Research on the Modeling of Fast Face Recognition Against Age Disturbance under Deep Learning

被引：0
作者：
Li, Ang [1 ,2 ]
Zhang, Chen [1 ]
Li, Lei [2 ]
机构：
[1] Nanjing Univ Sci & Technol, Inst Elect Engn & Optoelect Technol, ZiJin Coll, Nanjing 210023, Peoples R China
[2] Nanjing Univ Posts & Telecommun, Coll Telecommun & Informat Engn, Nanjing 210003, Peoples R China
来源：
PROCEEDINGS OF THE 2021 FIFTH INTERNATIONAL CONFERENCE ON I-SMAC (IOT IN SOCIAL, MOBILE, ANALYTICS AND CLOUD) (I-SMAC 2021) | 2021年
基金：
中国国家自然科学基金;
关键词：
Fast Face Recognition; Deep Learning; Anti-age Interference; Multi-task learning;
D O I：
10.1109/I-SMAC52330.2021.9640707
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
With the development of computer vision technology, especially the promotion of artificial intelligence and deep learning related technologies in the past two years, face recognition technology has made rapid progress. However, in view of complex background lighting, face posture, expression, and age changes, Face recognition technology still faces many challenges. Compared with the research on other interference situations, there are relatively few researches on face recognition against age interference. This paper aims to achieve cross-age face recognition, and based on deep learning to extract age-robust face features as the theme, to achieve rapid face recognition modeling against age interference.
引用
收藏
页码：482 / 485
页数：4
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