ImmVis: Bridging Data Analytics and Immersive Visualisation

Felipe Augusto Pedroso, Paula Dornhofer Paro Costa

2021

Abstract

One of the significant issues from the visualisation field is choosing the appropriate tool to conduct a research project or experiment. The Immersive Analytics (IA) field is no different but found support on game engines and web technologies to create their solutions, frameworks and toolkits. While these technologies solve problems like rendering and interaction, they do not offer functionalities to enable data analysis inside immersive environments. This paper presents ImmVis, a novel open-source framework that enables IA applications to benefit from the data analysis capabilities from Python programming language well-established libraries. The framework is enabled to work with different platforms and programming languages and can be used to complement the capabilities of existing IA tools, empowering them to offer more sophisticated data analysis functionalities.

Paper Citation

in Harvard Style

Pedroso F. and Costa P. (2021). ImmVis: Bridging Data Analytics and Immersive Visualisation. In Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - Volume 3: IVAPP; ISBN 978-989-758-488-6, SciTePress, pages 181-187. DOI: 10.5220/0010256001810187

in Bibtex Style

@conference{ivapp21,
author={Felipe Augusto Pedroso and Paula Dornhofer Paro Costa},
title={ImmVis: Bridging Data Analytics and Immersive Visualisation},
booktitle={Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - Volume 3: IVAPP},
year={2021},
pages={181-187},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010256001810187},
isbn={978-989-758-488-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - Volume 3: IVAPP
TI - ImmVis: Bridging Data Analytics and Immersive Visualisation
SN - 978-989-758-488-6
AU - Pedroso F.
AU - Costa P.
PY - 2021
SP - 181
EP - 187
DO - 10.5220/0010256001810187
PB - SciTePress