In this paper, we present a 3D head models retrieval algorithm based on geometrical measurement for modeling. The proposed method mainly has two steps. Firstly we create a dataset of generic models and gain their feature points which are used to identify horizontal and vertical proportions. After extraction of individual frontal facial feature points, the most similar generic model can be chosen according to similarity criterion. Secondly these feature points are devoted to deform the chosen generic model with corresponding feature points using Radial Basis functions (RBF), and texture mapping makes it more realistic. The experiment results demonstrate that our new algorithm can retrieve the most similar model to reduce deformation error and photo- realistically render 3D face.