nanoflann: a C++11 header-only library for Nearest Neighbor (NN) search with KD-trees
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Updated
Aug 25, 2026 - C++
nanoflann: a C++11 header-only library for Nearest Neighbor (NN) search with KD-trees
An easy-to-use Python library for processing and manipulating 3D point clouds and meshes.
Python wrapper around C++ utilities for computing neighbors and local geometric features of a point cloud
Unofficial python wrapper to the nanoflann k-d tree
Implementation of Iterative Closest Point and Trimmed Iterative Closest Point algorithms.
Performance comparison of NearestSearch and radiusSearch function in point cloud.
RRT, RRT* algorithms and a visualizer of these algorithms.
DBSCAN: faster evaluation using nanoflann's kdtree
Density-peak clustering with path-density mutual-reachability merging. Sub-quadratic O(n log n) via a C++ pybind11/nanoflann kd-tree. ×ばつ speedup at n=50k.
A simple yet effective approach to detecting visual anomalies
Hierarchiacal Motion Tracking algorithm based on ORB
nanoflann: a C++11 header-only library for Nearest Neighbor (NN) search wih KD-trees
js kdtree and flann lib benchmark
point-cloud registeration using Iterative closest point algorithm
Simplified version of https://link.springer.com/content/pdf/10.1007%2F978-3-642-10268-4_123.pdf
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