FPv1 (prior name FAUST-partial) is a 3D registration benchmark dataset created to address the lack of data variability in the existing 3D registration benchmarks such as: 3DMatch, ETH, KITTI.
The original FAUST training dataset is comprised of 100 3D scans of human bodies.
The benchmark generation for a single scan from the FAUST training dataset can be summarized as follows:
Finally, for a pair of partial point clouds with the desired overalp, generate a random rotation from the desired rotation range and translation range.
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