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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…
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Online publication date: 18 February 2019
Online publication date: 05 August 2015
Online publication date: 05 June 2012
Hardback publication date: 09 May 2005