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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
Department先进制造技术研究室
Conference Name2nd International Conference on Image and Graphics
Conference DateAugust 16-18, 2002
Conference PlaceHefei, China
Source PublicationSECOND INTERNATION CONFERENCE ON IMAGE AND GRAPHICS, PTS 1 AND 2
PublisherSPIE-INT SOC OPTICAL ENGINEERING
Publication PlaceBELLINGHAM
2002
Pages723-730
Indexed ByEI ; CPCI(ISTP)
EI Accession number2002527290161
WOS IDWOS:000179559800105
Contribution Rank1
ISSN0277-786X
ISBN0-8194-4656-4
KeywordPattern Recognition Feature Extraction Disciminant Analysis Kernel Approach Face Recognition
AbstractFisher 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.
Language英语
Citation statistics
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/19941
Collection工业信息学研究室_先进制造技术研究室
Corresponding AuthorWu XJ(吴晓军)
Affiliation1.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
Recommended Citation
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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