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109 lines
3.2 KiB
109 lines
3.2 KiB
COLMAP
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======
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.. figure:: images/sparse.png
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:alt: Sparse reconstruction of central Rome.
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:figclass: align-center
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Sparse model of central Rome using 21K photos produced by COLMAP's SfM
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pipeline.
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.. figure:: images/dense.png
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:alt: Dense reconstruction of landmarks.
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:figclass: align-center
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Dense models of several landmarks produced by COLMAP's MVS pipeline.
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About
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-----
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COLMAP is a general-purpose Structure-from-Motion (SfM) and Multi-View Stereo
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(MVS) pipeline with a graphical and command-line interface. It offers a wide
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range of features for reconstruction of ordered and unordered image collections.
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The software is licensed under the new BSD license. If you use this project for
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your research, please cite::
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@inproceedings{schoenberger2016sfm,
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author={Sch\"{o}nberger, Johannes Lutz and Frahm, Jan-Michael},
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title={Structure-from-Motion Revisited},
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booktitle={Conference on Computer Vision and Pattern Recognition (CVPR)},
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year={2016},
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}
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@inproceedings{schoenberger2016mvs,
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author={Sch\"{o}nberger, Johannes Lutz and Zheng, Enliang and Pollefeys, Marc and Frahm, Jan-Michael},
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title={Pixelwise View Selection for Unstructured Multi-View Stereo},
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booktitle={European Conference on Computer Vision (ECCV)},
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year={2016},
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}
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If you use the image retrieval / vocabulary tree engine, please also cite::
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@inproceedings{schoenberger2016vote,
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author={Sch\"{o}nberger, Johannes Lutz and Price, True and Sattler, Torsten and Frahm, Jan-Michael and Pollefeys, Marc},
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title={A Vote-and-Verify Strategy for Fast Spatial Verification in Image Retrieval},
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booktitle={Asian Conference on Computer Vision (ACCV)},
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year={2016},
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}
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The latest source code is available at `GitHub
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<https://github.com/colmap/colmap>`_. COLMAP builds on top of existing works and
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when using specific algorithms within COLMAP, please also cite the original
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authors, as specified in the source code.
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Download
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--------
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Executables and other resources can be downloaded from https://demuc.de/colmap/.
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Getting Started
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---------------
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1. Download the `pre-built binaries <https://demuc.de/colmap/>`_ or build the
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library manually from `source <https://github.com/colmap/colmap>`_
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(see :ref:`Installation <installation>`).
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2. Download one of the provided datasets (see :ref:`Datasets <datasets>`)
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or use your own images.
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3. Use the **automatic reconstruction** to easily build models
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with a single click (see :ref:`Quickstart <quick-start>`).
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Support
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-------
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Please, use the `Google Group <https://groups.google.com/forum/#!forum/colmap>`_
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(colmap@googlegroups.com) for questions and the `GitHub issue tracker
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<https://github.com/colmap/colmap>`_ for bug reports, feature
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requests/additions, etc.
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Acknowledgments
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---------------
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The library was written by `Johannes L. Schönberger <https://demuc.de/>`_.
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Funding was provided by his PhD advisors `Jan-Michael Frahm
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<http://frahm.web.unc.edu/>`_ and `Marc Pollefeys
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<https://people.inf.ethz.ch/pomarc/>`_.
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.. toctree::
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:hidden:
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:maxdepth: 2
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install
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tutorial
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database
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cameras
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format
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datasets
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gui
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cli
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faq
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changelog
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contribution
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license
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bibliography
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