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<h1>VLFeat.org</h1>
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<p>The <b>VLFeat</b> <a shape="rect" href="http://www.gnu.org/licenses/old-licenses/gpl-2.0.html">open
source</a> library implements popular computer vision algorithms
including
<em>SIFT</em>, <em>MSER</em>, <em>k-means</em>, <em>hierarchical
k-means</em>, <em>agglomerative information bottleneck, and quick shift</em>.
It is written in C for efficiency and compatibility, with interfaces in
MATLAB for ease of use, and detailed documentation throughout. It supports
<em>Windows</em>, <em>Mac OS X</em>, and <em>Linux</em>. The latest version of
VLFeat is <code>0.9.5</code>.</p>
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<li><a shape="rect" href="overview/sift.html">SIFT</a> – Scale Invariant Feature Transform</li>
<li><a shape="rect" href="overview/mser.html">MSER</a> – Maximally Stable Extremal Regions</li>
<li><a shape="rect" href="overview/ikm.html">IKM</a> – Integer optimized <em>k</em>-means</li>
<li><a shape="rect" href="overview/hikm.html">HIKM</a> – Hierarchical <em>k</em>-means</li>
<li><a shape="rect" href="overview/aib.html">AIB</a> – Agglomerative Information Bottleneck</li>
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<h1>BibTeX entry</h1>
<pre style="font-size: .8em; color: black; margin-bottom: 0em;" xml:space="preserve">
@misc{vedaldi08vlfeat,
Author = {A. Vedaldi and B. Fulkerson},
Title = {{VLFeat}: An Open and Portable Library
of Computer Vision Algorithms},
Year = {2008},
Howpublished = {\url{http://www.vlfeat.org/}}
</pre>
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<h2 style="clear:left;">Acknowledgments</h2>
<p>Part of this work was supported by
the <a shape="rect" href="http://vision.ucla.edu">UCLA Vision Lab</a> and
the <a shape="rect" href="http://www.robots.ox.ac.uk/~vgg/">Oxford VGG
Lab</a>. The authors would like to thank the many colleagues that
have contributed to VLFeat by testing and providing helpful
suggestions and comments.</p>
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© 2005-09 Andrea Vedaldi and Brian Fulkerson
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