InLoc: Indoor Visual Localization with Dense Matching and View Synthesis

Database images and pointcloud

• cutouts.tar.gz : RGB perspective images and depths generated from the original RGBD scan in [1]
• cutouts_imageonly.tar.bz2 : extract only RGB perspective images for saving memory.
• scans.tar.gz : Matlab binary files that contain pointcloud information extracted from the original PTX files in [1]

Contact

Please send bug reports and suggestions to Hajime Taira (htaira[at]ok.ctrl.titech.ac.jp)

LICENSE

If you click the links above, you confirm and agree the LICENSE statements bellow.

InLoc dataset is made available under the Open Database License: http://opendatacommons.org/licenses/odbl/1.0/. Any rights in individual contents of the database are licensed under the Database Contents License: http://opendatacommons.org/licenses/dbcl/1.0/
It contains information from Wustl Indoor RGBD dataset, which is made available here under the Open Database License http://opendatacommons.org/licenses/odbl/1.0/. 
If you use our data, please cite our paper: 

@inproceedings{taira2018inloc, 
  title={{InLoc}: Indoor Visual Localization with Dense Matching and View Synthesis}, 
  author={Taira, Hajime and Okutomi, Masatoshi and Sattler, Torsten and Cimpoi, Mircea and Pollefeys, Marc and Sivic, Josef and Pajdla, Tomas and Torii, Akihiko}, 
  booktitle={{CVPR}}, 
  year={2018} 
}

and the paper presenting original Wustl Indoor RGBD dataset: 

@inproceedings{wijmans17rgbd,
  author = {Erik Wijmans and
            Yasutaka Furukawa},
  title = {Exploiting 2D Floorplan for Building-scale Panorama RGBD Alignment},
  booktitle = {Computer Vision and Pattern Recognition, {CVPR}},
  year = {2017},
  url = {http://cvpr17.wijmans.xyz/CVPR2017-0111.pdf}
}


Wustl Indoor RGBD dataset is made available under the Open Database License: http://opendatacommons.org/licenses/odbl/1.0/. Any rights in individual contents of the database are licensed under the Database Contents License: http://opendatacommons.org/licenses/dbcl/1.0/

If you use their data, please cite their paper:

@inproceedings{wijmans17rgbd,
  author = {Erik Wijmans and
            Yasutaka Furukawa},
  title = {Exploiting 2D Floorplan for Building-scale Panorama RGBD Alignment},
  booktitle = {Computer Vision and Pattern Recognition, {CVPR}},
  year = {2017},
  url = {http://cvpr17.wijmans.xyz/CVPR2017-0111.pdf}
}