Table of contents

  1. Front Matter
  2. Joseph L. Mundy, Andrew Zisserman, David Forsyth
    Pages 1-8
  3. Andrew Zisserman, Stephen J. Maybank
    Pages 69-88
  4. Luc Van Gool, Theo Moons, Marc Van Diest, Eric Pauwels
    Pages 165-184
  5. Alessandro Verri, Claudio Uras
    Pages 215-234
  6. Richard I. Hartley
    Pages 235-256
  7. Roger Mohr, Boubakeur Boufama, Pascal Brand
    Pages 257-276
  8. Théo Papadopoulo, Olivier Faugeras
    Pages 277-296
  9. Theo Moons, Luc Van Gool, Marc Van Diest, Eric Pauwels
    Pages 297-316
  10. David Forsyth, Charlie Rothwell
    Pages 341-357
  11. Jianchang Mao, Anil K. Jain, Patrick J. Flynn
    Pages 379-395
  12. Charles A. Rothwell
    Pages 397-414
  13. David W. Jacobs
    Pages 415-434
  14. Stephen J. Maybank
    Pages 451-472
  15. Peter Meer, Sudhir Ramakrishna, Reiner Lenz
    Pages 473-492
  16. Back Matter

About these proceedings


This book is the proceedings of the Second Joint European-US Workshop on Applications of Invariance to Computer Vision, held at Ponta Delgada, Azores, Portugal in October 1993.
The book contains 25 carefully refereed papers by distinguished researchers. The papers cover all relevant foundational aspects of geometric and algebraic invariance as well as applications to computer vision, particularly to recovery and reconstruction, object recognition, scene analysis, robotic navigation, and statistical analysis. In total, the collection of papers, together with an introductory survey by the editors, impressively documents that geometry, in its different variants, is the most successful and ubiquitous tool in computer vision.


Euclidean Reconstruction Geometrie Invariance Patter Recognition Statistical Image Analysis computer vision construction geometrische Invarianz navigation object robot statistische Bildanalyse

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 1994
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-58240-3
  • Online ISBN 978-3-540-48583-4
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site