[HTML][HTML] Automating the retrospective generation of As-is BIM models using machine learning

P Schönfelder, A Aziz, B Faltin, M König - Automation in Construction, 2023 - Elsevier
The manual creation of digital models of existing buildings for operations and maintenance
is difficult and time-consuming. Machine learning and deep learning techniques have …

[HTML][HTML] Artificial Intelligence at the Interface between Cultural Heritage and Photography: A Systematic Literature Review

C Silva, L Oliveira - Heritage, 2024 - mdpi.com
Artificial intelligence has inspired a significant number of studies on the interface between
cultural heritage and photography. The aims of these studies are, among others, to …

SVD-based point cloud 3D stone by stone segmentation for cultural heritage structural analysis–The case of the Apollo Temple at Delphi

D Galanakis, E Maravelakis, DP Pocobelli… - Journal of Cultural …, 2023 - Elsevier
Unprecedented growth in 3D reality-based capturing devices-such as Terrestrial Laser
Scanners (TLS) or Unnamed Aerial Vehicles (UAVs) equipped with high-resolution …

Machine learning for conservation of architectural heritage

I Karadag - Open House International, 2023 - emerald.com
Purpose Accurate documentation of damaged or destroyed historical buildings to protect
cultural heritage has been on the agenda of architecture for many years. In that sense, this …

[PDF][PDF] From scan-to-BIM to heritage building information modelling for an ancient Arab-Norman church

M Aricò, M Lo Brutto - … Archives of the …, 2022 - … -remote-sens-spatial-inf-sci.net
One of the most significant issues in Cultural Heritage is the management of ancient
buildings to monitor their state of conservation or to plan actions in their maintenance; this …

Fully automated scan-to-bim via point cloud instance segmentation

D Campagnolo, E Camuffo, U Michieli… - … on Image Processing …, 2023 - ieeexplore.ieee.org
Digital reconstruction through Building Information Models (BIM) is a valuable methodology
for documenting and analyzing existing buildings. Its pipeline starts with geometric …

Machine Learning for the Semi-Automatic 3D Decay Segmentation and Mapping of Heritage Assets

RA Galantucci, A Musicco, C Verdoscia… - International Journal of …, 2024 - Taylor & Francis
ABSTRACT In Architectural Heritage (AH), diagnostics represent a key topic, related to the
assessment of the state of conservation, for a well-structured and integrated knowledge …

Propagation of semantic information between orthophoto and 3D replica: a H-BIM system for the north transept of Pisa Cathedral

V Croce, G Caroti, A Piemonte - Geomatics, Natural Hazards and …, 2021 - Taylor & Francis
This contribution proposes a methodological approach for the transfer of annotations
between orthophotos and 3D digital heritage models, relying on a mesh-based/point-based …

A machine learning-based prediction model for architectural heritage: The case of domed Sinan mosques

OZ Güzelci, S Alaçam, B Bekiroğlu, I Karadag - Digital Applications in …, 2024 - Elsevier
This study presents a machine learning-based prediction model (PM) customized to predict
missing components of historical mosques. Domed mosques built by Architect Sinan during …

Transversal Knowledge in Teaching Architecture: Applications of 3D Point Cloud Segmentation Methods for the Comprehension of Cultural Heritage

A Musicco, N Rossi, M Buldo, R Tavolare… - Teaching Innovation in …, 2024 - Springer
Teaching innovation in architecture and building engineering aims to go beyond traditional
methods by incorporating novel approaches, preparing students for the dynamic industry …