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Only released in EOL distros:  

perception_pcl: cminpack | flann | pcl | pcl_android | pcl_ros

Package Summary

FLANN is a library for performing fast approximate nearest neighbor searches in high dimensional spaces. It contains a collection of algorithms we found to work best for nearest neighbor search and a system for automatically choosing the best algorithm and optimum parameters depending on the dataset. FLANN is written in C++ and contains bindings for the following languages: C, MATLAB and Python.

perception_pcl: cminpack | flann | pcl | pcl_ros

Package Summary

FLANN is a library for performing fast approximate nearest neighbor searches in high dimensional spaces. It contains a collection of algorithms we found to work best for nearest neighbor search and a system for automatically choosing the best algorithm and optimum parameters depending on the dataset. FLANN is written in C++ and contains bindings for the following languages: C, MATLAB and Python.

perception_pcl_fuerte_unstable: cminpack | flann | pcl16 | pcl16_ros | python_msg_conversions

perception_pcl: flann | pcl | pcl_ros

Package Summary

FLANN is a library for performing fast approximate nearest neighbor searches in high dimensional spaces. It contains a collection of algorithms we found to work best for nearest neighbor search and a system for automatically choosing the best algorithm and optimum parameters depending on the dataset. FLANN is written in C++ and contains bindings for the following languages: C, MATLAB and Python.

Package Summary

FLANN is a library for performing fast approximate nearest neighbor searches in high dimensional spaces. It contains a collection of algorithms we found to work best for nearest neighbor search and a system for automatically choosing the best algorithm and optimum parameters depending on the dataset.

  • Maintainer: Vincent Rabaud <vrabaud AT willowgarage DOT com>
  • Author: Marius Muja <mariusm AT cs.ubc DOT ca>
  • License: BSD

External Documentation

This is a third party package with external documentation.


2019-12-07 12:37