Enhancing Egocentric 3D Pose Estimation with Third Person Views. (arXiv:2201.02017v3 [cs.CV] UPDATED)

Web: http://arxiv.org/abs/2201.02017

In this paper, we propose a novel approach to enhance the 3D body pose
estimation of a person computed from videos captured from a single wearable
camera. The key idea is to leverage high-level features linking first- and
third-views in a joint embedding space. To learn such embedding space we
introduce First2Third-Pose, a new paired synchronized dataset of nearly 2,000
videos depicting human activities captured from both first- and third-view
perspectives. We explicitly consider spatial- and motion-domain features,
combined using …

3d arxiv cv person