Computer Vision - ECCV 2004

1. Front Matter

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2. Learning and Recognition

   1. A Constrained Semi-supervised Learning Approach to Data Association

      • Hendrik Kück, Peter Carbonetto, Nando de Freitas

      Pages 1-12

   2. Learning Mixtures of Weighted Tree-Unions by Minimizing Description Length

      • Andrea Torsello, Edwin R. Hancock

      Pages 13-25

   3. Decision Theoretic Modeling of Human Facial Displays

      • Jesse Hoey, James J. Little

      Pages 26-38

   4. Kernel Feature Selection with Side Data Using a Spectral Approach

      • Amnon Shashua, Lior Wolf

      Pages 39-53

3. Tracking II

   1. Tracking Articulated Motion Using a Mixture of Autoregressive Models

      • Ankur Agarwal, Bill Triggs

      Pages 54-65

   2. Novel Skeletal Representation for Articulated Creatures

      • Gabriel J. Brostow, Irfan Essa, Drew Steedly, Vivek Kwatra

      Pages 66-78

   3. An Accuracy Certified Augmented Reality System for Therapy Guidance

      • Stéphane Nicolau, Xavier Pennec, Luc Soler, Nicholas Ayache

      Pages 79-91

4. Posters III

   1. 3D Human Body Tracking Using Deterministic Temporal Motion Models

      • Raquel Urtasun, Pascal Fua

      Pages 92-106

   2. Robust Fitting by Adaptive-Scale Residual Consensus

      • Hanzi Wang, David Suter

      Pages 107-118

   3. Causal Camera Motion Estimation by Condensation and Robust Statistics Distance Measures

      • Tal Nir, Alfred M. Bruckstein

      Pages 119-131

   4. An Adaptive Window Approach for Image Smoothing and Structures Preserving

      • Charles Kervrann

      Pages 132-144

   5. Extraction of Semantic Dynamic Content from Videos with Probabilistic Motion Models

      • Gwenaëlle Piriou, Patrick Bouthemy, Jian-Feng Yao

      Pages 145-157

   6. Are Iterations and Curvature Useful for Tensor Voting?

      • Sylvain Fischer, Pierre Bayerl, Heiko Neumann, Gabriel Cristóbal, Rafael Redondo

      Pages 158-169

   7. A Feature-Based Approach for Determining Dense Long Range Correspondences

      • Josh Wills, Serge Belongie

      Pages 170-182

   8. Combining Geometric- and View-Based Approaches for Articulated Pose Estimation

      • David Demirdjian

      Pages 183-194

   9. Shape Matching and Recognition – Using Generative Models and Informative Features

      • Zhuowen Tu, Alan L. Yuille

      Pages 195-209

   10. Generalized Histogram: Empirical Optimization of Low Dimensional Features for Image Matching

       • Shin’ichi Satoh

       Pages 210-223

   11. Recognizing Objects in Range Data Using Regional Point Descriptors

       • Andrea Frome, Daniel Huber, Ravi Kolluri, Thomas Bülow, Jitendra Malik

       Pages 224-237

   12. Shape Reconstruction from 3D and 2D Data Using PDE-Based Deformable Surfaces

       • Ye Duan, Liu Yang, Hong Qin, Dimitris Samaras

       Pages 238-251

Welcome to the proceedings of the 8th European Conference on Computer - sion! Following a very successful ECCV 2002, the response to our call for papers was almost equally strong – 555 papers were submitted. We accepted 41 papers for oral and 149 papers for poster presentation. Several innovations were introduced into the review process. First, the n- ber of program committee members was increased to reduce their review load. We managed to assign to program committee members no more than 12 papers. Second, we adopted a paper ranking system. Program committee members were asked to rank all the papers assigned to them, even those that were reviewed by additional reviewers. Third, we allowed authors to respond to the reviews consolidated in a discussion involving the area chair and the reviewers. Fourth, thereports,thereviews,andtheresponsesweremadeavailabletotheauthorsas well as to the program committee members. Our aim was to provide the authors with maximal feedback and to let the program committee members know how authors reacted to their reviews and how their reviews were or were not re?ected in the ?nal decision. Finally, we reduced the length of reviewed papers from 15 to 12 pages. ThepreparationofECCV2004wentsmoothlythankstothee?ortsofthe- ganizing committee, the area chairs, the program committee, and the reviewers. We are indebted to Anders Heyden, Mads Nielsen, and Henrik J. Nielsen for passing on ECCV traditions and to Dominique Asselineau from ENST/TSI who kindly provided his GestRFIA conference software. We thank Jan-Olof Eklundh and Andrew Zisserman for encouraging us to organize ECCV 2004 in Prague.

• 3D reconstruction
• Stereo
• Textur
• camera calibration
• classifier systems
• computer vision
• image processing
• learning
• motion tracking
• object recognition
• optimization
• therapy
• topology
• vision algorithms
• vision systems

• Center for Machine Perception, Department of Cybernetics, Faculty of Electrical Engineering, Czech Technical University, Prague 6, Czech Republic

  Tomáš Pajdla

• Center for Machine Perception, Dept. of Cybernetics, Faculty of Elec. Eng., Czech Technical University in Prague, Prague, Czech Rep

  Jiří Matas

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