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Oppido Mamertina in 3D: dalla fotogrammetria alla ricostruzione digitale

Authors: Sara Gonizzi Barsanti; Santiago Lilo GIner;

Oppido Mamertina in 3D: dalla fotogrammetria alla ricostruzione digitale

Abstract

The integration between 3D survey techniques and digital reconstruction allows to increase the knowledge and awareness of a Cultural Heritage. Its use becomes fundamental not only to study an ancient building or artefact, but also to communicate it to non-experts and make it more accessible and understandable. Basing the digital reconstruction on an accurate data such as a survey using reality-based techniques, allows to have an accurate and precise data base, as well as metrics, from which the reconstruction can be derived. The study of the geometry and characteristics of the site is favoured as the survey provides a metric and detailed basis of the characteristics of the building surveyed. This contribution aims at describing the methodology used to reconstruct the medieval cloister of ancient Oppido Mamertina (RC) in 3D, starting from the survey using a photogrammetric technique. The purpose of the work is to provide the Municipality and the Superintendency with accurate documentation of the site, as well as a navigable digital model that can be used for tourism purposes in view of the definition of a visit path for the enhancement of the site.

Country
Italy
Keywords

Photogrammetry, 3D Modelling, 3D reconstruction, Knowledge, Technologies

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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