@inproceedings{8d93290dfde3487887855fb9e2376566,
title = "A new stereo matching method based on threshold constrained minimum spanning tree",
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).",
keywords = "Binocular calibration, Distance, Gray mean value, Minimum spanning tree, Parallax, Stereo matching, Threshold constraint",
author = "Hai Cao and Yan Ding and Ming Du and Liangjin Zhao and Yating Yuan",
note = "Publisher Copyright: {\textcopyright} 2017 SPIE.; 7th International Conference on Electronics and Information Engineering, ICEIE 2016 ; Conference date: 17-09-2016 Through 18-09-2016",
year = "2017",
doi = "10.1117/12.2265519",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Xiyuan Chen",
booktitle = "Seventh International Conference on Electronics and Information Engineering",
address = "United States",
}