Perception as Bayesian inference [E-Book] / edited by David C. Knill, Whitman Richards.
Knill, David C., (editor)
Richards, Whitman, (editor)
Cambridge : Cambridge University Press, 1996
1 online resource (xi, 516 pages)
englisch
9780521064996
9780511984037
9780521461092
Full Text
Table of Contents:
  • Introduction / D.C. Knill, D. Kersten and A. Yuille
  • 1. Pattern theory: A unifying perspective / D. Mumford
  • 2. Modal structure and reliable inference / A. Jepson, W. Richards and D.C. Knill
  • 3. Priors, preferences and categorical percepts / W. Richards, A. Jepson and J. Feldman
  • 4. Bayesian decision theory and psychophysics / A.L. Yuille and H.H. Bulthoff
  • 5. Observer theory, Bayes theory, and psychophysics / B.M. Bennett, D.D. Hoffman, C. Prakash and S.N. Richman
  • 6. Implications of a Bayesian formulation of visual information for processing for psychophysics / D.C. Knill, D. Kersten and P. Mamassian
  • 7. Shape from texture: Ideal observers and human psychophysics / A. Blake, H.H. Bulthoff and D. Sheinberg
  • 8. A computational theory for binocular stereopsis / P.N. Belhumeur
  • 9. The generic viewpoint assumption in a Bayesian framework / W.T. Freeman
  • 10. Experiencing and perceiving visual surfaces / K. Nakayama and S. Shimojo.