Perception as Bayesian Inference

David C. Knill, Whitman Richards (Herausgeber)

Buch | Hardcover

530 Seiten

1996
Cambridge University Press (Verlag)
978-0-521-46109-2 (ISBN)

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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.

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.

1. Introduction D. C. Knill, D. Kersten and A. Yuille; 2. Pattern theory: a unifying perspective D. Mumford; 3. Modal structure and reliable inference A. Jepson, W. Richards and D. C. Knill; 4. Priors, preferences and categorical percepts W. Richards, A. Jepson and J. Feldman; 5. Bayesian decision theory and psychophysics A. L. Yuille and H. H. Bulthoff; 6. Observer theory, Bayes theory, and psychophysics B. M. Bennett, D. D. Hoffman, C. Prakash and S. N. Richman; 7. Implications of a Bayesian formulation D. C. Knill, D. Kersten and P. Mamassian; 8. Shape from texture: ideal observers and human psychophysics A. Blake, H. H. Bulthoff and D. Sheinberg; 9. A computational theory for binocular stereopsis P. N. Belhumeur; 10. The generic viewpoint assumption in a Bayesian framework W. T. Freeman; 11. Experiencing and perceiving visual surfaces K. Nakayama and S. Shimojo; 12. The perception of shading and reflectance E. H. Adelson and A. P. Pentland; 13. Banishing the Homunculus H. Barlow.

Erscheint lt. Verlag	13.9.1996
Zusatzinfo	8 Halftones, unspecified; 132 Line drawings, unspecified
Verlagsort	Cambridge
Sprache	englisch
Maße	178 x 254 mm
Gewicht	1130 g
Themenwelt	Geisteswissenschaften ► Psychologie ► Biopsychologie / Neurowissenschaften
	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
	Naturwissenschaften ► Biologie ► Humanbiologie
	Naturwissenschaften ► Biologie ► Zoologie
ISBN-10	0-521-46109-X / 052146109X
ISBN-13	978-0-521-46109-2 / 9780521461092
Zustand	Neuware