ASM and Color Gabor Features for Facial Feature Extraction

To improve active shape Model(ASM) accuracy in facial feature points location in facial images,an improved ASM based algorithm was proposed.First,the irises were localized and utilized to initialize the shape model.Second,global face features with salient features were employed to constrain the movement of feature points;at last,in order to improve ASM,Color Gabor features was used to extract edges and corner points for feature,so we could get the key facial feature points quickly and accurately.Experimental results show that our algorithm performs significantly better than the traditional ASM.