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Konferenzbeitrag

Stereo Integration, Mean Field Theory and Psychophysics

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

Yuille, A., Geiger, D., & Bülthoff, H. (1990). Stereo Integration, Mean Field Theory and Psychophysics. Proceedings of the First European Conference on Computer Vision, Antibes, France, 165-172.


Zitierlink: http://hdl.handle.net/11858/00-001M-0000-0013-EEA1-B
Zusammenfassung
We describe a theoretical formulation for stereo in terms of the Markov Random Field and Bayesian approach to vision. This formulation enables us to integrate the depth information from different types of matching primitives, or from different vision modules. We treat the correspondence problem and surface interpolation as different aspects of the same problem and solve them simultaneously, unlike most previous theories. We use techniques from statistical physics to compute properties of our theory and show how it relates to previous work. These techniques also suggest novel algorithms for stereo which are argued to be preferable to standard algorithms on theoretical and experimental grounds. It can be shown (Yuille, Geiger and Bülthoff 1989) that the theory is consistent with some psychophysical experiments which investigate the relative importance of different matching primitives.