Weakly Supervised Learning for Single Depth-Based Hand Shape Recovery
Recent emerging technologies such AR/VR and HCI are drawing high demand on more comprehensive hand shape understanding, requiring not only 3D hand skeleton pose but also hand shape geometry. In this paper, we propose a deep learning framework to produce 3D hand shape from a single depth image. To ad...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 30(2021) vom: 17., Seite 532-545
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| 1. Verfasser: |
Deng, Xiaoming
(VerfasserIn) |
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| Weitere Verfasser: |
Zhu, Yuying,
Zhang, Yinda,
Cui, Zhaopeng,
Tan, Ping,
Qu, Wentian,
Ma, Cuixia,
Wang, Hongan |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2021
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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| Schlagworte: | Journal Article |
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