RIO: 3D Object Instance Re-Localization in Changing Indoor Environments (ICCV Oral)

Johanna Wald     Armen Avetisyan     Nassir Navab     Federico Tombari*     Matthias Nießner*    

Technical Unviersity of Munich    Google
* Authors share senior authorship.




3R-Scan is a large scale, real-world dataset which contains multiple 3D snapshots of naturally changing indoor environments, designed for benchmarking emerging tasks such as long-term SLAM, scene change detection and object instance re-localization.

Paper

International Conference on Computer Vision (ICCV 2019)
Paper | arXiv | Supplemental Material
  @inproceedings{Wald2019RIO,
    title={RIO: 3D Object Instance Re-Localization in Changing Indoor Environments},
    author={Johanna Wald, Armen Avetisyan, Nassir Navab, Federico Tombari, Matthias Niessner},
    journal={Proceedings IEEE International Conference on Computer Vision (ICCV)},
    year={2019}
  }

Dataset Download

Download: If you would like to download the 3RScan data, please fill out this form 3RScan Terms of Use.

Contact

For questions please contact us via our group email the 3RScan group email 3RScan@googlegroups.com. For more information regarding the 3RScan dataset, please see our git repo (coming soon).