.png){kind=icon}
返回
Multi-resolution dictionary learning for face recognition
.png){kind=icon}
PRE
AI
DOI：10.1016/j.patcog.2019.04.027.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
In recent years, there has been a growing interest in the study of dictionary learning for face recognition. Most of the conventional dictionary learning methods focus only on a single resolution, which ignores the variability of resolutions of real-world face images. In order to address the above issue, this paper proposes a novel multi-resolution dictionary learning method that provides multiple dictionaries each being associated with a resolution. Especially, to enhance the robustness of the model, our method adds a relatively strong constraint to keep the similarity of representations obtained using different dictionaries in the training phase. We compare the proposed method to several state-of-the-art dictionary learning methods by applying this method to multi-resolution face recognition. The experimental results demonstrate that our method outperforms many recently proposed dictionary learning methods. The MATLAB codes of the proposed method will be available at http://www.yongxu.org/lunwen.html. (C) 2019 Elsevier Ltd. All rights reserved.
Keyword:
Dictionary learning
Multi-resolution
Face recognition
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
7.6
论文数:
1.3W
被引数:
4.5W
机构
引用论文
.png){kind=icon}
分享收藏分享收藏Copper ferrocyanide loaded track etched membrane: an effective cesium adsorbent负载亚铁氰化铜的径迹蚀刻膜: 一种有效的铯吸附剂
PREAI
分享收藏Improving Dictionary Learning: Multiple Dictionary Updates and Coefficient Reuse改进字典学习: 多次字典更新和系数重用
PREAI
分享收藏Sparse Representation Based Fisher Discrimination Dictionary Learning for Image Classification基于稀疏表示的Fisher判别字典学习图像分类
PREAI
分享收藏A micromachined efficient parametric array loudspeaker with a wide radiation frequency band具有宽辐射频带的微机械高效参量阵列扬声器
PREAI
分享收藏
查看更多内容