Methodologies for 3D face recognition which work in the presence of occlusions are core for
the current needs in the field of identification of suspects, as criminals try to take advantage …

We provide an introduction to Multiple Classifier Systems (MCS) including basic
nomenclature and describing key elements: classifier dependencies, type of classifier …

Face recognition (FR) is one of the most extensively investigated problems in computer
vision. Significant progress in FR has been made due to the recent introduction of the larger …

In this paper, a dataset, named 3DBodyTex, of static 3D body scans with high-quality texture
information is presented along with a fully automatic method for body model fitting to a 3D …

In this study, a fully automatic pose and expression invariant 3D face alignment algorithm is
proposed to handle frontal and profile face images which is based on a two pass course to …

Illumination variation is one of the well-known problems in face recognition, especially in
uncontrolled environments. This chapter presents an extensive and up-to-date survey of the …

Accurate and efficient feature descriptors are crucial for the success of many pattern
recognition tasks including human identification. Existing studies have shown that features …

Depth from defocus is a ranging method that provides depth estimation at every pixel in an
image. It uses a pair of defocused images from a conventional monocular camera. To …

La biométrie est une technologie émergente qui propose de nouvelles méthodes de
contrôle, d'identification et de sécurité. Les systèmes biométriques sont souvent victimes de …

Biometrics is a rising technology, which has been extensively used in robotics areas
financial services, forensics, secured access, prison security, medical, telecommunication …