3D face matching using the surface interpenetration measure

Abstract

3D face recognition has gained growing attention in the last years, mainly because both the limitations of 2D images and the advances in 3D imaging sensors. This paper proposes a novel approach to perform 3D face matching by using a new metric, called the Surface Interpenetration Measure (SIM). The experimental results include a comparison with a state-of-art work presented in the literature and show that the SIM is very discriminatory as confronted with other metrics. The experiments were performed using two different databases and the obtained results were quite similar, showing the robustness of our approach. © Springer-Verlag Berlin Heidelberg 2005.