Effective Geometric Features for Human Emotion Recognition

摘要：

　　Human face carries variety of useful information.For example,persons emotion,behavior,and pain can be perceived from his facial expressions.In this paper,we make full use of eight flducial facial points to extract geometric features used after that to infer the universal human emotions (happy,surprise,anger,disgust,fear,and sadness).We compared our results with results obtained by two different algorithms,representing the state of the art,on two separated databases.We show using features from eight facial points,our approach performs as well as an algorithm that utilizes features extracted from 68 fiducial facial points and as well as another algorithm that uses hundreds of texture features.

关键词： Index Terms-Facial Expressions Fiducial Facial Points Support Vector Machine

作者: Anwar Saeed Ayoub Al-Hamadi Robert Niese Moftah Elzobi

作者单位: Institute for Electronics, Signal Processing and Communications(IESK)Otto-von-Guericke-University Magdeburg D-39016 Magdeburg, P.O.Box 4210 Germany

会议类型: 国际会议

会议名称: 2012 IEEE 11th International Conference on Signal Processing (第11届IEEE信号处理国际会议)

会议地点: 北京

会议语种:英文

页码: 623-627

在线出版日期: 2012-10-21（万方平台首次上网日期，不代表论文的发表时间）