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王先梅, 梁玲燕, 王志良, 胡四泉(北京科技大学计算机与通信工程学院, 北京 100083)

摘 要
Age estimation by facial image: a survey

Wang Xianmei, Liang Lingyan, Wang Zhiliang, Hu Siquan(School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China)

Age information,as an important personal trait,has great potential in safety surveillance,human-computer interaction,multimedia applications,and face recognition.As an emerging biometric information identification technology,face-image based age estimation has gained great attention resently and has become one of the important research topics in machine learning and computer vision.In this paper,we survey most existing commonly used methods in face-image based age estimation,especially focusing on the extraction of age features and classification.Then,we also introduce some face aging databases and evaluation protocols,which are widely used at present.Based on these databases and evaluation methods,a comparison of the performances of several age estimation systems is presented.Finally,the challenges and promising directions of age estimation techniques are discussed.