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++ utility to compute local geometric features of a point cloud

Unofficial python wrapper to the nanoflann k-d tree

Performance comparison of NearestSearch and radiusSearch function in point cloud.

RRT, RRT* algorithms and a visualizer of these algorithms.

Implementation of Iterative Closest Point and Trimmed Iterative Closest Point algorithms.

My master's project

DBSCAN: faster evaluation using nanoflann's kdtree

nanoflann wrapper for python and maybe fortran

A simple yet effective approach to detecting visual anomalies

Hierarchiacal Motion Tracking algorithm based on ORB

js kdtree and flann lib benchmark

nanoflann: a C++11 header-only library for Nearest Neighbor (NN) search wih KD-trees

KNN: fast runtime performance using nanoflann's kdtree

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