YT Wu, CT Su, IC Li - 危機管理學刊, 2024 - airitilibrary.com
Machine learning, deep learning, object detection, and other related technologies have gradually matured, but their application in the field of cultural asset protection and art …
B Sober, S Bucklow, N Daly… - IEEE BITS the …, 2022 - ieeexplore.ieee.org
In recent decades, cultural heritage research—and in particular art investigation—has been undergoing a digital revolution. This is due both to improvements in the digitization and the …
KKW Tint, MM Tin - 2024 IEEE Conference on Computer …, 2024 - ieeexplore.ieee.org
Preserving and restoring ancient murals is a critical task to maintain the cultural heritage. However, the ancient murals often suffer from degradation over time, including fading …
N Nadisic, Y Arhant, N Vyncke… - … Conference on Smart …, 2024 - researchgate.net
Abstract Paintings deteriorate over time due to aging and storage conditions, with cracks being a common form of degradation. Detecting and mapping these cracks is crucial for art …
R Sizyakin, V Voronin, A Zelensky… - Journal of Electronic …, 2022 - spiedigitallibrary.org
Cracks (craquelure) and paint losses are the main types of deterioration of master paintings as they are ageing. We explore the potential of deep-learning-based methods for virtual …
А МИКОЛАЙЧУК - АКТУАЛЬНI ПИТАННЯ ГУМАНIТАРНИХ …, 2023 - aphn-journal.in.ua
Застосування цифрових технологій у галузі консервації та реставрації є перспективним напрямом, оскільки сприятиме зростанню рівня точності при проведенні досліджень …