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A Bayesian framework for the integration of visual modules

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Bülthoff,  HH
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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引用

Bülthoff, H., & Yuille, A. (1996). A Bayesian framework for the integration of visual modules. In T., Inui, & J., McClelland (Eds.), Attention and performance 16: Information integration in perception and communication (pp. 49-70). Cambridge, MA, USA: MIT Press.


引用: https://hdl.handle.net/11858/00-001M-0000-0013-EBD8-B
要旨
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.