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<title>COLMAP — COLMAP 3.12.0.dev0 documentation</title>
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COLMAP
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3.12.0.dev0
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<section id="colmap">
<h1>COLMAP<a class="headerlink" href="#colmap" title="Link to this heading"></a></h1>
<figure class="align-center align-default" id="id2">
<img alt="Sparse reconstruction of central Rome." src="_images/sparse.png" />
<figcaption>
<p><span class="caption-text">Sparse model of central Rome using 21K photos produced by COLMAP’s SfM
pipeline.</span><a class="headerlink" href="#id2" title="Link to this image"></a></p>
</figcaption>
</figure>
<figure class="align-center align-default" id="id3">
<img alt="Dense reconstruction of landmarks." src="_images/dense.png" />
<figcaption>
<p><span class="caption-text">Dense models of several landmarks produced by COLMAP’s MVS pipeline.</span><a class="headerlink" href="#id3" title="Link to this image"></a></p>
</figcaption>
</figure>
<section id="about">
<h2>About<a class="headerlink" href="#about" title="Link to this heading"></a></h2>
<p>COLMAP is a general-purpose Structure-from-Motion (SfM) and Multi-View Stereo
(MVS) pipeline with a graphical and command-line interface. It offers a wide
range of features for reconstruction of ordered and unordered image collections.
The software is licensed under the new BSD license. If you use this project for
your research, please cite:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="nd">@inproceedings</span><span class="p">{</span><span class="n">schoenberger2016sfm</span><span class="p">,</span>
<span class="n">author</span><span class="o">=</span><span class="p">{</span><span class="n">Sch</span>\<span class="s2">"</span><span class="si">{o}</span><span class="s2">nberger, Johannes Lutz and Frahm, Jan-Michael},</span>
<span class="n">title</span><span class="o">=</span><span class="p">{</span><span class="n">Structure</span><span class="o">-</span><span class="n">from</span><span class="o">-</span><span class="n">Motion</span> <span class="n">Revisited</span><span class="p">},</span>
<span class="n">booktitle</span><span class="o">=</span><span class="p">{</span><span class="n">Conference</span> <span class="n">on</span> <span class="n">Computer</span> <span class="n">Vision</span> <span class="ow">and</span> <span class="n">Pattern</span> <span class="n">Recognition</span> <span class="p">(</span><span class="n">CVPR</span><span class="p">)},</span>
<span class="n">year</span><span class="o">=</span><span class="p">{</span><span class="mi">2016</span><span class="p">},</span>
<span class="p">}</span>
<span class="nd">@inproceedings</span><span class="p">{</span><span class="n">schoenberger2016mvs</span><span class="p">,</span>
<span class="n">author</span><span class="o">=</span><span class="p">{</span><span class="n">Sch</span>\<span class="s2">"</span><span class="si">{o}</span><span class="s2">nberger, Johannes Lutz and Zheng, Enliang and Pollefeys, Marc and Frahm, Jan-Michael},</span>
<span class="n">title</span><span class="o">=</span><span class="p">{</span><span class="n">Pixelwise</span> <span class="n">View</span> <span class="n">Selection</span> <span class="k">for</span> <span class="n">Unstructured</span> <span class="n">Multi</span><span class="o">-</span><span class="n">View</span> <span class="n">Stereo</span><span class="p">},</span>
<span class="n">booktitle</span><span class="o">=</span><span class="p">{</span><span class="n">European</span> <span class="n">Conference</span> <span class="n">on</span> <span class="n">Computer</span> <span class="n">Vision</span> <span class="p">(</span><span class="n">ECCV</span><span class="p">)},</span>
<span class="n">year</span><span class="o">=</span><span class="p">{</span><span class="mi">2016</span><span class="p">},</span>
<span class="p">}</span>
</pre></div>
</div>
<p>If you use the image retrieval / vocabulary tree engine, please also cite:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="nd">@inproceedings</span><span class="p">{</span><span class="n">schoenberger2016vote</span><span class="p">,</span>
<span class="n">author</span><span class="o">=</span><span class="p">{</span><span class="n">Sch</span>\<span class="s2">"</span><span class="si">{o}</span><span class="s2">nberger, Johannes Lutz and Price, True and Sattler, Torsten and Frahm, Jan-Michael and Pollefeys, Marc},</span>
