【摘 要】
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Point clouds sampled from manifolds are transformed to new point clouds by Laplace-Beltrami(LB)eigenmap defined intrinsically on the manifolds which is inva
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Point clouds sampled from manifolds are transformed to new point clouds by Laplace-Beltrami(LB)eigenmap defined intrinsically on the manifolds which is invariant under isometric transformation of the original manifolds.We design computational models and algorithms for registration of the transformed point clouds in distribution/probability form based on optimal transport theory and incorporate a rigid transformation to handle ambiguities.Our method provides an efficient,robust and accurate multi-scale approach for non-rigid point cloud registration.
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