Illumination invariant face recognition using near-infrared images

CASIA OpenIR > 09年以前成果

	Illumination invariant face recognition using near-infrared images
	Li, Stan Z.; Chu, RuFeng ; Liao, ShengCai; Zhang, Lun
发表期刊	IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
	2007-04-01
卷号	29 期号:4 页码:627-639
文章类型	Article
摘要	Most current face recognition systems are designed for indoor, cooperative-user applications. However, even in thus constrained applications, most existing systems, academic and commercial, are compromised in accuracy by changes in environmental illumination. In this paper, we present a novel solution for illumination invariant face recognition for indoor, cooperative-user applications. First, we present an active near infrared (NIR) imaging system that is able to produce face images of good condition regardless of visible lights in the environment. Second, we show that the resulting face images encode intrinsic information of the face, subject only to a monotonic transform in the gray tone; based on this, we use local binary pattern (LBP) features to compensate for the monotonic transform, thus deriving an illumination invariant face representation. Then, we present methods for face recognition using NIR images; statistical learning algorithms are used to extract most discriminative features from a large pool of invariant LBP features and construct a highly accurate face matching engine. Finally, we present a system that is able to achieve accurate and fast face recognition in practice, in which a method is provided to deal with specular reflections of active NIR lights on eyeglasses, a critical issue in active NIR image-based face recognition. Extensive, comparative results are provided to evaluate the imaging hardware, the face and eye detection algorithms, and the face recognition algorithms and systems, with respect to various factors, including illumination, eyeglasses, time lapse, and ethnic groups.
关键词	Biometrics Face Recognition Near Infrared (Nir) Illumination Invariant Local Binary Pattern (Lbp) Statistical Learning
WOS标题词	Science & Technology ; Technology
关键词[WOS]	CLASSIFICATION ; REFLECTANCE ; EIGENFACES ; RETINEX ; OBJECT ; IR
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:000244855600011
引用统计	被引频次：369[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/173211/9472
专题	09年以前成果
作者单位	1.Chinese Acad Sci, Inst Automat, Ctr Biometr & Secur Records, Beijing 100080, Peoples R China 2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China
推荐引用方式 GB/T 7714	Li, Stan Z.,Chu, RuFeng,Liao, ShengCai,et al. Illumination invariant face recognition using near-infrared images[J]. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE,2007,29(4):627-639.
APA	Li, Stan Z.,Chu, RuFeng,Liao, ShengCai,&Zhang, Lun.(2007).Illumination invariant face recognition using near-infrared images.IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE,29(4),627-639.
MLA	Li, Stan Z.,et al."Illumination invariant face recognition using near-infrared images".IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 29.4(2007):627-639.