An Unsupervised, Iterative N-Dimensional Point-Set Registration Algorithm
arXiv:1908.04384
Abstract
An unsupervised, iterative point-set registration algorithm for an unlabeled (i.e. correspondence between points is unknown) N-dimensional Euclidean point-cloud is proposed. It is based on linear least squares, and considers all possible point pairings and iteratively aligns the two sets until the number of point pairs does not exceed the maximum number of allowable one-to-one pairings.
arXiv admin note: text overlap with arXiv:1702.01870