Research on a Method of Facial Ezpression Recognition

摘要：

Facial expression recognition is necessary for designing any human-machine interfaces. A novel facial expression recognition method with wavelet packet decomposition and neural network ensemble is proposed in this paper.Firstly,the facial expression images are converted by wavelet packet decomposition method into many decomposed regions.Secondly,single BP neural networks are trained by the K-L transformed features of every decomposed region.Using the trained BP neural network to recognize facial expressions,14 decomposed regions with the best recognition rate are chosen. At the same time,the decomposition mode of the wavelet packet is determined.Finally,the sub-networks are trained by the features of the 14 decomposed regions,and a facial expression classifier of the neural network composed with 9 sub-networks is determined,with a satisfactory recognition performance.

关键词： facial ezpression recognition wavelet packed decomposition neural network ensemble.

作者: Feng jun Chen Zhiliang Wang Zhengguang Xu Donglin Wang

作者单位: School of Technology,Beijing Forestry University,100083 Beijing,China School of Information Engineering,University of Science and Technology,Beijing,100083 Beijing,China

会议类型: 国际会议

会议名称: 2009 9th International Conference on Electronic Measurement & Instruments(第九届电子测量与仪器国际会议 ICEMI2009)

会议地点: 北京

会议语种:英文

页码: 225-229

在线出版日期: 2009-08-16（万方平台首次上网日期，不代表论文的发表时间）