Automatic generation of portraits with multiple expressions

Portrait is a kind of art form, which can catch the features of a person, hide the details and keep the personal privacy. In this paper, an algorithm for automatic generation of human portrait with multiple expressions is presented. The Active Shape Model is used to extract facial features, and the set of Facial Animation Parameters is used to synthesis the multiple expressions for a neutral face. And with the gradient domain of the image and the Non-Photorealistic Rendering, the portrait-liked face images with multiple expressions can be generated automatically. The generated portraits are effective and vivid. They can be applied in non-photorealistic computer graphics and entertainment, such as video, network, newspapers and magazines.