Abstract: In this paper, we present DV-Matcher, a novel learning-based framework for estimating dense correspondences between non-rigidly deformable point clouds. Learning directly from unstructured ...
Abstract: With the rising of industries such as autonomous driving and robotics, as well as the maturity of various 3D sensing technologies, the application of processing point cloud data to perceive ...
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