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对人脸图象作正交小波变换，得到它在不同频带上的四个子图象，然后分别提取奇异值特征。
We do orthogonal wavelet transform of a face image, get its four sub images of different frequency bands, then respectively extract their singular value features.
重点介绍了图像的代数特征抽取以及作者关于奇异值特征矢量作为图像的一种代数特征方面的研究工作。
The algebraic feature extraction of images and the authors' research work on singular value vectors as a kind of algebraic features of images are emphasized.
通过矩阵运算，证明了奇异值特征矢量在图像做缩放变换时具有不变性，并将这种性质运用于图像匹配。
By matrix operation, the invariance of image singular value vector about the reducing and enlarging transformation is proved, and this character is applied to the image matching.
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