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This paper describes a case study concerning the virtual reconstruction and navigation of an archaeological site located in Moregine, near Pompeii as it appeared to archaeologists after the completion of the excavation and including the reconstruction of face and body appearance of a woman that found death there, during the eruption of 79 BC. The main challenges faced in this study concern the visual engine required to delivering possibly unlimited visual quality and the methodology for achieving an ethnically faithful face reconstruction from skull bones. The first objective is tackled by adopting a prerendering based visualization engine, through which environment navigation is achieved following pre-built paths and performing available actions through a context sensitive motion tracking based interface. Secondly, the plausible appearance of the woman's face is reconstructed exploiting an approach based on craniometrical analysis together with a pictorial physiognomic database and content-based image retrieval technology, to the aim of providing more faithful results compared to other methods in literature based solely on statistical data. [ABSTRACT FROM AUTHOR]

This paper describes a case study concerning the virtual reconstruction and navigation of an archaeological site located in Moregine, near Pompeii as it appeared to archaeologists after the completion of the excavation and including the reconstruction of face and body appearance of a woman that found death there, during the eruption of 79 BC. The main challenges faced in this study concern the visual engine required to delivering possibly unlimited visual quality and the methodology for achieving an ethnically faithful face reconstruction from skull bones. The first objective is tackled by adopting a prerendering based visualization engine, through which environment navigation is achieved following pre-built paths and performing available actions through a context sensitive motion tracking based interface. Secondly, the plausible appearance of the woman's face is reconstructed exploiting an approach based on craniometrical analysis together with a pictorial physiognomic database and content-based image retrieval technology, to the aim of providing more faithful results compared to other methods in literature based solely on statistical data. [ABSTRACT FROM AUTHOR]

The paper presents a face recognition system based on 3D features with the aim of verifying the identity of subjects accessing a controlled Ambient Intelligence Environment and customizing all the services accordingly. The proposed approach relies on stereoscopic face acquisition and 3D mesh reconstruction avoiding non-automated and expensive 3D scanners, unsuitable for real time applications in general. A bidimensional feature descriptor is extracted from each 3D mesh. It consists in a color image transferring face's 3D features in a 2D space. An automatic weighting mask of each authorized person improves the robustness of recognition in presence of diverse facial expressions and beard. The experiments conducted show high average recognition rate and a measurable effectiveness of both flesh mask and expression weighting mask. [ABSTRACT FROM AUTHOR]