Gabor-SVM applied to 3D-2D deformed mesh model

We propose a robust method for 3D face recognition using 3D to 2D modeling and facial curvatures detection. The 3D-2D algorithm permits to transform 3D images into 3D triangular mesh, then the mesh model is deformed and fitted to the 2D space in order to obtain a 2D smoother mesh. Then, we apply Gabor wavelets to the deformed model in order to exploit surface curves in the detection of salient face features. The classification of the final Gabor facial model is performed using the support vector machines (SVM). To demonstrate the quality of our technique, we give some experiments using the 3D AJMAL faces database. The experimental results prove that the proposed method is able to give a good recognition quality and a high accuracy rate.