Dynamic Feature Matching for Partial Face Recognition | |
He LX(何凌霄); Li HQ(李海青); Zhang Q(张琪); Sun ZN(孙哲南) | |
发表期刊 | IEEE Transactions on Image Processing |
2019 | |
期号 | 2页码:791-802 |
摘要 | Partial face recognition (PFR) in an unconstrained environment is a very important task, especially in situations where partial face images are likely to be captured due to occlusions, out-of-view, and large viewing angle, e.g., video surveillance and mobile devices. However, little attention has been paid to PFR so far and thus, the problem of recognizing an arbitrary patch of a face image remains largely unsolved. This study proposes a novel partial face recognition approach called Dynamic Feature Matching (DFM), which combines Fully |
关键词 | Fully Convolutional Network Dynamic Feature Matching Partial Face Recognition |
收录类别 | SCI |
语种 | 英语 |
七大方向——子方向分类 | 生物特征识别 |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/23696 |
专题 | 模式识别实验室 |
通讯作者 | Sun ZN(孙哲南) |
作者单位 | 中科院自动化研究所 |
第一作者单位 | 中国科学院自动化研究所 |
通讯作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | He LX,Li HQ,Zhang Q,et al. Dynamic Feature Matching for Partial Face Recognition[J]. IEEE Transactions on Image Processing,2019(2):791-802. |
APA | He LX,Li HQ,Zhang Q,&Sun ZN.(2019).Dynamic Feature Matching for Partial Face Recognition.IEEE Transactions on Image Processing(2),791-802. |
MLA | He LX,et al."Dynamic Feature Matching for Partial Face Recognition".IEEE Transactions on Image Processing .2(2019):791-802. |
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