首先基于差分图像和肤色信息检测出人脸，其次使用改进的奇异值分解方法提取面部特征，最后运用最小距离分类器进行识别。

First based on the difference image and the skin color the face is detected and localized, then features are extracted by using improved SVD, last the features is classified by minimal distance.

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传统的特征提取方法主要有：主分量分析、奇异值分解、投影追踪、自组织映射等。

Classical feature extraction methods include: Principle Component Analysis, Singular Value Decomposition, Projection Pursuit, Self-Organizing Map, and so on.

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采用阻尼最小二乘法与奇异值分解的方法来求解失调量。

By means of the damp least square method and singular value decomposition method, the misalignment of optical system could be calculated.

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