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
Source PublicationIEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
2007-04-01
Volume29Issue:4Pages:627-639
SubtypeArticle
AbstractMost 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.
KeywordBiometrics Face Recognition Near Infrared (Nir) Illumination Invariant Local Binary Pattern (Lbp) Statistical Learning
WOS HeadingsScience & Technology ; Technology
WOS KeywordCLASSIFICATION ; REFLECTANCE ; EIGENFACES ; RETINEX ; OBJECT ; IR
Indexed BySCI
Language英语
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS IDWOS:000244855600011
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/9472
Collection09年以前成果
Affiliation1.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
Recommended Citation
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.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Li, Stan Z.]'s Articles
[Chu, RuFeng]'s Articles
[Liao, ShengCai]'s Articles
Baidu academic
Similar articles in Baidu academic
[Li, Stan Z.]'s Articles
[Chu, RuFeng]'s Articles
[Liao, ShengCai]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Li, Stan Z.]'s Articles
[Chu, RuFeng]'s Articles
[Liao, ShengCai]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.