Intellectual property

Can I sell/use 3D models created with Meshroom? Can media created with Meshroom be used for advertising, publications, training purposes, etc.?

Yes. The intellectual property of media created with Meshroom belongs to you.

What data will you keep and how is it protected?

Meshroom (software) does not collect or share (personal) data that might be associated with the media used or created by Meshroom. How your data is shared is up to you.

Are there any specific license agreements or restrictions for corporate use?

Meshroom is released under Mozilla Public License Version 2.0. The licence agreement can be found here: https://github.com/alicevision/meshroom/blob/develop/LICENSE-MPL2.md

Here you can find a more practical explanation of what you can do with this licence https://tldrlegal.com/license/mozilla-public-license-2.0-(mpl-2)

Note that any modifications of the source code that you might create or to which you might contribute, must be under the terms of this same license.

Do I need to give credits?

• For media created in Meshroom:

No, you do not need to give credit to Meshroom for media created with the software.

If you like the software you are free to credit it in you work.

• You can cite Meshroom in general:

@Misc{Meshroom,
  Title                    = {{Meshroom: A 3D reconstruction software.}},
  Author                   = {AliceVision},
  Year                     = {2018},
  url = {https://github.com/alicevision/meshroom}
}

• If you use this project (Alicevision) for research, please cite:

  P. Moulon, P. Monasse and R. Marlet. Adaptive Structure from Motion with a contrario model estimation. ACCV 2012.

    @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)}
    }

M. Jancosek, T. Pajdla. Multi-view reconstruction preserving weakly-supported surfaces. CVPR 2011.

    @inproceedings{Jancosek2011,
      doi = {10.1109/cvpr.2011.5995693},
      url = {https://doi.org/10.1109/cvpr.2011.5995693},
      year  = {2011},
      month = {jun},
      publisher = {{IEEE}},
      author = {Michal Jancosek and Tomas Pajdla},
      title = {Multi-view reconstruction preserving weakly-supported surfaces},
      booktitle = {{CVPR} 2011}
    }