Perception as Bayesian Inference - Rilegato

Rilegato

ISBN 10: 052146109X ISBN 13: 9780521461092

Casa editrice: Cambridge University Press, 1996

Riassunto

This 1996 book describes an exciting theoretical paradigm for visual perception based on experimental and computational insights.

Su questo libro

Descrizione del libro

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.

Contenuti

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.

Dettagli dell?edizione

• Editore: Cambridge University Press
• Data di pubblicazione: 1996
• ISBN 10: 052146109X
• ISBN 13: 9780521461092
• Rilegatura: Copertina rigida
• Lingua: Inglese
• Numero di pagine: 530
• Redattore: Knill David C., Richards Whitman
• Contatto del produttore: non disponibile