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Surveillance video face recognition with single sample per person based on 3D modeling and blurring (EI收录)
Hu, Xiao[1]; Peng, Shaohu[1]; Wang, Li[1]; Yang, Zhao[1]; Li, Zhaowen[1]
刊名Neurocomputing
2017
卷号235页码:46-58
关键词Classification (of information) Compressed sensing Image processing Monitoring Sampling Security systems Signal reconstruction Three dimensional computer graphics
URL标识查看原文
内容类型期刊论文
URI标识http://www.corc.org.cn/handle/1471x/2182308
专题华南理工大学
作者单位1.[1] School of Mechanical and Electrical Engineering, Guangzhou University, Guangzhou
2.510006, China
推荐引用方式
GB/T 7714
Hu, Xiao[1],Peng, Shaohu[1],Wang, Li[1],等. Surveillance video face recognition with single sample per person based on 3D modeling and blurring (EI收录)[J]. Neurocomputing,2017,235:46-58.
APA Hu, Xiao[1],Peng, Shaohu[1],Wang, Li[1],Yang, Zhao[1],&Li, Zhaowen[1].(2017).Surveillance video face recognition with single sample per person based on 3D modeling and blurring (EI收录).Neurocomputing,235,46-58.
MLA Hu, Xiao[1],et al."Surveillance video face recognition with single sample per person based on 3D modeling and blurring (EI收录)".Neurocomputing 235(2017):46-58.
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