Perception as Bayesian Inference by David C Knill

Perception as Bayesian Inference by David C Knill

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Zusammenfassung

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 by David C Knill

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.
SKU Nicht verfügbar
ISBN 13 9780521064996
ISBN 10 0521064996
Titel Perception as Bayesian Inference
Autor David C Knill
Buchzustand Nicht verfügbar
Bindungsart Paperback
Verlag Cambridge University Press
Erscheinungsjahr 2008-06-12
Seitenanzahl 532
Hinweis auf dem Einband Die Abbildung des Buches dient nur Illustrationszwecken, die tatsächliche Bindung, das Cover und die Auflage können sich davon unterscheiden.
Hinweis Nicht verfügbar