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Learning Compact Feature Descriptor and Adaptive Matching Framework for Face Recognition
文献类型：期刊论文
| 作者 | Zhifeng Li; Dihong Gong; Xuelong Li; Dacheng Tao |
| 刊名 | IEEE Transactions on Image Processing
 |
| 出版日期 | 2015 |
| 英文摘要 | Dense feature extraction is becoming increasingly popular in face recognition tasks. Systems based on this approach have demonstrated impressive performance in a range of challenging scenarios. However, improvements in discriminative power come at a computational cost and with a risk of over-fitting. In this paper, we propose a new approach to dense feature extraction for face recognition, which consists of two steps. First, an encoding scheme is devised that compresses high-dimensional dense features into a compact representation by maximizing the intrauser correlation. Second, we develop an adaptive feature matching algorithm for effective classification. This matching method, in contrast to the previous methods, constructs and chooses a small subset of training samples for adaptive matching, resulting in further performance gains. Experiments using several challenging face databases, including labeled Faces in the Wild data set, Morph Album 2, CUHK optical-infrared, and FERET, demonstrate that the proposed approach consistently outperforms the current state of the art. |
| 收录类别 | SCI |
| 原文出处 | http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7094272 |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/6560]  |
| 专题 | 深圳先进技术研究院_集成所 |
| 作者单位 | IEEE Transactions on Image Processing |
| 推荐引用方式 GB/T 7714 | Zhifeng Li,Dihong Gong,Xuelong Li,et al. Learning Compact Feature Descriptor and Adaptive Matching Framework for Face Recognition[J]. IEEE Transactions on Image Processing,2015. |
| APA | Zhifeng Li,Dihong Gong,Xuelong Li,&Dacheng Tao.(2015).Learning Compact Feature Descriptor and Adaptive Matching Framework for Face Recognition.IEEE Transactions on Image Processing. |
| MLA | Zhifeng Li,et al."Learning Compact Feature Descriptor and Adaptive Matching Framework for Face Recognition".IEEE Transactions on Image Processing (2015). |
入库方式： OAI收割
来源：深圳先进技术研究院
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