Table of contents

  1. Front Matter
  2. Joachim Weickert
    Pages 1-28
  3. V. Caselles, B. Coll, J. M. Morel
    Pages 29-49
  4. Jon Sporring, Joachim Weickert
    Pages 51-64
  5. Mads Nielsen, Wiro Niessen, Robert Maas, Luc Florack, Bart ter Haar Romeny
    Pages 65-76
  6. Stiliyan N. Kalitzin, Bart M. ter Haar Romeny, Max A. Viergever
    Pages 77-88
  7. Tony Lindeberg
    Pages 113-127
  8. Lars Bretzner, Tony Lindeberg
    Pages 128-139
  9. Márta Fidrich
    Pages 140-151
  10. C. Lorenz, I. -C. Carlsen, T. M. Buzug, C. Fassnacht, J. Weese
    Pages 152-163
  11. Freek J. Beekman, Ed T. P. Slijpen, Wiro J. Niessen
    Pages 164-175
  12. Jacob D. Furst, Robert S. Keller, Jason E. Miller, Stephen M. Pizer
    Pages 176-187
  13. Olivier Coulon, Isabelle Bloch, Vincent Frouin, Jean-François Mangin
    Pages 188-199
  14. Ilya Pollak, Alan S. Willsky, Hamid Krim
    Pages 200-211
  15. Simon R. Arridge, Andrew Simmons
    Pages 224-235
  16. Ron Kimmel, Nir Sochen, Ravi Malladi
    Pages 236-247
  17. Alfons H. Salden, Bart M. ter Haar Romeny, Max A. Viergever
    Pages 248-259

About these proceedings

Introduction

This book constitutes the refereed proceedings of the First International Conference on Scale-Space Theory for Computer Vision, Scale-Space '97, held in Utrecht, The Netherlands, in July 1997.
The volume presents 21 revised full papers selected from a total of 41 submissions. Also included are 2 invited papers and 13 poster presentations. This book is the first comprehensive documentation of the application of Scale-Space techniques in computer vision and, in the broader context, in image processing and pattern recognition.

Keywords

Computer Vision Filtrierung Objektrekonstruktion Scale-Space Theorie filtering image processing object recognition object reconstruction scale-space theory segmentation

Bibliographic information

  • Copyright Information Springer-Verlag 1997
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-63167-5
  • Online ISBN 978-3-540-69196-9
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349