Automatic 3D face recognition using discriminant common vectors
文献类型:期刊论文
作者 | Zhong, C; Tan, T![]() |
刊名 | ADVANCES IN BIOMETRICS, PROCEEDINGS
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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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