Segmentation-based adaptive support for accurate stereo correspondence

Authors:
Federico Tombari;Stefano Mattoccia;Luigi Di Stefano
Affiliations:
Department of Electronics Computer Science and Systems, University of Bologna, Bologna, Italy and Advanced Research Center on Electronic Systems, University of Bologna, Bologna, Italy;Department of Electronics Computer Science and Systems, University of Bologna, Bologna, Italy and Advanced Research Center on Electronic Systems, University of Bologna, Bologna, Italy;Department of Electronics Computer Science and Systems, University of Bologna, Bologna, Italy and Advanced Research Center on Electronic Systems, University of Bologna, Bologna, Italy
Venue:
PSIVT'07 Proceedings of the 2nd Pacific Rim conference on Advances in image and video technology
Year:
2007

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Abstract

Significant achievements have been attained in the field of dense stereo correspondence by local algorithms based on an adaptive support. Given the problem of matching two correspondent pixels within a local stereo process, the basic idea is to consider as support for each pixel only those points which lay on the same disparity plane, rather than those belonging to a fixed support. This paper proposes a novel support aggregation strategy which includes information obtained from a segmentation process. Experimental results on the Middlebury dataset demonstrate that our approach is effective in improving the state of the art.