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Abstract:
the Bayesian approach to vision provides a fruitful theoretical framework both for modeling individual cues, such as stereo, shading, texture, and occlusion, and for integrating their information / in this formalism [the authors] represent the viewed scene by one, or more, surfaces using prior assumptions about the surface shapes and material properties / on theoretical grounds, the less information available to the cues (and the less accurate it is), the more important these assumptions become / this suggests that visual illusions, and biased perceptions, will arise for scenes for which the prior assumptions are not appropriate / describe psychophysical experiments which are consistent with these ideas.
