Learning Discriminant Face Descriptor
文献类型：期刊论文
| 作者 | Lei, Zhen1,2 ; Pietikainen, Matti3; Li, Stan Z.1,2
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| 刊名 | IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
 |
| 出版日期 | 2014-02-01 |
| 卷号 | 36期号:2页码:289-302 |
| 关键词 | Face recognition discriminant face descriptor image filter learning discriminant learning heterogeneous face recognition |
| 英文摘要 | 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. |
| 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] | LOCAL BINARY PATTERNS ; IMAGE CLASSIFICATION ; RECOGNITION ; REPRESENTATION ; SCALE ; HISTOGRAM ; FEATURES ; MODEL |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000328899500007 |
| 公开日期 | 2015-09-22 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/8024]  |
| 专题 | 自动化研究所_模式识别国家重点实验室_生物识别与安全技术研究中心 |
| 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 |
| 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. |
入库方式： OAI收割
来源：自动化研究所
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