A new stereo matching method based on threshold constrained minimum spanning tree

Hai Cao; Yan Ding; Ming Du; Liangjin Zhao; Yating Yuan

doi:10.1117/12.2265519

23 January 2017 A new stereo matching method based on threshold constrained minimum spanning tree

Hai Cao, Yan Ding, Ming Du, Liangjin Zhao, Yating Yuan

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).

Citation Download Citation

Hai Cao, Yan Ding, Ming Du, Liangjin Zhao, and 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); https://doi.org/10.1117/12.2265519

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KEYWORDS

Image segmentation

Distance measurement

Cameras

Cadmium

Image processing algorithms and systems

Calibration

Imaging systems

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