Three-Dimensional Human Hand Pose Estimation Based on Finger-Point Reinforcement and Multi-Level Feature Fusion

Kaiyi Zhang; Ru Hong; Shaoyan Gai; Feipeng Da

doi:10.3788/AOS202242.1915001

Journals >Acta Optica Sinica >Volume 42 >Issue 19 >Page 1915001 > Article

Acta Optica Sinica
Vol. 42, Issue 19, 1915001 (2022)

Three-Dimensional Human Hand Pose Estimation Based on Finger-Point Reinforcement and Multi-Level Feature Fusion

Kaiyi Zhang^1、2, Ru Hong^1、2, Shaoyan Gai^1、2, and Feipeng Da^{1、2、3、*}

Author Affiliations

¹School of Automation, Southeast University, Nanjing 210096, Jiangsu , China

²Key Laboratory of Measurement and Control of Complex Engineering Systems, Ministry of Education, Southeast University, Nanjing 210096, Jiangsu , China

³Shenzhen Research Institute, Southeast University, Shenzhen 518036, Guangdong , China

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DOI: 10.3788/AOS202242.1915001 Cite this Article Set citation alerts

Kaiyi Zhang, Ru Hong, Shaoyan Gai, Feipeng Da. Three-Dimensional Human Hand Pose Estimation Based on Finger-Point Reinforcement and Multi-Level Feature Fusion[J]. Acta Optica Sinica, 2022, 42(19): 1915001 Copy Citation Text

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