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3D Computer Vision Framework
| Date | Stars |
|---|---|
| 2026-07-24 | 3460 |
| 2026-07-25 | 3460 |
| 2026-07-28 | 3462 |
| 2026-07-30 | 3462 |
| 2026-07-31 | 3462 |
| 2026-08-06 | 3462 |
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# 
[AliceVision](http://alicevision.github.io) is a Photogrammetric Computer Vision Framework which provides a 3D Reconstruction and Camera Tracking algorithms.
AliceVision aims to provide strong software basis with state-of-the-art computer vision algorithms that can be tested, analyzed and reused.
The project is a result of collaboration between academia and industry to provide cutting-edge algorithms with the robustness and the quality required for production usage.
Learn more details about the pipeline and tools based on it on [AliceVision website](http://alicevision.github.io).
See [results of the pipeline on sketchfab](http://sketchfab.com/AliceVision).
[](https://deepwiki.com/alicevision/AliceVision)
## Photogrammetry
Photogrammetry is the science of making measurements from photographs.
It infers the geometry of a scene from a set of unordered photographies or videos.
Photography is the projection of a 3D scene onto a 2D plane, losing depth information.
The goal of photogrammetry is to reverse this process.
See the [presentation of the pipeline steps](http://alicevision.github.io/#photogrammetry).
## License
The project is released under MPLv2, see [**COPYING.md**](COPYING.md).
## Citation
If you use this project for a publication, please cite the [paper](https://hal.archives-ouvertes.fr/hal-03351139):
```
@inproceedings{alicevision2021,
title={{A}liceVision {M}eshroom: An open-source {3D} reconstruction pipeline},
author={Carsten Griwodz and Simone Gasparini and Lilian Calvet and Pierre Gurdjos and Fabien Castan and Benoit Maujean and Gregoire De Lillo and Yann Lanthony},
booktitle={Proceedings of the 12th ACM Multimedia Systems Conference - {MMSys '21}},
doi = {10.1145/3458305.3478443},
publisher = {ACM Press},
year = {2021}
}
```
## Bibliography
See [**Bibliography**](BIBLIOGRAPHY.md) for the list of research papers and tools used in this project.
## Get the project
Get the source code: `git clone --recursive git://github.com/alicevision/AliceVision`
See [**INSTALL.md**](INSTALL.md) to build the project.
Continuous integration status: [](https://github.com/alicevision/AliceVision/actions/workflows/continuous-integration.yml)
## Launch 3D reconstructions
Use [Meshroom](https://github.com/alicevision/Meshroom) to launch the AliceVision pipeline.
- Meshroom provides a User Interface to create 3D reconstructions.
- Meshroom provides a command line to launch all the steps of the pipeline.
- Meshroom is written in python and can be used to create your own python scripts to customize the pipeline or create custom automation.
The User Interface of Meshroom relies on Qt and PySide. The Meshroom engine and command line has no dependency to Qt.
## Contact
Use the public mailing-list to ask questions or request features. It is also a good place for informal discussions like sharing results, interesting related technologies or publications:
> [[email protected]](mailto:[email protected])
> [http://groups.google.com/group/alicevision](http://groups.google.com/group/alicevision)
You can also contact the core team privately on: [[email protected]](mailto:[email protected]).
## Contributing
[](https://bestpractices.coreinfrastructure.org/projects/2995)
Beyond open source interest to foster developments, open source is a way of life. The project has started as a collaborative project and aims to continue. We love to exchange ideas, improve ourselves while making improvements for other people and discover new colExcerpt of 6,268 characters
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:cf32636a5a2360bf, topic:computer-vision, topic:3d-reconstruction, desc:computer vision