A Long-Distance 3D Face Recognition Architecture Utilizing MEMS-based Region-scanning LiDAR
Embedded Files
Proceeding of SPIE (2023)
Proceeding of SPIE (2023)
Sungjin Cheong, Yoon Seop Lim, Wonho Jung, Yong-Hwa Park
Sungjin Cheong, Yoon Seop Lim, Wonho Jung, Yong-Hwa Park
Korea Advanced Institute of Science and Technology (KAIST)
Abstract
Abstract
In this paper, a novel 3D face recognition system utilizing the MEMS-based indirect Time-of-Flight (ToF) regionscanning 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 highresolution 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.
In this paper, a novel 3D face recognition system utilizing the MEMS-based indirect Time-of-Flight (ToF) regionscanning 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 highresolution 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.
Overall Description
Overall Description
Page updated
Google Sites
Report abuse