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14 November 2007 Point pattern matching using TIN and affine invariants
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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.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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