Facial Feature Localization Based on Wavelet and ICA
基于小波和ICA的面部特征定位

Facial feature localization, an important technique in automatic face recognition, could be classified into five methods, namely ones based on knowledge, geometry information, color, appearance and relative location. Our new method based on wavelet and independent component analysis regards the movements of eyes and mouth as independent components from the view of the signal processing. The wavelet decomposition is first applied to obtain the horizontal edge images. The apparatus basis images, extracted by ICA on these edge images, are then used separately to recon struct the facial image to localize eyes and mouth.