Automatic extraction and matching of a set of significant feature points on different image views on the face is a very hard machine task.In this paper

in order to bypass this problem

our method recovers both the pose and the 3-D face coordinates using shape match morphing model and iterative minimization of a metric based on the structure match.A radial basis function (RBF) in 3D is used to morph a generic face into the specific face structure and shape context (SC) is used to descript point shape.Based on RBF and SC

shape distance is used to metric the similarity of two shapes.Experiment results are shown for images of real faces and promising result are obtained.