Perception as Bayesian Inference

ISBN: 9780521064996 出版年：1996 页码：530 David C Knill Whitman Richards Cambridge University Press

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.