A 3D model based approach for a face representation and recognition algorithm has been investigated as a robust solution for pose and illumination variation compared to 2D face recognition system. However, a 3D model based face recognition system is generally inefficient in computation time and complexity. In this paper, we propose a 3D face representation algorithm to optimize to have the same vertex number. Then, create an average model using processed 3D data. Finally, we evaluate fitting and face recognition performance based on 3D average model.