中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Automatic 3D face recognition using discriminant common vectors

文献类型:期刊论文

作者Zhong, C; Tan, T; Xu, CH; Li, JW; Zhang, D; Jain, AK
刊名ADVANCES IN BIOMETRICS, PROCEEDINGS
出版日期2006
卷号3832页码:85-91
英文摘要In this paper we propose a fully automatic scheme for 3D face recognition. In our scheme, the original 3D data is automatically converted into the normalized 3D data, then the discriminant common vector (DCV) is introduced for 3D face recognition. We also compare DCV with two common methods, i.e., principal component analysis (PCA) and linear discriminant analysis (LDA). Our experiments are based on the CASIA 3D Face Database, a challenging database with complex variations. The experimental results show that DCV is superior to the other two methods.
WOS标题词Science & Technology ; Technology
类目[WOS]Computer Science, Artificial Intelligence ; Computer Science, Theory & Methods
研究领域[WOS]Computer Science
收录类别ISTP ; SCI
语种英语
WOS记录号WOS:000235768300012
公开日期2015-12-24
源URL[http://ir.ia.ac.cn/handle/173211/9302]  
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
Zhong, C,Tan, T,Xu, CH,et al. Automatic 3D face recognition using discriminant common vectors[J]. ADVANCES IN BIOMETRICS, PROCEEDINGS,2006,3832:85-91.
APA Zhong, C,Tan, T,Xu, CH,Li, JW,Zhang, D,&Jain, AK.(2006).Automatic 3D face recognition using discriminant common vectors.ADVANCES IN BIOMETRICS, PROCEEDINGS,3832,85-91.
MLA Zhong, C,et al."Automatic 3D face recognition using discriminant common vectors".ADVANCES IN BIOMETRICS, PROCEEDINGS 3832(2006):85-91.

入库方式: OAI收割

来源:自动化研究所

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