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Table of contents (20 chapters)
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Introduction
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A Brief Historical Perspective on Panorama
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Catadioptric Panoramic Systems
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Techniques for Generating Panoramic Images
Keywords
About this book
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
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
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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