In D. C. Knill & W. Richards (Eds.), Perception as Bayesian inference. Cambridge: Cambridge University Press. Nakayama, K., & Shimojo, S. (1992). Experiencing and perceiving visual surfaces. Science, 257, 1357-1363. Home/Search Document Not in Database Summary Related Articles Check |
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A Bayesian Framework for the Integration of Visual Modules - Bülthoff, Yuille (1996) (Correct)
....smoothness typically used in computer vision then we would find a bias towards frontoparallel 2 Footnote 2, see end of text surfaces. Such a bias is found for example in the psychophysical shape from shading experiments by Bulthoff and Mallot (1988) Mamassian and Kersten (1994) and Koenderink, van Doorn and Kappers (1992) . Of course, not all smoothness priors cause such a bias, see for example (Pollard et al. 1985) nevertheless the bias appears to be there experimentally. The more impoverished the stimuli then the greater the bias, so we might expect this effect to be larger for psychophysical experiments than ....
In Cold Spring Harbour Symposia on Quantitative Biology. Cold Spring Harbour. Nakayama, K. and Shimojo, S. (1992). Experiencing and perceiving visual surfaces. Science, 257:1357--1363.
Junctions And Cost Functions In Motion Interpretation - McDermott, Adelson (2004) Self-citation (Cambridge) (Correct)
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In D. C. Knill & W. Richards (Eds.), Perception as Bayesian inference. Cambridge: Cambridge University Press. Nakayama, K., & Shimojo, S. (1992). Experiencing and perceiving visual surfaces. Science, 257, 1357-1363.
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