Stefano Ricciardi

TL;DR: This survey focuses on recognition, and leaves the detection and feature extraction problems in the background, because the kind of features used to code the iris pattern may significantly influence the complexity of the methods and their performance.

TL;DR: This paper proposes the use of a rotation invariant descriptor, namely GFD (generic Fourier descriptor), to extract meaningful features from ear images, and shows this descriptor to be quite robust to both ear rotations and illumination changes.

TL;DR: A comprehensive method for iris authentication on mobiles by means of spatial histograms is described and tested, featuring subjects captured indoor and outdoor under controlled and uncontrolled conditions by Means of built-in cameras aboard three among the most diffused smartphones/tablets on the market.

TL;DR: This study shows that a better solution may come from the combination of virtual reality techniques and haptic interaction, and presents the results of a research aimed at testing and evaluating the effectiveness of the haptic feedback for first-person maintenance tasks targeted to the aerospace industry.

TL;DR: The ArkaeVision project is aimed at enabling a new way of enjoying Cultural Heritage through a more engaging and culturally-qualified user experience, and Evaluations conducted on a preliminary prototype suggested that the communicative approach is very promising for education and engagement into cultural heritage experiences.