Human Ear Surface Reconstruction Through Morphable Model Deformation

In this paper, a novel fully automated method is developed to acquire an accurate surface 3D reconstruction of the human ear by using multi-view stereo vision and morphable model without texture. As the results show, our method outperform state of the art approaches. Our method is based on using a template to estimate the pose and orientation of the camera without relying on correspondences, and after dense reconstruction is done, the ear morphable model is fitted on this point cloud by minimizing the distance between them, the form of the model can be transform as wished by its coefficients, and it only uses shape without relying on texture to converge its coefficients.