摘要
人脸识别技术已广泛应用在很多领域,但仍有很多问题亟待解决.本文主要针对深度卷积稀疏编码人脸识别算法进行研究,首先对卷积稀疏编码和人脸识别系统进行分析,然后基于深度卷积稀疏编码对现有人脸识别技术进行实验优化,希望能够为相关研究提供借鉴.
Face recognition technology has been widely used in many fields,but there are still many problems to be solved.In this paper,the deep convolutional sparse coding face recognition algorithm is studied.Firstly,the convolutional sparse coding and face recognition system are analyzed,and then the existing face recognition technology is optimized based on the deep convolutional sparse coding,hoping to provide reference for related research.
作者
高见
GAO Jian(Yangzhou Vocational University,Yangzhou Jiangsu 225000,China)
出处
《信息与电脑》
2020年第22期55-56,共2页
Information & Computer
基金
2018年度扬州市职业大学校级科研项目“基于深度卷积稀疏编码人脸识别算法研究”(项目编号:2018ZR12)。
关键词
卷积网络结构
稀疏编码
人脸识别
convolutional network structure
sparse coding
face recognition
