CASIA OpenIR  > 09年以前成果
Learning to fuse 3D+2D based face recognition at both feature and decision levels
Li, SZ; Zhao, CS; Ao, M; Lei, Z; Zhao, W; Gong, S; Tang, X
Source PublicationANALYSIS AND MODELLING OF FACES AND GESTURES, PROCEEDINGS
2005
Volume3723Pages:44-54
SubtypeArticle
Abstract2D intensity images and 3D shape models are both useful for face recognition, but in different ways. While algorithms have long been developed using 2D or 3D data, recently has seen work on combining both into multi-modal face biometrics to achieve higher performance. However, the fusion of the two modalities has mostly been at the decision level, based on scores obtained from independent 2D and 3D matchers.
WOS HeadingsScience & Technology ; Technology
WOS KeywordEIGENFACES
Indexed ByISTP ; SCI
Language英语
WOS Research AreaComputer Science ; Imaging Science & Photographic Technology
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Theory & Methods ; Imaging Science & Photographic Technology
WOS IDWOS:000233332200005
Citation statistics
Cited Times:22[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/9143
Collection09年以前成果
Affiliation1.Chinese Acad Sci, Inst Automat, Ctr Biometr & Secur Res, Beijing 100080, Peoples R China
2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China
Recommended Citation
GB/T 7714
Li, SZ,Zhao, CS,Ao, M,et al. Learning to fuse 3D+2D based face recognition at both feature and decision levels[J]. ANALYSIS AND MODELLING OF FACES AND GESTURES, PROCEEDINGS,2005,3723:44-54.
APA Li, SZ.,Zhao, CS.,Ao, M.,Lei, Z.,Zhao, W.,...&Tang, X.(2005).Learning to fuse 3D+2D based face recognition at both feature and decision levels.ANALYSIS AND MODELLING OF FACES AND GESTURES, PROCEEDINGS,3723,44-54.
MLA Li, SZ,et al."Learning to fuse 3D+2D based face recognition at both feature and decision levels".ANALYSIS AND MODELLING OF FACES AND GESTURES, PROCEEDINGS 3723(2005):44-54.
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