Metrological performance comparison of biometric system architectures for 3D face recognition

In this paper face classification systems based on 3D images are compared in terms of classification and metrological performance in presence of image uncertainty. In previous papers the authors proposed a new approach to recognition problems which exploits the estimation of the image uncertainty to provide the confidence level of classification results. Such approach is here adopted for comparing several 3D architectures different for camera specifications and geometrical positioning.