Comments (1)
This is why open source is cool... thank you! You are totally right, of course.
I just fixed it, but the strange point is that since your message I've been performing different performance tests (with 2D point clouds in robotics applications, and with 3D random point clouds) and I could not observe any relevant improvement (!).
But the correct algorithm is with your correction, so it's merged.
Cheers.
from nanoflann.
Related Issues (20)
- KDTree Class pass object via pointer doesn't work HOT 1
- Build 2D tree on 3D cloud
- Cannot use IndexType other than std::size_t HOT 2
- How to add KDTree into a hashset/hashmap? HOT 3
- Segfault when saving index built from empty array HOT 1
- Customized masks support on KD tree? HOT 2
- Removing nodes from a KDTree
- compile issue HOT 1
- Using multiple threads for building the kdtree with KDTreeEigenMatrixAdaptor
- error C2059: syntax error : 'const' plz help me HOT 1
- Function “findNeighbors” result wrong HOT 1
- Conflicts with multiple versions of nanoflann HOT 3
- Radius search for dynamic adaptor HOT 1
- Request for Support with Copy and Move Semantics for KDTree in nanoflann Library HOT 1
- Support KNN search within radius HOT 2
- Performance issues with RKNNResultSet HOT 2
- What't the the meaning of function accum_dist?
- the Strange code in middleSplit_()
- In debug mode, knnsearch will trigger _CONTAINER_DEBUG_LEVEL HOT 5
- What is correct implementation in order to query farthest(not closest) point?
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from nanoflann.