基于纹理细节分析的人脸图片老化模拟

he key problem of the facial image aging simulation is protecting the identity information during the texture synthesizing procedure. In this paper, we address the aging simulation problem by using the facial detail analysis. The proposed method decompose the facial image into several layers, namely, structure layer, detail layer and color layer. The structure layer protect the identity information of the test image, while the detail layer contains the age information from the given example image. We transfer the detail layer from the example image to the test images to generate the aging effects on the synthesized images. Considering the contributions from the neighbor images to the synthesized image, the images near the specific age are also considered in the proposed method. Besides, facial shape deformation is also considered in our model to improve the quality of the synthesized images. The Experimental results conducted on the FG-NET database demonstrates the effectiveness of the proposed method.