Learning Discriminant Face Descriptor

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 生物识别与安全技术

	Learning Discriminant Face Descriptor
	Lei, Zhen1,2 ; Pietikainen, Matti 3; Li, Stan Z.1,2
发表期刊	IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
	2014-02-01
卷号	36 期号:2 页码:289-302
文章类型	Article
摘要	Local 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.
关键词	Face Recognition Discriminant Face Descriptor Image Filter Learning Discriminant Learning Heterogeneous Face Recognition
WOS标题词	Science & Technology ; Technology
关键词[WOS]	LOCAL BINARY PATTERNS ; IMAGE CLASSIFICATION ; RECOGNITION ; REPRESENTATION ; SCALE ; HISTOGRAM ; FEATURES ; MODEL
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:000328899500007
引用统计	被引频次：261[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/173211/8024
专题	多模态人工智能系统全国重点实验室_生物识别与安全技术
作者单位	1.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
第一作者单位	模式识别国家重点实验室
推荐引用方式 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.