Reflectance hyperspectral data processing on a set of Picasso paintings: which algorithm provides what? A comparative analysis of multivariate, statistical and artificial intelligence methods

Costanza Cucci; Andrea Barucci; Lorenzo Stefani; Marcello Picollo; Reyes Jiménez-Garnica; Laura Fuster-Lopez

doi:10.1117/12.2593838

8 July 2021 Reflectance hyperspectral data processing on a set of Picasso paintings: which algorithm provides what? A comparative analysis of multivariate, statistical and artificial intelligence methods

Costanza Cucci, Andrea Barucci, Lorenzo Stefani, Marcello Picollo, Reyes Jiménez-Garnica, Laura Fuster-Lopez

Author Affiliations +

Proceedings Volume 11784, Optics for Arts, Architecture, and Archaeology VIII; 1178404 (2021) https://doi.org/10.1117/12.2593838
Event: SPIE Optical Metrology, 2021, Online Only

Abstract

Recently a new trend towards a more systematic use of Reflectance Hyperspectral imaging (HSI) has emerged in major museums. Extensive acquisition of HSI data opens up new research topics in terms of comparative analysis, creation and population of spectral databases, linking and crossing information. However, a full exploitation of these big-size data-sets unavoidably raises new issues about data-handling and processing methods. Along with statistical and multivariate analysis, new solutions can be borrowed from the Artificial Intelligence (AI) area, using Machine Learning (ML) and Deep Learning (DL) methods. In this work different algorithms based on multivariate analysis and Artificial Intelligence methods are comparitevely applied to process HSI data acquired on three Picasso’ paintings from the Museu Picasso collection in Barcellona. By using a “data-mining approach” the HSI-data are examined to unveil new correlations and extract embedded information.

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Costanza Cucci, Andrea Barucci, Lorenzo Stefani, Marcello Picollo, Reyes Jiménez-Garnica, and Laura Fuster-Lopez "Reflectance hyperspectral data processing on a set of Picasso paintings: which algorithm provides what? A comparative analysis of multivariate, statistical and artificial intelligence methods", Proc. SPIE 11784, Optics for Arts, Architecture, and Archaeology VIII, 1178404 (8 July 2021); https://doi.org/10.1117/12.2593838

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