23 January 2017 A new stereo matching method based on threshold constrained minimum spanning tree
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Proceedings Volume 10322, Seventh International Conference on Electronics and Information Engineering; 103222P (2017) https://doi.org/10.1117/12.2265519
Event: Seventh International Conference on Electronics and Information Engineering, 2016, Nanjing, China
Abstract
This paper proposes a novelty dense stereo matching method based on TC-MST (Threshold Constrained Minimum Spanning Tree), which aims to improve the accuracy of distance measuring. Due to the threshold has a great impact on the results of image segments, to select a better threshold, we adopt iteration threshold method. And then we uses MST to calculate the cost aggregation, and utilize the winner-take-all algorithm for the cost aggregation to obtain the disparity. Finally the method proposed is used in a distance measuring system. The experiment results show that this method improves the distance measuring accuracy compared with BM (block matching).
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Hai Cao, Hai Cao, Yan Ding, Yan Ding, Ming Du, Ming Du, Liangjin Zhao, Liangjin Zhao, Yating Yuan, Yating Yuan, } "A new stereo matching method based on threshold constrained minimum spanning tree", Proc. SPIE 10322, Seventh International Conference on Electronics and Information Engineering, 103222P (23 January 2017); doi: 10.1117/12.2265519; https://doi.org/10.1117/12.2265519
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