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EventHands: Real-Time Neural 3D Hand Pose Estimation from an Event Stream [article]

Viktor Rudnev and Vladislav Golyanik and Jiayi Wang and Hans-Peter Seidel and Franziska Mueller and Mohamed Elgharib and Christian Theobalt
2021 arXiv   pre-print
3D hand pose estimation from monocular videos is a long-standing and challenging problem, which is now seeing a strong upturn.  ...  We thus design a new neural approach which accepts a new event stream representation suitable for learning, which is trained on newly-generated synthetic event streams and can generalise to real data.  ...  We now describe our neural approach for 3D hand pose prediction from event streams for which an overview is shown in Fig. 2 .  ... 
arXiv:2012.06475v3 fatcat:fx5frkvw75botn7sjurvruwpgu