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Proceedings Paper

A new stereo matching method based on threshold constrained minimum spanning tree
Author(s): Hai Cao; Yan Ding; Ming Du; Liangjin Zhao; Yating Yuan
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Paper 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).

Paper Details

Date Published: 23 January 2017
PDF: 6 pages
Proc. SPIE 10322, Seventh International Conference on Electronics and Information Engineering, 103222P (23 January 2017); doi: 10.1117/12.2265519
Show Author Affiliations
Hai Cao, Beijing Institute of Technology (China)
Yan Ding, Beijing Institute of Technology (China)
Ming Du, Beijing Institute of Technology (China)
Liangjin Zhao, Beijing Institute of Technology (China)
Yating Yuan, Beijing Institute of Technology (China)

Published in SPIE Proceedings Vol. 10322:
Seventh International Conference on Electronics and Information Engineering
Xiyuan Chen, Editor(s)

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