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|Title:||The innovative documentation of cultural heritage using H-BIM: Case study of Asinou church||Authors:||Themistocleous, Kyriacos
Hadjimitsis, Diofantos G.
|Keywords:||3D model;3D reconstruction;Asinou church;BIM;Digital cultural heritage;EU-H2020 INCEPTION;H-BIM;Remote Sensing;UNESCO WHL||Category:||Computer and Information Sciences;Electrical Engineering - Electronic Engineering - Information Engineering||Field:||Natural Sciences;Engineering and Technology||Issue Date:||9-Oct-2018||Publisher:||SPIE||Source:||Earth Resources and Environmental Remote Sensing/GIS Applications IX, 2018, 11–13 September, Berlin, Germany||Project:||Inclusive Cultural Heritage in Europe through 3D semantic modelling||Conference:||SPIE Conference Proceedings||Abstract:||The study examines the documentation of the Asinou Monument within the auspices of the H2020-SC6-R&IINCEPTION project. The project realises innovation in 3D modelling of cultural heritage through an inclusive approach for time-dynamic 3D reconstruction of artefacts, built and social environments. It enriches the European identity through understanding of how European cultural heritage continuously evolves over long periods of time. In this study, digital techniques for data acquisition and methodologies for data processing were examined using the Asinou Church as a case study. Asinou Church is a 11th century shrine to the Virgin Mary, located in the Troodos Mountains of Cyprus and is a UNESCO World Heritage Site and contains some of the finest Byzantine wall paintings in Cyprus which date between the 12th to the 17th century. Different techniques, such as photogrammetry, laser scanning, drones, video and photographs were used for the data acquisition of all features of the church, which were then processed to create a 3D model and document the church using Building Information Modeling (BIM). The church was digitally reconstructed in a 3D BIM model, where it was then processed to produce a Heritage building Information Model (H-BIM) in order to create an information database for further study.||Description:||Event: SPIE Remote Sensing, 2018, Berlin, Germany||URI:||http://ktisis.cut.ac.cy/handle/10488/13227||DOI:||doi.org/10.1117/12.2325453||Rights:||© 2018 SPIE.||Type:||Conference Papers|
|Appears in Collections:||Δημοσιεύσεις σε συνέδρια/Conference papers|
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