I’m a PhD student in Computer Graphics at the XLIM research institute. I work on creating better camera paths to show information about molecules in a clear and visually appealing way. My research interests include viewpoint selection methods, scientific visualization, virtual tours and optimization.
It is difficult, even for experts, to explore and find good viewpoints in molecular systems. In this paper, we study 20 state-of-the-art viewpoint selection methods applied to molecular visualization. Additionnaly, we propose a method to create informative and visually pleasing molecular tours.
Molecular system visualization is a difficult task even for experts as molecules can contain millions of atoms. Our goal is to create a tool to improve the preliminary study of molecules by automatically creating a tour of the interesting viewpoints around them. Since we noticed limited research specific to molecular visualization, we analyzed and adapted methods from the general field. Our preliminary study shows that our molecular tour is able to smoothly present key information automatically.