3D Hand Pose Estimation Using Synthetic Data and Weakly Labeled RGB Images
Compared with depth-based 3D hand pose estimation, it is more challenging to infer 3D hand pose from monocular RGB images, due to the substantial depth ambiguity and the difficulty of obtaining fully-annotated training data. Different from the existing learning-based monocular RGB-input approaches t...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 43(2021), 11 vom: 08. Nov., Seite 3739-3753
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| 1. Verfasser: |
Cai, Yujun
(VerfasserIn) |
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| Weitere Verfasser: |
Ge, Liuhao,
Cai, Jianfei,
Thalmann, Nadia Magnenat,
Yuan, Junsong |
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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 pattern analysis and machine intelligence
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| Schlagworte: | Journal Article
Research Support, Non-U.S. Gov't |
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