Matching NIR Face to VIS Face Using Transduction
Zhu, Jun-Yong1,2; Zheng, Wei-Shi3,4; Lai, Jian-Huang2,3,4; Li, Stan Z.5,6
2014-03-01
发表期刊IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY
卷号9期号:3页码:501-514
文章类型Article
摘要Visual versus near infrared (VIS-NIR) face image matching uses an NIR face image as the probe and conventional VIS face images as enrollment. It takes advantage of the NIR face technology in tackling illumination changes and low-light condition and can cater for more applications where the enrollment is done using VIS face images such as ID card photos. Existing VIS-NIR techniques assume that during classifier learning, the VIS images of each target people have their NIR counterparts. However, since corresponding VIS-NIR image pairs of the same people are not always available, which is often the case, so those methods cannot be applied. To address this problem, we propose a transductive method named transductive heterogeneous face matching (THFM) to adapt the VIS-NIR matching learned from training with available image pairs to all people in the target set. In addition, we propose a simple feature representation for effective VIS-NIR matching, which can be computed in three steps, namely Log-DoG filtering, local encoding, and uniform feature normalization, to reduce heterogeneities between VIS and NIR images. The transduction approach can reduce the domain difference due to heterogeneous data and learn the discriminative model for target people simultaneously. To the best of our knowledge, it is the first attempt to formulate the VIS-NIR matching using transduction to address the generalization problem for matching. Experimental results validate the effectiveness of our proposed method on the heterogeneous face biometric databases.
关键词Heterogeneous Face Recognition Vis-nir Face Matching Transductive Learning
WOS标题词Science & Technology ; Technology
关键词[WOS]RECOGNITION ; IMAGES ; CLASSIFICATION ; EXTRACTION
收录类别SCI
语种英语
WOS研究方向Computer Science ; Engineering
WOS类目Computer Science, Theory & Methods ; Engineering, Electrical & Electronic
WOS记录号WOS:000332459700015
引用统计
被引频次:33[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/8037
专题模式识别国家重点实验室_生物识别与安全技术研究
作者单位1.Sun Yat Sen Univ, Sch Math & Computat Sci, Guangzhou 510275, Guangdong, Peoples R China
2.SYSU CMU Shunde Int Joint Res Inst, Shunde, Peoples R China
3.Sun Yat Sen Univ, Sch Informat Sci & Technol, Guangzhou 510275, Guangdong, Peoples R China
4.Guangdong Prov Key Lab Computat Sci, Guangzhou 510275, Guangdong, Peoples R China
5.Chinese Acad Sci, Inst Automat, Ctr Biometr & Secur Res, Beijing 100080, Peoples R China
6.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China
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GB/T 7714
Zhu, Jun-Yong,Zheng, Wei-Shi,Lai, Jian-Huang,et al. Matching NIR Face to VIS Face Using Transduction[J]. IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY,2014,9(3):501-514.
APA Zhu, Jun-Yong,Zheng, Wei-Shi,Lai, Jian-Huang,&Li, Stan Z..(2014).Matching NIR Face to VIS Face Using Transduction.IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY,9(3),501-514.
MLA Zhu, Jun-Yong,et al."Matching NIR Face to VIS Face Using Transduction".IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY 9.3(2014):501-514.
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