xR-EgoPose is a large-scale photorealistic synthetic dataset for 3D human pose estimation from an egocentric perspective. The dataset consists of approximately 380,000 real egocentric camera images covering a variety of indoor and outdoor spaces.

Citation

@inproceedings{tome2019xr,
title={xR-EgoPose: Egocentric 3D Human Pose from an HMD Camera},
author={Tome, Denis and Peluse, Patrick and Agapito, Lourdes and Badino, Hernan},
booktitle={Proceedings of the IEEE International Conference on Computer Vision},
pages={7728--7738},
year={2019}
}
@ARTICLE{tome2020self,
author={D. {Tome} and T. {Alldieck} and P. {Peluse} and G. {Pons-Moll} and L. {Agapito} and H. {Badino} and F. {De la Torre}},
journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
title={SelfPose: 3D Egocentric Pose Estimation from a Headset Mounted Camera},
year={2020},
volume={},
number={},
pages={1-1},
doi={10.1109/TPAMI.2020.3029700}
}