| 基于人脸图像的质量评价模型及应用 |
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| 引用本文： | 李春芝,陈晓华.基于人脸图像的质量评价模型及应用[J].电脑编程技巧与维护,2012(20):93-94. |
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| 作者姓名： | 李春芝 陈晓华 |
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| 作者单位： | 1. 湖州师范学院信息工程学院,浙江湖州313000;华东师范大学信息科学技术学院,上海200241
2. 湖州师范学院信息工程学院,浙江湖州313000;华东师范大学软件学院,上海,200062 |
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| 摘 要： | 提出一种人脸图像评价模型。利用该模型评估人脸图像光照、姿态、表情、污损等噪声系数,进而选择噪声系数较低的图像用于人脸识别,提高人脸识别率。选择在CAS-PEAL人脸数据库作为实验对象,根据人脸图像质量评价模型选择噪声系数较低的人脸图像构成第一数据库。实验结果表明,根据提出的模型评价噪声系数并选择噪声系数低的图像用于识别,人脸识别性能得到改善。
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| 关 键 词： | 评价模型 特征提取 人脸识别 |
Facial Image Quality Assessment Model and Application |
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| LI Chun-zhi
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CHEN Xiao-hua.Facial Image Quality Assessment Model and Application[J].Computer Programming Skills & Maintenance,2012(20):93-94. |
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| Authors: | LI Chun-zhi CHEN Xiao-hua |
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| Affiliation: | (l. Information Engineering College of Huzhou Teachers College, Zhejiang Huzhou 313000, China; 2. College of information science and technology East China Normal University, Shanghai 200241 , China; 3. Software College of East China Normal University, Shanghai 200062 , China) |
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| Abstract: | This paper presents a facial image quality assessment model. The model is designed to reduce the influence which is caused by the degradation of facial image quality due to uncontrolled variations of facial appearances, and the degradation can lower the recognition performance. Experimental results on CAS-PEAL face databases with varied uncontrolled facial appearances demonstrated that the proposed approach achieved satisfactory recognition rate. |
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| Keywords: | Assessment Model Feature Extraction Face Reeognition |
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