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S.J.D. Prince
ISBN: 9781107011793
Estimated Dispatch Date: 20 Dec 2021
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now R 2 090.00
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Description

This modern treatment of computer vision focuses on learning and inference in probabilistic models as a unifying theme. It shows how to use training data to learn the relationships between the observed image data and the aspects of the world that we wish to estimate, such as the 3D structure or the object class, and how to exploit these relationships to make new inferences about the world from new image data. 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. Covers cutting-edge techniques, including graph cuts, machine learning and multiple view geometry

Product Information

ISBN13 (SKU) 9781107011793
Title Computer Vision : Models, Learning, and Inference
Author S.J.D. Prince
Publisher Cambridge
Publication Date 2019
Country of Publication United Kingdom
Format Type Physical
Number of Pages 598
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