Abstract
This paper presents a region-based stereo matching algo-
rithm which uses a new method to select the nal disparity: a random
process computes for each pixel di erent approximations of its disparity relying on a surface model with di erent image segmentations and
each found disparity gets a vote. At last, the nal disparity is selected
by estimating the mode of a density function built from these votes. We
also advise how to choose the di erent parameters. Finally, an evaluation
shows that the proposed method is e cient even at sub-pixel accuracy
and is competitive with the state of the art.
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