A graph total variation regularizer on surface normals, optimized with ADMM on a bipartite graph, upsamples 3D point clouds with lower point-to-point and point-to-plane errors than APSS and RIMLS.
Algorithm Overview We begin by adding a set of new interior points to the low-res point cloud q to populate the target full-res point cloud p
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3D Point Cloud Super-Resolution via Graph Total Variation on Surface Normals
A graph total variation regularizer on surface normals, optimized with ADMM on a bipartite graph, upsamples 3D point clouds with lower point-to-point and point-to-plane errors than APSS and RIMLS.