A point matching algorithm based on reference point pair

Huanxin Zou; Youqing Zhu; Shilin Zhou; Lin Lei

doi:10.1117/12.2234832

2 March 2016 A point matching algorithm based on reference point pair

Huanxin Zou, Youqing Zhu, Shilin Zhou, Lin Lei

Proceedings Volume 9901, 2nd ISPRS International Conference on Computer Vision in Remote Sensing (CVRS 2015); 990104 (2016) https://doi.org/10.1117/12.2234832
Event: 2015 ISPRS International Conference on Computer Vision in Remote Sensing, 2015, Xiamen, China

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.

Citation Download Citation

Huanxin Zou, Youqing Zhu, Shilin Zhou, and Lin Lei "A point matching algorithm based on reference point pair", Proc. SPIE 9901, 2nd ISPRS International Conference on Computer Vision in Remote Sensing (CVRS 2015), 990104 (2 March 2016); https://doi.org/10.1117/12.2234832

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