Information fusion for 3D face recognition

The complexity of human face expressions makes its information duplication difficult. A studied approach that combines different 3D facial recognition algorithms could overcome the weak information that is recovered from each algorithm individually. In this paper, it is shown that 3D face recognition subjected to facial expression is improved by combining three different algorithms. The results generated using a subset of the Face Recognition Grand Challenge v2 demonstrate the success of the proposed approach in terms of facial recognition.