We’re glad to invite you to the open presentation of Amalia Siatou PhD project that was conducted in collaboration between the Imaging and Artificial Vision Laboratory (ImViA), University of Burgundy France Compte (UBFC), Dijon-France, and the Dpt. of Conservation-Restoration of Haute Ecole Arc (HE-Arc CR), University of applied science and arts of Western Switzerland (HES-SO) in the framework of H2020 MSCA-ITN CHANGE.
The composition of the jury is the following:
- M. El Mustapha MOUADDIB – Rapporteur
- M. Jacek MARTUSEWICZ – Rapporteur
- Mme Valérie GOUET-BRUNET – Examinatrice
- M. Antonino COSENTINO – Examinateur
- M. Gaëtan LE GOIC – Co-encadrant de thèse
- Mme Laura BRAMBILLA – Co-encadrant de thèse
- M. Christian DEGRIGNY – Co-encadrant de thèse
- M. Alamin MANSOURI – Directeur de thèse
Abstract
Current advances in imaging techniques allow for fast, easy-to-use, non-destructive instrumentation that can be routinely used to identify, understand, and predict surface alterations. To this extent, this thesis exploits Reflectance Transformation Imaging. This technique can accurately describe a surface’s appearance by collecting multiple images of the same scene, varying only the light positions around an object. The main interest is to propose methodologies for detecting surface optical properties, tracking their change over time, and isolating information related to surface changes. These methodologies are examined on cultural heritage metal objects to propose new conservation documentation tools for automating current processes. These tools can help identify the surface’s appearance characteristics and detect when and where a change occurs. Examples of corrosion evolution and cleaning treatments demonstrate their application.
