{"id":1271,"date":"2023-03-08T09:21:15","date_gmt":"2023-03-08T09:21:15","guid":{"rendered":"https:\/\/grupo.us.es\/gapsc\/?page_id=1271"},"modified":"2026-04-07T09:25:23","modified_gmt":"2026-04-07T09:25:23","slug":"atenea","status":"publish","type":"page","link":"https:\/\/grupo.us.es\/gapsc\/atenea\/","title":{"rendered":"ATENEA"},"content":{"rendered":"\n

Artificial Intelligence Applied to the Characterization and Comparison of Fabrics of Canvases in Art Masterpieces<\/strong><\/em><\/p>\n\n\n\n

ABSTRACT<\/h3>\n\n\n\n

This project addresses the application of signal processing and artificial intelligence to the analysis of x-rays of paintings from the 16th-18th centuries. The objective is to develop methods and algorithms that are useful when it comes to simplifying and automating the work of painting conservators of this period, so that they are reliable, repeatable and can be applied in a standardized way. The proposal focuses, on the one hand, on the analysis of a work to extract descriptors that characterize it. Although the analysis of simple fabrics such as taffetas has been extensively studied, in certain works, such as a significant part of the Vel\u00e1zquez collection, current methods fail. Here it is proposed as a novelty to analyze these fabrics using deep learning. In addition, more complex twill fabrics by painters such as Murillo or El Greco have rarely been studied, and they will be characterized within the framework of this project. On the other hand, the main objective of this proposal is to be able to compare the degree of similarity between canvases, which allows us to conclude if a set of works were painted by the same author, in the same period or in the same place. The analysis of requirements is carried out in collaboration with the Museo Nacional del Prado, as well as the evaluation of the results.<\/p>\n\n\n\n

GOALS<\/h3>\n\n\n\n