A cooperative algorithm for stereo matching and occlusion detection
Zitnick, C.L.; Kanade, T.
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Volume 22, Issue 7, Jul 2000 Page(s):675 - 684
Digital Object Identifier 10.1109/34.865184
Summary:Presents a stereo algorithm for obtaining disparity maps with
occlusion explicitly detected. To produce smooth and detailed disparity
maps, two assumptions that were originally proposed by Marr and Poggio
(1976, 1979) are adopted: uniqueness and continuity. That is, the
disparity maps have a unique value per pixel and are continuous almost
everywhere. These assumptions are enforced within a three-dimensional
array of match values in disparity space. Each match value corresponds
to a pixel in an image and a disparity relative to another image. An
iterative algorithm updates the match values by diffusing support among
neighboring values and inhibiting others along similar lines of sight.
By applying the uniqueness assumption, occluded regions can be
explicitly identified. To demonstrate the effectiveness of the
algorithm, we present the processing results from synthetic and real
image pairs, including ones with ground-truth values for quantitative
comparison with other methods
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