A Comparative Study of Geometry,Gabor Wavelets Representation and Local Binary Patterns for Facial Expression Recognition

摘要：

Facial expression recognition is an interesting and challenging problem and impacts important applications in many areas such as intelligent environments and multimodal human computer interface.Geometry,Gabor wavelets representation and local binary patterns (LBP) are three types of successful facial features for facial expression recognition.In this paper,the recognition performance of geometry,Gabor wavelets representation and LBP,was compared on facial expression recognition tasks.Experimental results on the popular JAFFE facial expression database demonstrate Gabor wavelets representation obtains the best performance,outperforming geometry and LBP.

关键词： facial expression recognition Geometry Garbor wavelets representation local binary patterns

作者: Qiang Zhou Shiqing Zhang

作者单位: School of Physics and Electronic Engineering Taizhou University Taizhou,China

会议类型: 国际会议

会议名称: 2010 4th International Conference on Intelligent Information Techonlogy Application(第四届智能信息技术应用国际学术研讨会 IITA 2010)

会议地点: 秦皇岛

会议语种:英文

页码: 129-132

在线出版日期: 2010-11-05（万方平台首次上网日期，不代表论文的发表时间）