Pose2Room: Understanding 3D Scenes from Human Activities. (arXiv:2112.03030v2 [cs.RO] UPDATED)

With wearable IMU sensors, one can estimate human poses from wearable devices
without requiring visual input~\cite{von2017sparse}. In this work, we pose the
question: Can we reason about object structure in real-world environments
solely from human trajectory information? Crucially, we observe that human
motion and interactions tend to give strong information about the objects in a
scene -- for instance a person sitting indicates the likely presence of a chair
or sofa. To this end, we propose P2R-Net to learn a …

3d 3d scenes arxiv human understanding