outdoor Scene.- Recovery of Reflectances and Varying Illuminants from Multiple Views.- Composite Texture Descriptions.- Constructing Illumination Image Basis from Object Motion.- Diffuse-Specular Separation and Depth Recovery from Image Sequences.- Shape from Texture without Boundaries.- Statistical Modeling of Texture Sketch.- Classifying Images of Materials: Achieving Viewpoint and Illumination Independence.- Estimation of Multiple Illuminants from a Single Image of Arbitrary Known Geometry.- The Effect of Illuminant Rotation on Texture Filters: Lissajous’s Ellipses.- On Affine Invariant Clustering and Automatic Cast Listing in Movies.- Factorial Markov Random Fields.- Evaluation and Selection of Models for Motion Segmentation.- Surface Extraction from Volumetric Images Using Deformable Meshes: A Comparative Study.- DREAM2S: Deformable Regions Driven by an Eulerian Accurate Minimization Method for Image and Video Segmentation.- Neuro-Fuzzy Shadow Filter.- Parsing Images into Region and Curve Processes.- Yet Another Survey on Image Segmentation: Region and Boundary Information Integration.- Perceptual Grouping from Motion Cues Using Tensor Voting in 4-D.- Deformable Model with Non-euclidean Metrics.- Finding Deformable Shapes Using Loopy Belief Propagation.- Probabilistic and Voting Approaches to Cue Integration for Figure-Ground Segmentation.- Bayesian Estimation of Layers from Multiple Images.- A Stochastic Algorithm for 3D Scene Segmentation and Reconstruction.- Normalized Gradient Vector Diffusion and Image Segmentation.- Spectral Partitioning with Indefinite Kernels Using the Nyström Extension.- A Framework for High-Level Feedback to Adaptive, Per-Pixel, Mixture-of-Gaussian Background Models.- Multivariate Saddle Point Detection for Statistical Clustering.- Parametric Distributional Clustering for Image Segmentation.- Probabalistic Models and Informative Subspaces for Audiovisual Correspondence.- Volterra Filtering of Noisy Images of Curves.- Image Segmentation by Flexible Models Based on Robust Regularized Networks.- Principal Component Analysis over Continuous Subspaces and Intersection of Half-Spaces.- On Pencils of Tangent Planes and the Recognition of Smooth 3D Shapes from Silhouettes.- Estimating Human Body Configurations Using Shape Context Matching.- Probabilistic Human Recognition from Video.- SoftPOSIT: Simultaneous Pose and Correspondence Determination.- A Pseudo-Metric for Weighted Point Sets.- Shock-Based Indexing into Large Shape Databases.- EigenSegments: A Spatio-Temporal Decomposition of an Ensemble of Images.- On the Representation and Matching of Qualitative Shape at Multiple Scales.- Combining Simple Discriminators for Object Discrimination.- Probabilistic Search for Object Segmentation and Recognition.- Real-Time Interactive Path Extraction with On-the-Fly Adaptation of the External Forces.- Matching and Embedding through Edit-Union of Trees.- A Comparison of Search Strategies for Geometric Branch and Bound Algorithms.- Face Recognition from Long-Term Observations.- Stereoscopic Vision II.- Helmholtz Stereopsis: Exploiting Reciprocity for Surface Reconstruction.- Minimal Surfaces for Stereo.- Finding the Largest Unambiguous Component of Stereo Matching.

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Del i serien Lecture Notes in Computer Science

Computer Vision - ECCV 2002

7th European Conference on Computer Vision, Copenhagen, Denmark, May 28-31, 2002, Proceedings, Part III

Häftad, Engelska, 2002

AvAnders Heyden,Gunnar Sparr,Mads Nielsen,Peters Johansen

1 479 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt för medlemmar vid köp för minst 249 kr.

