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Heterogeneous Face Recognition: A Common Encoding Feature Discriminant Approach
Gong, Dihong1; Li, Zhifeng1; Huang, Weilin1; Li, Xuelong2; Tao, Dacheng3
作者部门光学影像学习与分析中心
2017-05-01
发表期刊IEEE TRANSACTIONS ON IMAGE PROCESSING
ISSN1057-7149
卷号26期号:5页码:2079-2089
产权排序2
摘要

Heterogeneous face recognition is an important, yet challenging problem in face recognition community. It refers to matching a probe face image to a gallery of face images taken from alternate imaging modality. The major challenge of heterogeneous face recognition lies in the great discrepancies between different image modalities. Conventional face feature descriptors, e.g., local binary patterns, histogram of oriented gradients, and scale-invariant feature transform, are mostly designed in a handcrafted way and thus generally fail to extract the common discriminant information from the heterogeneous face images. In this paper, we propose a new feature descriptor called common encoding model for heterogeneous face recognition, which is able to capture common discriminant information, such that the large modality gap can be significantly reduced at the feature extraction stage. Specifically, we turn a face image into an encoded one with the encoding model learned from the training data, where the difference of the encoded heterogeneous face images of the same person can be minimized. Based on the encoded face images, we further develop a discriminant matching method to infer the hidden identity information of the cross-modality face images for enhanced recognition performance. The effectiveness of the proposed approach is demonstrated (on several public-domain face datasets) in two typical heterogeneous face recognition scenarios: matching NIR faces to VIS faces and matching sketches to photographs.

文章类型Article
关键词Face Common Encoding Heterogeneous Face Recognition (Hfr) Learning Feature Descriptor
WOS标题词Science & Technology ; Technology
DOI10.1109/TIP.2017.2651380
收录类别SCI ; EI
关键词[WOS]SPECTRAL REGRESSION ; SKETCH SYNTHESIS ; DESCRIPTOR ; FRAMEWORK
语种英语
WOS研究方向Computer Science ; Engineering
项目资助者BIC, Chinese Academy of Sciences(172644KYSB20160033) ; Australian Research Council(DP-140102164 ; Shenzhen Research Program(JCYJ20160510154736343) ; Guangdong Research Program(2015B010129013) ; Natural Science Foundation of Guangdong Province(2014A030313688 ; National Natural Science Foundation of China(61503367) ; CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institutes of Advanced Technology ; FT-130101457 ; 2015A030310289) ; LE-140100061)
WOS类目Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS记录号WOS:000399396400001
引用统计
被引频次:68[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.opt.ac.cn/handle/181661/28862
专题光谱成像技术研究室
作者单位1.Chinese Acad Sci, Shenzhen Inst Adv Technol, Shenzhen 518055, Peoples R China
2.Chinese Acad Sci, State Key Lab Transient Optic & Photon, Ctr Opt IMagery Anal & Learning OPTIMAL, Xian 710119, Peoples R China
3.Univ Sydney, Sch Informat Technol, Fac Engn & Informat Technol, Darlington, NSW 2008, Australia
推荐引用方式
GB/T 7714
Gong, Dihong,Li, Zhifeng,Huang, Weilin,et al. Heterogeneous Face Recognition: A Common Encoding Feature Discriminant Approach[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING,2017,26(5):2079-2089.
APA Gong, Dihong,Li, Zhifeng,Huang, Weilin,Li, Xuelong,&Tao, Dacheng.(2017).Heterogeneous Face Recognition: A Common Encoding Feature Discriminant Approach.IEEE TRANSACTIONS ON IMAGE PROCESSING,26(5),2079-2089.
MLA Gong, Dihong,et al."Heterogeneous Face Recognition: A Common Encoding Feature Discriminant Approach".IEEE TRANSACTIONS ON IMAGE PROCESSING 26.5(2017):2079-2089.
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