Research on Face Detection based on Deep Learning

被引：0

作者：

Luo, Gongli ^{[1
]}

Zhao, Wencang ^{[1
]}

Zhuang, Guotao ^{[1
]}

机构：

[1] Qingdao Univ Sci & Technol, Qingdao, Peoples R China

来源：

INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND APPLICATION ENGINEERING (CSAE) | 2017年 / 190卷

关键词：

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Aiming at the shortcomings of the traditional face detection algorithm, in this paper, the author used the convolution neural network model of the deep learning method, and designed the face detector based on the selective search strategy and the improved Alexnet convolution neural network. Experiments showed that the detector can better carry out the positioning of the facial features, improve the detection rate, reduce the missed detection rate.

引用

页码：159 / 165

页数：7

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