2L-LSH achieves faster kNN and range neighbor searches in large point clouds than Kd-tree and Octree via a two-level hashing strategy, with reported time reductions of 51-94% for kNN and 42-55% for range searches.
(2019) Abc: A big cad model dataset for geometric deep learning.Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, Long Beach, CA, 15-20 June, pp
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2L-LSH: A Locality-Sensitive Hash Function-Based Method For Rapid Point Cloud Indexing
2L-LSH achieves faster kNN and range neighbor searches in large point clouds than Kd-tree and Octree via a two-level hashing strategy, with reported time reductions of 51-94% for kNN and 42-55% for range searches.