Aging Prediction of Cultural Heritage Samples Based on Surface Microgeometry
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Date
2018
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
A critical and challenging aspect for the study of Cultural Heritage (CH) assets is related to the characterization of the materials that compose them and to the variation of these materials with time. In this paper, we exploit a realistic dataset of artificially aged metallic samples treated with different coatings commonly used for artworks' protection in order to evaluate different approaches to extract material features from high-resolution depth maps. In particular, we estimated, on microprofilometric surface acquisitions of the samples, performed at different aging steps, standard roughness descriptors used in materials science as well as classical and recent image texture descriptors. We analyzed the ability of the features to discriminate different aging steps and performed supervised classification tests showing the feasibility of a texture-based aging analysis and the effectiveness of coatings in reducing the surfaces' change with time.
Description
@inproceedings{10.2312:gch.20181352,
booktitle = {Eurographics Workshop on Graphics and Cultural Heritage},
editor = {Sablatnig, Robert and Wimmer, Michael},
title = {{Aging Prediction of Cultural Heritage Samples Based on Surface Microgeometry}},
author = {Ciortan, Irina Mihaela and Marchioro, Giacomo and Daffara, Claudia and Pintus, Ruggero and Gobbetti, Enrico and Giachetti, Andrea},
year = {2018},
publisher = {The Eurographics Association},
ISSN = {2312-6124},
ISBN = {978-3-03868-057-4},
DOI = {10.2312/gch.20181352}
}