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Book synopsis

Bayesian probability theory has emerged not only as a powerful tool for building computational theories of vision, but also as a general paradigm for studying human visual perception. This 1996 book provides an introduction to and critical analysis of the Bayesian paradigm. Leading researchers in computer vision and experimental vision science describe general theoretical frameworks for modelling vision, detailed applications to specific problems and implications for experimental studies of human perception. The book provides a dialogue between different perspectives both within chapters, which draw on insights from experimental and computational work, and between chapters, through commentaries written by the contributors on each others' work. Students and researchers in cognitive and visual science will find much to interest them in this thought-provoking collection.

Book details

Book category Books in English Society & social sciences Psychology Cognition & cognitive psychology

• Full title: Perception as Bayesian Inference
• Author: David C. KnillWhitman Richards
• Language: English
• Binding: Paperback
• Number of pages: 532
• EAN: 9780521064996
• ISBN: 0521064996
• ID: 02020301
• Publisher: Cambridge University Press
• Weight: 906 g
• Dimensions: 253 × 177 × 26 mm
• Date of publishing: 12. June 2008

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