Computer Vision - ECCV 2004: 8th European Conference on Computer Vision, Prague, Czech Republic, May 11-14, 2004. Proceedings, Part III: Lecture Notes in Computer Science, cartea 3023
Editat de Tomas Pajdla, Jiri Matasen Limba Engleză Paperback – 30 apr 2004
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Specificații
ISBN-13: 9783540219828
ISBN-10: 354021982X
Pagini: 644
Ilustrații: XXVIII, 614 p.
Dimensiuni: 155 x 235 x 39 mm
Greutate: 1.08 kg
Ediția:2004
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Lecture Notes in Computer Science
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 354021982X
Pagini: 644
Ilustrații: XXVIII, 614 p.
Dimensiuni: 155 x 235 x 39 mm
Greutate: 1.08 kg
Ediția:2004
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Lecture Notes in Computer Science
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
ResearchCuprins
Learning and Recognition.- A Constrained Semi-supervised Learning Approach to Data Association.- Learning Mixtures of Weighted Tree-Unions by Minimizing Description Length.- Decision Theoretic Modeling of Human Facial Displays.- Kernel Feature Selection with Side Data Using a Spectral Approach.- Tracking II.- Tracking Articulated Motion Using a Mixture of Autoregressive Models.- Novel Skeletal Representation for Articulated Creatures.- An Accuracy Certified Augmented Reality System for Therapy Guidance.- Posters III.- 3D Human Body Tracking Using Deterministic Temporal Motion Models.- Robust Fitting by Adaptive-Scale Residual Consensus.- Causal Camera Motion Estimation by Condensation and Robust Statistics Distance Measures.- An Adaptive Window Approach for Image Smoothing and Structures Preserving.- Extraction of Semantic Dynamic Content from Videos with Probabilistic Motion Models.- Are Iterations and Curvature Useful for Tensor Voting?.- A Feature-Based Approach for Determining Dense Long Range Correspondences.- Combining Geometric- and View-Based Approaches for Articulated Pose Estimation.- Shape Matching and Recognition – Using Generative Models and Informative Features.- Generalized Histogram: Empirical Optimization of Low Dimensional Features for Image Matching.- Recognizing Objects in Range Data Using Regional Point Descriptors.- Shape Reconstruction from 3D and 2D Data Using PDE-Based Deformable Surfaces.- Structure and Motion Problems for Multiple Rigidly Moving Cameras.- Detection and Tracking Scheme for Line Scratch Removal in an Image Sequence.- Color Constancy Using Local Color Shifts.- Image Anisotropic Diffusion Based on Gradient Vector Flow Fields.- Optimal Importance Sampling for Tracking in Image Sequences: Application to Point Tracking.- Learning to Segment.- MCMC-Based Multiview Reconstruction of Piecewise Smooth Subdivision Curves with a Variable Number of Control Points.- Bayesian Correction of Image Intensity with Spatial Consideration.- Stretching Bayesian Learning in the Relevance Feedback of Image Retrieval.- Real-Time Tracking of Multiple Skin-Colored Objects with a Possibly Moving Camera.- Evaluation of Image Fusion Performance with Visible Differences.- An Information-Based Measure for Grouping Quality.- Bias in Shape Estimation.- Contrast Marginalised Gradient Template Matching.- The Kullback-Leibler Kernel as a Framework for Discriminant and Localized Representations for Visual Recognition.- Partial Object Matching with Shapeme Histograms.- Modeling and Synthesis of Facial Motion Driven by Speech.- Recovering Local Shape of a Mirror Surface from Reflection of a Regular Grid.- Structure of Applicable Surfaces from Single Views.- Joint Bayes Filter: A Hybrid Tracker for Non-rigid Hand Motion Recognition.- Iso-disparity Surfaces for General Stereo Configurations.- Camera Calibration with Two Arbitrary Coplanar Circles.- Reconstruction of 3-D Symmetric Curves from Perspective Images without Discrete Features.- A Topology Preserving Non-rigid Registration Method Using a Symmetric Similarity Function-Application to 3-D Brain Images.- A Correlation-Based Approach to Robust Point Set Registration.- Hierarchical Organization of Shapes for Efficient Retrieval.- Information-Based Image Processing.- Intrinsic Images by Entropy Minimization.- Image Similarity Using Mutual Information of Regions.
Caracteristici
Includes supplementary material: sn.pub/extras