MAAP Annotate: When archaeology meets augmented reality for annotation of megalithic art
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|Title:||MAAP Annotate: When archaeology meets augmented reality for annotation of megalithic art||Authors:||Barbier, Johanna; Kenny, Patricia; Young, Jordan; Normand, Jean-Marie; Keane, Mark T.; O'Sullivan, Muiris; Ventresque, Anthony||Permanent link:||http://hdl.handle.net/10197/9981||Date:||26-Apr-2018||Online since:||2019-04-16T10:51:40Z||Abstract:||Megalithic art is a spectacular form of symbolic representation found on prehistoric monuments. Carved by Europe’s first farmers, this art allows an insight into the creativity and vision of prehistoric communities. As examples of this art continue to fade, it is increasingly important to document and study these symbols. This paper presents MAAP Annotate, a Mixed Reality annotation tool from the Megalithic Art Analysis Project (MAAP). It provides an innovative method of interacting with megalithic art, combining cross-disciplinary research in digital heritage, 3D scanning and imaging, and augmented reality. The development of the tool is described, alongside the results of an evaluation carried out on a group of archaeologists from University College Dublin, Ireland. It is hoped that such tools will enable archaeologists to collaborate worldwide, and nonspecialists to experience and learn about megalithic art.||metadata.dc.description.othersponsorship:||UCD New Interdisciplinary Initiatives Fund (NIIF)||Type of material:||Conference Publication||Publisher:||IEEE||Copyright (published version):||2018 IEEE||Keywords:||Mixed Reality; Annotation; Digital Heritage; Megalithic Art||DOI:||10.1109/VSMM.2017.8346282||Other versions:||http://vsmm.org/||Language:||en||Status of Item:||Peer reviewed||Is part of:||Proceedings of the 2017 23rd International Conference on Virtual Systems and Multimedia (VSMM), 31st October – 4th November 2017 Dublin & Belfast, Ireland||Conference Details:||2017 23rd International Conference on Virtual System & Multimedia (VSMM)||ISBN:||978-1-5386-4494-2|
|Appears in Collections:||Computer Science Research Collection|
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