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We propose a method for reconstructing 3D face shape from a camera, which captures the object face from various viewing angles. In this method, we do not directly reconstruct the shape, but estimate a small number of parameters which represent the face shape. The parameter space is constructed with principal component analysis of database of a large number of face shapes collected for different people. By the PCA, the parameter space can represent the shape difference for the faces of various persons. From the input image sequence that is captured by the moving camera, the parameters of the object face can be estimated based on optimization framework. The experiments based on the proposed method demonstrate that the proposed method can reconstruct the facial shape with the accuracy of 2.5 mm averaged error.