https://m2.mtmt.hu/ hun 2026-08-26 03:28 JournalArticle 36181166 VALIDATED true WoS:hiba:001544981100016 2025-12-29 09:44 típus nem egyezik 0 false 2026-05-17T18:29:56.389+0000 2026-01-26T09:48:33.081+0000 2025-06-06T07:10:00.914+0000 true 10072271 Andódy Katalin /api/admin/10072271 Admin true 2026-01-26T09:46:33.410+0000 2026-01-26T09:46:33.410+0000 2026-01-26T09:48:30.054+0000 true 10051300 Háromszéki-Virág Fruzsina /api/admin/10051300 Admin true 10051300 2026-01-26T09:48:33.086+0000 true 10051300 Háromszéki-Virág Fruzsina /api/admin/10051300 Admin true 10051300 true false true 24 24 /api/publicationtype/24 PublicationType 1 true 24 JournalArticle true 10000059 Article true 24 24 /api/publicationtype/24 PublicationType 1 true 24 JournalArticle /api/subtype/10000059 Szakcikk SubType 101 true 10000059 true 1 /api/category/1 Category true 1 Di Domenico, Nicolò San Vitale Challenge: Automatic Reconstruction of Ancient Colored Glass Windows true true /api/journal/3029 REVIEWED true false 3029 false 3029 true 0302-9743 1611-3349 Journal FOREIGN LNCS 15628 263 278 263 16 2025 true 339391 /api/conference/339391 true 10745 true 10020 /api/country/10020 Country true 16 /api/city/10745 City true 1312566 Conference true The sixth-century Basilica of San Vitale in Ravenna, Italy, once featured intricate circular colored glass windows that illuminated its interior. Although these windows are now lost, several fragments were recovered during recent restorations. Unfortunately, reconstructing the original glass windows from these fragments is extremely complex and time-consuming, requiring the use of specialized expertise. Therefore, the development of automatic reconstruction techniques based on Artificial Intelligence is particularly important and challenging, due to, for instance, the presence of uniform color, damaged glass edges, and many fragment outliers. In this direction, the San Vitale Challenge was organized to gather the best methods and algorithms, as described and summarized in this paper. The challenge, split into several sub-tracks of increasing difficulty and realism, received the submission of several solutions, ranging from more classical computer vision algorithms to purely deep learning-based approaches, whose results are quantitatively evaluated and compared. In the last part of the paper, directions for future developments of such systems are discussed. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. true 2025 true true true true true false NONE 2026-05-17 false 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Q2 A false false false false 2025-06-05T08:00:20.068+0000 Számítástudományi és Információelméleti Tanszék (BME / VIK) 1 5 1 22 0 false Language 10002 /api/language/10002 Angol English true 2 true PersonAuthorship 126831222 /api/authorship/126831222 1 0.045 true false true Di Domenico Nicolò true false false AuthorshipType 1 /api/authorshiptype/1 0 true 0 true false true PersonAuthorship 126831223 /api/authorship/126831223 2 0.045 false false false Borghi Guido true false false AuthorshipType 1 /api/authorshiptype/1 0 true 0 true false true PersonAuthorship 126831224 /api/authorship/126831224 3 0.045 false false false Franco Annalisa true false false AuthorshipType 1 /api/authorshiptype/1 0 true 0 true 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Földtudományok Osztálya HAS Section of Earth Sciences (X.) true 70 true true true A true true SjrRating 11569076 /api/sjrrating/11569076 167 0.49 book series RatingType 10002 /api/ratingtype/10002 sjr true true ClassificationExternal 1701 /api/classificationexternal/1701 true 1701 true Q2 DIRECT true true /api/publication/36181166 <div class="JournalArticle Publication long-list"> <div class="authors"> <img title="Forrásközlemény" style="float: left" src="/frontend/resources/grid/publication-core-icon.png"> <div class="autype autype0"> <span class="author-name" >Di Domenico Nicolò ✉ </span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" >Borghi Guido </span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" >Franco Annalisa </span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" >Boschetti Marco </span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" >Giacomini Federica </span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" >Barzaghi Sebastian </span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" >Ferucci