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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