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Panoramic Vision: Sensors, Theory, - Hardcover, by Benosman Ryad; Kang - Good
US $33.09
Condition:
Good
A book that has been read but is in good condition. Very minimal damage to the cover including scuff marks, but no holes or tears. The dust jacket for hard covers may not be included. Binding has minimal wear. The majority of pages are undamaged with minimal creasing or tearing, minimal pencil underlining of text, no highlighting of text, no writing in margins. No missing pages. See the seller’s listing for full details and description of any imperfections.
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Item specifics
- Condition
- Book Title
- Panoramic Vision: Sensors, Theory, and Applications (Monographs i
- ISBN
- 9780387951119
- Subject Area
- Computers, Photography
- Publication Name
- Panoramic Vision : Sensors, Theory, and Applications
- Publisher
- Springer New York
- Item Length
- 9.3 in
- Subject
- Techniques / General, Intelligence (Ai) & Semantics, Computer Vision & Pattern Recognition
- Publication Year
- 2001
- Series
- Monographs in Computer Science Ser.
- Type
- Textbook
- Format
- Hardcover
- Language
- English
- Item Weight
- 32.6 Oz
- Item Width
- 6.1 in
- Number of Pages
- Xxiv, 449 Pages
About this product
Product Identifiers
Publisher
Springer New York
ISBN-10
0387951113
ISBN-13
9780387951119
eBay Product ID (ePID)
1854660
Product Key Features
Number of Pages
Xxiv, 449 Pages
Language
English
Publication Name
Panoramic Vision : Sensors, Theory, and Applications
Publication Year
2001
Subject
Techniques / General, Intelligence (Ai) & Semantics, Computer Vision & Pattern Recognition
Type
Textbook
Subject Area
Computers, Photography
Series
Monographs in Computer Science Ser.
Format
Hardcover
Dimensions
Item Weight
32.6 Oz
Item Length
9.3 in
Item Width
6.1 in
Additional Product Features
Intended Audience
Scholarly & Professional
LCCN
00-053770
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. 'e¦ This book is a good 'e~database'e(tm) of arguments on theoretical and practical aspects of panoramic vision. In fact, both algorithmic and implementation items are treated with great accuracy 'e¦ . 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. 'e¦ 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)
Dewey Edition
21
Number of Volumes
1 vol.
Illustrated
Yes
Dewey Decimal
778.3/6
Table Of Content
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.
Synopsis
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., 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., The contents allow the reader to understand the technical aspects of panoramic vision, such as sensor design and imaging techniques. There are important applications in robotics and computer vision.
LC Classification Number
Q337.5
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