With minimal prerequisites, the book starts from the basics of probability and model fitting and works up to real examples that the reader can implement and modify to build useful vision systems. Primarily meant for advanced undergraduate and graduate students, the detailed methodological presentation will also be useful for practitioners of computer vision.
Title Computer Vision: Models, Learning, and Inference
Author(s) Simon J. D. Prince
Publisher: Cambridge University Press; 1 edition (May 31, 2012)
Hardcover 632 pages
eBook PDF, 90 MB
Language: English
ISBN-10: 1107011795
ISBN-13:978-1107011793
eBook: http://www.computervisionmodels.com/
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