This 1996 book describes an exciting paradigm for building and testing theories of human visual perception based on Bayesian probability theory. Leading researchers in computer vision and experimental vision science describe theoretical frameworks, applications to specific problems, and implications for experimental studies.

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Perception as Bayesian Inference

Knill, David C. (EDT); Richards, Whitman (EDT)

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