Stereo Matching by Filtering-Based Disparity Propagation.
Stereo matching is essential and fundamental in computer vision tasks. In this paper, a novel stereo matching algorithm based on disparity propagation using edge-aware filtering is proposed. By extracting disparity subsets for reliable points and customizing the cost volume, the initial disparity map is refined through filtering-based disparity propagation. Then, an edge-aware filter with low computational complexity is adopted to formulate the cost column, which makes the proposed method independent on the local window size. Experimental results demonstrate the effectiveness of the proposed scheme. Bad pixels in our output disparity map are considerably decreased. The proposed method greatly outperforms the adaptive support-weight approach and other conditional window-based local stereo matching algorithms.
Shenzhen Key Laboratory of Broadband Network & Multimedia Graduate School at Shenzhen, Tsinghua University, Shenzhen, China.|Shenzhen Institute of Future Media Technology, Shenzhen, China.
Xingzheng
X
Wang
Shenzhen Key Laboratory of Broadband Network & Multimedia Graduate School at Shenzhen, Tsinghua University, Shenzhen, China.|Shenzhen Institute of Future Media Technology, Shenzhen, China.
Yushi
Y
Tian
Shenzhen Key Laboratory of Broadband Network & Multimedia Graduate School at Shenzhen, Tsinghua University, Shenzhen, China.|Shenzhen Institute of Future Media Technology, Shenzhen, China.
Haoqian
H
Wang
Shenzhen Key Laboratory of Broadband Network & Multimedia Graduate School at Shenzhen, Tsinghua University, Shenzhen, China.|Shenzhen Institute of Future Media Technology, Shenzhen, China.
Yongbing
Y
Zhang