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  5. MAAP Annotate: When archaeology meets augmented reality for annotation of megalithic art
 
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MAAP Annotate: When archaeology meets augmented reality for annotation of megalithic art

Author(s)
Barbier, Johanna  
Kenny, Patricia  
Young, Jordan  
Normand, Jean-Marie  
Keane, Mark T.  
O'Sullivan, Muiris  
Ventresque, Anthony  
Uri
http://hdl.handle.net/10197/9981
Date Issued
2018-04-26
Date Available
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.
Other Sponsorship
UCD New Interdisciplinary Initiatives Fund (NIIF)
Type of Material
Conference Publication
Publisher
IEEE
Copyright (Published Version)
2018 IEEE
Subjects

Mixed Reality

Annotation

Digital Heritage

Megalithic Art

DOI
10.1109/VSMM.2017.8346282
Web versions
http://vsmm.org/
Language
English
Status of Item
Peer reviewed
Journal
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
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
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VSMM_2017__MAAP_Annotate_-2.pdf

Size

3.47 MB

Format

Adobe PDF

Checksum (MD5)

5a0058c9c05270ac65fca52630bc8401

Owning collection
Computer Science Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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