A Method of Human Facial Portrait Generation Based on Features Exaggeration

Caricature is the art which has exaggerated feature without losing identifiable characteristics of true face. People like the caricature and the acceptance level is very high, along with the widely used cartoon. But the cartoon drawing is an artistic behavior and ordinary people has not been trained strictly, so it is very hard to draw a caricature for themselves or anyone else. Based on these, automatic generation system is born to simulate the caricature. However, the difficulty lies in feature exaggeration, which involves extracting features and establishing new exaggeration rules, and the current rules are not unified and integrated. So this paper devotes to establishing effective exaggeration rules, and puts it into practice. This paper takes the Thin Plate Spline to conduct the image distortion in order to achieve the face features exaggeration. Taking the Thin Plate Spline to distort image can achieve smooth effect, and then deformation only for exaggerating features, so it makes the computation easy. The source image after image distortion is slightly “real”, so we use Canny operator to extract face image edge, and use binary to keep texture information, which can generate sketch effect. Finally, a lot of tests demonstrate that the effect of face feature exaggeration is very good.