HEMlets PoSh : Learning Part-Centric Heatmap Triplets for 3D Human Pose and Shape Estimation
Estimating 3D human pose from a single image is a challenging task. This work attempts to address the uncertainty of lifting the detected 2D joints to the 3D space by introducing an intermediate state - Part-Centric Heatmap Triplets (HEMlets), which shortens the gap between the 2D observation and th...
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Détails bibliographiques
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 44(2022), 6 vom: 01. Juni, Seite 3000-3014
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| Auteur principal: |
Zhou, Kun
(Auteur) |
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| Autres auteurs: |
Han, Xiaoguang,
Jiang, Nianjuan,
Jia, Kui,
Lu, Jiangbo |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2022
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| Accès à la collection: | IEEE transactions on pattern analysis and machine intelligence
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| Sujets: | Journal Article
Research Support, Non-U.S. Gov't |
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