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Panoramic Vision

Sensors, Theory, and Applications

  • Book
  • © 2001

Overview

Editors:
  1. Ryad Benosman

    1. Laboratoire des Instruments et Systems, University Pierre et Marie Curie, Paris cedex 05, France

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    You can also search for this editor in PubMed   Google Scholar

  2. Sing Bing Kang

    1. Microsoft Corporation, Redmond, USA

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

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

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Table of contents (20 chapters)

  1. Front Matter

    Pages i-xxiv
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  2. Introduction

    1. Introduction

      • R. Benosman, S. B. Kang
      Pages 1-4

  3. A Brief Historical Perspective on Panorama

    1. A Brief Historical Perspective on Panorama

      • R. Benosman, S. B. Kang
      Pages 5-20

  4. Catadioptric Panoramic Systems

    1. Front Matter

      Pages 21-22
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    2. Development of Low-Cost Compact Omnidirectional Vision Sensors

      • H. Ishiguro
      Pages 23-38

    3. Single Viewpoint Catadioptric Cameras

      • S. Baker, S. K. Nayar
      Pages 39-71

    4. Epipolar Geometry of Central Panoramic Catadioptric Cameras

      • T. Pajdla, T. Svoboda, V. Hlaváč
      Pages 73-102

    5. Folded Catadioptric Cameras

      • S. K. Nayar, V. Peri
      Pages 103-119

  5. Panoramic Stereo Vision Systems

    1. Front Matter

      Pages 121-122
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    2. A Real-time Panoramic Stereo Imaging System and Its Applications

      • A. Basu, J. Baldwin
      Pages 123-141

    3. Panoramic Imaging with Horizontal Stereo

      • S. Peleg, M. Ben-Ezra, Y. Pritch
      Pages 143-160

    4. Panoramic Stereovision Sensor

      • R. Benosman, J. Devars
      Pages 161-168

    5. Calibration of the Stereovision Panoramic Sensor

      • R. Benosman, J. Devars
      Pages 169-180

    6. Matching Linear Stereoscopic Images

      • R. Benosman, J. Devars
      Pages 181-199

  6. Techniques for Generating Panoramic Images

    1. Front Matter

      Pages 201-203
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    2. Characterization of Errors in Compositing Cylindrical Panoramic Images

      • S. B. Kang, R. Weiss
      Pages 205-226

    3. Construction of Panoramic Image Mosaics with Global and Local Alignment

      • H.-Y. Shum, R. Szeliski
      Pages 227-268

    4. Self-Calibration of Zooming Cameras from a Single Viewpoint

      • L. de Agapito, E. Hayman, I. D. Reid, R. I. Hartley
      Pages 269-289

    5. 360 x 360 Mosaics: Regular and Stereoscopic

      • S. K. Nayar, A. D. Karmarkar
      Pages 291-307

    6. Mosaicing with Strips on Adaptive Manifolds

      • S. Peleg, B. Rousso, A. Rav-Acha, A. Zomet
      Pages 309-325
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Keywords

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.

Reviews

From the reviews:

"I first congratulate the authors for the efforts they have done to explain with great detail and easy language such a complex argument as panoramic vision. … This book is a good ‘database’ of arguments on theoretical and practical aspects of panoramic vision. In fact, both algorithmic and implementation items are treated with great accuracy … . The book has been written by many authors yet the chapters present homogeneity and good coordination in exposing different arguments." (Nello Balossino, The Computer Journal, Vol. 45 (6), 2002)

"This book presents the rebirth of panoramic vision as it is applied to computer vision. It focuses on the creation and analysis of images with fields of view that are much greater than those obtained from typical cameras. … Overall, this is an informative and coherent reference text that provides details of current research in this field. It is suitable for researchers and professionals involved with computer vision, virtual reality, teleconferencing, imaging systems, and robotics." (The Industrial Robot, Vol. 29 (2), 2002)

Editors and Affiliations

  • Laboratoire des Instruments et Systems, University Pierre et Marie Curie, Paris cedex 05, France

    Ryad Benosman

  • Microsoft Corporation, Redmond, USA

    Sing Bing Kang

Bibliographic Information

  • Book Title: Panoramic Vision

  • Book Subtitle: Sensors, Theory, and Applications

  • Editors: Ryad Benosman, Sing Bing Kang

  • Series Title: Monographs in Computer Science

  • DOI: https://doi.org/10.1007/978-1-4757-3482-9

  • Publisher: Springer New York, NY

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer Science+Business Media New York 2001

  • Hardcover ISBN: 978-0-387-95111-9Published: 25 May 2001

  • Softcover ISBN: 978-1-4419-2880-1Published: 12 December 2011

  • eBook ISBN: 978-1-4757-3482-9Published: 29 June 2013

  • Series ISSN: 0172-603X

  • Series E-ISSN: 2512-5486

  • Edition Number: 1

  • Number of Pages: XXIV, 449

  • Topics: Pattern Recognition, Image Processing and Computer Vision, Artificial Intelligence

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