San Vitale Challenge: Automatic Reconstruction of Ancient Colored Glass Windows
Abstract
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.
Cite
Text
Di Domenico et al. "San Vitale Challenge: Automatic Reconstruction of Ancient Colored Glass Windows." European Conference on Computer Vision Workshops, 2024. doi:10.1007/978-3-031-91572-7_16Markdown
[Di Domenico et al. "San Vitale Challenge: Automatic Reconstruction of Ancient Colored Glass Windows." European Conference on Computer Vision Workshops, 2024.](https://mlanthology.org/eccvw/2024/domenico2024eccvw-san/) doi:10.1007/978-3-031-91572-7_16BibTeX
@inproceedings{domenico2024eccvw-san,
title = {{San Vitale Challenge: Automatic Reconstruction of Ancient Colored Glass Windows}},
author = {Di Domenico, Nicolò and Borghi, Guido and Franco, Annalisa and Boschetti, Marco and Giacomini, Federica and Barzaghi, Sebastian and Ferucci, Silvia and Zambruno, Simone and Mularoni, Lorenzo and Gao, Qiong and Che, Chenyue and Li, Guoxin and Zu, Yanyan and Hao, Jiayao and Zhang, Junpei and Dúcz, Ákos and Gego, Levente and Imeri, Klevis and Nemkin, Viktória and Rakhmatillaev, Azam and Szatmári, Soma and Rowan, William},
booktitle = {European Conference on Computer Vision Workshops},
year = {2024},
pages = {263-278},
doi = {10.1007/978-3-031-91572-7_16},
url = {https://mlanthology.org/eccvw/2024/domenico2024eccvw-san/}
}