Computer Vision: Models, Learning, and Inference (Simon J. D. Prince)

 
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Computer Vision: Models, Learning, and Inference (Simon J. D. Prince)

The book takes the reader through the fundamentals of probability and model fitting before moving on to practical examples that the reader may use and adapt to create effective vision systems.

The thorough methodological presentation, which is primarily intended for advanced undergraduate and graduate students, will also be helpful to computer vision professionals.

Ebook Details

About the Authors
Professor Simon J. D. Prince works at University College London's Department of Computer Science. He has given lectures on advanced mathematical techniques, image processing, and machine vision. He has produced work in the areas of computer vision, biometrics, psychology, physiology, medical imaging, computer graphics, and HCI. He has a broad foundation in biological and computing sciences.
Published
Published Date / Year
1 edition (2012); eBook (Draft, 2012)
Permission
You may take one copy of the book draft for personal use but not for distribution.
Hardcover
632 pages
eBook Format
PDF (667 pages, 116 MB)
ISBN-10
1107011795
ISBN-13
978-1107011793

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