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Template-based face detection method

机译:基于模板的人脸检测方法

摘要

A template-based face detection method includes: producing an average face image from a face database, wavelet-converting the produced face image, and removing a low frequency component of high and low frequency components of the converted image, the low frequency component being sensitive to illumination; producing a face template with only high horizontal and vertical frequency components of the high frequency components; and retrieving an initial face position using the face template when an image is inputted, and detecting the face in a next frame by using, as a face template for the next frame, a template obtained by linearly combining the face template with a high frequency wavelet coefficient corresponding to the position of the face in a current frame. Thus, the method has a shortened calculation time for face detection, and can accurately detect a face irrespective of skin color and illumination.
机译:基于模板的面部检测方法包括:从面部数据库产生平均面部图像,对所产生的面部图像进行小波转换,以及去除转换后图像的高频和低频成分中的低频成分,该低频成分是敏感的。照明产生仅具有高频分量中的高水平和垂直分量的面部模板;当输入图像时,使用面部模板检索初始面部位置,并且通过使用通过将面部模板与高频小波线性组合而获得的模板作为下一帧的面部模板来检测下一帧中的面部。与当前帧中的脸部位置相对应的系数。因此,该方法缩短了用于面部检测的计算时间,并且可以准确地检测面部,而与肤色和照明无关。

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