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Materials
Suggested Texts
[1]
Introductory Techniques for 3-D Computer Vision, by
Emanuele Trucco and Alessandro Verri. This book should be available in the Stanford Bookstore.
Characteristic: (+) Good overview, broader set of topics
(-) sometime lacks details, few chapters bit out of date
[2]
An Invitation to 3-D Vision by Y. Ma, S. Soatto, J. Kosecka, S.S. Sastry. This book could be available in the Stanford Bookstore or through Amazon.com
Characteristic: (+) Suggested reference for detailed treatment of 3D geometry, motion estimation and
3D structure recovery, self-contained (-) smaller breadth
[3]
R. Szeliski: Computer Vision: Algorithms and Applications. Preprint of a book which is currently in preparation.
Characteristic: (+) Self contained, with focus on the algorithms that work well in practice (-)
certain topics are not covered or not completed
[4]
Computer
Vision: A Modern Approach, by David A. Forsyth and Jean
Ponce. This book should be available in the Stanford Bookstore.
Characteristic: (+) Broad set of topics , modern up to date (-) at places not self contained, lacking
details
Handouts:
Handouts will be posted regularly on the schedule page.
Software
The OpenCV
Library, a free, open source computer vision library from
Intel. Available for Windows and Linux. Downloads and docs
Matlab and its image processing toolbox.
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