nanoflann: a C++11 header-only library for Nearest Neighbor (NN) search wih KD-trees
-
Updated
May 13, 2018 - C++
nanoflann: a C++11 header-only library for Nearest Neighbor (NN) search wih KD-trees
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
A simple yet effective approach to detecting visual anomalies
Hierarchiacal Motion Tracking algorithm based on ORB
DBSCAN: faster evaluation using nanoflann's kdtree
Implementation of Iterative Closest Point and Trimmed Iterative Closest Point algorithms.
RRT, RRT* algorithms and a visualizer of these algorithms.
Performance comparison of NearestSearch and radiusSearch function in point cloud.
Unofficial python wrapper to the nanoflann k-d tree
Python wrapper around C++ utility to compute local geometric features of a point cloud
An easy-to-use Python library for processing and manipulating 3D point clouds and meshes.
nanoflann: a C++11 header-only library for Nearest Neighbor (NN) search with KD-trees
Add a description, image, and links to the nanoflann topic page so that developers can more easily learn about it.
To associate your repository with the nanoflann topic, visit your repo's landing page and select "manage topics."