FACE RECOGNITION USING VARIANCE WEIGHTINESS LBP BASED ON SINGLE TRAINING IMAGE PER PERSON

摘要：

　　A novel and efficient method for face recognition with only one training image is proposed in this paper.It combines both texture feature and global topological information,and merges different features with proper weightiness.Firstly,we partition facial images according to Three courtyards and five eyes theory.Secondly,LBP is used to exact texture feature,and then we choose variance for weightiness to merge features,here we make use of variance to estimate the scattered degree between classes.Finally,the Chi-square is used to measure similarity,and we send them to the nearest classifier for further recognition.On ORL facial database,experiments show a better effect and higher recognition accuracy of this method.

关键词： Face recognition Single sample LBP Weight Variance Partition

作者: RU-ZHE ZHAO BIN FANG JING WEN

作者单位: Department of Computer Science, Chongqing University, Chongqing 400030, China

会议类型: 国际会议

会议名称: 2011 International Conference on Wavelet Analysis and Pattern Recognition(2011小波分析与模式识别国际会议)

会议地点: 桂林

会议语种:英文

页码: 7-11

在线出版日期: 2011-07-10（万方平台首次上网日期，不代表论文的发表时间）