A Facial Expression Recognition Method Based on Singular Value Features and Improved BP Neural Network

摘要：

　　Expression recognition is an important subjective measurement method in emotional calculation.Considering the stability and representativeness of image algebra features, expression characteristics can be extracted by singular value decomposition.BP neural network optimized by the genetic algorithm is adopted as a classifier.Using the classifier, an expression recognition experiment was done on the JAFFE library and emotional induced experimental expression database.Comparing with the traditional BP classifier,the results of the experiment proves that the method is more effective and efficient.

关键词： expression recognition Singular Value Decomposition (SVD) Genetic Algorithm (GA) BP neural network (BPNN)

作者: Wei Qin Qiansheng Fang Yalong Yang

作者单位: Key Laboratory of Intelligent Building Anhui University of Architecture, Hefei, China

会议类型: 国际会议

会议名称: 第八届图像图形技术与应用学术会议(8th Conference on Image and Graphics Technologies and Applications)(IGTA2013)

会议地点: 北京

会议语种:英文

页码: 163-172

在线出版日期: 2013-04-02（万方平台首次上网日期，不代表论文的发表时间）