| 光照和噪声条件下的人脸识别 |
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| 引用本文： | 杜平,徐大为,刘重庆.光照和噪声条件下的人脸识别[J].上海交通大学学报,2003,37(9):1443-1446,1451. |
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| 作者姓名： | 杜平 徐大为 刘重庆 |
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| 作者单位： | 上海交通大学,图像处理与模式识别研究所,上海,200030 |
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| 摘 要： | 讨论了光照和噪声条件下的人脸识别问题，提出了基于Gabor滤波器对人脸图像提取Gabor特征并与EFM MAP-2相结合的人脸识别方法。实验证明，该方法在非均匀光照和噪声条件下比其他传统的人脸识别方法具有更好的鲁棒性。
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| 关 键 词： | 人脸识别 Gabor滤波器 增强型线性判别模型 最大后验概率 |
| 文章编号： | 1006-2467(2003)09-1443-04 |
Face Recognition Method Under Non-uniform Illumination and Noise |
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| DU Ping,XU Da-wei,LIU Chong-qing.Face Recognition Method Under Non-uniform Illumination and Noise[J].Journal of Shanghai Jiaotong University,2003,37(9):1443-1446,1451. |
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| Authors: | DU Ping XU Da-wei LIU Chong-qing |
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| Abstract: | Non-uniform illumination is one of the key points that affects the result of face recognition, and noise is the common issue in the image processing problems. A face recognition under non-uniform illumination and noise was addressed and the scheme that combines Gabor feature, Enhanced FLD Model (EFM) and Maximum A Posteriori (MAP) was proposed. The experimental result shows that this method is superior to other traditional method and robust under non-uniform illumination and noise. |
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| Keywords: | face recognition Gabor filter enhanced FLD model (EFM) maximum a posteriori (MAP) |
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