dc.contributor.author | Luo, Shengzhou | en_US |
dc.contributor.author | Dingliana, John | en_US |
dc.contributor.editor | Tobias Isenberg and Filip Sadlo | en_US |
dc.date.accessioned | 2016-06-09T09:33:31Z | |
dc.date.available | 2016-06-09T09:33:31Z | |
dc.date.issued | 2016 | en_US |
dc.identifier.isbn | 978-3-03868-015-4 | en_US |
dc.identifier.issn | - | en_US |
dc.identifier.uri | http://dx.doi.org/10.2312/eurp.20161135 | en_US |
dc.identifier.uri | https://diglib.eg.org:443/handle/10 | |
dc.description.abstract | We present an automated technique to optimize the clarity of features in visualizations of 3D volume datasets. By adjusting the opacity transfer function, we achieve user-specified target distributions of feature conspicuity. Unlike previous techniques our approach accounts for both the issues of view-dependent occlusion and visual saliency of features in volume data. We demonstrate how the automated approach is useful in particular for optimizing the visualization of time-varying volume datasets. | en_US |
dc.publisher | The Eurographics Association | en_US |
dc.subject | I.3.7 [Computer Graphics] | en_US |
dc.subject | Three Dimensional Graphics and Realism | en_US |
dc.subject | Color | en_US |
dc.subject | shading | en_US |
dc.subject | shadowing | en_US |
dc.subject | and texture | en_US |
dc.title | Transfer Function Optimization Based on a Combined Model of Visibility and Saliency | en_US |
dc.description.seriesinformation | EuroVis 2016 - Posters | en_US |
dc.description.sectionheaders | Poster | en_US |
dc.identifier.doi | 10.2312/eurp.20161135 | en_US |
dc.identifier.pages | 33-35 | en_US |