Consistent 3D Hand Reconstruction in Video via Self-Supervised Learning

We present a method for reconstructing accurate and consistent 3D hands from a monocular video. We observe that the detected 2D hand keypoints and the image texture provide important cues about the geometry and texture of the 3D hand, which can reduce or even eliminate the requirement on 3D hand ann...

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Détails bibliographiques
Publié dans:IEEE transactions on pattern analysis and machine intelligence. - 1979. - 45(2023), 8 vom: 23. Aug., Seite 9469-9485
Auteur principal: Tu, Zhigang (Auteur)
Autres auteurs: Huang, Zhisheng, Chen, Yujin, Kang, Di, Bao, Linchao, Yang, Bisheng, Yuan, Junsong
Format: Article en ligne
Langue:English
Publié: 2023
Accès à la collection:IEEE transactions on pattern analysis and machine intelligence
Sujets:Journal Article