Viewpoint Selection for Molecular Visualization: Analysis and Applications

Vincent Larroque, Maxime Maria, Stéphane Mérillou, Matthieu Montes, Matthieu Montes

2024

Abstract

Molecular systems are often visually complex and abstract. It can be difficult, even for experts, to explore and find meaningful viewpoints. Research in viewpoint selection methods has mainly focused on general real-world objects and only a few works tackled molecular scenes. In this paper, we present a study of 20 state-of-the-art viewpoint selection methods from the general field, applied to molecular visualization. Our goal is to determine if these methods can find two important geometrical configurations for molecules. Additionally, we propose an automatic generation of informative and visually pleasing molecular tours to help the study and the communication around molecules.

Paper Citation

in Harvard Style

Larroque V., Maria M., Mérillou S. and Montes M. (2024). Viewpoint Selection for Molecular Visualization: Analysis and 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 58-69. DOI: 10.5220/0012383300003660

in Bibtex Style

@conference{grapp24,
author={Vincent Larroque and Maxime Maria and Stéphane Mérillou and Matthieu Montes},
title={Viewpoint Selection for Molecular Visualization: Analysis and 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={58-69},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012383300003660},
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 - Viewpoint Selection for Molecular Visualization: Analysis and Applications
SN - 978-989-758-679-8
AU - Larroque V.
AU - Maria M.
AU - Mérillou S.
AU - Montes M.
PY - 2024
SP - 58
EP - 69
DO - 10.5220/0012383300003660
PB - SciTePress