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2018 | OriginalPaper | Chapter

3D Data Acquisition and Modelling of Complex Heritage Buildings

Authors : Federica Maietti, Roberto Di Giulio, Marcello Balzani, Emanuele Piaia, Marco Medici, Federico Ferrari

Published in: Digital Cultural Heritage

Publisher: Springer International Publishing

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Abstract

The ongoing EU funded project “INCEPTION – Inclusive Cultural Heritage in Europe through 3D semantic modelling” proposes a workflow aimed at the achievements of efficient 3D digitization methods, post-processing tools for an enriched semantic modelling, web-based solutions and applications to ensure a wide access to experts and non-experts. Nevertheless, the generation of high quality 3D models can still be very time-consuming and expensive, and the outcome of digital reconstructions is frequently provided in formats that are not interoperable, and therefore cannot be easily accessed. This challenge is even more crucial for complex architectures and large heritage sites, which involve a large amount of data to be acquired, managed and enriched by metadata. In order to face these challenges and to start solving the issues of the large amount of captured data and time-consuming processes in the production of 3D digital models, an Optimized Data Acquisition Protocol (DAP) has been set up. The purpose is to guide the processes of digitization of Cultural Heritage, respecting needs, requirements and specificities of cultural assets, by dealing with issues such as time-consuming processes and limited budget available for 3D documentation, accuracy of 3D models, integration of metadata and semantics into the 3D model and links with multimedia information. The DAP can be followed during the planning and performing of a 3D laser scanner survey of Cultural Heritage, and it is referred to architectural, archaeological, urban and site scales.

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Metadata
Title
3D Data Acquisition and Modelling of Complex Heritage Buildings
Authors
Federica Maietti
Roberto Di Giulio
Marcello Balzani
Emanuele Piaia
Marco Medici
Federico Ferrari
Copyright Year
2018
DOI
https://doi.org/10.1007/978-3-319-75826-8_1

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