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Dynamical Vision

ICCV 2005 and ECCV 2006 Workshops, WDV 2005 and WDV 2006, Beijing, China, October 21, 2005, Graz, Austria, May 13, 2006. Revised Papers

  • Editors
  • René Vidal
  • Anders Heyden
  • Yi Ma
Conference proceedings WDV 2006, WDV 2005

Part of the Lecture Notes in Computer Science book series (LNCS, volume 4358)

Table of contents

  1. Front Matter
  2. Motion Segmentation and Estimation

    1. Doron Feldman, Daphna Weinshall
      Pages 34-47
    2. Levente Hajder, Dmitry Chetverikov
      Pages 48-59
  3. Human Motion Analysis, Tracking and Recognition

    1. Jingyu Yan, Marc Pollefeys
      Pages 75-85
    2. David Knossow, Joost van de Weijer, Radu Horaud, Rémi Ronfard
      Pages 86-99
    3. Abhijit S. Ogale, Alap Karapurkar, Yiannis Aloimonos
      Pages 115-126
  4. Dynamic Textures

    1. Lee Cooper, Jun Liu, Kun Huang
      Pages 142-150
    2. Alex Rav-Acha, Yael Pritch, Shmuel Peleg
      Pages 151-164
    3. Guoying Zhao, Matti Pietikäinen
      Pages 165-177
  5. Motion Tracking

    1. Grant Schindler, Frank Dellaert
      Pages 178-189
    2. Thierry Chateau, Vincent Gay-Belille, Frederic Chausse, Jean-Thierry Lapresté
      Pages 218-231
  6. Rigid and Non-rigid Motion Analysis

    1. Justin Domke, Yiannis Aloimonos
      Pages 232-242
    2. Adrien Bartoli, Søren I. Olsen
      Pages 257-269
  7. Motion Filtering and Vision-Based Control

    1. Fredrik Nyberg, Ola Dahl, Jan Holst, Anders Heyden
      Pages 270-284
    2. Tomas Olsson, Rolf Johansson, Anders Robertsson
      Pages 299-313
  8. Back Matter

About these proceedings

Introduction

Classical multiple-view geometry studies the reconstruction of a static scene - served by a rigidly moving camera. However, in many real-world applications the scene may undergo much more complex dynamical changes. For instance, the scene may consist of multiple moving objects (e.g., a tra?c scene) or arti- lated motions (e.g., a walking human) or even non-rigid dynamics (e.g., smoke, ?re, or a waterfall). In addition, some applications may require interaction with the scene through a dynamical system (e.g., vision-guided robot navigation and coordination). To study the problem of reconstructing dynamical scenes, many new al- braic, geometric, statistical, and computational tools have recently emerged in computer vision, computer graphics, image processing, and vision-based c- trol. The goal of the International Workshop on Dynamical Vision (WDV) is to converge di?erent aspects of the research on dynamical vision and to identify common mathematical problems, models, and methods for future research in this emerging and active area.

Keywords

3D Augmented Reality HCI Textur articulated motions cognition dynamical models dynamical scene analysis human motion hybrid motion models learning mapping modeling motion tracking non-rigid dynamics

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-70932-9
  • Copyright Information Springer-Verlag Berlin Heidelberg 2007
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-70931-2
  • Online ISBN 978-3-540-70932-9
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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