Abstract
Iterative Closest Point (ICP) is a popular rigid point set registration method that has been used to align two or more rigid shapes. In order to reduce the computation complexity and improve the flexibility of ICP algorithm, an efficient and robust subset-ICP rigid registration method is proposed in this paper. It searches for the corresponding pairs on subsets of the entire data, which can provide structural information to benefit the registration. Experimental results on 2D and 3D point sets demonstrate the efficiency and robustness of the proposed method.
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Chen, J., Belaton, B. (2014). An Improved Iterative Closest Point Algorithm for Rigid Point Registration. In: Wang, X., Pedrycz, W., Chan, P., He, Q. (eds) Machine Learning and Cybernetics. ICMLC 2014. Communications in Computer and Information Science, vol 481. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45652-1_26
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DOI: https://doi.org/10.1007/978-3-662-45652-1_26
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