10 April 2018 Robust non-rigid registration algorithm based on local affine registration
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Proceedings Volume 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017); 106151Q (2018) https://doi.org/10.1117/12.2302642
Event: Ninth International Conference on Graphic and Image Processing, 2017, Qingdao, China
Abstract
Aiming at the problem that the traditional point set non-rigid registration algorithm has low precision and slow convergence speed for complex local deformation data, this paper proposes a robust non-rigid registration algorithm based on local affine registration. The algorithm uses a hierarchical iterative method to complete the point set non-rigid registration from coarse to fine. In each iteration, the sub data point sets and sub model point sets are divided and the shape control points of each sub point set are updated. Then we use the control point guided affine ICP algorithm to solve the local affine transformation between the corresponding sub point sets. Next, the local affine transformation obtained by the previous step is used to update the sub data point sets and their shape control point sets. When the algorithm reaches the maximum iteration layer K, the loop ends and outputs the updated sub data point sets. Experimental results demonstrate that the accuracy and convergence of our algorithm are greatly improved compared with the traditional point set non-rigid registration algorithms.
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Liyang Wu, Liyang Wu, Lei Xiong, Lei Xiong, Shaoyi Du, Shaoyi Du, Duyan Bi, Duyan Bi, Ting Fang, Ting Fang, Kun Liu, Kun Liu, Dongpeng Wu, Dongpeng Wu, } "Robust non-rigid registration algorithm based on local affine registration", Proc. SPIE 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017), 106151Q (10 April 2018); doi: 10.1117/12.2302642; https://doi.org/10.1117/12.2302642
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