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Amir Hossein Omidvarnia用matlab编写的基于PCA的人脸识别系统和基于FLD的人脸识别系统,其中
的图像示例为Essex face database中 face94 的部分图像,文献可参考"Eigenfaces vs. Fisherfaces:
Recognition using class specific linear projection."已经测试过程序可正常运行没有问题。-Amir Hossein Omidvarnia prepared using
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Eigenfaces for Recognition
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principal component analysis (PCA ) is a well known approach for dimensionality reduction of the feature space. It has been successfully applied in face recognition. The main idea is to decompose face images into a small set of feature images called
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pca进行人脸识别的原理和代码，特征脸方法，图像重建-PCA for face recognition principle and code, Eigenfaces method, image reconstruction
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This i for face recognition using eigenfaces.
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eigenfaces descr iption for face recognition
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