Applications have been developed for analysis, preventive conservation, and restoration of artwork or famous manuscripts. In detail:
Analysis of frescoes: study of methods for the reconstruction of damaged frescoes or, more in general, fragmented images. In particular: creation of a dataset of simulated fresco fragments in collaboration with the Université Paris-Saclay and the Università degli Studi di Salerno (project ARTEAK, from September 2021 to August 2025); a creation of a dataset for digital anastylosis of frescoes (DAFNE, 2019); the application of generative AI techniques to virtual reconstruction of frescoes.
Generative AI techniques for virtual reconstruction of frescoes: these techniques, emerged in recent years, can automatically create multimedia content of any type. In this specific case, they have been applied in the field of digital humanities to create images, that show a possible solution for the virtual reconstruction of damaged frescoes of the Castle of Mirabello. Goal was to create immersive and interactive experiences for a virtual visit of the castle, with the integration of real and virtual items into a digital context.
Image processing and 3D modeling of historical musical instruments: in progress since 2014, in collaboration with Arvedi Laboratory of Non Invasive Diagnostics of University of Pavia. The objective is the analysis of surface and morfology of historical musical instruments, with a special focus on violins and other string musical instruments held in the Museo del Violino of Cremona (Italy).
Writing analysis of Stradiviari’s relics: carried out from 2016 to 2018, in collaboration with Arvedi Laboratory of Non Invasive Diagnostics of University of Pavia. The goal was studying the working notes present on Antonio Stardivari’s relics, a collection of artifacts, technical drawings and wood molds used by the famous violin maker between the 17th and the 18th century, currently held in “Museo del Violino” of Cremona (Italy).
Get In Touch
Laboratorio di Visione Artificiale e Multimedia
Dipartimento di Ingegneria Industriale e dell’Informazione
Università di Pavia
Via Ferrata 5, 27100 Pavia - ITALY
Computer Vision and