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