Information
- Publication Type: Journal Paper with Conference Talk
- Workgroup(s)/Project(s):
- Date: 2016
- Journal: Computer Graphics Forum
- Volume: 35
- Number: 3
- Location: Groningen, Netherlands
- Lecturer: Peter Mindek
- Event: EuroVis 2016
- Conference date: 6. June 2016 – 10. June 2016
- Keywords: molecular visualization, visibility, occlusion
Abstract
In scientific illustrations and visualization, cutaway views are often employed as an effective technique for occlusion management in densely packed scenes.We propose a novel method for authoring cutaway illustrations of mesoscopic biological models. In contrast to the existing cutaway algorithms, we take advantage of the specific nature of the biological models. These models consist of thousands of instances with a comparably smaller number of different types. Our method constitutes a two stage process. In the first step, clipping objects are placed in the scene, creating a cutaway visualization of the model. During this process, a hierarchical list of stacked bars inform the user about the instance visibility distribution of each individual molecular type in the scene. In the second step, the visibility of each molecular type is fine-tuned through these bars, which at this point act as interactive visibility equalizers. An evaluation of our technique with domain experts confirmed that our equalizer-based approach for visibility specification is valuable and effective for both, scientific and educational purposes.Additional Files and Images
Weblinks
No further information available.BibTeX
@article{lemuzic-mindek-2016-viseq, title = "Visibility Equalizer: Cutaway Visualization of Mesoscopic Biological Models", author = "Mathieu Le Muzic and Peter Mindek and Johannes Sorger and Ludovic Autin and David Goodsell and Ivan Viola", year = "2016", abstract = "In scientific illustrations and visualization, cutaway views are often employed as an effective technique for occlusion management in densely packed scenes.We propose a novel method for authoring cutaway illustrations of mesoscopic biological models. In contrast to the existing cutaway algorithms, we take advantage of the specific nature of the biological models. These models consist of thousands of instances with a comparably smaller number of different types. Our method constitutes a two stage process. In the first step, clipping objects are placed in the scene, creating a cutaway visualization of the model. During this process, a hierarchical list of stacked bars inform the user about the instance visibility distribution of each individual molecular type in the scene. In the second step, the visibility of each molecular type is fine-tuned through these bars, which at this point act as interactive visibility equalizers. An evaluation of our technique with domain experts confirmed that our equalizer-based approach for visibility specification is valuable and effective for both, scientific and educational purposes.", journal = "Computer Graphics Forum", volume = "35", number = "3", keywords = "molecular visualization, visibility, occlusion", URL = "https://www.cg.tuwien.ac.at/research/publications/2016/lemuzic-mindek-2016-viseq/", }