Automatic face recognition is becoming increasingly important due to the security applications derived from it. Although the face recognition problem has focused on 2D images, recently, due to the proliferation of 3D scanning hardware, 3D face recognition has become a feasible application. This 3D approach do not use the colour of the faces, so, when it is compared to the more traditional 2D ap...

by Xin Chen The growing need for effective biometric identification is widely acknowledged. Identifying an individual from his or her face is one of the most non-intrusive modalities in biometrics. Major challenges to face recognition system robustness include illumination and pose variations. This work introduces foundational research addressing two-dimensional intensity, infrared, three-dimen...

This paper addresses the problem of 3D face recognition using simultaneous sparse approximations on the sphere. The 3D face point clouds are first aligned with a novel and fully automated registration process. They are then represented as signals on the 2D sphere in order to preserve depth and geometry information. Next, we implement a dimensionality reduction process with simultaneous sparse a...

In this paper, an original hybrid 2D-3D face recognition approach is proposed using two orthogonal face images, frontal and side views of the face, to reconstruct the complete 3D geometry of the face. This is obtained using a model based solution, in which a 3D template face model is morphed according to the correspondence of a limited set of control points identified on the frontal and side im...

This work analyses dense and sparse 3D Deformation Signatures to represent temporal deformation instances. The signatures are employed in dynamic face recognition, however, they applicable other domains. is demonstrated for expression recognition. pushing need non-intrusive bio-metric measurements made its expressions recognition dominant players domains like entertainment, surveillance securit...