Italian Aerospace Research Centre

About: Italian Aerospace Research Centre is a other organization based out in Capua, Campania, Italy. It is known for research contribution in the topics: Aerodynamics & Morphing. The organization has 278 authors who have published 400 publications receiving 3563 citations. The organization is also known as: CIRA & Italian Aerospace Research Center.

Recommendation of Multimedia Objects for Social Network Applications

Abstract: Recommender systems help people in retrieving information that match their preferences by recommending products or services from a large number of candidates, and support people in making decisions in various contexts: what items to buy , which movie to watch or even who they can invite to their social network . They are especially useful in environments characterized by a vast amount of information, since they can e↵ectively select a small subset of items that appear to fit the user’s needs. We present the main points related to recommender systems using multimedia data, especially for social networks applications. We also describe, as an example, a framework developed at the University of Naples “Federico II”. It provides customized recommendations by originally combining intrinsic features of multimedia objects (low-level and semantic similarity), past behavior of individual users and overall behavior of the entire community of users, and eventually considering users’ preferences and social interests.

Design of an MR Based on Device for the Adaptive Stiffness Control of Tail Shafts

Abstract: Vertical tail design is driven by many elements concerning directional stability and directional control. The overall size of a vertical tail is mainly determined by the stability requirements, whi...

Template gradient matching in spherical images

Abstract: Most of today's robot vehicles are equipped with omnidirectional sensors which provide surround awareness and easier navigation. Due to the persistence of the appearance in omnidirectional images, many global navigation or formation control tasks, instead of using landmarks or fiducials, they need only reference images of target positions or objects. In this paper, we study the problem of template matching in spherical images. The natural transformation of a pattern on the sphere is a 3D rotation and template matching is the localization of a target in any orientation given by a reference image. Unfortunately, the support of the template is space variant on the Euler angle parameterization. Here we propose a new method which matches the gradients of the image and the template, with space-invariant operation. Using properties of the angular momentum, we have proved in fact that the gradient correlation can be very easily computed by the 3D Inverse Fourier Transform of a linear combination of spherical harmonics. An exhaustive search localizes the maximum of this correlation. Experimental results on real data show a very accurate localization with a variety of targets. In future work, we plan to address targets appearing in different scales.