Autorentext

Christian Degrigny is currently professor at Haute Ecole Arc Conservation-restauration (HE-Arc CR). Trained as an electrochemist, he obtained his PhD in analytical chemistry from University of Paris VI in 1990 and specialised then in the application of electrochemical techniques in metal conservation. He worked as a conservation scientist in France (1991-2001), director of studies of a conservation programme in Finland (2001-2002) and director of a diagnostic laboratofy at the Malta Centre for Restoration (2003-2005).

Sony George is currently Associate Professor at Colourlab at the Norwegian University of Science and Technology. Before joining NTNU, he worked as a researcher at Gjøvik University College Norway.

Jon Y. Hardeberg is Professor of Colour Imaging at the Department of Computer Science at The Norwegian University of Science and Technology, after a short industry career where he designed, implemented, and evaluated color imaging system solutions for multifunction peripherals and other imaging devices and systems.

Anneli T. Østlien is currently the project manager of the CHANGE project. Since 2019 she has also been managing another MSCA-ITN project called ApPEARS and been involved in the administration of other international project coordinated by Colorlab at NTNU - the Norwegian University of Science and Technology.

Klappentext

Cultural Heritage Analysis for New Generations takes cultural heritage digitization to a new level by exploring digital datasets for deeper analysis and interpretation in order to develop methodologies for the assessment of changes in cultural heritage objects by comparing and combining digital datasets captured at different time periods.

Cultural heritage objects have been constantly undergoing changes/degradation over time. In order to pass the legacy of these objects to future generations, it is important to monitor, estimate and understand these changes as accurately as possible. Over the years, cultural heritage digitization using scientific imaging techniques has become more widespread and has created a massive amount of datasets of different forms in 2D and 3D. This volume focuses on the processing and analysis of these datasets to make the greatest use of them, and their potential for insights in monitoring 'changes' in cultural heritage artifacts for conservation purposes. To do so, the volume takes an interdisciplinary approach combining expertise on imaging techniques, computing, CH, and conservation science.

Cultural Heritage Analysis for New Generations offers an invaluable new approach to the digitization of cultural heritage that serves not only the needs of conservation professionals, but also develops an interdisciplinary approach to which computer and imaging scientists are critical.

Inhalt

List of figures and tables; 1 Introduction; 2 Change in conservation and conservation science; 3 Spectral imaging for cultural heritage documentation and analysis; 4 Appearance and multi-angle imaging; 5 3D imaging; 6 A discussion on some methodological aspects in the study of metal soaps on painted metals; 7 From lab to in-situ approaches: applications of hyperspectral imaging to stained-glass windows; 8 Quality evaluation in cultural heritage digitization; 9 Application of hyperspectral imaging for characterization of corrosion for 2.5D and 3D model glass; 10 A multimodal methodology for pigment identification in artworks; 11 Arte-Profiler: An open-source tool for color profiling and accuracy assessment in cultural heritage photography; 12 Challenges in RTI data acquisition; 13 Quantifying the appearance of metallic gilding and "imitation" gilding; 14 Automated 3D registration techniques for applications in cultural heritage monitoring; 15 Identification of geometry changes from cultural heritage surfaces; 16 3D digital image correlation method for spatio-temporal monitoring of parchments; Conclusions; Index.