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Perception as Bayesian Inference ; David C. Knill, Whitman Richards, ed. ; E. H. Adelson... [et al.], colab.

Secondary Author Knill, David
Richards, Whitman
Adelson, E. H.
Barlow, H.
Belhumeur, P. N.
Bennett, B. M.
Blake, A. Publication New York : Cambridge University Press, 1996 Description XI, 516 p., [1] f. ISBN 052146109X Abstract Índice:Part one: Bayesian frameworks; Part two: Implications and applications.
 he book describes an exciting new paradigm for building and testing theories of human visual perception based on Bayesian probablity theory. Leading researchers in computer vision and experimental vision science describe theoretical frameworks for modeling vision, applications to specific problems, and implications for experimental studies of human perception. All chapters draw on insights from experimental and computational work. Commentaries by the contributors on each others' work provide a dialogue among the different perspectives. Topical name Psicologia
Perceção sensorial CDU 159.9
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Item type Current location Call number Status Date due Barcode Item holds
Book Biblioteca IPAM Porto
159.9 PER 2064 Available 2064
Total holds: 0

Índice:Part one: Bayesian frameworks; Part two: Implications and applications.

he book describes an exciting new paradigm for building and testing theories of human visual perception based on Bayesian probablity theory. Leading researchers in computer vision and experimental vision science describe theoretical frameworks for modeling vision, applications to specific problems, and implications for experimental studies of human perception. All chapters draw on insights from experimental and computational work. Commentaries by the contributors on each others' work provide a dialogue among the different perspectives.

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