Robust large margin discriminant tangent analysis for face recognition

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	Robust large margin discriminant tangent analysis for face recognition
	Yang, Nanhai 2; He, Ran 1; Zheng, Wei-Shi 3; Wang, Xiukun 2; Ran He(赫然)
刊名	NEURAL COMPUTING & APPLICATIONS
	2012-03-01
卷号	21 期号:2 页码:269-279
关键词	Nonparametric discriminant analysis Linear discriminant analysis Tangent distance Face recognition
英文摘要	Fisher's Linear Discriminant Analysis (LDA) has been recognized as a powerful technique for face recognition. However, it could be stranded in the non-Gaussian case. Nonparametric discriminant analysis (NDA) is a typical algorithm that extends LDA from Gaussian case to non-Gaussian case. However, NDA suffers from outliers and unbalance problems, which cause a biased estimation of the extra-class scatter information. To address these two problems, we propose a robust large margin discriminant tangent analysis method. A tangent subspace-based algorithm is first proposed to learn a subspace from a set of intra-class and extra-class samples which are distributed in a balanced way on the local manifold patch near each sample point, so that samples from the same class are clustered as close as possible and samples from different classes will be separated far away from the tangent center. Then each subspace is aligned to a global coordinate by tangent alignment. Finally, an outlier detection technique is further proposed to learn a more accurate decision boundary. Extensive experiments on challenging face recognition data set demonstrate the effectiveness and efficiency of the proposed method for face recognition. Compared to other nonparametric methods, the proposed one is more robust to outliers.
WOS标题词	Science & Technology ; Technology
类目[WOS]	Computer Science, Artificial Intelligence
研究领域[WOS]	Computer Science
关键词[WOS]	DIMENSIONALITY REDUCTION ; FEATURE LINE ; FRAMEWORK ; ALIGNMENT ; ILLUMINATION ; MODEL ; POSE
收录类别	SCI
语种	英语
WOS记录号	WOS:000300668300006
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/3807]
专题	自动化研究所_智能感知与计算研究中心
作者单位	1.Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing 100190, Peoples R China 2.Dalian Univ Technol, Sch Software Technol, Dalian 116620, Peoples R China 3.Sun Yat Sen Univ, Sch Informat Sci & Technol, Guangzhou 510275, Guangdong, Peoples R China
推荐引用方式 GB/T 7714	Yang, Nanhai,He, Ran,Zheng, Wei-Shi,et al. Robust large margin discriminant tangent analysis for face recognition[J]. NEURAL COMPUTING & APPLICATIONS,2012,21(2):269-279.
APA	Yang, Nanhai,He, Ran,Zheng, Wei-Shi,Wang, Xiukun,&Ran He.(2012).Robust large margin discriminant tangent analysis for face recognition.NEURAL COMPUTING & APPLICATIONS,21(2),269-279.
MLA	Yang, Nanhai,et al."Robust large margin discriminant tangent analysis for face recognition".NEURAL COMPUTING & APPLICATIONS 21.2(2012):269-279.