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Deformable face net for pose invariant face recognition
He, Mingjie1,2; Zhang, Jie1; Shan, Shiguang1,2,3; Kan, Meina1; Chen, Xilin1,2
2020-04-01
发表期刊PATTERN RECOGNITION
ISSN0031-3203
卷号100页码:11
摘要Unconstrained face recognition still remains a challenging task due to various factors such as pose, expression, illumination, partial occlusion, etc. In particular, the most significant appearance variations are stemmed from poses which leads to severe performance degeneration. In this paper, we propose a novel Deformable Face Net (DFN) to handle the pose variations for face recognition. The deformable convolution module attempts to simultaneously learn face recognition oriented alignment and identity-preserving feature extraction. The displacement consistency loss (DCL) is proposed as a regularization term to enforce the learnt displacement fields for aligning faces to be locally consistent both in the orientation and amplitude since faces possess strong structure. Moreover, the identity consistency loss (ICL) and the pose-triplet loss (PTL) are designed to minimize the intra-class feature variation caused by different poses and maximize the inter-class feature distance under the same poses. The proposed DFN can effectively handle pose invariant face recognition (PIFR). Extensive experiments show that the proposed DFN outperforms the state-of-the-art methods, especially on the datasets with large poses. (C) 2019 Published by Elsevier Ltd.
关键词Pose-invariant face recognition Displacement consistency loss Pose-triplet loss
DOI10.1016/j.patcog.2019.107113
收录类别SCI
语种英语
资助项目National Key R&D Program of China[2017YFA070080 0] ; Natural Science Foundation of China[61806188 and61772496]
WOS研究方向Computer Science ; Engineering
WOS类目Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS记录号WOS:000533530800016
出版者ELSEVIER SCI LTD
引用统计
被引频次:44[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/2XEOYT63/15362
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Shan, Shiguang
作者单位1.Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Chinese Acad Sci CAS, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Peng Cheng Lab, Shenzhen 518055, Peoples R China
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He, Mingjie,Zhang, Jie,Shan, Shiguang,et al. Deformable face net for pose invariant face recognition[J]. PATTERN RECOGNITION,2020,100:11.
APA He, Mingjie,Zhang, Jie,Shan, Shiguang,Kan, Meina,&Chen, Xilin.(2020).Deformable face net for pose invariant face recognition.PATTERN RECOGNITION,100,11.
MLA He, Mingjie,et al."Deformable face net for pose invariant face recognition".PATTERN RECOGNITION 100(2020):11.
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