Visual clutter is a major problem in large biological data visualization. It is often addressed through the means of level of detail schemes coupled with an appropriate coloring of the visualized structures. Ambient occlusion and shadows are often used to improve the depth perception. However, when used excessively, these techniques are sources of visual clutter themselves. In this paper we present a new approach to screen-space illumination algorithms suitable for use in illustrative visualization. The illumination effect can be controlled so that desired levels of semantic scene organization cast shadows while other remain flat. This way the illumination design can be parameterized to keep visual clutter, originating from illumination, to a minimum, while also guiding the user in a multiscale model exploration. We achieve this by selectively applying occlusion shading based on the inherent semantics of the visualized hierarchically-organized data. The technique is in principle generally applicable to any hierarchically organized 3D scene and has been demonstrated on an exemplary scene from integrative structural biology.
|Original language||English (US)|
|Title of host publication||VCBM 2018 - Eurographics Workshop on Visual Computing for Biology and Medicine|
|Editors||Anna Puig, Thomas Schultz, Anna Vilanova, Ingrid Hotz, Barbora Kozlikova, Pere-Pau Vazquez|
|Number of pages||5|
|State||Published - 2018|
|Event||2018 Eurographics Workshop on Visual Computing for Biology and Medicine, VCBM 2018 - Granada, Spain|
Duration: Sep 20 2018 → Sep 21 2018
|Name||VCBM 2018 - Eurographics Workshop on Visual Computing for Biology and Medicine|
|Conference||2018 Eurographics Workshop on Visual Computing for Biology and Medicine, VCBM 2018|
|Period||09/20/18 → 09/21/18|
Bibliographical notePublisher Copyright:
© 2018 The Author(s) Eurographics Proceedings © 2018 The Eurographics Association.
ASJC Scopus subject areas
- Computer Vision and Pattern Recognition
- Biomedical Engineering