Cooperative Segmentation and Stereo Matching
Laurent Vinet, Peter T. Sander, Laurent David Cohen, André Gagalowicz · 1989
Stereo matching based on points and lines as the entities has become a well developed industry. In this paper, we investigate region based matching as we feel that many of the shortcomings inherent in other approaches can be overcome by taking more developed entities (to cite but two examples: mismatches over pairs of line elements are to be expected frequently due to the lack of distinguishing features; and occlusion can effects points or segments more than regions). We present a novel approach to the combined problem of image segmentation and object matching, based on interaction between a segmentation component and a stereo component. We believe the combination to be better than the parts taken individually. This paper is limited to segmentation/matching results—we are not concerned with the explicit depth computations here (but see [1]).