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An unsupervised, iterative $N$-dimensional point-set registration algorithm

UDC 517.9 An unsupervised, iterative $N$-dimensional point-set registration algorithm for unlabeled data (i.e., correspondence between points is unknown) and based on linear least squares is proposed. The algorithm considers all possible point pairings and iteratively aligns the two sets until the n...

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Bibliographic Details
Date:	2022
Main Authors:	Hosseinbor, P., Zhdanov, R., Ushveridze, A.
Format:	Article
Language:	English
Published:	Institute of Mathematics, NAS of Ukraine 2022
Online Access:	https://umj.imath.kiev.ua/index.php/umj/article/view/6969
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Journal Title:	Ukrains’kyi Matematychnyi Zhurnal
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