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Projecting our past to the future - challenges and results

The case of Asinou church
 
: Papaefthymiou, M.; Nikolakopoulou, V.; Leventis, G.; Domajnko, Matevz; Ioannides, M.; Papagiannakis, G.; Santos, Pedro

:

Fellner, Dieter W. (General Co-Chair / Proceedings Production Ed.); Habsburg-Lothringen, Bettina (General Co-Chair); Schreck, Tobias (Program Co-Chair); Weyrich, Tim (Program Co-Chair); Sablatnig, Robert (Short Paper Co-Chair); Štular, Benjamin (Short Paper Co-Chair); Ullrich, Torsten (Local Chair) ; European Association for Computer Graphics -EUROGRAPHICS-; TU Graz, Institut für ComputerGraphik und WissensVisualisierung -CGV-; Fraunhofer-Institut für Graphische Datenverarbeitung -IGD-, Darmstadt:
GCH 2017, Eurographics Workshop on Graphics and Cultural Heritage : Graz, Austria, September 27 - 29, 2017
Goslar: Eurographics Association, 2017
ISBN: 978-3-03868-037-6
DOI: 10.2312/gch.20172021
S.171-175
Workshop on Graphics and Cultural Heritage (GCH) <15, 2017, Graz>
Englisch
Konferenzbeitrag
Fraunhofer IGD ()
digital cultural heritage; neural network; mixed reality; Augmented reality (AR); Virtual reality (VR); E-Learning; Guiding Theme: Digitized Work; Guiding Theme: Visual Computing as a Service; Research Area: Computer vision (CV); Research Area: Computer graphics (CG)

Abstract
In this paper, we present some of the novel results of the Marie Curie Initial Training Network for Digital Cultural Heritage (ITN-DCH) project, describing briefly the work done focusing on the project's first case study: the Panagia Phorviotisa of Asinou, an UNESCO World Heritage Listed (WHL) monument in Cyprus. The paper introduces some challenges and the importance of multidisciplinary, sustainable research and development in the emerging domain of DCH in Europe. The different methodologies address these challenges through a professional network of partners including Academia, Research and Industry. The paper describes the 3D documentation of the church and how the data acquired can be used and re-used in Mixed Reality (MR) applications using also Deep Learning techniques, as well as in Education.

: http://publica.fraunhofer.de/dokumente/N-477697.html