用计算机模拟人脸老化过程已成为计算机视觉领域的热点研究问题。本文研究了人脸老化过程模拟中形状和纹理特征的渐变规律，提出了基于人脸层次结构的非线性老化模型，对人脸的整体层和细节层分别进行老化过程模拟，结合局部五官与相应皱纹的密切联系，应用于人脸局部皱纹老化过程模拟，最后根据人脸的层次结构逆向合成具有目标年龄特征的人像。以MORPH人像库为测试样本的实验结果表明，采用非线性老化过程模拟和基于局部五官相似性的皱纹老化模拟是有效的。

In this paper we present a face aging model as an nonlinear process based on the relationship of the local features and the multiresolution structure so as to show prominent personality features,to map the aging process of most similar local features to the target image by parameter compensation, and finally it correspond to the ordinary rules and exhibits personality that is the fusion of global and local aging results. The experimental results show that the nonlinear simulating face aging process based on similarity is flexible and effective.