中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A new direct LDA (D-LDA) algorithm for feature extraction in face recognition

文献类型:会议论文

作者Wu XJ(吴晓军); Kittler, Josef; Yang JY(杨静宇); Messer, Kieron; Wang ST(王士同)
出版日期2004
会议名称17th International Conference on Pattern Recognition (ICPR)
会议日期August 23-26, 2004
会议地点Cambridge, ENGLAND
页码545-548
通讯作者吴晓军
中文摘要The problem of determining the optimal set of discriminant vectors for feature extraction in pattern recognition is investigated. We propose a new direct LDA (D-LDA) method that is applicable to small sample size (SSS) problems often arising in face recognition. The experimental results on two popular databases show the effectiveness of the proposed method.
收录类别EI ; CPCI(ISTP)
产权排序1
会议主办者International Association for Pattern Recognition, IAPR; British Machine Vision Association, BMVA; University of Surrey, UK
会议录PROCEEDINGS OF THE 17TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL 4
会议录出版者IEEE COMPUTER SOC
会议录出版地LOS ALAMITOS
语种英语
ISSN号1051-4651
ISBN号0-7695-2128-2
WOS记录号WOS:000223878400130
源URL[http://ir.sia.cn/handle/173321/20009]  
专题沈阳自动化研究所_机器人学研究室
推荐引用方式
GB/T 7714
Wu XJ,Kittler, Josef,Yang JY,et al. A new direct LDA (D-LDA) algorithm for feature extraction in face recognition[C]. 见:17th International Conference on Pattern Recognition (ICPR). Cambridge, ENGLAND. August 23-26, 2004.

入库方式: OAI收割

来源:沈阳自动化研究所

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。