ImmVis: Bridging Data Analytics and Immersive Visualisation

Felipe Pedroso, Paula Costa

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.

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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 - Volume 1: IVAPP, ISBN 978-989-758-488-6, pages 181-187. DOI: 10.5220/0010256001810187


in Bibtex Style

@conference{ivapp21,
author={Felipe Pedroso and Paula 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 - Volume 1: 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 - Volume 1: 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