Direct face pose estimation using multiple camera views and deep learning

Hyuno Kim; Seohyun Lee; Yuji Yamakawa

doi:10.1117/12.2651041

15 March 2023 Direct face pose estimation using multiple camera views and deep learning

Hyuno Kim, Seohyun Lee, Yuji Yamakawa

Proceedings Volume 12438, AI and Optical Data Sciences IV; 1243814 (2023) https://doi.org/10.1117/12.2651041
Event: SPIE OPTO, 2023, San Francisco, California, United States

Conference Poster

Abstract

Face pose estimation is essential for interactive remote video communication as well as human-computer interaction. In the case of a vision system for video communication using multiple cameras, not only precise but also fast estimation is required for the switching control of the camera views. However, most of the methods based on facial landmarks are not fast enough due to the calculation cost for the detection and alignment of the landmarks. This paper proposes a straightforward method to directly estimate the face pose from input camera images, using multiple camera views and deep learning.

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Hyuno Kim, Seohyun Lee, and Yuji Yamakawa "Direct face pose estimation using multiple camera views and deep learning", Proc. SPIE 12438, AI and Optical Data Sciences IV, 1243814 (15 March 2023); https://doi.org/10.1117/12.2651041

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