厦门大学学报（自然科学版）2017，Vol.56Issue(1)：13-24,12.DOI:10.6043/j.issn.0438-0479.201609024
基于深度学习的人脸分析研究进展
Recent Advances on Deep-Learning-Based Face Analysis
摘要
Abstract
In recent years,the face analysis based on deep learning has made great progress,and has become one of the most active research areas in the field of computer vision.In order to further promote the study of deep learning and face analysis,this paper over-views recent advances on the deep-learning-based face analysis techniques in the literature.First,a brief overview of deep learning and its history are given and reasons for the effectiveness of deep learning are also analyzed.Then,according to different obj ectives,four face analysis tasks,i.e.,face detection,facial key-point detection,face recognition,face attribute recognition,are introduced and dis-cussed in detail,and the key problems existing in these tasks at present are analyzed.After that,the commonly used face databases in the face analysis are described.At last,main challenges of face analysis based deep learning are shown and the conclusion is presented.关键词
深度学习/卷积神经网络/人脸数据库/人脸识别/人脸分析Key words
deep learning/convolutional neural network/face database/face recognition/face analysis分类
信息技术与安全科学引用本文复制引用
严严,陈日伟,王菡子..基于深度学习的人脸分析研究进展[J].厦门大学学报（自然科学版）,2017,56(1):13-24,12.基金项目
国家自然科学基金(61571379,61472334) （61571379,61472334）
