NDLI: Optimization of Stereo Matching in 3D Reconstruction Based on Binocular Vision

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Optimization of Stereo Matching in 3D Reconstruction Based on Binocular Vision

Content Provider	Scilit
Author	Gai, Qiyang
Copyright Year	2018
Description	Journal: Journal of Physics: Conference Series Stereo matching is one of the key steps of 3D reconstruction based on binocular vision. In order to improve the convergence speed and accuracy in 3D reconstruction based on binocular vision, this paper adopts the combination method of polar constraint and ant colony algorithm. By using the line constraint to reduce the search range, an ant colony algorithm is used to optimize the stereo matching feature search function in the proposed search range. Through the establishment of the stereo matching optimization process analysis model of ant colony algorithm, the global optimization solution of stereo matching in 3D reconstruction based on binocular vision system is realized. The simulation results show that by the combining the advantage of polar constraint and ant colony algorithm, the stereo matching range of 3D reconstruction based on binocular vision is simplified, and the convergence speed and accuracy of this stereo matching process are improved.
Related Links	http://iopscience.iop.org/article/10.1088/1742-6596/960/1/012029/pdf
ISSN	17426588
e-ISSN	17426596
DOI	10.1088/1742-6596/960/1/012029
Journal	Journal of Physics: Conference Series
Issue Number	1
Volume Number	960
Language	English
Publisher	IOP Publishing
Publisher Date	2018-01-01
Access Restriction	Open
Subject Keyword	Journal: Journal of Physics: Conference Series Industrial Engineering Reconstruction Based 3d Reconstruction
Content Type	Text
Resource Type	Article
Subject	Physics and Astronomy

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