An Error Driven 3D Face Modeling Scheme Based on Partial Differential Equations

With the rapid development of computer graphics, the Partial Differential Equations (PDE) based geometry reconstruction technique has recently been considered as a powerful tool for 3D face modeling. However, the challenge on the accuracy of the reconstructed 3D face still exists due to the diversity of facial expressions. In this paper, an error driven 3D face modeling scheme based on PDE is proposed. Given a required error threshold, the proposed 3D face modeling scheme will dynamically select the boundary curves and iteratively approach to the required PDE based 3D face model under the control of the error distribution strategy. Experiments have shown the feasibility of the proposed scheme. And the generated 3D face model features the higher flexibility and the descriptive ability.