{"id":4162,"date":"2024-05-07T08:49:03","date_gmt":"2024-05-07T06:49:03","guid":{"rendered":"https:\/\/thewholepicture.fr\/?page_id=4162"},"modified":"2024-05-07T08:49:03","modified_gmt":"2024-05-07T06:49:03","slug":"unveiling-the-secrets-of-paintings","status":"publish","type":"page","link":"https:\/\/thewholepicture.fr\/en\/unveiling-the-secrets-of-paintings\/","title":{"rendered":"Unveiling the secrets of paintings"},"content":{"rendered":"<div class=\"fusion-fullwidth fullwidth-box fusion-builder-row-1 fusion-flex-container nonhundred-percent-fullwidth non-hundred-percent-height-scrolling\" style=\"background-color: rgba(255,255,255,0);background-position: center center;background-repeat: no-repeat;border-width: 0px 0px 0px 0px;border-color:#eae9e9;border-style:solid;\" ><div class=\"fusion-builder-row fusion-row fusion-flex-align-items-flex-start\" style=\"max-width:1206.4px;margin-left: calc(-4% \/ 2 );margin-right: calc(-4% \/ 2 );\"><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-0 fusion_builder_column_1_1 1_1 fusion-flex-column\"><div class=\"fusion-column-wrapper fusion-flex-justify-content-flex-start fusion-content-layout-column\" style=\"background-position:left top;background-repeat:no-repeat;-webkit-background-size:cover;-moz-background-size:cover;-o-background-size:cover;background-size:cover;padding: 0px 0px 0px 0px;\"><style type=\"text\/css\">@media only screen and (max-width:640px) {.fusion-title.fusion-title-1{margin-top:30px!important; margin-right:0px!important;margin-bottom:20px!important;margin-left:0px!important;}}@media only screen and (max-width:480px) {.fusion-title.fusion-title-1{margin-top:30px!important; margin-right:0px!important;margin-bottom:20px!important; margin-left:0px!important;}}<\/style><div class=\"fusion-title title fusion-title-1 fusion-sep-none fusion-title-text fusion-title-size-one\" style=\"margin-top:30px;margin-right:0px;margin-bottom:20px;margin-left:0px;\"><h1 class=\"title-heading-left\" style=\"margin:0;\"><p>Unveiling the secrets of paintings:<br \/>\ndeep neural networks trained on high-resolution multispectral images for accurate attribution and authentication<\/p><\/h1><\/div><div class=\"fusion-text fusion-text-1\"><p><strong>Michael E. Sander,\u00a0\u00a0Tom Sander, and\u00a0\u00a0Maxime Sylvestre<\/strong><\/p>\n<\/div><style type=\"text\/css\">@media only screen and (max-width:640px) {.fusion-title.fusion-title-2{margin-top:30px!important; margin-right:0px!important;margin-bottom:20px!important;margin-left:0px!important;}}@media only screen and (max-width:480px) {.fusion-title.fusion-title-2{margin-top:30px!important; margin-right:0px!important;margin-bottom:20px!important; margin-left:0px!important;}}<\/style><div class=\"fusion-title title fusion-title-2 fusion-sep-none fusion-title-text fusion-title-size-two\" style=\"margin-top:30px;margin-right:0px;margin-bottom:20px;margin-left:0px;\"><h2 class=\"title-heading-left\" style=\"margin:0;\">Abstract<\/h2><\/div><div class=\"fusion-text fusion-text-2\"><p>Attribution and authentication of paintings are difficult tasks, often based on human expertise. In this work, we present SpectrumArt: a new dataset of multispectral (13 channels) image patches of paintings acquired at very high resolution (800 pixels per mm2 ). We train deep neural networks on SpectrumArt for attribution (i.e., authorship classification) and authentication (i.e., whether of undisputed origin). For attribution, we obtain an accuracy of 92% on a test set of patches coming from unseen paintings. We also propose two classification metrics for attribution of full paintings based on the prediction for the patches: majority vote and entropy weighted vote. Both metrics lead to an attribution score of 100% on unseen paintings. For authenticity testing, our model agrees with the experts\u2019 conclusions on genuine and fake paintings, and provides new insights into the authenticity of paintings where the expert community is divided by proposing a spectral matching score between the painting and an artist. To validate the important advantage of our data collection method, we show that the use of 13 channels instead of 3 and the high resolution of the data significantly improve the accuracy of our models.<\/p>\n<p>(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.<\/p>\n<\/div><div class=\"fusion-text fusion-text-3\"><p><strong>Citation :<\/strong><\/p>\n<p>Michael E. Sander, Tom Sander, and Maxime Sylvestre &#8220;Unveiling the secrets of paintings: deep neural networks trained on high-resolution multispectral images for accurate attribution and authentication&#8221;, Proc. SPIE 12749, Sixteenth International Conference on Quality Control by Artificial Vision, 1274917 (28 July 2023); <a href=\"https:\/\/doi.org\/10.1117\/12.3000286\" target=\"_blank\" rel=\"noopener\">https:\/\/doi.org\/10.1117\/12.3000286<\/a><\/p>\n<p><strong>Source :<\/strong><\/p>\n<p><a href=\"https:\/\/www.spiedigitallibrary.org\/conference-proceedings-of-spie\/12749\/1274917\/Unveiling-the-secrets-of-paintings--deep-neural-networks-trained\/10.1117\/12.3000286.short\" target=\"_blank\" rel=\"noopener\">https:\/\/www.spiedigitallibrary.org\/conference-proceedings-of-spie\/12749\/1274917\/Unveiling-the-secrets-of-paintings&#8211;deep-neural-networks-trained\/10.1117\/12.3000286.short<\/a><\/p>\n<\/div><\/div><style type=\"text\/css\">.fusion-body .fusion-builder-column-0{width:100% !important;margin-top : 0px;margin-bottom : 0px;}.fusion-builder-column-0 > .fusion-column-wrapper {padding-top : 0px !important;padding-right : 0px !important;margin-right : 1.92%;padding-bottom : 0px !important;padding-left : 0px !important;margin-left : 1.92%;}@media only screen and (max-width:640px) {.fusion-body .fusion-builder-column-0{width:100% !important;order : 0;}.fusion-builder-column-0 > .fusion-column-wrapper {margin-right : 1.92%;margin-left : 1.92%;}}@media only screen and (max-width:480px) {.fusion-body .fusion-builder-column-0{width:100% !important;order : 0;}.fusion-builder-column-0 > .fusion-column-wrapper {margin-right : 1.92%;margin-left : 1.92%;}}<\/style><\/div><\/div><style type=\"text\/css\">.fusion-body .fusion-flex-container.fusion-builder-row-1{ padding-top : 0px;margin-top : 0px;padding-right : 0px;padding-bottom : 0px;margin-bottom : 0px;padding-left : 0px;}<\/style><\/div>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v20.6 - 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