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Synopsis
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.
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About the Author
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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Computer Vision: Models, Learning, and Inference
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Cambridge University Press, 2012
ISBN 10: 1107011795
ISBN 13: 9781107011793
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Computer Vision
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Cambridge Univ Pr (edition 1), 2012
ISBN 10: 1107011795
ISBN 13: 9781107011793
Used
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Computer Vision: Models, Learning, and Inference
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Computer Vision: Models, Learning, and Inference
Published by
Cambridge University Press, 2012
ISBN 10: 1107011795
ISBN 13: 9781107011793
Used
Hardcover
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Computer Vision
Published by
Cambridge Univ Pr, 2012
ISBN 10: 1107011795
ISBN 13: 9781107011793
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Computer Vision: Models, Learning, and Inference
Published by
Cambridge University Press, 2012
ISBN 10: 1107011795
ISBN 13: 9781107011793
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Hardcover
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Computer Vision : Models, Learning, and Inference
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Computer Vision: Models, Learning, and Inference
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Computer Vision: Models, Learning, and Inference
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