| Literature DB >> 28344374 |
M Le Muzic1, P Mindek1, J Sorger2, L Autin3, D Goodsell3, I Viola1.
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 was valuable and effective for both, scientific and educational purposes.Entities:
Year: 2016 PMID: 28344374 PMCID: PMC5364803 DOI: 10.1111/cgf.12892
Source DB: PubMed Journal: Comput Graph Forum ISSN: 0167-7055 Impact factor: 2.078