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Computer Vision: Models, Learning, and Inference
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  • Title: Computer Vision: Models, Learning, and Inference
  • Author(s) Simon J. D. Prince
  • Publisher: Cambridge University Press; 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: PDF (667 pages, 116 MB)
  • Language: English
  • ISBN-10: 1107011795
  • ISBN-13:978-1107011793
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Book Description

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.

About the Authors
  • Dr. Simon J. D. Prince is a faculty member in the Department of Computer Science at University College London. He has taught courses on machine vision, image processing, and advanced mathematical methods. He has a diverse background in biological and computing sciences and has published papers across the fields of computer vision, biometrics, psychology, physiology, medical imaging, computer graphics, and HCI.
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