Age Estimation Using Facial Expression Dynamics

被引：0
|
作者：
Dibeklioglu, Hamdi [1 ]
Salah, Albert Ali [2 ]
Gevers, Theo [1 ]
机构：
[1] Univ Amsterdam, Inst Informat, Amsterdam, Netherlands
[2] Bogazici Univ, Bilgisayar Muhendisligi Bolumu, Istanbul, Turkey
来源：
2013 21ST SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU) | 2013年
关键词：
Age estimation; facial expression analysis; CLASSIFICATION;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Age estimation from face images traditionally focuses on appearance features. In this paper, we evaluate a number of recently proposed spatio-temporal features for the problem of age estimation from face videos. It is shown that temporal features based on movement dynamics of facial landmarks during a smile expression can improve age estimation over using only appearance-based features.
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页数：4
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