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Journal of Electronic Imaging

Edge-aware dynamic programming-based cost aggregation for robust stereo matching
Author(s): Song Zhu; Danhua Cao; Yubin Wu; Shixiong Jiang
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Paper 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.

Paper Details

Date Published: 17 August 2015
PDF: 7 pages
J. Electron. Imaging. 24(4) 043016 doi: 10.1117/1.JEI.24.4.043016
Published in: Journal of Electronic Imaging Volume 24, Issue 4
Show Author Affiliations
Song Zhu, Huazhong Univ. of Science and Technology (China)
Danhua Cao, Huazhong Univ. of Science and Technology (China)
Yubin Wu, Huazhong Univ. of Science and Technology (China)
Shixiong Jiang, Huazhong Univ. of Science and Technology (China)


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