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Perception as Bayesian Inference

Perception as Bayesian Inference

by David C. Knill and Whitman Richards
Paperback
Publication Date: 12/06/2008

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$111.95
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.
ISBN:
9780521064996
9780521064996
Category:
Computer vision
Format:
Paperback
Publication Date:
12-06-2008
Language:
English
Publisher:
Cambridge University Press
Country of origin:
United Kingdom
Pages:
532
Dimensions (mm):
253x177x26mm
Weight:
0.91kg

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