3D hand pose and mesh estimation via a generic Topology-aware Transformer model

In Human-Robot Interaction (HRI), accurate 3D hand pose and mesh estimation hold critical importance. However, inferring reasonable and accurate poses in severe self-occlusion and high self-similarity remains an inherent challenge. In order to alleviate the ambiguity caused by invisible and similar...

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Autores principales:	Shaoqi Yu, Yintong Wang, Lili Chen, Xiaolin Zhang, Jiamao Li
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Frontiers Media S.A. 2024-05-01
Colección:	Frontiers in Neurorobotics
Materias:	3D hand pose estimation HandGCNFormer 3D hand mesh estimation Graphformer Transformer GCN
Acceso en línea:	https://www.frontiersin.org/articles/10.3389/fnbot.2024.1395652/full
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