Synthesis of 3D Aging Faces Based on Color Gabor Wavelet and Texture Transplant

Facial aging synthesis is one of the main topics in computer graphics. This paper proposes a synthetic approach to 3D aging faces by using color Gabor wavelet and texture transplant techniques. Based on 3D aging templates, the color Gabor wavelet transform is carried out first to extract the high-frequency sub-images from the texture maps, in which is contained the texture feature of aging skin. Then the corresponding sub-images of target facial images are replaced and fused. The transplant of aging texture towards target face is finally achieved through wavelet reconstruction. The experimental results show that the aging features can be extracted effectively by wavelet transform and be used to synthesize the 3D aging face of the target face.