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Computer vision, ECCV 2004 : 8th European Conference on Computer Vision, Prague, Czech Republic, May 11-14, 2004 : proceedings

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Computer vision, ECCV 2004 : 8th European Conference on Computer Vision, Prague, Czech Republic, May 11 14, 20

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Author: European Conference on Computer Vision (8th : 2004 : Prague, Czech Republic), Pajdla, Tomáš, Matas, Jiří

Added by: sketch

Added Date: 2015-12-29

Language: eng

Subjects: Computer vision, Vision par ordinateur, Beeldverwerking, Computers, ECCV, ECCV, Computer vision

Publishers: Berlin ; New York : Springer

Collections: folkscanomy miscellaneous, folkscanomy, additional collections

ISBN Number: 3540219846, 9783540219842, 3540219838, 9783540219835, 354021982X, 9783540219828, 3540219811, 9783540219811

Pages Count: 600

PPI Count: 600

PDF Count: 1

Total Size: 720.12 MB

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Computer Vision - ECCV 2004: 8th European Conference on Computer Vision, Prague, Czech Republic, May 11-14, 2004. Proceedings, Part III
Author: Tomáš Pajdla, Jiří Matas
Published by Springer Berlin Heidelberg
ISBN: 978-3-540-21982-8
DOI: 10.1007/b97871

Table of Contents:

  • 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 Articulated Motion Using a Mixture of Autoregressive Models
  • Novel Skeletal Representation for Articulated Creatures
  • An Accuracy Certified Augmented Reality System for Therapy Guidance
  • 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

Includes bibliographical references and index

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