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Feature extraction of face images using kernel approach
Wu XJ(吴晓军); Yang JY(杨静宇); Wang ST(王士同); Liu, Tongming
作者部门先进制造技术研究室
会议名称2nd International Conference on Image and Graphics
会议日期August 16-18, 2002
会议地点Hefei, China
会议录名称SECOND INTERNATION CONFERENCE ON IMAGE AND GRAPHICS, PTS 1 AND 2
出版者SPIE-INT SOC OPTICAL ENGINEERING
出版地BELLINGHAM
2002
页码723-730
收录类别EI ; CPCI(ISTP)
EI收录号2002527290161
WOS记录号WOS:000179559800105
产权排序1
ISSN号0277-786X
ISBN号0-8194-4656-4
关键词Pattern Recognition Feature Extraction Disciminant Analysis Kernel Approach Face Recognition
摘要Fisher discriminant methods (FDM) have been demonstrated their success in face recognition, detection, and tracking. Fisher discriminant method is based on the optimum of Fisher discriminant criterion. Recently Higher Order Statistics (HOS) has been applied to many pattern recognition problems. In this paper we investigate a generalization of FDM, Kernel Fisher discriminant methods (KFDM), for the feature extraction of face images, which is nonlinear analysis method. In conventional FDM, all the matrices including within-class scatter matrix, between-class scatter matrix and population scatter matrix are actually a second order correlation of patterns respectively, KFDM provides a replacement which takes into account of higher order correlation. Furthermore, KFDM computes the higher order statistics without the combinatorial explosion of time and memory complexity. We compare the recognition results using KFDM with conventional FDM on ORL face image database. Experimental results show that the proposed KFDM outperforms conventional FDM in face recognition.
语种英语
引用统计
文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/19941
专题工业信息学研究室_先进制造技术研究室
通讯作者Wu XJ(吴晓军)
作者单位1.Dept. of Electron. and Information, East China Shipbuilding Institute, Huancheng Road No. 2, Zhenjiang, Jiangsu Province, China
2.School of Information, Nanjing Univ. of Sci. and Technol., Nanjing, China
3.Robotics Laboratory, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
推荐引用方式
GB/T 7714
Wu XJ,Yang JY,Wang ST,et al. Feature extraction of face images using kernel approach[C]. BELLINGHAM:SPIE-INT SOC OPTICAL ENGINEERING,2002:723-730.
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