A long-distance 3D face recognition architecture utilizing MEMS-based region-scanning LiDAR

Yoon-Seop Lim; Sung-Hyun Lee; Sung-Jin Cheong; Yong-Hwa Park

doi:10.1117/12.2649500

15 March 2023 A long-distance 3D face recognition architecture utilizing MEMS-based region-scanning LiDAR

Yoon-Seop Lim, Sung-Hyun Lee, Sung-Jin Cheong, Yong-Hwa Park

Proceedings Volume 12434, MOEMS and Miniaturized Systems XXII; 124340J (2023) https://doi.org/10.1117/12.2649500
Event: SPIE OPTO, 2023, San Francisco, California, United States

Abstract

In this paper, a novel 3D face recognition system utilizing the MEMS-based indirect Time-of-Flight (ToF) region-scanning LiDAR is proposed for long-distance person identification. Specifically, this face recognition system consists of two parts: (1) detection of the targeted face region by IR amplitude image and (2) 3D face recognition with the high-resolution face data of region-scanning. The proposed system is carried out on the self-collected dataset and gets maximum Rank-1 recognition rate of 95% in various distance and illumination conditions. Moreover, the proposed system outperformed the other 3D face recognition system with conventional ToF sensors in the aspect of the Rank-1 recognition rates at long distance of more than 3 meters.

Conference Presentation

Citation Download Citation

Yoon-Seop Lim, Sung-Hyun Lee, Sung-Jin Cheong, and Yong-Hwa Park "A long-distance 3D face recognition architecture utilizing MEMS-based region-scanning LiDAR", Proc. SPIE 12434, MOEMS and Miniaturized Systems XXII, 124340J (15 March 2023); https://doi.org/10.1117/12.2649500

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