Non-Fiction Books:

Perception as Bayesian Inference

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Paperback / softback
$203.00
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Description

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.
Release date NZ
June 12th, 2008
Audience
  • Professional & Vocational
Contributors
  • Edited by David C. Knill
  • Edited by Whitman Richards
Illustrations
8 Halftones, unspecified; 132 Line drawings, unspecified
Pages
532
Dimensions
177x253x26
ISBN-13
9780521064996
Product ID
2581611

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