Vision Algorithms: Theory and Practice

International Workshop on Vision Algorithms Corfu, Greece, September 21–22, 1999 Proceedings

  • Bill Triggs
  • Andrew Zisserman
  • Richard Szeliski

Part of the Lecture Notes in Computer Science book series (LNCS, volume 1883)

Table of contents

  1. Front Matter
    Pages I-X
  2. Correspondence and Tracking

    1. Richard Szeliski, Ramin Zabih
      Pages 1-19
    2. Hai Tao, Harpreet S. Sawhney, Rakesh Kumar
      Pages 53-68
    3. Tom Drummond, Roberto Cipolla
      Pages 69-84
  3. Geometry and Reconstruction

    1. Michal Irani, P. Anandan, Meir Cohen
      Pages 85-99
    2. W. Bruce Culbertson, Thomas Malzbender, Greg Slabaugh
      Pages 100-115
    3. M. Urban, T. Pajdla, V. Hlaváč
      Pages 116-131
    4. Paulo R. S. Mendonça, Kwan-Yee K. Wong, Roberto Cipolla
      Pages 149-165
  4. Optimal Reconstruction

    1. Daniel D. Morris, Kenichi Kanatani, Takeo Kanade
      Pages 200-217
    2. Zhaohui Sun, Visvanathan Ramesh, A. Murat Tekalp
      Pages 218-235
    3. Bogdan Matei, Peter Meer
      Pages 236-252
  5. Invited Talks

    1. Keith J. Hanna, Harpreet S. Sawhney, Rakesh Kumar, Y. Guo, S. Samarasekara
      Pages 253-264
  6. Special Sessions

    1. M. Irani, P. Anandan
      Pages 267-277
    2. P. H. S. Torr, A. Zisserman
      Pages 278-294

About these proceedings

Introduction

This book constitutes the thoroughly refereed post-workshop proceedings of the International Workshop on Vision Algorithms held in Corfu, Greece in September 1999 in conjunction with ICCV'99.
The 15 revised full papers presented were carefully reviewed and selected from 65 submissions; each paper is complemented by a brief transcription of the discussion that followed its presentation. Also included are two invited contributions and two expert reviews as well as a panel discussion. The volume spans the whole range of algorithms for geometric vision. The authors and volume editors succeeded in providing added value beyond a mere collection of papers and made the volume a state-of-the-art survey of their field.

Keywords

3D Algorithmic Geometry Computer Vision Geometric Vision Image Analysis Image Processing Pattern Recognition Performance Stereo Variable Vision Algorithms Vision Geometry algorithms rendering

Editors and affiliations

  • Bill Triggs
    • 1
  • Andrew Zisserman
    • 2
  • Richard Szeliski
    • 3
  1. 1.INRIA Rhône-AlpesMontbonnotFrance
  2. 2.Department of Engineering ScienceOxford UniversityUK
  3. 3.Microsoft ResearchRedmondUSA

Bibliographic information

  • DOI https://doi.org/10.1007/3-540-44480-7
  • Copyright Information Springer-Verlag Berlin Heidelberg 2000
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-67973-8
  • Online ISBN 978-3-540-44480-0
  • Series Print ISSN 0302-9743
  • About this book
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