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Link to original content: https://unpaywall.org/10.5220/0009193404120419
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Authors: Inma García-Pereira 1 ; Jesús Gimeno 1 ; Pedro Morillo 1 and Pablo Casanova-Salas 2

Affiliations: 1 Department of Computer Science, Universitat de València, Spain ; 2 Institute of Robotics and Information and Communication Technologies (IRTIC), Universitat de València, Spain

Keyword(s): Augmented Reality, Annotation, Data Model, Taxonomy.

Abstract: Annotations have become a major trend in Augmented Reality (AR), as they are a powerful way of offering users more information about the real world surrounding them. There are many contributions showing ad hoc tools for annotation purposes, which make use of this type of virtual information. However, there are very few works that have tried to theorize on this subject to propose a generalized work system that solves the problem of incompatibility between applications. In this work, we propose and develop not only a taxonomy, but also a data model that seek to define the general characteristics that any AR annotation must incorporate. With this, we intend to provide a framework that can be used in the development of any system that makes use of this type of virtual elements.

CC BY-NC-ND 4.0

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Paper citation in several formats:
García-Pereira, I.; Gimeno, J.; Morillo, P. and Casanova-Salas, P. (2020). A Taxonomy of Augmented Reality Annotations. In Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - GRAPP; ISBN 978-989-758-402-2; ISSN 2184-4321, SciTePress, pages 412-419. DOI: 10.5220/0009193404120419

@conference{grapp20,
author={Inma García{-}Pereira. and Jesús Gimeno. and Pedro Morillo. and Pablo Casanova{-}Salas.},
title={A Taxonomy of Augmented Reality Annotations},
booktitle={Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - GRAPP},
year={2020},
pages={412-419},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009193404120419},
isbn={978-989-758-402-2},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - GRAPP
TI - A Taxonomy of Augmented Reality Annotations
SN - 978-989-758-402-2
IS - 2184-4321
AU - García-Pereira, I.
AU - Gimeno, J.
AU - Morillo, P.
AU - Casanova-Salas, P.
PY - 2020
SP - 412
EP - 419
DO - 10.5220/0009193404120419
PB - SciTePress

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