Deterioration estimation of paintings by means of combined 3D and hyperspectral data analysis

Luís Granero-Montagud; Cristina Portalés; Begoña Pastor-Carbonell; Emilio Ribes-Gómez; Antonio Gutiérrez-Lucas; Vivi Tornari; Vassilis Papadakis; Roger M. Groves; Beril Sirmacek; Alessandra Bonazza; Izabela Ozga; Jan Vermeiren; Koen van der Zanden; Matthias Föster; Petra Aswendt; Albert Borreman; Jon D. Ward; António Cardoso; Luís Aguiar; Filipa Alves; Polonca Ropret; José María Luzón-Nogué; Christian Dietz

doi:10.1117/12.2020336

30 May 2013 Deterioration estimation of paintings by means of combined 3D and hyperspectral data analysis

Luís Granero-Montagud, Cristina Portalés, Begoña Pastor-Carbonell, Emilio Ribes-Gómez, Antonio Gutiérrez-Lucas, Vivi Tornari, Vassilis Papadakis, Roger M. Groves, Beril Sirmacek, Alessandra Bonazza, Izabela Ozga, Jan Vermeiren, Koen van der Zanden, Matthias Föster, Petra Aswendt, Albert Borreman, Jon D. Ward, António Cardoso, Luís Aguiar, Filipa Alves, Polonca Ropret, José María Luzón-Nogué, Christian Dietz

Author Affiliations +

Proceedings Volume 8790, Optics for Arts, Architecture, and Archaeology IV; 879008 (2013) https://doi.org/10.1117/12.2020336
Event: SPIE Optical Metrology 2013, 2013, Munich, Germany

Abstract

Deterioration of artwork, in particular paintings, can be produced by environmental factors such as temperature fluctuations, relative humidity variations, ultraviolet radiation and biological factors among others. The effects of these parameters produce changes in both the painting structure and chemical composition. While well established analytical methodologies, such as those based in Raman Spectroscopy and FTIR Spectroscopy require the extraction of a sample for its inspection, other approaches such as hyperspectral imaging and 3D scanning present advantages for in-situ, noninvasive analysis of artwork. In this paper we introduce a novel system and the related methodology to acquire process, generate and analyze 4D data of paintings. Our system is based on non-contact techniques and is used to develop analytical tools which extract rich 3D and hyperspectral maps of the objects, which are processed to obtain accurate quantitative estimations of the deterioration and degradation present in the piece of art. In particular, the construction of 4D data allows the identification of risk maps on the painting representation, which can allow the curators and restorers in the task of painting state evaluation and prioritize intervention actions.

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Luís Granero-Montagud, Cristina Portalés, Begoña Pastor-Carbonell, Emilio Ribes-Gómez, Antonio Gutiérrez-Lucas, Vivi Tornari, Vassilis Papadakis, Roger M. Groves, Beril Sirmacek, Alessandra Bonazza, Izabela Ozga, Jan Vermeiren, Koen van der Zanden, Matthias Föster, Petra Aswendt, Albert Borreman, Jon D. Ward, António Cardoso, Luís Aguiar, Filipa Alves, Polonca Ropret, José María Luzón-Nogué, and Christian Dietz "Deterioration estimation of paintings by means of combined 3D and hyperspectral data analysis", Proc. SPIE 8790, Optics for Arts, Architecture, and Archaeology IV, 879008 (30 May 2013); https://doi.org/10.1117/12.2020336

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