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.
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Tombari, F., Mattoccia, S., Di Stefano, L. (2007). Segmentation-Based Adaptive Support for Accurate Stereo Correspondence. In: Mery, D., Rueda, L. (eds) Advances in Image and Video Technology. PSIVT 2007. Lecture Notes in Computer Science, vol 4872. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77129-6_38
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DOI: https://doi.org/10.1007/978-3-540-77129-6_38
Publisher Name: Springer, Berlin, Heidelberg
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