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Edge-aware dynamic programming-based cost aggregation for robust stereo matching

[+] Author Affiliations
Song Zhu, Danhua Cao, Yubin Wu, Shixiong Jiang

Huazhong University of Science and Technology, School of Optical and Electronic Information, 1037 Luoyu Road, Wuhan 430074, China

J. Electron. Imaging. 24(4), 043016 (Aug 17, 2015). doi:10.1117/1.JEI.24.4.043016
History: Received January 18, 2015; Accepted July 14, 2015
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Abstract.  Binocular stereo matching is one of the core algorithms in stereo vision. The edge-aware filter-based cost aggregation methods can produce precise disparity maps on the famous Middlebury benchmark (indoor). However, they perform poorly on the KITTI vision benchmark (outdoor) because frontal-parallel surfaces are assumed in the filter-based methods. We propose a new cost aggregation algorithm which discards the frontal-parallel surfaces assumption. The proposed algorithm performs like optimizing an energy function via dynamic programming. The proposed energy function integrates the pairwise smooth energy by the edge-aware filtering approach, which makes the proposed method adapt to slanted surfaces. The proposed algorithm not only outperforms the edge-aware filter-based local methods on the Middlebury benchmark but also performs well on the KITTI vision benchmark.

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Citation

Song Zhu ; Danhua Cao ; Yubin Wu and Shixiong Jiang
"Edge-aware dynamic programming-based cost aggregation for robust stereo matching", J. Electron. Imaging. 24(4), 043016 (Aug 17, 2015). ; http://dx.doi.org/10.1117/1.JEI.24.4.043016


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