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Information Theory in Computer Vision and Pattern Recognition
Francisco Escolano, Pablo Suau, Boyan Bonev
2009, Approx. 410 p. 126 illus., Hardcover
Springer; ISBN: 978-1-84882-296-2
With foreword by Alan Yuille.
Information theory has found widespread use in modern computer vision, and provides one of the most powerful current paradigms in the field. To date, though, there has been no text that focusses on the needs of the vision or pattern recognition practitioner who wishes to find a concise reference to the subject. This text elegantly fills this gap in the literature. The approach is rigorous, yet lucid and furnished with copious real world examples.
Professor Edwin Hancock, D.Sc., FIAPR, FInstP, FIET, FBCS,
Royal Society Wolfson Research Merit Award Holder,
Head CVPR Group and Chair Department Research Committee,
Department of Computer Science, University of York
Far from being a shotgun wedding or arranged marriage between information theory and image analysis, this book succeeds at explicating just why these two areas are made for each other.
Associate Professor Anand Rangarajan,
Department of Computer & Information Science and Engineering,
University of Florida, Gainesville
(© 2009, Springer)
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