Facial Feature Point Location Algorithm And Its Application In Face Caricature Portrait

Caricature Face is an artistic image which refers to be both exaggerated and without losing the true face's identifiable features. In recent years, with the rapid development of computer technology, the issue of how to use computer to automatically generate caricature face portrait has become a research hot spot at home and abroad. In this paper, the research on face caricature portrait is studied from facial feature location, image warp, as well as face portrait three aspects.First of all, according to MPEG-4 standard, this paper use 78 feature points to express human face model, and use active shape model (ASM) method to locate feature points. However, due to lighting condition and other factors, it will lead to inaccurate feature point location due to model distortion. So, this paper proposes to construct an association degree evaluation function according to relations of feature points. This revises error feature points. The experimental results show that the algorithm is able to obtain highly accurate result than the traditional ASM.Second:When exaggerating facial personal features, just need user interaction, select the required deformation facial features, then can correspond to the characteristics of the location of feature points to adjust, and utilize image distortion algorithm based on feature lines can realized image deformation and obtain an exaggerated effects of human face images.In the end:In the process of portrait, this paper uses the positions of feature points and defines a brush stroke which can get gradient facial contours. So, the portrait can be more and more vivid.The experimental results show that the system can make an accurate facial feature points location, and can make a lively face cartoon portraits.