Panoramic Vision

Sensors, Theory, and Applications

  • Ryad Benosman
  • Sing Bing Kang

Part of the Monographs in Computer Science book series (MCS)

Table of contents

  1. Front Matter
    Pages i-xxiv
  2. Introduction

    1. R. Benosman, S. B. Kang
      Pages 1-4
  3. A Brief Historical Perspective on Panorama

    1. R. Benosman, S. B. Kang
      Pages 5-20
  4. Catadioptric Panoramic Systems

    1. Front Matter
      Pages 21-22
    2. S. Baker, S. K. Nayar
      Pages 39-71
    3. T. Pajdla, T. Svoboda, V. Hlaváč
      Pages 73-102
    4. S. K. Nayar, V. Peri
      Pages 103-119
  5. Panoramic Stereo Vision Systems

    1. Front Matter
      Pages 121-122
    2. S. Peleg, M. Ben-Ezra, Y. Pritch
      Pages 143-160
    3. R. Benosman, J. Devars
      Pages 161-168
    4. R. Benosman, J. Devars
      Pages 169-180
    5. R. Benosman, J. Devars
      Pages 181-199
  6. Techniques for Generating Panoramic Images

    1. Front Matter
      Pages 201-203
    2. L. de Agapito, E. Hayman, I. D. Reid, R. I. Hartley
      Pages 269-289
    3. S. K. Nayar, A. D. Karmarkar
      Pages 291-307
    4. S. Peleg, B. Rousso, A. Rav-Acha, A. Zomet
      Pages 309-325
  7. Applications

    1. Front Matter
      Pages 327-328
    2. T. Sogo, H. Ishiguro, M. M. Trivedi
      Pages 359-375
    3. H. Ishiguro, K. Kato, M. Barth
      Pages 377-391
    4. P. Anandan, M. Irani
      Pages 393-424
  8. Back Matter
    Pages 425-449

About this book


Current cameras are poor imitations of the human eye and close descen­ dants in their design of ideas and a technology that are more than a century old. People in computer vision have traditionally used off-the-shelf cameras that were not meant for the uses they were intended for by these researchers: off-the-shelf cameras are designed to capture images to be printed on paper or looked at on a television screen, not for guiding robots or making 3D models of the environment or even surveilling a large area where very large field of views, high geometric and photometric accuracies are necessary. Quite a significant part of the efforts in computer vision has been targeted at overcoming algorithmically these problems. The authors of this book convince us that it is possible to abandon the traditional route of using standard cameras and to follow the path of designing new cameras explicitly for solving the tasks at hand in computer vision applications. This leads to different design concepts and allows to alleviate many of the difficulties encountered in the processing of the images taken with the "traditional" cameras.


Epipolar geometry Stereo Tracking Vision Sensor calibration compositing computer vision imaging imaging techniques machine vision modeling multimedia robot robotics video

Editors and affiliations

  • Ryad Benosman
    • 1
  • Sing Bing Kang
    • 2
  1. 1.Laboratoire des Instruments et SystemsUniversity Pierre et Marie CurieParis cedex 05France
  2. 2.Microsoft CorporationRedmondUSA

Bibliographic information

  • DOI
  • Copyright Information Springer Science+Business Media New York 2001
  • Publisher Name Springer, New York, NY
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4419-2880-1
  • Online ISBN 978-1-4757-3482-9
  • Series Print ISSN 0172-603X
  • Buy this book on publisher's site
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