From the semantic point cloud to heritage-building information modeling: A semiautomatic approach exploiting machine learning

V Croce, G Caroti, L De Luca, K Jacquot, A Piemonte… - Remote Sensing, 2021 - mdpi.com
This work presents a semi-automatic approach to the 3D reconstruction of Heritage-Building
Information Models from point clouds based on machine learning techniques. The use of …

Combining integrated informative system and historical digital twin for maintenance and preservation of artistic assets

A Marra, S Gerbino, A Greco, G Fabbrocino - Sensors, 2021 - mdpi.com
The protection of artistic and cultural heritage is a major challenge due to its peculiarities
and its exposure to significant natural hazards. Several methodologies exist to assess the …

Semi-automatic classification of digital heritage on the Aïoli open source 2D/3D annotation platform via machine learning and deep learning

V Croce, A Manuel, G Caroti, A Piemonte… - Journal of Cultural …, 2023 - Elsevier
Today, digital tools represent a privileged means of describing and understanding of cultural
heritage. However, existing hybrid methods for semantic annotation on digital models are …

An artificial neural network framework for classifying the style of cypriot hybrid examples of built heritage in 3D

G Artopoulos, MI Maslioukova, C Zavou… - Journal of Cultural …, 2023 - Elsevier
The article presents a workflow based on Deep Neural Networks (DNNs) and Support
Vector Machine (SVM) for identifying architectural stylistic influences of segmented building …

Point cloud semantic segmentation of grotto scenes using the knowledge-guided deep learning method

S Yang, M Hou, S Li - International Journal of Digital Earth, 2024 - Taylor & Francis
In recent years, the deep learning-based semantic segmentation for point clouds has
demonstrated remarkable capabilities in processing 3D urban scenes for applications such …

Systematic integration of 2D and 3D sources for the virtual reconstruction of lost heritage artefacts: the equestrian monument of Francesco III d'Este (1774–1796 …

F Gherardini, S Sirocchi - Heritage Science, 2022 - Springer
The role of 3D virtual reconstruction of lost heritage artefacts is acquiring ever-greater
importance, as a support for archaeological research and art history studies, as well as a …

Knowledge graph representation method for semantic 3D modeling of Chinese grottoes

S Yang, M Hou - Heritage Science, 2023 - nature.com
The integration of 3D geometric models with semantic information significantly improves the
applicability and comprehensibility of cultural heritage. The semantic 3D modeling of …

Evaluation of an augmented reality for historical context experiences of 3D restored court paintings

E Yoo, O Kwon, J Yu - IEEE Access, 2023 - ieeexplore.ieee.org
Court painting is a traditional Korean type of painting that depicts royal events. It should be
understood in the context of royal rituals and historical writing. Therefore, it is only possible …

Machine Learning and Deep Learning for the Built Heritage Analysis: Laser Scanning and UAV-Based Surveying Applications on a Complex Spatial Grid Structure

D Billi, V Croce, MG Bevilacqua, G Caroti… - Remote Sensing, 2023 - mdpi.com
The reconstruction of 3D geometries starting from reality-based data is challenging and time-
consuming due to the difficulties involved in modeling existing structures and the complex …

Combining multiband imaging, photogrammetric techniques, and FOSS GIS for affordable degradation mapping of stone monuments

E Adamopoulos, F Rinaudo - Buildings, 2021 - mdpi.com
The detailed documentation of degradation constitutes a fundamental step for weathering
diagnosis and, consequently, for successful planning and implementation of conservation …