特征脸法是一种常用的人脸特征提取和识别方法。

Eigenfaces is one of the most popular method in face feature extraction and recognition.

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结果表明，新方法的识别正确率明显高于传统特征脸法。

The result shows that the new approach gets higher recognition rates than traditional one significantly.

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实验结果表明，改进后的方法对于识别多姿态人脸达到很好的效果，正确识别率比特征脸法有很大提高。

Experiments results show that the new method gains better recognition rate than eigenfaces, especially for pose varied human faces.

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本征脸法将图像看做矩阵，计算本征值和对应的本征向量作为代数特征进行识别。

Taking image as a matrix, an eigenface algorithm USES eigenvalues and corresponding eigenvectors in recognition.

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本征脸法将图像看做矩阵，计算本征值和对应的本征向量作为代数特征进行识别。

Taking image as a matrix, an eigenface algorithm USES eigenvalues and corresponding eigenvectors in recognition.

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