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Proceedings Paper

A point matching algorithm based on reference point pair
Author(s): Huanxin Zou; Youqing Zhu; Shilin Zhou; Lin Lei
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Paper Abstract

Outliers and occlusions are important degradation in the real application of point matching. In this paper, a novel point matching algorithm based on the reference point pairs is proposed. In each iteration, it firstly eliminates the dubious matches to obtain the relatively accurate matching points (reference point pairs), and then calculates the shape contexts of the removed points with reference to them. After re-matching the removed points, the reference point pairs are combined to achieve better correspondences. Experiments on synthetic data validate the advantages of our method in comparison with some classical methods.

Paper Details

Date Published: 2 March 2016
PDF: 9 pages
Proc. SPIE 9901, 2nd ISPRS International Conference on Computer Vision in Remote Sensing (CVRS 2015), 990104 (2 March 2016); doi: 10.1117/12.2234832
Show Author Affiliations
Huanxin Zou, National Univ. of Defense Technology (China)
Youqing Zhu, National Univ. of Defense Technology (China)
Shilin Zhou, National Univ. of Defense Technology (China)
Lin Lei, National Univ. of Defense Technology (China)


Published in SPIE Proceedings Vol. 9901:
2nd ISPRS International Conference on Computer Vision in Remote Sensing (CVRS 2015)
Cheng Wang; Rongrong Ji; Chenglu Wen, Editor(s)

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