Individulized Head Modeling and Facial Animition Based on LED and Musle
Chen Xiao-chun · Microelectronics & Computer · 2005
Individualized head modeling from pictures and facial animation is a very interesting filed in computer graphics. This paper gives a new mothod to generate an individualized head modified from a generic model using two orthogonal pictures as input. First, we detect feature points by snake which is a fast algorithm for active contours estimation,then according to the method LBD(local elastic deformation) we modify the general head model into the individualized one, at last we get the texture image by splining front and side face pictures using multiresolution image mosaics.After modeling, we also can perform facial animation using the method and musle model. We also give the results which show the mothod is fast and efficient.