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A Bayesian framework for the integration of visual modules

MPG-Autoren
http://pubman.mpdl.mpg.de/cone/persons/resource/persons83839

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

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Zitation

Bülthoff, H. (1996). A Bayesian framework for the integration of visual modules. In Attention and performance XVI: information integration in perception and communication (pp. 49-70). Cambridge, MA, USA: MIT Press.


Zitierlink: http://hdl.handle.net/11858/00-001M-0000-0013-EBD8-B
Zusammenfassung
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.