基于深度学习的人脸识别方法研究综述

摘要

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.%针对基于深度学习的人脸识别这一生物特征识别领域的研究热点进行了综述。阐释了人脸识别及深度学习模型的基本结构；总结了该技术在国内外的研究现状及其应用，如基于卷积神经网络(CNN)的人脸识别方法、深度非线性人脸形状提取方法、基于深度学习的人脸姿态鲁棒性建模、有约束环境中的全自动人脸识别、基于深度学习的视频监控下的人脸识别、基于深度学习的低分辨率人脸识别以及其他基于深度学习的人脸信息的识别等；分析了当前人脸识别技术在深度学习应用中存在的问题及发展趋势。