An approach to robust ICP initialization
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Publication:6420146
arXiv2212.05332MaRDI QIDQ6420146
Author name not available (Why is that?)
Publication date: 10 December 2022
Abstract: In this note, we propose an approach to initialize the Iterative Closest Point (ICP) algorithm to match unlabelled point clouds related by rigid transformations. The method is based on matching the ellipsoids defined by the points' covariance matrices and then testing the various principal half-axes matchings that differ by elements of a finite reflection group. We derive bounds on the robustness of our approach to noise and numerical experiments confirm our theoretical findings.
Has companion code repository: https://github.com/sashakolpakov/icp-init
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