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Stereo Integration, Mean Field Theory and Psychophysics

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http://pubman.mpdl.mpg.de/cone/persons/resource/persons85014

Yuille,  A
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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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Citation

Yuille, A., Geiger, D., & Bülthoff, H.(1989). Stereo Integration, Mean Field Theory and Psychophysics (89-11).


Cite as: http://hdl.handle.net/11858/00-001M-0000-0013-EF11-9
Abstract
We describe a theoretical formulation for stereo in terms of the Bayesian approach to vision and relate it to psychophysical experiments. The formulation enables us to integrate the depth information from different types of matching primitives, or from different vision modules. We solve the correspondence problem using compatibility constraints between features and prior assumptions on the interpolated surfaces that result from the marching. We use techniques from statistical physics to show how our theory relates lo previous work. Finally we show that, by a suitable choice of prior assumptions about surfaces, the theory is consistent with some psychophysical experiments which investigate the relative importance of different marching primitives.