Optimized methods to digital survey and 3D modelling of cultural heritage assets

Zahabkar Aghdam, Reza (2022) Optimized methods to digital survey and 3D modelling of cultural heritage assets. [Laurea magistrale], Università di Bologna, Corso di Studio in Ingegneria dei processi e dei sistemi edilizi [LM-DM270], Documento ad accesso riservato.
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Abstract

Currently making digital 3D models and replicas of the cultural heritage assets play an important role in the preservation and having a high detail source for future research and intervention. In this dissertation, it is tried to assess different methods for digital surveying and making 3D replicas of cultural heritage assets in different scales of size. The methodologies vary in devices, software, workflow, and the amount of skill that is required. The three phases of the 3D modelling process are data acquisition, modelling, and model presentation. Each of these sections is divided into sub-sections and there are several approaches, methods, devices, and software that may be employed, furthermore, the selection process should be based on the operation's goal, available facilities, the scale and properties of the object or structure to be modeled, as well as the operators' expertise and experience. The most key point to remember is that the 3D modelling operation should be properly accurate, precise, and reliable; therefore, there are so many instructions and pieces of advice on how to perform 3D modelling effectively. It is an attempt to compare and evaluate the various ways of each phase in order to explain and demonstrate their differences, benefits, and drawbacks in order to serve as a simple guide for new and/or inexperienced users.

Abstract
Tipologia del documento
Tesi di laurea (Laurea magistrale)
Autore della tesi
Zahabkar Aghdam, Reza
Relatore della tesi
Correlatore della tesi
Scuola
Corso di studio
Indirizzo
Historic buildings rehabilitation
Ordinamento Cds
DM270
Parole chiave
3D modelling of cultural heritage, Survey of historic buildings, Survey of historic assets
Data di discussione della Tesi
22 Luglio 2022
URI

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