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Binocular vision physical coordinate positioning algorithm based on PSO-Harris operator
Author(s): Xiang Ling; QianZhou Wei; Yu Zhang
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Paper Abstract

Aiming at the problems of low accuracy, low positioning accuracy and low efficiency of feature points extraction in existing binocular vision positioning methods, and classical Harris corner detection algorithms depending on the selection of experiential threshold and the setting of corner points extraction, a corner detection algorithm based on PSOHarris operator to detect the double threshold is proposed in this paper, which calculates the optimal threshold by dynamic iterative optimization of the threshold. On this basis, the feature point parallax is calculated to match the image features, and the coordinates of the world coordinate system are calculated according to the coordinates of the target point. The comparison experiments show that the algorithm effectively improves the positioning accuracy and efficiency of feature point extraction.

Paper Details

Date Published: 6 January 2020
PDF: 8 pages
Proc. SPIE 11383, Sixth Asia Pacific Conference on Optics Manufacture, 1138302 (6 January 2020); doi: 10.1117/12.2519692
Show Author Affiliations
Xiang Ling, Guangdong Institute of Intelligent Manufacturing (China)
QianZhou Wei, Guangdong Institute of Intelligent Manufacturing (China)
Yu Zhang, Guangdong Institute of Intelligent Manufacturing (China)


Published in SPIE Proceedings Vol. 11383:
Sixth Asia Pacific Conference on Optics Manufacture
C. F. Benny Cheung; Lai Ting Ho, Editor(s)

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