Automatic Synthesis of 3-D Facial Expression

Abstract

First, we explain the technique to produce the face expression change using the basic picture such as the expressionless face and the smiling automatically by the interpolation ability of the Kohonen neural networks (KNN) which is known as the competition networks. The three dimensional shape and the color information of the facial surface which is obtained by the range finder are used for the learning of the KNN. Next, as the method of searching the optimal path of the face expression change, DP matching is used. It uses the weight which was generated by the learning of KNN for the distance calculation of the DP matching. Lastly, we examine about the difference with the face expression which the photograph was actually taken and the face expression which was produced by KNN.