In order to generate a facial expression model, wire frame model is generally used from the viewpoint of limitation in terms of computational speed and quantity of work. However, a wire frame model is not adequate for building a more highly accurate model. On the other hand, some previous works investigated difference of facial features between male and female faces, by means of a morphable 3D face model obtained by applying PCA to a set of various 3D face data. We thus applied the latter approach to the task of facial expression generation.