Overview
- Treats automatic calibration and 3D reconstruction for structures light systems and catadioptric cameras
- Completely new approach to automatic calibration
- Presents an extensive study on the homography matrix and the fundamental matrix
- Includes supplementary material: sn.pub/extras
Part of the book series: Intelligent Systems, Control and Automation: Science and Engineering (ISCA, volume 57)
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Table of contents(7 chapters)
About this book
Reviews
From the reviews:
“This is a small book … providing a good literature review and discussing the work of the authors on some problems in active vision systems and catadioptric systems. … the literature survey provided by the book on different problems is a valuable one, and also the example methods for different problems related to reconstruction using active and catadioptric vision systems give a good outlook into the field. It can be worth collecting for practitioners as well as for students studying active or catadioptric vision systems.” (M. Zeeshan Zia, IAPR Newsletter, Vol. 34 (3), July-August, 2012)Authors and Affiliations
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Nanjing University of Finance and Econom, Nanjing, China, People's Republic
Beiwei Zhang
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Dept. Manufacturing Engineering &, Engineering Management, City University of Hong Kong, Hong Kong, Hong Kong SAR
Y. F. Li
Bibliographic Information
Book Title: Automatic Calibration and Reconstruction for Active Vision Systems
Authors: Beiwei Zhang, Y. F. Li
Series Title: Intelligent Systems, Control and Automation: Science and Engineering
DOI: https://doi.org/10.1007/978-94-007-2654-3
Publisher: Springer Dordrecht
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Science+Business Media B.V. 2012
Hardcover ISBN: 978-94-007-2653-6Published: 03 January 2012
Softcover ISBN: 978-94-017-8100-8Published: 24 February 2014
eBook ISBN: 978-94-007-2654-3Published: 02 January 2012
Series ISSN: 2213-8986
Series E-ISSN: 2213-8994
Edition Number: 1
Number of Pages: X, 166
Topics: Robotics and Automation, Image Processing and Computer Vision, Computational Science and Engineering