This is a library for fast approximate nearest neighbor matching.
See the doc/manual.pdf file for information on how to use the library.
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.
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]