24 November 2014 A robust point set registration algorithm based on information geometry
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Proceedings Volume 9301, International Symposium on Optoelectronic Technology and Application 2014: Image Processing and Pattern Recognition; 930110 (2014) https://doi.org/10.1117/12.2070836
Event: International Symposium on Optoelectronic Technology and Application 2014, 2014, Beijing, China
Abstract
Point set registration is a key component in many computer vision tasks. This paper proposes a point set registration algorithm based on information geometry. Point sets to be registration are converting to the statistical manifolds by Gaussian mixture model. The component of mixture model represents the dimension of statistical manifold and point set is a point on manifold. Through conversion, point set registration is reformulated as searching the shortest path between two manifold and we can use the em algorithm which defined by information geometry to get the optimization solution. Experimental results show that the proposed algorithm is robust to noise and outliers, and achieved very good accuracy.
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Xiaoqiang Hua, Ping Wang, Kefeng Ji, Yinghui Gao, Ruigang Fu, "A robust point set registration algorithm based on information geometry", Proc. SPIE 9301, International Symposium on Optoelectronic Technology and Application 2014: Image Processing and Pattern Recognition, 930110 (24 November 2014); doi: 10.1117/12.2070836; https://doi.org/10.1117/12.2070836
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