Articles with "wasserstein discrepancy" as a keyword



LPOT: Locality-Preserving Gromov-Wasserstein Discrepancy for Nonrigid Point Set Registration.

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Published in 2022 at "IEEE transactions on neural networks and learning systems"

DOI: 10.1109/tnnls.2022.3231652

Abstract: The main problems in point registration involve recovering correspondences and estimating transformations, especially in a fully unsupervised way without any feature descriptors. In this work, we propose a robust point matching method using discrete optimal… read more here.

Keywords: gromov wasserstein; registration; point; wasserstein discrepancy ... See more keywords