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Efficient 3D reconstruction for face recognition
Jiang, DL; Hu, YX; Yan, SC; Zhang, L; Zhang, HJ; Gao, W
2005-06-01
发表期刊PATTERN RECOGNITION
ISSN0031-3203
卷号38期号:6页码:787-798
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.
关键词face recognition 3D face reconstruction multi-view illumination expression analysis by synthesis
DOI10.1016/j.patcog.2004.11.004
收录类别SCI
语种英语
WOS研究方向Computer Science ; Engineering
WOS类目Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS记录号WOS:000227856100002
出版者ELSEVIER SCI LTD
引用统计
被引频次:156[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://119.78.100.204/handle/2XEOYT63/10325
专题中国科学院计算技术研究所期刊论文_英文
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.
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