Actions
  • shareshare
  • link
  • cite
  • add
Powered by OpenAIRE graph
Found an issue? Give us feedback
add
auto_awesome_motion View all 4 versions
Publication . Part of book or chapter of book . 2018

3D Data Acquisition and Modelling of Complex Heritage Buildings

Federica Maietti; Roberto Di Giulio; Marcello Balzani; Emanuele Piaia; Marco Medici; Federico Ferrari;
Open Access
English
Published: 01 Jan 2018
Publisher: Springer
Country: Italy
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.

Subjects by Vocabulary

Microsoft Academic Graph classification: Digitization Data science Protocol (object-oriented programming) Semantics Cultural heritage Interoperability Workflow Metadata Documentation Computer science

Subjects

NO, 3D data acquisition, Semantic modelling, Digital heritage, Optimized data capturing, Heritage documentation, 3D data acquisition, Semantic modelling, Digital heritage, Optimized data capturing, Heritage documentation

Related Organizations
14 references, page 1 of 2

1. Stylianidis, E., Remondino, F.: 3D Recording, Documentation and Management of Cultural Heritage. Whittles Publishing, Dunbeath (2016)

2. Ioannides, M., Fink, E., Moropoulou, A., Hagedorn-Saupe, M., Fresa, A., Liestøl, G., Rajcic, V., Grussenmeyer, P. (eds.): EuroMed 2016. LNCS, vol. 10059. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-48974-2

3. INCEPTION Homepage. http://www.inception-project.eu/. Accessed 11 Sept 2017

4. Di Giulio, R., Maietti, F., Piaia, E.: 3D documentation and semantic aware representation of Cultural Heritage: the INCEPTION project. In: Proceedings of the 14th Eurographic Workshop on Graphics and Cultural Heritage, pp. 195-198. Eurographic Association (2016) [OpenAIRE]

5. Maietti, F., Ferrari, F., Medici, M., Balzani, M.: 3D integrated laser scanner survey and modelling for accessing and understanding European cultural assets. In: Borg, R.P., Gauci, P., Staines, C.S. (eds.) Proceedings of the International Conference “SBE Malta 2016. Europe and the Mediterranean: Towards a Sustainable Built Environment”, pp. 317-324. Gutenberg Press, Malta (2016)

6. Di Giulio, R., Maietti, F., Piaia, E., Medici, M., Ferrari, F., Turillazzi, B.: Integrated data capturing requirements for 3D semantic modelling of Cultural Heritage: the INCEPTION protocol. ISPRS Int. Arch. Photogr. Remote Sens. Spat. Inf. Sci. XLII-2/W3, 251-257 (2017) [OpenAIRE]

7. Apollonio, F.I., Giovannini, E.C.: A paradata documentation methodology for the Uncertainty Visualization in digital reconstruction of CH artifacts. SCIRES-IT SCI. Res. Inf. Technol. 5, 1-24 (2015) [OpenAIRE]

8. Bryan, P., Barber, D., Mills, J.: Towards a standard specification for terrestrial laser scanning in Cultural Heritage-one year on. Int. Arch. Photogr. Remote Sens. Spat. Inf. Sci. 35(B7), 966-971 (2004)

9. Maietti, F., Di Giulio, R., Balzani, M., Piaia, E., Medici, M., Ferrari, F.: Digital memory and integrated data capturing: innovations for an inclusive Cultural Heritage in Europe through 3D semantic modelling. In: Ioannides, M., Magnenat-Thalman, N., Papagiannakis, G. (eds.) Mixed Reality and Gamification for Cultural Heritage, pp. 225-244. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-49607-8_8

10. De Luca, L., Busayarat, C., Stefani, C., Véron, P., Florenzano, M.: A semantic-based platform for the digital analysis of architectural heritage. Comput. Graph. 35(2), 227-241 (2011)

Powered by OpenAIRE graph
Found an issue? Give us feedback
Funded by
EC| INCEPTION
Project
INCEPTION
Inclusive Cultural Heritage in Europe through 3D semantic modelling
  • Funder: European Commission (EC)
  • Project Code: 665220
  • Funding stream: H2020 | RIA
Validated by funder
Download fromView all 3 sources
lock_open
https://iris.unife.it/bitstrea...
Part of book or chapter of book
License: cc-by
Data sources: UnpayWall
moresidebar