Table of contents

  1. Front Matter
  2. Jean-Daniel Boissonnat, André Cérézo, Juliette Leblond
    Pages 3-18
  3. Alain Liégeois, Christophe Moignard
    Pages 51-65
  4. Anthony Lazanas, Jean-Claude Latombe
    Pages 69-83
  5. Juan Manuel Ahuactzin, El-Ghazali Talbi, Pierre Bessière, Emmanuel Mazer
    Pages 84-93
  6. René Zapata, P. Lépinay
    Pages 94-105
  7. Bernard Espiau, François Chaumette, Patrick Rives
    Pages 106-136
  8. Roger Mohr, Luce Morin
    Pages 139-162
  9. Jean-Marc Chassery, Annick Montanvert
    Pages 163-182
  10. Bruno Zoppis, Gaëlle Calvary, James L. Crowley
    Pages 183-199
  11. Stéphane Lavallée, Richard Szeliski, Lionel Brunie
    Pages 217-238
  12. F. Leitner, P. Cinquin
    Pages 264-281
  13. Back Matter

About these proceedings


Geometry is a powerful tool to solve a great number of problems in robotics and computer vision. Impressive results have been obtained in these fields in the last decade. It is a new challenge to solve problems of the actual world which require the ability to reason about uncertainty and complex motion constraints by combining geometric, kinematic, and dynamic characteristics. A necessary step is to develop appropriate geometric reasoning techniques with reasonable computational complexity. This volume is based on a workshop held in Grenoble, France,in September 1991. It contains selected contributions on several important areas in the field of robotics and computer vision. The four chapters cover the following areas: - motion planning with kinematic and dynamic constraints, - motion planning and control in the presence of uncertainty, - geometric problems related to visual perception, -numerical problems linked to the implementation of practical algorithms for visual perception.


algorithms complexity computer vision motion planning robot robotics uncertainty

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 1993
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-57132-2
  • Online ISBN 978-3-540-47913-0
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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