Based On The Text-driven Facial Animation Face Model Reconstruction

Facial modeling and animation is now attracting more and more special attention than ever before during the last 30 years as an identifiable branch of computer graphics. With the development of movie stunt,electronic games,virtual meeting,the research in this field has stood in the forefront. This paper concentrates on developing face animation system with personalized model. Its purpose is to offer analyst according the input text,and automatically produce a personalized face model,with the explanation for the animation serial of these texts. The word personalized,we referred to above,is given in such a context that face models could be developed for distinguished users.The importance and the key issue of human face modeling and animation technology will be covered in chapter one. The chapter two will give some fundamental ideas about human face animation technology,with some review for these technologies. Also,we will introduce the MPEG-4 supported facial animated system.In this paper,our personalized facial model algorithm is the automatic facial 3D reconstruction based on two orthogonal photos. Excellence of this method lies in low cost as well as fast speed. The detail of this algorithm is the main content of chapter 4. The basic idea is to obtain the 3D position of those feature points through detecting their 2D position. Feature points detection s automation and accuracy is a key issue,which is an important research topic in this paper.Based on deriving personalized facial modeling,the paper makes research on text driven facial animation. Through analyzing the characteristic of PuTongHua,we define a basic set of visemes,and put forward a muscle based lip model,to realize facial animation,the lip s animation in particular.