DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lim, Yoon-Seop | ko |
dc.contributor.author | Lee, Sung-Hyun | ko |
dc.contributor.author | Cheong, Sung-Jin | ko |
dc.contributor.author | Park, Yong-Hwa | ko |
dc.date.accessioned | 2023-06-02T02:00:52Z | - |
dc.date.available | 2023-06-02T02:00:52Z | - |
dc.date.created | 2023-02-23 | - |
dc.date.issued | 2023-01-31 | - |
dc.identifier.citation | MOEMS and Miniaturized Systems XXII | - |
dc.identifier.issn | 0277-786X | - |
dc.identifier.uri | http://hdl.handle.net/10203/307023 | - |
dc.description.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. | - |
dc.language | English | - |
dc.publisher | SPIE | - |
dc.title | A long-distance 3D face recognition architecture utilizing MEMS-based region-scanning LiDAR | - |
dc.type | Conference | - |
dc.identifier.scopusid | 2-s2.0-85159775571 | - |
dc.type.rims | CONF | - |
dc.citation.publicationname | MOEMS and Miniaturized Systems XXII | - |
dc.identifier.conferencecountry | US | - |
dc.identifier.conferencelocation | San Francisco, CA | - |
dc.identifier.doi | 10.1117/12.2649500 | - |
dc.contributor.localauthor | Park, Yong-Hwa | - |
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