Automatic 3D face recognition using discriminant common vectors

CASIA OpenIR > 09年以前成果

	Automatic 3D face recognition using discriminant common vectors
	Zhong, C; Tan, T; Xu, CH; Li, JW; Zhang, D; Jain, AK
发表期刊	ADVANCES IN BIOMETRICS, PROCEEDINGS
	2006
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
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.