Facial Expression Recognition Based on Local Facial Regions

摘要：

In facial expression recognition, the extraction of expression features is most important. It is a complex problem that how to extract steady and effective expression features from facial images which contain much disturbance.It is the key to improve recognition rate,too.In this paper, four local regions such as mouth,nose , eye (including the eyebrows)and glabella that are extracted . Our experiments are performed on the database of CED-WYU(1.0). And the experiment results explain our understanding about facial expression recognition based on local facial regions.

关键词： human-computer interaction facial expression recognition local facial regions

作者: Zhang Nan Geng Xue

作者单位: School of Electrical Engineering and Automation, Shandong Polytechnic University, Jinan,Shandong, 25 School of Physics, Shandong University of Technology, Zibo, Shandong, 255049

会议类型: 国际会议

会议名称: 2011 the Iet 4th International Conference on Wireless,Mobile & Multimedia Networks(第四届无线、移动及多媒体网络国际会议 ICWMMN2011)

会议地点: 北京

会议语种:英文

页码: 262-265

在线出版日期: 2011-11-27（万方平台首次上网日期，不代表论文的发表时间）