<span class="n">title</span><span class="o">=</span><span class="p">{</span><span class="n">A</span> <span class="n">Vote</span><span class="o">-</span><span class="ow">and</span><span class="o">-</span><span class="n">Verify</span> <span class="n">Strategy</span> <span class="k">for</span> <span class="n">Fast</span> <span class="n">Spatial</span> <span class="n">Verification</span> <span class="ow">in</span> <span class="n">Image</span> <span class="n">Retrieval</span><span class="p">},</span>
<span class="n">booktitle</span><span class="o">=</span><span class="p">{</span><span class="n">Asian</span> <span class="n">Conference</span> <span class="n">on</span> <span class="n">Computer</span> <span class="n">Vision</span> <span class="p">(</span><span class="n">ACCV</span><span class="p">)},</span>
<span class="n">year</span><span class="o">=</span><span class="p">{</span><span class="mi">2016</span><span class="p">},</span>
<span class="p">}</span>
</pre></div>
</div>
<p>The latest source code is available at <a class="reference external" href="https://github.com/colmap/colmap">GitHub</a>. COLMAP builds on top of existing works and
when using specific algorithms within COLMAP, please also cite the original
authors, as specified in the source code.</p>
</section>
<section id="download">
<h2>Download<a class="headerlink" href="#download" title="Link to this heading"></a></h2>
<p>Executables and other resources can be downloaded from <a class="reference external" href="https://demuc.de/colmap/">https://demuc.de/colmap/</a>.</p>
</section>
<section id="getting-started">
<h2>Getting Started<a class="headerlink" href="#getting-started" title="Link to this heading"></a></h2>
<ol class="arabic simple">
<li><p>Download the <a class="reference external" href="https://demuc.de/colmap/">pre-built binaries</a> or build the
library manually from <a class="reference external" href="https://github.com/colmap/colmap">source</a>
(see <a class="reference internal" href="install.html#installation"><span class="std std-ref">Installation</span></a>).</p></li>
<li><p>Download one of the provided datasets (see <a class="reference internal" href="datasets.html#datasets"><span class="std std-ref">Datasets</span></a>)
or use your own images.</p></li>
<li><p>Use the <strong>automatic reconstruction</strong> to easily build models
with a single click (see <a class="reference internal" href="tutorial.html#quick-start"><span class="std std-ref">Quickstart</span></a>).</p></li>
</ol>
</section>
<section id="support">
<h2>Support<a class="headerlink" href="#support" title="Link to this heading"></a></h2>
<p>Please, use <a class="reference external" href="https://github.com/colmap/colmap/discussions">GitHub Discussions</a>
for questions and the <a class="reference external" href="https://github.com/colmap/colmap">GitHub issue tracker</a>
for bug reports, feature requests/additions, etc.</p>
</section>
<section id="acknowledgments">
<h2>Acknowledgments<a class="headerlink" href="#acknowledgments" title="Link to this heading"></a></h2>
<p>COLMAP was originally written by <a class="reference external" href="https://demuc.de/">Johannes Schönberger</a> with
funding provided by his PhD advisors Jan-Michael Frahm and Marc Pollefeys.
The team of core project maintainers currently includes
<a class="reference external" href="https://github.com/ahojnnes">Johannes Schönberger</a>,
<a class="reference external" href="https://github.com/sarlinpe">Paul-Edouard Sarlin</a>, and
<a class="reference external" href="https://github.com/B1ueber2y">Shaohui Liu</a>.</p>
<p>The Python bindings in PyCOLMAP were originally added by
<a class="reference external" href="https://github.com/mihaidusmanu">Mihai Dusmanu</a>,
<a class="reference external" href="https://github.com/Phil26AT">Philipp Lindenberger</a>, and
<a class="reference external" href="https://github.com/sarlinpe">Paul-Edouard Sarlin</a>.</p>
<p>The project has also benefitted from countless community contributions, including
bug fixes, improvements, new features, third-party tooling, and community
support (special credits to <a class="reference external" href="https://tsattler.github.io">Torsten Sattler</a>).</p>
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