Learning to fuse 3D+2D based face recognition at both feature and decision levels
文献类型：期刊论文
| 作者 | Li, SZ ; Zhao, CS; Ao, M; Lei, Z; Zhao, W; Gong, S; Tang, X
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| 刊名 | ANALYSIS AND MODELLING OF FACES AND GESTURES, PROCEEDINGS
 |
| 出版日期 | 2005 |
| 卷号 | 3723页码:44-54 |
| 英文摘要 | 2D 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标题词 | Science & Technology ; Technology |
| 类目[WOS] | Computer Science, Artificial Intelligence ; Computer Science, Theory & Methods ; Imaging Science & Photographic Technology |
| 研究领域[WOS] | Computer Science ; Imaging Science & Photographic Technology |
| 关键词[WOS] | EIGENFACES |
| 收录类别 | ISTP ; SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000233332200005 |
| 公开日期 | 2015-12-24 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/9143]  |
| 专题 | 自动化研究所_09年以前成果 |
| 作者单位 | 1.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 |
| 推荐引用方式 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. |
入库方式： OAI收割
来源：自动化研究所
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