关键词: 二进小波变换, 提升二进小波滤波器, 人脸特征提取, 人脸检测

Abstract: This paper presents a fast algorithm for detecting facial parts such as nose，eyes and lips in an image by using lifting dyadic wavelet transform.Free parameters in the lifting filters are learned so as to maximize the cosine of an angle between a vector whose components are the lifting filters and a vector of pixels in the facial part.Applying the learned filter to a test image，facial parts in the image can be detected.The experimental results indicate that the approach is high robust，and it is fit to solve the problem of face detection in complex background.Because of the algorithm’s simpleness，it can be easily achieved by hardware，and this will shorten the time consuming on face detection.This made it possible to detect faces in real time.So it has wide application perspective at fields of visual telephone，intelligent monitor etc.

Key words: dyadic wavelet transform, lifting dyadic wavelet filters, face feature extraction, face detection