Real-Time 3D Hand Pose Estimation with 3D Convolutional Neural Networks

In this paper, we present a novel method for real-time 3D hand pose estimation from single depth images using 3D Convolutional Neural Networks (CNNs). Image-based features extracted by 2D CNNs are not directly suitable for 3D hand pose estimation due to the lack of 3D spatial information. Our propos...

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Bibliographische Detailangaben

Veröffentlicht in:	IEEE transactions on pattern analysis and machine intelligence. - 1979. - 41(2019), 4 vom: 20. Apr., Seite 956-970
1. Verfasser:	Ge, Liuhao (VerfasserIn)
Weitere Verfasser:	Liang, Hui, Yuan, Junsong, Thalmann, Daniel
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2019
Zugriff auf das übergeordnete Werk:	IEEE transactions on pattern analysis and machine intelligence
Schlagworte:	Journal Article Research Support, Non-U.S. Gov't