Panoramic Vision: Sensors, Theory, and Applications

Author:   Ryad Benosman ,  O. Faugeras ,  Sing B. Kang
Publisher:   Springer-Verlag New York Inc.
Edition:   2001 ed.
ISBN:  

9780387951119


Pages:   449
Publication Date:   25 May 2001
Format:   Hardback
Availability:   In Print   Availability explained
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Panoramic Vision: Sensors, Theory, and Applications


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Overview

This book features representative work in the design of panoramic image capturing systems, the theory involved in the imaging process, and applications that use panoramic images. The intended audience is anyone who wishes to become familiar with panoramic vision and its latest research work. The contents of this book allow the reader to understand the more technical aspects of panoramic vision, such as sensor design and imaging techniques. Researchers, instructors, and students will especially find this book useful.

Full Product Details

Author:   Ryad Benosman ,  O. Faugeras ,  Sing B. Kang
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   2001 ed.
Dimensions:   Width: 15.50cm , Height: 2.60cm , Length: 23.50cm
Weight:   0.924kg
ISBN:  

9780387951119


ISBN 10:   0387951113
Pages:   449
Publication Date:   25 May 2001
Audience:   College/higher education ,  General/trade ,  Professional and scholarly ,  Undergraduate ,  General
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

1 Introduction.- 2 A Brief Historical Perspective on Panorama.- Section I: Catadioptric Panoramic Systems.- 3 Development of Low-Cost Compact Omnidirectional Vision Sensors.- 4 Single Viewpoint Catadioptric Cameras.- 5 Epipolar Geometry of Central Panoramic Catadioptric Cameras.- 6 Folded Catadioptric Cameras.- Section II: Panoramic Stereo Vision Systems.- 7 A Real-time Panoramic Stereo Imaging System and Its Applications.- 8 Panoramic Imaging with Horizontal Stereo.- 9 Panoramic Stereovision Sensor.- 10 Calibration of the Stereovision Panoramic Sensor.- 11 Matching Linear Stereoscopic Images.- Section III: Techniques for Generating Panoramic Images.- 12 Characterization of Errors in Compositing Cylindrical Panoramic Images.- 13 Construction of Panoramic Image Mosaics with Global and Local Alignment.- 14 Self-Calibration of Zooming Cameras from a Single Viewpoint.- 15 360 × 360 Mosaics: Regular and Stereoscopic.- 16 Mosaicing with Strips on Adaptive Manifolds.- Section IV: Applications.- 17 3D Environment Modeling from Multiple Cylindrical Panoramic Images.- 18 N-Ocular Stereo for Real-Time Human Tracking.- 19 Identifying and Localizing Robots with Omnidirectional Vision Sensors.- 20 Video Representation and Manipulations Using Mosaics.

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)


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)


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)


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