Binocular vision physical coordinate positioning algorithm based on PSO-Harris operator

Xiang Ling; QianZhou Wei; Yu Zhang

doi:10.1117/12.2519692

6 January 2020 Binocular vision physical coordinate positioning algorithm based on PSO-Harris operator

Xiang Ling, QianZhou Wei, Yu Zhang

Proceedings Volume 11383, Sixth Asia Pacific Conference on Optics Manufacture; 1138302 (2020) https://doi.org/10.1117/12.2519692
Event: Sixth Asia Pacific Conference on Optics Manufacture, 2019, Hong Kong, Hong Kong

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.

Citation Download Citation

Xiang Ling, QianZhou Wei, and Yu Zhang "Binocular vision physical coordinate positioning algorithm based on PSO-Harris operator", Proc. SPIE 11383, Sixth Asia Pacific Conference on Optics Manufacture, 1138302 (6 January 2020); https://doi.org/10.1117/12.2519692

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Cameras

Feature extraction

Detection and tracking algorithms

3D modeling

Imaging systems

Particle swarm optimization

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