Point pattern matching using TIN and affine invariants

Bi-tao Fu; Cheng Wang; Zhi-yuan Zeng

doi:10.1117/12.774763

14 November 2007 Point pattern matching using TIN and affine invariants

Bi-tao Fu, Cheng Wang, Zhi-yuan Zeng

Proceedings Volume 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications; 67903P (2007) https://doi.org/10.1117/12.774763
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

Abstract

How to perform initial match is a key problem of automatic image matching. This paper proposes a point pattern matching algorithm to match two point sets coarsely using affine invariants, area ratio of adjacent triangles. Its process is to constitute triangulated irregular network (TIN) by point sets, search the homonymous triangles by area ratio and affine transformation equations, and then establish initial mapping relations between two point sets, finally use least square matching to match them accurately. Experiments show that it can match two affine transformation point sets automatically without manpower-intervention and other auxiliary information.

Citation Download Citation

Bi-tao Fu, Cheng Wang, and Zhi-yuan Zeng "Point pattern matching using TIN and affine invariants", Proc. SPIE 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications, 67903P (14 November 2007); https://doi.org/10.1117/12.774763

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