CASIA OpenIR  > 模式识别国家重点实验室  > 生物识别与安全技术研究
Learning Discriminant Face Descriptor
Lei, Zhen1,2; Pietikainen, Matti3; Li, Stan Z.1,2
Source PublicationIEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
2014-02-01
Volume36Issue:2Pages:289-302
SubtypeArticle
AbstractLocal feature descriptor is an important module for face recognition and those like Gabor and local binary patterns (LBP) have proven effective face descriptors. Traditionally, the form of such local descriptors is predefined in a handcrafted way. In this paper, we propose a method to learn a discriminant face descriptor (DFD) in a data-driven way. The idea is to learn the most discriminant local features that minimize the difference of the features between images of the same person and maximize that between images from different people. In particular, we propose to enhance the discriminative ability of face representation in three aspects. First, the discriminant image filters are learned. Second, the optimal neighborhood sampling strategy is soft determined. Third, the dominant patterns are statistically constructed. Discriminative learning is incorporated to extract effective and robust features. We further apply the proposed method to the heterogeneous (cross-modality) face recognition problem and learn DFD in a coupled way (coupled DFD or C-DFD) to reduce the gap between features of heterogeneous face images to improve the performance of this challenging problem. Extensive experiments on FERET, CAS-PEAL-R1, LFW, and HFB face databases validate the effectiveness of the proposed DFD learning on both homogeneous and heterogeneous face recognition problems. The DFD improves POEM and LQP by about 4.5 percent on LFW database and the C-DFD enhances the heterogeneous face recognition performance of LBP by over 25 percent.
KeywordFace Recognition Discriminant Face Descriptor Image Filter Learning Discriminant Learning Heterogeneous Face Recognition
WOS HeadingsScience & Technology ; Technology
WOS KeywordLOCAL BINARY PATTERNS ; IMAGE CLASSIFICATION ; RECOGNITION ; REPRESENTATION ; SCALE ; HISTOGRAM ; FEATURES ; MODEL
Indexed BySCI
Language英语
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS IDWOS:000328899500007
Citation statistics
Cited Times:184[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/8024
Collection模式识别国家重点实验室_生物识别与安全技术研究
Affiliation1.Chinese Acad Sci, Ctr Biometr & Secur Res, Beijing 100190, Peoples R China
2.Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing 100190, Peoples R China
3.Univ Oulu, Ctr Machine Vis Res, FI-90014 Oulu, Finland
First Author AffilicationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Lei, Zhen,Pietikainen, Matti,Li, Stan Z.. Learning Discriminant Face Descriptor[J]. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE,2014,36(2):289-302.
APA Lei, Zhen,Pietikainen, Matti,&Li, Stan Z..(2014).Learning Discriminant Face Descriptor.IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE,36(2),289-302.
MLA Lei, Zhen,et al."Learning Discriminant Face Descriptor".IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 36.2(2014):289-302.
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