Individualized 3D Face Model Reconstruction using Two Orthogonal Face Images

In this paper, there are two main topics to generate a 3D facial model from 2D face images. The first topic is to extract facial components such as eyebrows, eyes, nose, ear, mouth and face contour on the face images, and the second is to create 3D individualized face model using extracted facial components information at previous step. The generated final face model has an individualized shape, realistic skin texture and deformable structure for facial animation. In this paper, we propose novel approach to detect facial components automatically using a active contour extraction algorithm(Active Contour Model, Snake) for facial information. And how to generate adaptive individualized 3D face model from detected facial components are explained and result of 3D face models are discussed.