Fast face detection by lifting dyadic wavelet filters
Fast face detection by lifting dyadic wavelet filters
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DOI：
10.1109/icip.2003.1247389
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发表时间：
2003-11
期刊：
影响因子：
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通讯作者：
Turghunjan Abdukirim Türüki;K. Niijima;S. Takano
中科院分区：
文献类型：
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作者：
Turghunjan Abdukirim Türüki;K. Niijima;S. Takano
本文提出一种利用提升二进小波滤波器在图像中快速检测鼻子、眼睛和嘴唇等面部部位的算法。对提升滤波器中的自由参数进行学习，以使由提升滤波器组成的向量和面部部位像素向量之间夹角的余弦值最大。将学习到的滤波器应用于测试图像，可检测出图像中的面部部位。在模拟实验中，我们表明我们的算法对于从图像中检测面部部位是一种快速且鲁棒的算法。
This paper presents a fast algorithm for detecting facial parts such as nose, eyes and lips in an image by using lifting dyadic wavelet filters. 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 is detected. In simulation, we show that our algorithm is fast and robust one for detecting facial parts from an image.