Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/35045
Title: HERITALISE. Project Insights and Initial Developments
Authors: Chiabrando, Filiberto 
Lingua, Andrea 
Spreafico, Alessandra 
Sammartano, Giulia 
Matrone, Francesca 
Borras, Mikel 
Mendikute Garate, Alberto 
Miller, Alan 
Ioannides, Marinos 
Siegkas, Petros 
Baker, Drew 
Trentin, Mia 
Cassar, Anthony 
Galea, Julia 
Major Field of Science: Engineering and Technology
Field Category: Other Engineering and Technologies
Keywords: Cultural Heritage;Horizon Europe;Digitisation techniques;Artificial Intelligence;Virtual/Augmented/Mixed Reality
Issue Date: 2025
Source: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2025, vol. XLVIII-M-9-2025
Volume: XLVIII-M-9-2025
Journal: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives 
Conference: 30th CIPA Symposium “Heritage Conservation from Bits: From Digital Documentation to Data-driven Heritage Conservation” 
Abstract: Cultural Heritage (CH) encompasses a broad spectrum of tangible and intangible assets, from artifacts and architecture to landscapes and traditions. These require diverse and complex data for documentation, study, and preservation. Technological advancements have significantly improved how CH is digitised, enhancing understanding and access. Digital records preserve historical, aesthetic, and scientific values while supporting public engagement. However, there remains no universal standard for CH digitisation, with approaches often tailored to each project based on various technical and contextual factors. Digitisation methods depend on object-specific complexity criteria such as size, material and their condition, and location, requiring multidisciplinary collaboration. Common techniques are usually employed like laser scanning, photogrammetry and structured light, while AI and emerging technologies are expanding the capabilities of advancing digitization and visualization. In the present paper the EU HERITALISE project is presented, which addresses current limitations by developing advanced methods for capturing holistically both visible and non-visible CH features. It extends frameworks like H (Holistic)-HBIM to a Memory twin, integrating multimodal and complex data types in four (4) selected demo sites presented in this paper.
URI: https://hdl.handle.net/20.500.14279/35045
ISSN: 2194-9034
DOI: 10.5194/isprs-archives-XLVIII-M-9-2025-269-2025
Rights: Attribution 4.0 International
Type: Article
Affiliation : Politecnico di Torino 
IDP, Innovation, Ingenierıa Medio ambiente y Arquitectura 
Tekniker Research and Technology Centre 
University of Saint Andrews 
Research Centre Mnemosyne 
Cyprus University of Technology 
Digital Heritage Research Laboratory 
Heritage Malta Digitisation Unit 
Publication Type: Peer Reviewed
Appears in Collections:Άρθρα/Articles

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