Multimodal Art Pose Recognition and Interaction With Human Intelligence Enhancement

This paper provides an in-depth study and analysis of human artistic poses through intelligently enhanced multimodal artistic pose recognition. A complementary network model architecture of multimodal information based on motion energy proposed. The network exploits both the rich information of appe...

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Auteurs principaux: Chengming Ma, Qian Liu, Yaqi Dang
Format: article
Langue:EN
Publié: Frontiers Media S.A. 2021
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Accès en ligne:https://doaj.org/article/c3dfa052b0a5410db73acd2687df9639
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