A point-pattern matching method based on maximal subset of one-to-one mapping

Jing Hu; Tian-Xu Zhang

doi:10.1117/12.832468

30 October 2009 A point-pattern matching method based on maximal subset of one-to-one mapping

Jing Hu, Tian-Xu Zhang

Proceedings Volume 7496, MIPPR 2009: Pattern Recognition and Computer Vision; 74960C (2009) https://doi.org/10.1117/12.832468
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

Abstract

This paper presents a new affine registration approach for planar point pattern matching. A process of parameter space clustering is implemented to confirm a one-to-one mapping between the maximal subsets of feature point sets in images. For a best performance, a coarse parameter space and a fine parameter space are used for vectors comparison. Experiments show that the method can produce positive results from a small number of feature points and intensive noise.

Citation Download Citation

Jing Hu and Tian-Xu Zhang "A point-pattern matching method based on maximal subset of one-to-one mapping", Proc. SPIE 7496, MIPPR 2009: Pattern Recognition and Computer Vision, 74960C (30 October 2009); https://doi.org/10.1117/12.832468

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