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Stereo matching algorithm based on the combination of matching costs
Wang ED(王恩德)1,2,3; Zhu YL(朱亚龙)1,2,3; Peng LY(彭良玉)1,2,3; Yijun, Li4; Tianyao, Wu5
Department光电信息技术研究室
Conference Name7th IEEE Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, CYBER 2017
Conference DateJuly 31 - August 4, 2017
Conference PlaceHawaii, USA
Author of SourceIEEE Robotics and Automation Society
Source Publication2017 IEEE 7th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, CYBER 2017
PublisherIEEE
Publication PlaceNew York
2017
Pages1001-1004
Indexed ByEI ; CPCI(ISTP)
EI Accession number20183905873527
WOS IDWOS:000447628700182
Contribution Rank1
ISBN978-1-5386-0489-2
KeywordStereo Matching Combination Of Matching Costs Energy Function Optimization
Abstract

Aiming at solving the problem of low accuracy of weak texture region and disparity discontinuous region and sensitivity to illumination caused by existing local stereo matching algorithm, a new stereo matching algorithm based on the combination of Sum of Absolute Difference algorithm and Absolute Difference of Gradient algorithm is presented here. Using the average of the pixels in the disparity range to apply adaptive weight to the SAD part. The new algorithm can adaptively adjust each part of the cost function in the proportion of the total cost function according to the different texture, illumination characteristics of image. Moreover, we use the semiglobal matching algorithm to calculate the cost of 8 directions, to carry out optimized processing on disparity image, finally a dense disparity map is obtained. The experimental results shows that the proposed method not only improve accuracy of stereo matching, but also has well results in weak texture region and disparity discontinuous region.

Language英语
Citation statistics
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/22831
Collection光电信息技术研究室
Corresponding AuthorWang ED(王恩德)
Affiliation1.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
2.Key Laboratory of Opto-Electronic Information Processing, CAS, Shenyang 110016, China
3.Key Lab of Image Understanding and Computer Vision, Liaoning Province, Shenyang 110016, China
4.College of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China
5.School of Metallurgy, Northeastern University, Shenyang 110819, China
Recommended Citation
GB/T 7714
Wang ED,Zhu YL,Peng LY,et al. Stereo matching algorithm based on the combination of matching costs[C]//IEEE Robotics and Automation Society. New York:IEEE,2017:1001-1004.
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