热门
Illumination invariant face recognition using near-infrared images
文献类型：期刊论文
| 作者 | Li, Stan Z. ; Chu, RuFeng; Liao, ShengCai; Zhang, Lun
|
| 刊名 | IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
 |
| 出版日期 | 2007-04-01 |
| 卷号 | 29期号:4页码:627-639 |
| 关键词 | biometrics face recognition near infrared (NIR) illumination invariant local binary pattern (LBP) statistical learning |
| 英文摘要 | 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. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic |
| 研究领域[WOS] | Computer Science ; Engineering |
| 关键词[WOS] | CLASSIFICATION ; REFLECTANCE ; EIGENFACES ; RETINEX ; OBJECT ; IR |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000244855600011 |
| 公开日期 | 2015-12-24 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/9472]  |
| 专题 | 自动化研究所_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. |
入库方式： OAI收割
来源：自动化研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。