Enhanced fisher linear discriminant model based face recognition using facial combined feature

Enhanced fisher linear discriminant model based face recognition using facial combined feature
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基于人脸组合特征的增强型费舍尔线性判别模型人脸识别

DOI:
10.1117/1.1812539
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发表时间:
2004-12
影响因子:
1.3
通讯作者:
Dake Zhou Xin Yang
Dake Zhou Xin Yang
中科院分区:
工程技术4区
文献类型:
--
作者:
Dake Zhou Xin Yang

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We propose a combined feature Fisher classifier method for face recognition (FR). Both facial holistic and local information are used for face representation. In addition, the enhanced Fisher linear discriminant model is employed for improving the generalization capability. Experiments show that the method is not only robust enough to moderate changes of illumination, pose, and facial expression but also superior to the traditional FR methods, such as eigenfaces and Fisherfaces.
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