Fast face detection by lifting dyadic wavelet filters
نویسندگان
چکیده
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 can be detected. In simulation, we show that our algorithm is fast and robust one for detecting facial parts from an image.
منابع مشابه
Person Identification Using Fast Face Learning of Lifting Dyadic Wavelet Filters
A person identification system based on fast face learning of lifting wavelet filters is proposed. The real power of our system lies in fast learning of lifting wavelet filters adaptive to facial parts such as eyes, nose and lips, in a set of training faces. In our system, free parameters in the lifting filter are learned fast by using Newton’s method. The learned parameters are memorized in a ...
متن کاملFast Objects Detection by Variance-maximization Learning of Lifting Wavelet Filters
A fast objects detecting method is proposed, which is based on the variance-maximization learning of lifting dyadic wavelet filters. First, it is shown that the sum of lifting wavelet coefficients in horizontal and vertical directions defines an elliptic-type of discrete operator containing free parameters. The free parameters are learned so as to maximize the variance of lifting wavelet coeffi...
متن کاملRobust person authentication using dyadic wavelet filters learned by cosine-maximization
This paper produces a person authentication system using learned lifting dyadic wavelet filters. Our system has the capability of identifying persons whose facial image is changed the size and angle of an original image. The learning algorithm is done by training free parameters in the lifting filters so as to maximize the cosine between a vector whose components are the lifting filters and a v...
متن کاملLifting Dyadic Wavelets for Denoising
A method for designing lifting dyadic wavelet filters with vanishing moments is proposed. The method is applied for constructing spline dyadic wavelet filters with vanishing moments. The constructed filters are used together with a threshold masking technique for removing Gaussian noise from noise corrupted images.
متن کاملThe Dyadic Lifting Schemes and the Denoising of Digital Images
The dyadic lifting schemes, which generalize Sweldens lifting schemes, have been proposed for custom-design of dyadic and bi-orthogonal wavelets and their duals. Starting with dyadic wavelets and exploiting the control provided in the form of free parameters, one can custom-design dyadic as well as bi-orthogonal wavelets adapted to a particular application. To validate the usefulness of the sch...
متن کامل