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A Noise-Resistant Stereo Matching Algorithm Integrating Regional Information
Feng Huahui1; Zhang Geng2; Zhang Xin2; Hu Bingliang2
2018
Conference Name3rd IEEE International Conference on Image, Vision and Computing (ICIVC)
Source Publication2018 IEEE 3RD INTERNATIONAL CONFERENCE ON IMAGE, VISION AND COMPUTING (ICIVC)
Pages952-955
Conference Date2018-06-27
Conference PlaceChongqing, PEOPLES R CHINA
PublisherIEEE
Contribution Rank1
Abstract

Focusing on the problem existing in stereo matching that low-SNR image, such as images collected at night, we propose a novel matching framework based on semi-global matching algorithm and AD-Census. This algorithm extends the original algorithms in two ways. First, image segmentation information as an additional constraint is added that solve the problem of incomplete path and improve the accuracy of cost calculation. Second, the matching cost volume is calculated with AD-SoftCensus measure that minimizes the impact of noise on the quality of matching by changing the pattern of census descriptor from binary to trinary. Results of Middlebury standard test data show that the algorithm significantly improves the precision of matching. In addition, a low-light binocular platform is built to test our method in night environment. Results show the disparity maps are more accurate compared to previous methods.

Department光谱成像技术实验室
Indexed ByEI ; CPCI
ISBN978-1-5386-4991-6
Language英语
WOS IDWOS:000448170000185
EI Accession Number20184706085694
Citation statistics
Document Type会议论文
Identifierhttp://ir.opt.ac.cn/handle/181661/30709
Collection光谱成像技术实验室
Corresponding AuthorFeng Huahui
Affiliation1.Univ Chinese Acad Sci, Xian Inst Opt & Precis Mech, Xian, Shaanxi, Peoples R China
2.Xian Inst Opt & Precis Mech, Xian, Shaanxi, Peoples R China
Recommended Citation
GB/T 7714
Feng Huahui,Zhang Geng,Zhang Xin,et al. A Noise-Resistant Stereo Matching Algorithm Integrating Regional Information[C]:IEEE,2018:952-955.
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