IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

On Visual Computing for Architectural Heritage

On Visual Computing for Architectural Heritage
View Sample PDF
Author(s): Stefano Brusaporci (L'Aquila University, Italy)
Copyright: 2019
Pages: 31
Source title: Geospatial Intelligence: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-5225-8054-6.ch024

Purchase

View On Visual Computing for Architectural Heritage on the publisher's website for pricing and purchasing information.

Abstract

Aim of the chapter is to present a critical discourse on the use of visual computing for the study of historic architecture. From the analysis of the experiences in other scientific fields and of current researches in the architectural one, the paper highlights how visual computing has become an important approach in built heritage study and how it could favor new lines, in particular according to the non-linear spatial narratives of the 3D models. They are useful to analyze and describe the buildings and provide an aggregative core for the heterogeneous bulk of information related to historic buildings (drawings, texts, images, data, metadata, etc.). In this way visual architectural modeling and database modeling correlate together, and the whole system gives rise to complex informative models – manipulable, navigable and interactive –, helpful for the understanding, knowledge, preservation, communication and enhancement of architectural heritage.

Related Content

Salwa Saidi, Anis Ghattassi, Samar Zaggouri, Ahmed Ezzine. © 2021. 19 pages.
Mehmet Sevkli, Abdullah S. Karaman, Yusuf Ziya Unal, Muheeb Babajide Kotun. © 2021. 29 pages.
Soumaya Elhosni, Sami Faiz. © 2021. 13 pages.
Symphorien Monsia, Sami Faiz. © 2021. 20 pages.
Sana Rekik. © 2021. 9 pages.
Oumayma Bounouh, Houcine Essid, Imed Riadh Farah. © 2021. 14 pages.
Mustapha Mimouni, Nabil Ben Khatra, Amjed Hadj Tayeb, Sami Faiz. © 2021. 18 pages.
Body Bottom