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  A Bayesian framework for the integration of visual modules

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.

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https://psycnet.apa.org/record/1996-98459-002 (Publisher version)
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 Creators:
Bülthoff, HH1, 2, Author              
Yuille, AL, Author              
Affiliations:
1Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794              

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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.

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 Dates: 1996-01
 Publication Status: Published in print
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 Rev. Type: -
 Identifiers: BibTex Citekey: 603
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Title: Sixteenth International Symposium on Attention and Performance
Place of Event: Kyoto, Japan
Start-/End Date: 1994-07-11 - 1994-07-15

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Title: Attention and performance 16: Information integration in perception and communication
Source Genre: Proceedings
 Creator(s):
Inui, T, Editor
McClelland, JL, Editor
Affiliations:
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Publ. Info: Cambridge, MA, USA : MIT Press
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 49 - 70 Identifier: ISBN: 0-262-09033-3

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Title: Attention and performance
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Pages: - Volume / Issue: 16 Sequence Number: - Start / End Page: - Identifier: -