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https://github.com/openmvg/openmvg
open Multiple View Geometry library. Basis for 3D computer vision and Structure from Motion.
https://github.com/openmvg/openmvg
3d-reconstruction computer-vision drone geometry multiple-view-geometry openmvg photogrammetry sfm structure-from-motion
Last synced: 5 days ago
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open Multiple View Geometry library. Basis for 3D computer vision and Structure from Motion.
- Host: GitHub
- URL: https://github.com/openmvg/openmvg
- Owner: openMVG
- License: mpl-2.0
- Created: 2013-02-08T16:01:08.000Z (almost 12 years ago)
- Default Branch: develop
- Last Pushed: 2024-10-24T00:54:41.000Z (about 2 months ago)
- Last Synced: 2024-10-29T15:07:48.672Z (about 2 months ago)
- Topics: 3d-reconstruction, computer-vision, drone, geometry, multiple-view-geometry, openmvg, photogrammetry, sfm, structure-from-motion
- Language: C++
- Homepage:
- Size: 29.8 MB
- Stars: 5,719
- Watchers: 272
- Forks: 1,676
- Open Issues: 279
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Authors: AUTHORS
Awesome Lists containing this project
README
OpenMVG (open Multiple View Geometry)
=====================================
| **License** | **Documentation** | Continuous Integration (Linux/MacOs/Windows) |Build | Code Quality | Chat |
|:-:|:-:|:-:|:-:|:-:|:-:|
| [](https://github.com/openMVG/openMVG/blob/master/LICENSE) | [](http://openmvg.readthedocs.org/en/latest)
[Wiki](https://github.com/openMVG/openMVG/wiki) | [](https://github.com/openMVG/openMVG/actions/workflows/compile_and_run_test.yml) | [local/docker build tutorial ](https://github.com/openMVG/openMVG/blob/master/BUILD.md)| [](https://github.com/openMVG/openMVG/actions/workflows/codeql.yml)
[](https://www.codefactor.io/repository/github/openmvg/openmvg) | [](https://gitter.im/openMVG/Lobby) |
**Our Mission**
- Extend awareness of the power of 3D reconstruction from images/photogrammetry by developing a C++ framework.
**Our Vision**
- Simplify reproducible research with easy-to-read and accurate implementation of state of the art and "classic" algorithms.
**Our Credo**
- "Keep it simple, keep it maintainable".
- OpenMVG is designed to be easy to read, learn, modify and use.
- Thanks to its strict test-driven development and samples, the library allows to build trusted larger systems.
**Our codebase and pipeline**
OpenMVG provides an end-to-end 3D reconstruction from images framework compounded of libraries, binaries, and pipelines.
- **The libraries** provide easy access to features like: images manipulation, features description and matching, feature tracking, camera models, multiple-view-geometry, robust-estimation, structure-from-motion algorithms, ...
- **The binaries** solve unit tasks that a pipeline could require: scene initialization, feature detection & matching and structure-from-motion reconstruction, export the reconstructed scene to others Multiple-View-Stereovision framework to compute dense point clouds or textured meshes.
- **The pipelines** are created by chaining various binaries to compute image matching relation, solve the Structure from Motion problem (reconstruction, triangulation, localization) and ...
OpenMVG is developed in C++ and runs on Android, iOS, Linux, macOS, and Windows.
**Tutorials**
- See [Wiki](https://github.com/openMVG/openMVG/wiki)
- [OpenMVG Data Structure](https://github.com/openMVG/openMVG/wiki/OpenMVG-data-structures)
- [Using OpenMVG as a library](https://github.com/openMVG/openMVG/blob/develop/BUILD.md#using-openmvg-as-a-third-party-library-dependency-with-cmake)
- [Using OpenMVG on your image dataset](https://github.com/openMVG/openMVG/wiki/OpenMVG-on-your-image-dataset)
- ...
**More information**
- [Authors](#authors)
- [Contact](#contact)
- [Citations](#citations)
- [Acknowledgements](#acknowledgements)
## Authors
See [Authors](https://github.com/openMVG/openMVG/raw/master/AUTHORS) text file
## Contact
openmvg-team[AT]googlegroups.com
## Citations
We are recommending citing `OpenMVG` if you are using the whole library or the adequate paper if you use only a submodule `AContrario Ransac [3], AContrario
SfM [1], GlobalSfM [4] or Tracks [2]`:
```
@inproceedings{moulon2016openmvg,
title={Open{MVG}: Open multiple view geometry},
author={Moulon, Pierre and Monasse, Pascal and Perrot, Romuald and Marlet, Renaud},
booktitle={International Workshop on Reproducible Research in Pattern Recognition},
pages={60--74},
year={2016},
organization={Springer}
}
```
[1] Moulon Pierre, Monasse Pascal and Marlet Renaud. ACCV 2012.
[Adaptive Structure from Motion with a contrario model estimation.](http://hal.archives-ouvertes.fr/index.php?halsid=1n2qdqiv2a0l5eq7qpos9us752&view_this_doc=hal-00769266&version=1)
```
@inproceedings{Moulon2012,
doi = {10.1007/978-3-642-37447-0_20},
year = {2012},
publisher = {Springer Berlin Heidelberg},
pages = {257--270},
author = {Pierre Moulon and Pascal Monasse and Renaud Marlet},
title = {Adaptive Structure from Motion with a~Contrario Model Estimation},
booktitle = {Proceedings of the Asian Computer Vision Conference (ACCV 2012)}
}
```
[2] Moulon Pierre and Monasse Pascal. CVMP 2012.
[Unordered feature tracking made fast and easy.](http://hal.archives-ouvertes.fr/index.php?halsid=ggdarhl8cv1j6ohq2073eok8q3&view_this_doc=hal-00769267&version=1)
```
@inproceedings{moulon2012unordered,
title={Unordered feature tracking made fast and easy},
author={Moulon, Pierre and Monasse, Pascal},
booktitle={CVMP 2012},
pages={1},
year={2012}
}
```
[3] Moisan Lionel, Moulon Pierre and Monasse Pascal. IPOL 2012.
[Automatic Homographic Registration of a Pair of Images, with A Contrario Elimination of Outliers.](http://dx.doi.org/10.5201/ipol.2012.mmm-oh)
```
@article{moisan2012automatic,
title={Automatic homographic registration of a pair of images, with a contrario elimination of outliers},
author={Moisan, Lionel and Moulon, Pierre and Monasse, Pascal},
journal={Image Processing On Line},
volume={2},
pages={56--73},
year={2012}
}
```
[4] Moulon Pierre, Monasse Pascal, and Marlet Renaud. ICCV 2013.
[Global Fusion of Relative Motions for Robust, Accurate and Scalable Structure from Motion.](http://imagine.enpc.fr/~moulonp/publis/iccv2013/index.html)
```
@inproceedings{moulon2013global,
title={Global fusion of relative motions for robust, accurate and scalable structure from motion},
author={Moulon, Pierre and Monasse, Pascal and Marlet, Renaud},
booktitle={Proceedings of the IEEE International Conference on Computer Vision},
pages={3248--3255},
year={2013}
}
```
## Acknowledgements
openMVG authors would like to thanks libmv authors for providing an inspiring
base to design openMVG. Authors also would like to thanks [Mikros Image](http://www.mikrosimage.eu/)
and [LIGM-Imagine laboratory](http://imagine.enpc.fr/) for support and authorization to make this
library an opensource project.