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<group> |
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<p>The <b>VLFeat</b> <a |
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href="http://www.gnu.org/licenses/old-licenses/gpl-2.0.html">open |
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source</a> library implements popular computer vision algorithms |
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including |
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<em>SIFT</em>, <em>MSER</em>, <em>k-means</em>, <em>hierarchical |
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k-means</em>, <em>agglomerative information bottleneck, and quick shift</em>. |
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It is written in C for efficiency and compatibility, with interfaces in |
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MATLAB for ease of use, and detailed documentation throughout. It supports |
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<em>Windows</em>, <em>Mac OS X</em>, and <em>Linux</em>. The latest version of |
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VLFeat is <include src="version.html" />.</p> |
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<div class="box" style="height:7em;"> |
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<img src="%pathto:root;images/down.png" alt="Download" style="float:left;"/> |
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<h1>Download</h1> |
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<ul> |
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<li><b><a href="%pathto:root;download/vlfeat-0.9.4-bin.tar.gz">VLFeat 0.9.4</a></b> (Windows, Mac, Linux)</li> |
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<li><a href="%pathto:download;">Installation, source code, and more ...</a></li> |
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<li><a href="http://github.com/vlfeat/vlfeat/tree/master">Git repository</a></li> |
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</ul> |
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</div> |
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<div class="box" style="height:7em;"> |
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<img src="%pathto:root;images/help.png" alt="Help" style="float:left;"/> |
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<h1>Reference</h1> |
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<ul> |
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<li><a href="%pathto:mdoc;">MATLAB commands</a></li> |
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<li><a href="%pathto:api;">C API</a> with algorithm descriptions</li> |
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<li><a href="%pathto:man;">Command line tools</a></li> |
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</ul> |
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</div><div class="box" style="height:12em;"> |
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<h1>Tutorials</h1> |
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<ul> |
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<li><a href="%pathto:tut.sift;">SIFT</a> – Scale Invariant Feature Transform</li> |
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<li><a href="%pathto:tut.mser;">MSER</a> – Maximally Stable Extremal Regions</li> |
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<li><a href="%pathto:tut.ikm;">IKM</a> – Integer optimized <em>k</em>-means</li> |
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<li><a href="%pathto:tut.hikm;">HIKM</a> – Hierarchical <em>k</em>-means</li> |
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<li><a href="%pathto:tut.aib;">AIB</a> – Agglomerative Information Bottleneck</li> |
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<li><a href="%pathto:tut.qs;">Quick shift</a> – Quick shift mode seeking</li> |
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<li><a href="%pathto:tut;">More ...</a></li> |
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</ul> |
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</div> |
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<div class="box" style="height:12em;"> |
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<h1>BibTeX entry</h1> |
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<pre style="font-size: .8em; color: black; margin-bottom: 0em;"> |
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@misc{vedaldi08vlfeat, |
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Author = {A. Vedaldi and B. Fulkerson}, |
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Title = {{VLFeat}: An Open and Portable Library |
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of Computer Vision Algorithms}, |
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Year = {2008}, |
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Howpublished = {\url{http://www.vlfeat.org/}} |
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</pre> |
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</div> |
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<div class="clear">&nsbp;</div> |
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<h2 style="clear:left;">Acknowledgments</h2> |
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<p>Part of this work was supported by |
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the <a href="http://vision.ucla.edu">UCLA Vision Lab</a> and |
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the <a href="http://www.robots.ox.ac.uk/~vgg/">Oxford VGG |
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Lab</a>. The authors would like to thank the many colleagues that |
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have contributed to VLFeat by testing and providing helpful |
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suggestions and comments.</p> |
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</group> |
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