Facial expression recognition in VGG network based on LBP feature extraction

被引：0
|
作者：
Zhang, Qi [1 ]
机构：
[1] Guangxi Normal Univ, Sch Elect Engn, Guilin, Peoples R China
来源：
2020 5TH INTERNATIONAL CONFERENCE ON MECHANICAL, CONTROL AND COMPUTER ENGINEERING (ICMCCE 2020) | 2020年
关键词：
component; LBP features; VGG network; Convolutional neural network; Facial expression recognition;
D O I：
10.1109/ICMCCE51767.2020.00454
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
LBP (Local binary mode) is a local spatial structure that describes an image. It has gray invariance and good robustness against background noise and visible light. In this paper, after image processing with LBP and VGG network, face facial expression recognition was studied. Experiments were carried out in CK+ data set, and the accuracy reached 96%. The experimental results show that this method is more advanced and effective than VGG network and traditional methods.
引用
收藏
页码：2089 / 2092
页数：4
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