TY - JOUR

T1 - Stereo integration, mean Field theory and psychophysics

AU - Yuille, Alan L.

AU - Geiger, Davi

AU - Bülthoff, Heinrich H.

N1 - Funding Information:
ALY would like to acknowledge support from the Brown/Halvard/MIT Center for Intelligent Control Systems with US Army Research Office grant DAAU)3-86-K-0171 and from DARPA with contract AFOSR-89-0506. HHB work at MlT was supported by the Office of Naval Research, Cognitive and Behavioural Sciences Division. Some of these ideas were initially developed with Mike Gennert We would like to thank Jini Clark, Manfred Fahle, Norbert0 Grzywacz, Stephan Mallat, David Mumford and lbmmy Poggio for many helpful discussions.

PY - 1991

Y1 - 1991

N2 - We describe a theoretical formulation for stereo in terms of the Bayesian approach to vision and relates 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 matching. We use techniques from statistical physics to show how our theory relates to 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 matching primitives.

AB - We describe a theoretical formulation for stereo in terms of the Bayesian approach to vision and relates 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 matching. We use techniques from statistical physics to show how our theory relates to 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 matching primitives.

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U2 - 10.1088/0954-898X_2_4_006

DO - 10.1088/0954-898X_2_4_006

M3 - Article

AN - SCOPUS:0010533260

VL - 2

SP - 423

EP - 442

JO - Network: Computation in Neural Systems

JF - Network: Computation in Neural Systems

SN - 0954-898X

IS - 4

ER -