Classification of Smile Expression using Hybrid PHOG and Gabor features

摘要：

Facial expressions play a critical role in human-human communications. There is currently a great need in automatic facial expression classification technology. To investigate this issue, we proposed a new smile classification method for real-world conditions. It demonstrated that the PHOG features achieve as high a classification rate as the traditional Gabor features did with lower feature dimensions and less computation time. Furthermore, experiments illustrated the effectiveness of combining the two features together for developing a better smile classifier that could achieved encouraging classification accuracy using a real world GENKI facial expression dataset.

关键词： smile classification gabor filter bank pyramid histogram of oriented gradient support vector machine gentleboost

作者: Jun Chen Yang Bai

作者单位: School of electrical and information South China University of Technology, Guangzhou, P.R.China, 510660

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 417-420

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）