天津科技大学学报2016，Vol.31Issue(6)：1-10,10.DOI:10.13364/j.issn.1672-6510.20160050
基于深度学习的人脸识别方法研究综述
Review of Face Recognition Methods Based on Deep Learning
摘要
Abstract
Face recognition based on deep learning,which has already become a hot research topic in the field of biometric recognition at present,was reviewed.Firstly,face recognition and the basic structure of deep learning were intro-duced.Then,the current international and domestic research status quo and application of the technology were summarized, such as face recognition method based on convolutional neural network(CNN),deep nonlinear face shape extraction method,robust modeling of face pose based on deep learning,fully automatic face recognition in the constrained environ-ment,face recognition based on deep learning under video surveillance,low resolution face recognition based on deep learn-ing,and other face information recognition based on deep learning.Finally,a general analysis was made on the existing problems and future development trend of face recognition in the application of deep learning.关键词
深度学习/人脸识别/卷积神经网络/生物特征识别Key words
deep learning/face recognition/convolutional neural network/biometric recognition分类
信息技术与安全科学引用本文复制引用
杨巨成,刘娜,房珊珊,谢迎..基于深度学习的人脸识别方法研究综述[J].天津科技大学学报,2016,31(6):1-10,10.基金项目
国家自然科学基金资助项目(61502338)；天津市科技支撑计划重点资助项目(15ZCZDGX00200) （61502338）
