Kernel-based nonlinear discriminant analysis for face recognition

	Kernel-based nonlinear discriminant analysis for face recognition
	Liu, QS; Huang, R; Lu, HQ; Ma, SD
刊名	JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY
	2003-11-01
卷号	18 期号:6 页码:788-795
关键词	linear subspace analysis kernel-based nonlinear discriminant analysis kernel-based principal component analysis face recognition
英文摘要	Linear subspace analysis methods have been successfully applied to extract features for face recognition. But they are inadequate to represent the complex and nonlinear variations of real face images, such as illumination, facial expression and pose variations, because of their linear properties. In this paper, a nonlinear subspace analysis method, Kernel-based Nonlinear Discriminant Analysis (KNDA), is presented for face recognition, which combines the nonlinear kernel trick with the linear subspace analysis method - Fisher Linear Discriminant Analysis (FLDA). First, the kernel trick is used to project the input data into an implicit feature space, then FLDA is performed in this feature space. Thus nonlinear discriminant features of the input data are yielded. In addition, in order to reduce the computational complexity, a geometry-based feature vectors selection scheme is adopted. Another similar nonlinear subspace analysis is Kernel-based Principal Component Analysis (KPCA), which combines the kernel trick with linear Principal Component Analysis (PCA). Experiments are performed with the polynomial kernel, and KNDA is compared with KPCA and FLDA. Extensive experimental results show that KNDA can give a higher recognition rate than KPCA and FLDA.
WOS标题词	Science & Technology ; Technology
类目[WOS]	Computer Science, Hardware & Architecture ; Computer Science, Software Engineering
研究领域[WOS]	Computer Science
关键词[WOS]	ALGORITHMS ; EIGENFACES
收录类别	SCI
语种	英语
WOS记录号	WOS:000187161600013
公开日期	2015-12-24
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/9872]
专题	自动化研究所_09年以前成果
作者单位	Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China
推荐引用方式 GB/T 7714	Liu, QS,Huang, R,Lu, HQ,et al. Kernel-based nonlinear discriminant analysis for face recognition[J]. JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY,2003,18(6):788-795.
APA	Liu, QS,Huang, R,Lu, HQ,&Ma, SD.(2003).Kernel-based nonlinear discriminant analysis for face recognition.JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY,18(6),788-795.
MLA	Liu, QS,et al."Kernel-based nonlinear discriminant analysis for face recognition".JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY 18.6(2003):788-795.