Real-Time 3D Information Visualization on Mobile Devices: Efficient Occlusion Detection for Geospatial Applications

Agata Migalska

2024

Abstract

The rapid advancement of geospatial applications on mobile devices has revolutionized outdoor activities and professions by providing invaluable tools for navigating, exploring, and highlighting geographic features. These applications often face notable challenges, including limited connectivity as well as battery and storage constraints. The objective of this paper is to provide users with a seamless user experience and augmented reality interactions in diverse outdoor scenarios within geospatial applications on mobile devices. Towards this goal, we introduce visibility map of a point that contains distances from the point to the closest obstacles at multiple angular viewpoints. We propose that every point of interest is associated with a such a visibility map, pre-calculated on a digital world model, in order to render annotated data in real-time without relying on time-consuming depth estimation. We specifically address the aspect of displaying 3D virtual information that is registered at different elevations, justified by the importance of elevation information in domains such as earth science, culture science or construction and by a lack of methods that would allow that. Through our study, we demonstrate the real-time rendering capability and accuracy of our proposed method. We present the findings, discuss potential limitations, and suggest future research directions.

Paper Citation

in Harvard Style

Migalska A. (2024). Real-Time 3D Information Visualization on Mobile Devices: Efficient Occlusion Detection for Geospatial Applications. In Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: GRAPP; ISBN 978-989-758-679-8, SciTePress, pages 277-284. DOI: 10.5220/0012398300003660

in Bibtex Style

@conference{grapp24,
author={Agata Migalska},
title={Real-Time 3D Information Visualization on Mobile Devices: Efficient Occlusion Detection for Geospatial Applications},
booktitle={Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: GRAPP},
year={2024},
pages={277-284},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012398300003660},
isbn={978-989-758-679-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: GRAPP
TI - Real-Time 3D Information Visualization on Mobile Devices: Efficient Occlusion Detection for Geospatial Applications
SN - 978-989-758-679-8
AU - Migalska A.
PY - 2024
SP - 277
EP - 284
DO - 10.5220/0012398300003660
PB - SciTePress