Description:

libnabo is a fast K Nearset Neighbor library for low-dimensional spaces. It provides a CPU implementation that is 30% faster than ANN. It is a C++ library with Python bindings.

Changes to previous version:

• Added python bindings
• Improved performances with STL_HEAP when the number of points found is significantly smaller than the number of points requested
• Added boundary checks in case of very large point clouds
• Fixed epsilon semantics to match the one of ANN

BibTeX Entry: Download

Corresponding Paper BibTeX Entry: Download

URL: Project Homepage

Supported Operating Systems: Agnostic

Data Formats: Space Separated Values

Tags: Gpu, Knn, K Nearest Neighbor, Opencl, Reentrant

Archive: download here

Other available revisons

Version	Changelog	Date
1.0.2	Added python bindings Improved performances with STL_HEAP when the number of points found is significantly smaller than the number of points requested Added boundary checks in case of very large point clouds Fixed epsilon semantics to match the one of ANN	February 20, 2013, 09:58:33
1.0.0	Release of version 1.0.0	October 21, 2011, 16:30:16
git-master	Initial Announcement on mloss.org.	January 28, 2011, 11:12:44

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