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I am quite curious about the implementation in neighborhood search. As stated in this comment, radius search by kd-tree is experimentally faster than direct search by voxel hashing. This is quite different from the intuition that complexity for searching with kd-tree and voxel hashing are O(log(n)) and O(1), respectively. Any hints for this?
The text was updated successfully, but these errors were encountered:
That comment was written by the author of the original NDT code in PCL. In that code, a strange neighborhood pattern was used for direct search (26 voxels: 3x3x3 except for center), and it largely affected the processing speed. I tried to replace it with more reasonable patterns (DIRECT1/7) and observed that in this setting direct search works better than radius search.
Hi,
I am quite curious about the implementation in neighborhood search. As stated in this comment, radius search by kd-tree is experimentally faster than direct search by voxel hashing. This is quite different from the intuition that complexity for searching with kd-tree and voxel hashing are O(log(n)) and O(1), respectively. Any hints for this?
The text was updated successfully, but these errors were encountered: