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Authors: Vincent Larroque 1 ; Maxime Maria 1 ; Stéphane Mérillou 1 and Matthieu Montes 2 ; 3

Affiliations: 1 Laboratoire XLIM, UMR CNRS 7252, Université de Limoges, France ; 2 GBCM - Laboratoire Génomique, Bioinformatique et Chimie Moléculaire, EA7528, Conservatoire National des Arts et Métiers, Hésam Université, France ; 3 Institut Universitaire de France (IUF), France

Keyword(s): Molecular Visualization, Viewpoint Selection, Virtual Tours.

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.

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Paper citation in several formats:
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 - GRAPP; ISBN 978-989-758-679-8; ISSN 2184-4321, SciTePress, pages 58-69. DOI: 10.5220/0012383300003660

@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 - GRAPP},
year={2024},
pages={58-69},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012383300003660},
isbn={978-989-758-679-8},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - GRAPP
TI - Viewpoint Selection for Molecular Visualization: Analysis and Applications
SN - 978-989-758-679-8
IS - 2184-4321
AU - Larroque, V.
AU - Maria, M.
AU - Mérillou, S.
AU - Montes, M.
PY - 2024
SP - 58
EP - 69
DO - 10.5220/0012383300003660
PB - SciTePress

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