计算机应用与软件2011，Vol.28Issue(2)：235-238,4.
基于轮廓波变换和核Fisher判别分析的人脸识别
FACE RECOGNITION BASED ON CONTOURLET TRANSFORM AND KERNEL FISHER DISCRIMINANT ANALYSIS
王彩霞 1赵祖轩2
作者信息
- 1. 运城学院公共计算机教学部,山西,运城,044000
- 2. 北京化工大学信息科学与技术学院,北京,100029
- 折叠
摘要
Abstract
Contourlet transform is a new multiscale geometrical analysis scheme possessing main features of the wavelets (namely,multiresolution and time-frequency localisation) as well as high directionality and anisotropy. In this paper, a method based on contourlet transform and kernel Fisher discriminant analysis (KFDA) for face recognition is proposed. The recognition rate and recognition time of face recognition are studied in regard to the combination of low frequency coefficient and high-frequency coefficients at each level of contourlet transform with KFDA. Experimental result show that to combine low frequency coefficient of contourlet transform with KFDA achieves higher recognition rate with decreased recognition time; while the high-frequency components do help the recognition to a certain extent but its recognition rate is low. The combination of low frequency component with high frequency directional subband can optimise the recognition rate.关键词
小波变换/Contourlet变换/核Fisher判别分析(KFDA)/人脸识别引用本文复制引用
王彩霞,赵祖轩..基于轮廓波变换和核Fisher判别分析的人脸识别[J].计算机应用与软件,2011,28(2):235-238,4.
