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题名: On dimensionality reduction for client specific discriminant analysis with application to face verification
作者: Wu XJ(吴小俊); Josef, K; Yang JY(杨静宇); Kieron, M; Wang ST(王士同); Lu, JP
作者部门: 机器人学研究室
会议名称: 5th Chinese Conference on Biometric Recognition (SINOBIOMETRICS 2004)
会议日期: December 13-14, 2004
会议地点: Guangzhou, China
会议主办者: Chinese Acad Sci, Inst Automat, Sun Yat-sen Univ, Omron Corp, Natl Nat Sci Fdn China, China Soc Image & Graphics, Chinese Assoc Automat
会议录: ADVANCES IN BIOMETRIC PERSON AUTHENTICATION, PROCEEDINGS
会议录出版者: SPRINGER-VERLAG
会议录出版地: BERLIN
出版日期: 2004
页码: 305-312
收录类别: SCI ; CPCI(ISTP)
ISSN号: 0302-9743
ISBN号: 3-540-24029-2
摘要: In this paper we propose a study on dimensionality reduction for client specific discriminant analysis with application to face verification. A new algorithm of face verification based on client specific discriminant analysis is developed. Two aspects of improvement are made in the new algorithm. First, a dimensionality reduction based on the between-class scatter matrix is introduced which is more efficient than that based on the population scatter matrix. The second improvement lies in the use of a new Fisher criterion function which is introduced in order to reduce the computational complexity of the client specific discriminant analysis problem. The experimental results obtained on the internationally recognized facial database XM2VTS using the Lausanne protocol show the effectiveness of the proposed method.
语种: 英语
产权排序: 1
WOS记录号: WOS:000226133000033
Citation statistics:
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/8816
Appears in Collections:机器人学研究室_会议论文

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