Artificial intelligence has been used to analyse high-resolution digital x-ray images of the world famous Ghent Altarpiece, as part of an investigative project led by UCL. The finding is expected to improve our understanding of art masterpieces and provide new opportunities for art investigation, conservation and presentation. Researchers from the National Gallery, Duke University and UCL worked with technical images acquired from the brothers Van Eyck’s Ghent Altarpiece, a large and complex 15th-century altarpiece in St Bavo’s Cathedral, Belgium. The paper, ‘Artificial Intelligence for Art Investigation: Meeting the Challenge of Separating X-ray Images of the Ghent Altarpiece’, demonstrates how academics used a newly developed algorithm to study mixed x-ray images containing features from the front and back of the painting’s double-sided panels, which scientists have deconstructed into two clear images. These images are part of a comprehensive set of high resolutio<\/p>\n","protected":false},"excerpt":{"rendered":"
Artificial intelligence has been used to analyse high-resolution digital x-ray images of the world famous Ghent Altarpiece, as part of […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":"","_links_to":"","_links_to_target":""},"categories":[97],"tags":[],"class_list":["post-14167","post","type-post","status-publish","format-standard","hentry","category-publications"],"yoast_head":"\n