ReforestAR: An Augmented Reality Mobile Application for Reforest Purposes

Matias Luna, Enrico Gomes, Alexandrino Gonçalves, Alexandrino Gonçalves, Nuno Rodrigues, Nuno Rodrigues, Anabela Marto, Anabela Marto, Rita Ascenso, Rita Ascenso

2022

Abstract

Forest areas are essential to life on planet Earth and, without them, human society would not be able to sustain itself. Yet, they are under constant threat of reduction and damage, and many of them have been lost worldwide. Besides preventing their disforestation in the first place, awareness for maintaining, replanting, and restoring these areas should be raised to live in a greener and healthier environment. Information in modern times is mostly passed on through technology and, with the rise of Augmented Reality (AR), coupling both smartphones (devices that most people use in current times) and nature seems like an opportunity to raise consciousness to the cause. In this paper, we present an application to relate both Augmented Reality and reforestation, to raise awareness of environmental damages by allowing users to virtually place 3D models of trees on a real surface, using their own mobile phones, helping to plan and to visualize the replanting process over previously destroyed areas.

Paper Citation

in Harvard Style

Luna M., Gomes E., Gonçalves A., Rodrigues N., Marto A. and Ascenso R. (2022). ReforestAR: An Augmented Reality Mobile Application for Reforest Purposes. In Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - Volume 1: GRAPP; ISBN 978-989-758-555-5, SciTePress, pages 180-187. DOI: 10.5220/0010833200003124

in Bibtex Style

@conference{grapp22,
author={Matias Luna and Enrico Gomes and Alexandrino Gonçalves and Nuno Rodrigues and Anabela Marto and Rita Ascenso},
title={ReforestAR: An Augmented Reality Mobile Application for Reforest Purposes},
booktitle={Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - Volume 1: GRAPP},
year={2022},
pages={180-187},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010833200003124},
isbn={978-989-758-555-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - Volume 1: GRAPP
TI - ReforestAR: An Augmented Reality Mobile Application for Reforest Purposes
SN - 978-989-758-555-5
AU - Luna M.
AU - Gomes E.
AU - Gonçalves A.
AU - Rodrigues N.
AU - Marto A.
AU - Ascenso R.
PY - 2022
SP - 180
EP - 187
DO - 10.5220/0010833200003124
PB - SciTePress