Produktinformation

Utgivningsdatum2002-05-17
Mått155 x 235 x undefined mm
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor919
FörlagSpringer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN9783540437468

Tillhör följande kategorier

Systemvetenskap och AI inom Data och IT

Shape.- 3D Statistical Shape Models Using Direct Optimisation of Description Length.- Approximate Thin Plate Spline Mappings.- DEFORMOTION Deforming Motion, Shape Average and the Joint Registration and Segmentation of Images.- Region Matching with Missing Parts.- Stereoscopic Vision I.- What Energy Functions Can Be Minimized via Graph Cuts?.- Multi-camera Scene Reconstruction via Graph Cuts.- A Markov Chain Monte Carlo Approach to Stereovision.- A Probabilistic Theory of Occupancy and Emptiness.- Texture Shading and Colour / Grouping and Segmentation / Object Recognition.- Texture Similarity Measure Using Kullback-Leibler Divergence between Gamma Distributions.- All the Images of an Outdoor Scene.- Recovery of Reflectances and Varying Illuminants from Multiple Views.- Composite Texture Descriptions.- Constructing Illumination Image Basis from Object Motion.- Diffuse-Specular Separation and Depth Recovery from Image Sequences.- Shape from Texture without Boundaries.- Statistical Modeling of Texture Sketch.- Classifying Images of Materials: Achieving Viewpoint and Illumination Independence.- Estimation of Multiple Illuminants from a Single Image of Arbitrary Known Geometry.- The Effect of Illuminant Rotation on Texture Filters: Lissajous’s Ellipses.- On Affine Invariant Clustering and Automatic Cast Listing in Movies.- Factorial Markov Random Fields.- Evaluation and Selection of Models for Motion Segmentation.- Surface Extraction from Volumetric Images Using Deformable Meshes: A Comparative Study.- DREAM2S: Deformable Regions Driven by an Eulerian Accurate Minimization Method for Image and Video Segmentation.- Neuro-Fuzzy Shadow Filter.- Parsing Images into Region and Curve Processes.- Yet Another Survey on Image Segmentation: Region and Boundary Information Integration.- Perceptual Grouping from Motion Cues Using Tensor Voting in 4-D.- Deformable Model with Non-euclidean Metrics.- Finding Deformable Shapes Using Loopy Belief Propagation.- Probabilistic and Voting Approaches to Cue Integration for Figure-Ground Segmentation.- Bayesian Estimation of Layers from Multiple Images.- A Stochastic Algorithm for 3D Scene Segmentation and Reconstruction.- Normalized Gradient Vector Diffusion and Image Segmentation.- Spectral Partitioning with Indefinite Kernels Using the Nyström Extension.- A Framework for High-Level Feedback to Adaptive, Per-Pixel, Mixture-of-Gaussian Background Models.- Multivariate Saddle Point Detection for Statistical Clustering.- Parametric Distributional Clustering for Image Segmentation.- Probabalistic Models and Informative Subspaces for Audiovisual Correspondence.- Volterra Filtering of Noisy Images of Curves.- Image Segmentation by Flexible Models Based on Robust Regularized Networks.- Principal Component Analysis over Continuous Subspaces and Intersection of Half-Spaces.- On Pencils of Tangent Planes and the Recognition of Smooth 3D Shapes from Silhouettes.- Estimating Human Body Configurations Using Shape Context Matching.- Probabilistic Human Recognition from Video.- SoftPOSIT: Simultaneous Pose and Correspondence Determination.- A Pseudo-Metric for Weighted Point Sets.- Shock-Based Indexing into Large Shape Databases.- EigenSegments: A Spatio-Temporal Decomposition of an Ensemble of Images.- On the Representation and Matching of Qualitative Shape at Multiple Scales.- Combining Simple Discriminators for Object Discrimination.- Probabilistic Search for Object Segmentation and Recognition.- Real-Time Interactive Path Extraction with On-the-Fly Adaptation of the External Forces.- Matching and Embedding through Edit-Union of Trees.- A Comparison of Search Strategies for Geometric Branch and Bound Algorithms.- Face Recognition from Long-Term Observations.- Stereoscopic Vision II.- Helmholtz Stereopsis: Exploiting Reciprocity for Surface Reconstruction.- Minimal Surfaces for Stereo.- Finding the Largest Unambiguous Component of Stereo Matching.