Abstract：In order to compensate the aging process in the face recognition, a new method was proposed for composing aged face images, considering both face shape and texture. First, a new warped face was obtained using the function trained according to radial basis function, and getting eight types of human faces in different ages; second, the image was filtered by multi-angled filters to extract the skin texture feature, which was translated and fused with the corresponding sub-images of the template image decided by the added age factor obtained by neural network, and the age-related texture information was added into the warped face. In addition, Guass filter was used to control the degree of the texture information of human face. finally a new aged face image was synthesized. Results of experiments show that this method can get a more actual face image.
2009, Vol. 30 
