Cooperative Computation of Stereo Disparity
MASSACHUSETTS INST OF TECH CAMBRIDGE ARTIFICIAL INTELLIGENCE LAB
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The extraction of stereo disparity information from two images depends upon establishing a correspondence between them. This article analyzes the nature of the correspondence computation, and derives a cooperative algorithm that implements it. It is show that this algorithm successfully extracts information from random-dot stereograms, and its implications for the psychophysics and neurophysiology of the visual system are briefly discussed.