Silvia </span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" >Zambruno Simone </span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" >Mularoni Lorenzo </span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" >Gao Qiong </span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" >Che Chenyue </span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" >Li Guoxin </span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" >Zu Yanyan </span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" >Hao Jiayao </span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" >Zhang Junpei </span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" >Dúcz Ákos </span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" >Gegő Levente </span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" >Imeri Klevis </span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" mtid="10087185"><a href="/gui2/?type=authors&mode=browse&sel=10087185" target="_blank">Nemkin Viktória (<span class="authorship-author-name">Nemkin Viktória</span> <span class="authorAux-mtmt"> algoritmuselmélet, kvantumalgoritmusok</span>) </a> </span> <span class="author-affil"><span title="Budapesti Műszaki és Gazdaságtudományi Egyetem">BME</span>/<span title="Villamosmérnöki és Informatikai Kar">VIK</span>/Számítástudományi és Információelméleti Tanszék</span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" >Rakhmatillaev Azam </span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" >Szatmári Soma </span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" >Rowan William </span> </div> </div> <div class="title"><a href="/gui2/?mode=browse&params=publication;36181166" target="_blank">San Vitale Challenge: Automatic Reconstruction of Ancient Colored Glass Windows</a></div> <div> <span class="journal-title">LECTURE NOTES IN COMPUTER SCIENCE</span> <span class="journal-issn">(<a target="_blank" href="https://portal.issn.org/resource/ISSN/0302-9743">0302-9743</a> <a target="_blank" href="https://portal.issn.org/resource/ISSN/1611-3349">1611-3349</a>)</span>: <span class="journal-volume">LNCS</span> <span class="journal-issue">15628</span> <span class="page"> pp 263-278 </span> <span class="year">(2025)</span> <div class="conference"> 18th European Conference on Computer Vision, ECCV 2024. Konferencia helye, ideje: <span class="location">Milan, Olaszország <span class="conference-date">2024.09.29. - 2024.10.04.</span> </div> </div> <div class="pub-footer"> <span class="language" xmlns="http://www.w3.org/1999/html">Nyelv: Angol | </span> <span class="identifiers"> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="10.1007/978-3-031-91572-7_16" target="_blank" href="https://doi.org/10.1007/978-3-031-91572-7_16"> DOI </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="001544981100016" target="_blank" href="https://www.webofscience.com/wos/woscc/full-record/001544981100016"> WoS </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="105006893447" target="_blank" href="http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-105006893447"> Scopus </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="https://link.springer.com/chapter/10.1007/978-3-031-91572-7_16" target="_blank" href="https://link.springer.com/chapter/10.1007/978-3-031-91572-7_16"> Egyéb URL </a> </span> </span> <OnlyViewableByAuthor><div class="ratings"> <div class="journal-subject">Folyóirat szakterülete: Scopus - Computer Science (miscellaneous)&nbsp;&nbsp;&nbsp;SJR indikátor:&nbsp;Q2</div> <div class="journal-subject">Folyóirat szakterülete: Scopus - Theoretical Computer Science&nbsp;&nbsp;&nbsp;SJR indikátor:&nbsp;Q3</div> <div class="journal-subject">X. Földtudományok Osztálya XFO&nbsp;&nbsp;&nbsp;A</div> </div></OnlyViewableByAuthor> <div class="mtid"><span class="long-pub-mtid">Közlemény: 36181166</span> | <span class="status-data status-VALIDATED"> Egyeztetett </span> Forrás | <span class="type-subtype">Folyóiratcikk ( Szakcikk ) </span> | <span class="pub-category">Tudományos</span> | <span class="publication-sourceOfData">Scopus</span> </div> <div class="lastModified">Utolsó módosítás: 2026.01.26. 10:48 Háromszéki-Virág Fruzsina (MTMT Központi admin) </div> <pre class="comment" style="margin-top: 0; margin-bottom: 0;"><u>Megjegyzés</u>: WoS:hiba:001544981100016 2025-12-29 09:44 típus nem egyezik</pre> </div></div>