Project details for libnabo

Logo libnabo git-master

by smagnenat - January 28, 2011, 11:12:44 CET [ Project Homepage BibTeX Download ]

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libnabo is a fast K Nearset Neighbor library for low-dimensional spaces. It provides a CPU implementation that is 30% faster than ANN, and also provides an experimental OpenCL implementation.

Changes to previous version:

Initial Announcement on

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
  • Reset point indices of results with distances exceeding threshold (#23, #24)
  • Fine tune the find_package() capability and add uninstall target (#22)
  • Fixed compiler warning (#18)
  • Added OpenMP support (#20, #21)
  • Build type tuning (#19)
  • Fix: terminal comma in enum requires C++11
  • Fix UBSAN error calculating maxNodeCount (#16, #17)
  • Fixed tiny (yet significant) error in the Python doc strings (#15)
  • Compile static lib with PIC (#14)
  • Added configure scripts for full catkinization
  • Catkinization of libnabo (following REP136)
  • Update Added Simon as the maintainer.
  • [test] use CLOCK_PROF for NetBSD build
  • Fixed CppCheck warning. Fix broken install when doxygen is not found
  • Fix cmake stylistic issue
  • Make python install respect custom CMAKE_INSTALL_PREFIX
  • Fix broken install when doxygen is not found
August 5, 2015, 12:16:40
  • Added parameter check for optionFlags in queries.
  • Fixed OS X compilation.
September 4, 2013, 09:34:08
  • Added more size sanity checks.
  • Make sure the version information retrieval script works in Windows to prevent weired errors (it needs grep), updated documentation with respect to that point.
August 19, 2013, 16:08:55
  • 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

Release of version 1.0.0

October 21, 2011, 16:30:16

Initial Announcement on

January 28, 2011, 11:12:44


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