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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 |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| HERITALISE.pdf | 1.93 MB | Adobe PDF | View/Open |
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