Abstract: A simple and efficient linear 3D deformable model is proposed to reconstruct individuation 3D human face.First,a standardized 3D face database based on resampling of key feature region is built to realize the dense correspondence among faces.Then,the faces of which singular value vector is most similar to the target face are selected as the basic space to choose components of morphable model dynamically.Finally,the original morphable model is replaced to a feature-point based sparse morphable model to reduce the difficulty of solving linear combination coefficients.The experimental results show that this method has the short modeling time and low complexity,and can generate a realistic 3D faces from a few landmarks of real-world photos.