本文提出了一种新的个性化人脸衰老图像合成方法.基于已建立的黄种人脸图像数据库,提出了一种基于人脸外轮廓局部曲率标准差的个性化原型匹配算法,通过计算出表征人脸的脸型特征点的局部曲率标准差,在人脸图像数据库中匹配找出多幅图像,进行纹理增强的原型合成,再通过形状和颜色变换模型实现了人脸衰老图像的生成,能达到皱纹增加、眼袋生成、皮肤光泽减退、毛发变花白等具有真实感的衰老合成效果.实验表明本方法能方便逼真地合成不同种类的人脸在不同年龄段的衰老图像.
We propose a new image based individual prototyping method for facial aging image synthesis. Based on the human facial aging image database of the yellow race, we present an individual prototyping match algorithm based on the local standard deviation of curvatures of facial contour. By calculating the local standard deviation of those curvatures, we match the input facial image with several corresponding ones from the face database and synthesize the prototypes with texture enhancement. By the shape and color Wansformation model we generate the aged facial images. Our method can realize several important aged features such as wrinkles, pouches, darken skin, and somewhat white hair and eyebrows. Experiments show that our method can be easily manipulated and synthesize the anile facial images at different ages for various kinds of people realistically.