4D-OR

[linukc]

4D-OR includes a total of 6734 scenes, recorded by six calibrated RGB-D Kinect sensors 1 mounted to the ceiling of the OR, with one frame-per-second, providing synchronized RGB and depth images. We provide fused point cloud sequences of entire scenes, automatically annotated human 6D poses and 3D bounding boxes for OR objects. Furthermore, we provide SSG annotations for each step of the surgery together with the clinical roles of all the humans in the scenes, e.g., nurse, head surgeon, anesthesiologist.

Paper Code

@inproceedings{Özsoy2022_4D_OR,
    title={4D-OR: Semantic Scene Graphs for OR Domain Modeling},
    author={Ege Özsoy, Evin Pınar Örnek, Ulrich Eck, Tobias Czempiel, Federico Tombari, Nassir Navab},
    booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention},
    year={2022},
    organization={Springer}