The existing face detection methods can be classified into four categories: Knowledge-based methods, Feature invariant approaches, Template matching methods and Appearance-based methods.

现有的静止图像人脸检测算法主要有四类：基于知识的方法、基于特征不变量的方法、基于模板匹配的方法和基于表象的方法。

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In order to deal with the problem of the estimation of image registration parameter, this thesis ADAPTS the way of combining the methods of phase correlation and template matching.

针对图像配准中的亚像素参数估计问题，提出了一种相位相关和模板匹配相结合的方法。

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The algorithm reduces the range where faces are to be searched, therefore its detection speed is three times of that of other detection methods used singly by multi-template matching.

这种算法大大减小了搜索人脸的范围，使得检测速度比单纯仅用多模板匹配来检测人脸提高了三倍多。

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