| 基于偏最小二乘的人脸超分辨率重构 |
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| 引用本文： | 胡宇,赵保军,沈庭芝,刘朋樟. 基于偏最小二乘的人脸超分辨率重构[J]. 北京理工大学学报, 2010, 30(9): 1098-1102 |
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| 作者姓名： | 胡宇 赵保军 沈庭芝 刘朋樟 |
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| 作者单位： | 北京理工大学,信息与电子学院,北京,100081;北京理工大学,信息与电子学院,北京,100081;北京理工大学,信息与电子学院,北京,100081;北京理工大学,信息与电子学院,北京,100081 |
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| 基金项目： | 国家自然科学基金资助项目 |
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| 摘 要： | 提出了一种基于偏最小二乘(PLS)的超分辨率重构方法用于快速恢复高分辨率人脸图像.该算法利用主成分分析(PCA)方法将所有高、低分辨率人脸图像投影到各自的特征子空间中,通过PLS对高、低分辨率投影变量之间的统计关系进行回归建模.当输入的低分辨率人脸图像给定时,对应的高分辨率人脸图像可以由训练后的回归模型导出.实验结果表明,在离线训练的情况下,所提出的算法可以快速地给出令人满意的重构解.
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| 关 键 词： | 偏最小二乘 特征投影 超分辨率人脸重构 |
| 收稿时间： | 2009-03-05 |
Facial Image Super-Resolution Reconstruction Based on Partial Least Squares |
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| HU Yu,ZHAO Bao-jun,SHEN Ting-zhi and LIU Peng-zhang. Facial Image Super-Resolution Reconstruction Based on Partial Least Squares[J]. Journal of Beijing Institute of Technology(Natural Science Edition), 2010, 30(9): 1098-1102 |
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| Authors: | HU Yu ZHAO Bao-jun SHEN Ting-zhi LIU Peng-zhang |
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| Affiliation: | HU Yu,ZHAO Bao-jun,SHEN Ting-zhi,LIU Peng-zhang (School of Information and Electronics,Beijing Institute of Technology,Beijing 100081,China) |
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| Abstract: | A partial least squares (PLS)-based super-resolution method is proposed for fast high resolution facial image reconstruction. First, projects all the high-resolution and low-resolution images is projected onto their respective eigen-space, and then the PLS regression model is built by capturing the statistical relationship between those projection coefficient pairs. When the low resolution input is given, the corresponding high-resolution image can be derived from the well trained PLS regression model easil... |
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| Keywords: | partial least squares eigen-projection face hallucination |
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