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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| Date: | 2022 |
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| Main Authors: | , , |
| Format: | Article |
| Language: | English |
| Published: |
Institute of Mathematics, NAS of Ukraine
2022
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| Online Access: | https://umj.imath.kiev.ua/index.php/umj/article/view/6969 |
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| Journal Title: | Ukrains’kyi Matematychnyi Zhurnal |
| Download file: |  |