2021 IEEE/CVF International Conference on Computer Vision (ICCV) 2021
DOI: 10.1109/iccv48922.2021.00544
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Distinctiveness oriented Positional Equilibrium for Point Cloud Registration

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Cited by 15 publications
(1 citation statement)
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“…Animation Transformer [4] uses cross attention [36] to find dense correspondences between two line segments. The dense correspondences are predicted as a 2D correspondence matrix, similar to the feature matching step in the 3D point cloud registration [22,35]. ContourFlow [9] finds the point correspondences among the fragmented contours.…”
Section: Dense Correspondencesmentioning
confidence: 99%
“…Animation Transformer [4] uses cross attention [36] to find dense correspondences between two line segments. The dense correspondences are predicted as a 2D correspondence matrix, similar to the feature matching step in the 3D point cloud registration [22,35]. ContourFlow [9] finds the point correspondences among the fragmented contours.…”
Section: Dense Correspondencesmentioning
confidence: 99%