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• W2754495650 abstract "The problem of aligning of 3D point data is the known registration task. The most popular registration algorithm is the Iterative Closest Point (ICP) algorithm. The traditional ICP algorithm is a fast and accurate approach for rigid registration between two point clouds but it is unable to handle affine case. Recently, extension of the ICP algorithm for composition of scaling, rotation, and translation is proposed. A generalized ICP version for an arbitrary affine transformation is also suggested. In this paper, a new iterative algorithm for registration of point clouds based on the point-to-plane ICP algorithm with affine transformations is proposed. At each iteration, a closed-form solution to the affine transformation is derived. This approach allows us to get a precise solution for transformations such as rotation, translation, and scaling. With the help of computer simulation, the proposed algorithm is compared with common registration algorithms." @default.
• W2754495650 created "2017-09-25" @default.
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• W2754495650 date "2017-09-19" @default.
• W2754495650 modified "2023-09-23" @default.
• W2754495650 title "An efficient point-to-plane registration algorithm for affine transformations" @default.
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• W2754495650 doi "https://doi.org/10.1117/12.2273604" @default.
• W2754495650 hasPublicationYear "2017" @default.
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