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Automatic 3D face recognition using discriminant common vectors
Zhong, C; Tan, T; Xu, CH; Li, JW; Zhang, D; Jain, AK
2006
发表期刊ADVANCES IN BIOMETRICS, PROCEEDINGS
卷号3832页码:85-91
文章类型Article
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
收录类别ISTP ; SCI
语种英语
WOS研究方向Computer Science
WOS类目Computer Science, Artificial Intelligence ; Computer Science, Theory & Methods
WOS记录号WOS:000235768300012
引用统计
被引频次:2[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/9302
专题09年以前成果
作者单位Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China
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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.
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