Convolutional Neural Networks and Face Recognition Task

被引:0
|
作者
Sochenkova, A. [2 ]
Sochenkov, I. [1 ,2 ]
Makovetskii, A. [1 ]
Vokhmintsev, A. [1 ]
Melnikov, A. [1 ,3 ]
机构
[1] Chelyabinsk State Univ, Chelyabinsk, Russia
[2] Peoples Friendship Univ Russia, Moscow, Russia
[3] Ugra Res Inst Informat Technol, Khanty Mansiysk, Russia
来源
基金
俄罗斯科学基金会;
关键词
face recognition; person identification; convolutional neural network; CNN; ConvNet;
D O I
10.1117/12.2273624
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
Computer vision tasks are remaining very important for the last couple of years. One of the most complicated problems in computer vision is face recognition that could be used in security systems to provide safety and to identify person among the others. There is a variety of different approaches to solve this task, but there is still no universal solution that would give adequate results in some cases. Current paper presents following approach. Firstly, we extract an area containing face, then we use Canny edge detector. On the next stage we use convolutional neural networks (CNN) to finally solve face recognition and person identification task.
引用
收藏
页数:8
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