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FLANN - Fast Library for Approximate Nearest Neighbors
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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.


Documentation
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Addition documentation on how to use the library can be found in the doc/manual.pdf file included in the released versions.
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Paper
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More information and experimental results can be found in the following paper:
 
 * Marius Muja and David G. Lowe, "Fast Approximate Nearest Neighbors with Automatic Algorithm Configuration", in International Conference on Computer Vision Theory and Applications (VISAPP'09), 2009 [PDF] [BibTeX]