The Video Face Recognition Method and System Based on The Fusion of Multiple Features

被引：0
|
作者：
Ye, Xin [1 ]
Zhu, Qiuyu [1 ]
机构：
[1] Shanghai Univ, Sch Commun & Informat Engn, Shanghai, Peoples R China
来源：
2017 10TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, BIOMEDICAL ENGINEERING AND INFORMATICS (CISP-BMEI) | 2017年
关键词：
Face Recognition; SIFT; Feature Fusion;
D O I：
暂无
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
In this paper, we present a video face recognition system and study a face recognition method which uses feature fusion in video. The characteristics of LBPH, SIFT and VIPLFaceNet are firstly discussed. LBPH is a feature which is based on the local gray difference of image. SIFT is a kind of feature which is invariable to scale. VIPLFaceNet is a kind of algorithm and feature which uses convolution neural network. The fusion of these three features can eliminate the influences of illumination, rotation and scale change on recognition. For the experiment, the ORL face data set and a real video was used to test, and the results show that, compared with single feature recognition, recognition rate has improved significantly with feature fusion.
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收藏
页数：6
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