Efficient 3d reconstruction for face recognition
文献类型:期刊论文
作者 | Jiang, DL; Hu, YX; Yan, SC; Zhang, L; Zhang, HJ; Gao, W |
刊名 | Pattern recognition
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出版日期 | 2005-06-01 |
卷号 | 38期号:6页码:787-798 |
关键词 | Face recognition 3d face reconstruction Multi-view Illumination Expression Analysis by synthesis |
ISSN号 | 0031-3203 |
DOI | 10.1016/j.patcog.2004.11.004 |
通讯作者 | Zhang, l(leizhang@microsoft.com) |
英文摘要 | Face recognition with variant pose, illumination and expression (pie) is a challenging problem. in this paper, we propose an analysis-by-synthesis framework for face recognition with variant pie. first, an efficient two-dimensional (2d)-to-three-dimensional (3d) integrated face reconstruction approach is introduced to reconstruct a personalized 3d face model from a single frontal face image with neutral expression and normal illumination. then, realistic virtual faces with different pie are synthesized based on the personalized 3d face to characterize the face subspace. finally, face recognition is conducted based on these representative virtual faces. compared with other related work, this framework has following advantages: (1) only one single frontal face is required for face recognition, which avoids the burdensome enrollment work; (2) the synthesized face samples provide the capability to conduct recognition under difficult conditions like complex pie; and (3) compared with other 3d reconstruction approaches, our proposed 2d-to-3d integrated face reconstruction approach is fully automatic and more efficient. the extensive experimental results show that the synthesized virtual faces significantly improve the accuracy of face recognition with changing pie. (c) 2004 pattern recognition society. published by elsevier ltd. all rights reserved. |
WOS关键词 | SHAPE |
WOS研究方向 | Computer Science ; Engineering |
WOS类目 | Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic |
语种 | 英语 |
WOS记录号 | WOS:000227856100002 |
出版者 | ELSEVIER SCI LTD |
URI标识 | http://www.irgrid.ac.cn/handle/1471x/2378397 |
专题 | 中国科学院大学 |
通讯作者 | Zhang, L |
作者单位 | 1.Microsoft Res Asia, Beijing 100080, Peoples R China 2.Chinese Acad Sci, Comp Technol Inst, Beijing 100080, Peoples R China 3.Chinese Acad Sci, Grad Sch, Beijing 100039, Peoples R China 4.Peking Univ, Sch Math Sci, Beijing 100871, Peoples R China |
推荐引用方式 GB/T 7714 | Jiang, DL,Hu, YX,Yan, SC,et al. Efficient 3d reconstruction for face recognition[J]. Pattern recognition,2005,38(6):787-798. |
APA | Jiang, DL,Hu, YX,Yan, SC,Zhang, L,Zhang, HJ,&Gao, W.(2005).Efficient 3d reconstruction for face recognition.Pattern recognition,38(6),787-798. |
MLA | Jiang, DL,et al."Efficient 3d reconstruction for face recognition".Pattern recognition 38.6(2005):787-798. |
入库方式: iSwitch采集
来源:中国科学院大学
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