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dc.contributor.authorMuzic, Mathieu Leen_US
dc.contributor.authorMindek, Peteren_US
dc.contributor.authorSorger, Johannesen_US
dc.contributor.authorAutin, Ludovicen_US
dc.contributor.authorGoodsell, David S.en_US
dc.contributor.authorViola, Ivanen_US
dc.contributor.editorKwan-Liu Ma and Giuseppe Santucci and Jarke van Wijken_US
dc.date.accessioned2016-06-09T09:32:39Z
dc.date.available2016-06-09T09:32:39Z
dc.date.issued2016en_US
dc.identifier.issn1467-8659en_US
dc.identifier.urihttp://dx.doi.org/10.1111/cgf.12892en_US
dc.identifier.urihttps://diglib.eg.org:443/handle/10
dc.description.abstractIn 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.en_US
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectI.3.3 [Computer Graphics]en_US
dc.subjectPicture/Image Generationen_US
dc.subjectViewing algorithmsen_US
dc.titleVisibility Equalizer Cutaway Visualization of Mesoscopic Biological Modelsen_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.sectionheadersBiological Data Visualizationen_US
dc.description.volume35en_US
dc.description.number3en_US
dc.identifier.doi10.1111/cgf.12892en_US
dc.identifier.pages161-170en_US


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