Skip to content

SfM Flow: a comprehensive toolset for the evaluation of 3D reconstruction pipelines. To cite this Original Software Publication: https://www.sciencedirect.com/science/article/pii/S2352711021001692

License

Notifications You must be signed in to change notification settings

ElsevierSoftwareX/SOFTX_2020_51

 
 

Repository files navigation

SfM Flow

SfM Flow is a comprehensive toolset for the evaluation of 3D reconstruction pipelines. It provides tools for the creation of datasets composed by synthetic images, the execution of 3D reconstruction Structure from Motion (SfM) pipelines, and the evaluation of the obtained results. SfM Flow integrates all these features in Blender.

Requirements

  • Blender 2.80.75 or later   -   tested on Ubuntu 18.04, Windows 10 and macOS Mojave
  • ExifTool v10 or later
  • A Structure from Motion 3D reconstruction pipeline, see pipeline support

Getting started

See the Getting started wiki page.

License

MIT License

Documentation

Read the wiki for further details.

Citation

If you use this software, please cite these papers:

@article{bianco-sfm2018,
    author = {Bianco, Simone and Ciocca, Gianluigi and Marelli, Davide},
    year = {2018},
    title = {Evaluating the Performance of Structure from Motion Pipelines},
    volume = {4},
    number = {8},
    journal = {Journal of Imaging},
    doi = {10.3390/jimaging4080098},
    projectref = {http://www.ivl.disco.unimib.it/activities/evaluating-the-performance-of-structure-from-motion-pipelines/}
}
@inproceedings{bianco2018blender-plugin,
    author = {Marelli, Davide and Bianco, Simone and Celona, Luigi and Ciocca, Gianluigi},
    year = {2018},
    pages = {1-5},
    title = {A Blender plug-in for comparing Structure from Motion pipelines},
    organization = {IEEE},
    booktitle = {2018 IEEE 8th International Conference on Consumer Electronics - Berlin (ICCE-Berlin)},
    doi = {10.1109/ICCE-Berlin.2018.8576196},
    issn = {2166-6822}
}

Packages

No packages published

Languages

  • Python 100.0%