2022
DOI: 10.36253/rar-12164
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Memoria e modello digitale. La costruzione di un sistema informativo per la salvaguardia del patrimonio architettonico diffuso dell’Upper Kama

Abstract: Following the European guidelines, research in the architecture sector has been committed to seeking open systems, which can be implemented in stages for structuring methodological protocols applicable to digitization to enhance Cultural Heritage. The H2020-RISE-PROMETHEUS project, coordinated by the University of Pavia, aims to define a multi-scalar digital information system to safeguard the historical memory of the heritage and promote Cultural Heritage Routes. That allows the dissemination of the heritage … Show more

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Cited by 2 publications
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“…The modeling phase of the monuments was set in worksharing mode on a scan-to-BIM basis. This process passed from a preliminary phase of recognition and decomposition of the different hierarchical components that constitute the building and that defined the parametric digital twin [34,35].…”
Section: Upper Kama 3d Modelingmentioning
confidence: 99%
See 1 more Smart Citation
“…The modeling phase of the monuments was set in worksharing mode on a scan-to-BIM basis. This process passed from a preliminary phase of recognition and decomposition of the different hierarchical components that constitute the building and that defined the parametric digital twin [34,35].…”
Section: Upper Kama 3d Modelingmentioning
confidence: 99%
“…The experimentation of this methodology inside PROMETHEUS H2020 has been conducted by 35 international researchers, affiliated with different universities (University of Pavia, University of Florence, Polytechnic University of Valencia, Gda ńsk University of Technology, and Perm National Research Polytechnic University) and several enterprises (EBIME, CTA, SISMA, BLESARQ, and Metaheritage) (Figure 1). The objective of this extensive collaboration was to formulate collective strategies for constructing comprehensive architectural digital 3D models.…”
Section: Introductionmentioning
confidence: 99%