Registration and authentication of teachers and students in the virtual classroom based on 3D shape and deep learning

Jifeng Sun; Linfeng Deng; Hancheng Wu

doi:10.1117/12.2640329

1 August 2022 Registration and authentication of teachers and students in the virtual classroom based on 3D shape and deep learning

Jifeng Sun, Linfeng Deng, Hancheng Wu

Author Affiliations +

Proceedings Volume 12257, 4th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2022); 122570C (2022) https://doi.org/10.1117/12.2640329
Event: 4th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2022), 2022, Guangzhou, China

Abstract

Virtual classroom is a challenging research topic which is often discussed. It may be one part of metaverse. In this paper, we introduce 3D shape estimation for the registration and authentication of teachers and students in a virtual classroom, a new deep learning method, called geometric generative model, and 2D to 3D mapping algorithm DensePose are used. In the Login of the virtual classroom, the 3D human body reconstructed by the 2D image input of the teacher or the student is used as the message base of the identification and the authentication. Experiments of the first step of the virtual classroom, that is login and authentication based on 3D Shape model of the teacher and student is going to be done.

Citation Download Citation

Jifeng Sun, Linfeng Deng, and Hancheng Wu "Registration and authentication of teachers and students in the virtual classroom based on 3D shape and deep learning", Proc. SPIE 12257, 4th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2022), 122570C (1 August 2022); https://doi.org/10.1117/12.2640329

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