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.
展开▼