dc.contributor.author | Zellmann, Stefan | en_US |
dc.contributor.author | Aumüller, Martin | en_US |
dc.contributor.author | Marshak, Nathan | en_US |
dc.contributor.author | Wald, Ingo | en_US |
dc.contributor.editor | Frey, Steffen and Huang, Jian and Sadlo, Filip | en_US |
dc.date.accessioned | 2020-05-24T13:24:47Z | |
dc.date.available | 2020-05-24T13:24:47Z | |
dc.date.issued | 2020 | |
dc.identifier.isbn | 978-3-03868-107-6 | |
dc.identifier.issn | 1727-348X | |
dc.identifier.uri | https://doi.org/10.2312/pgv.20201076 | |
dc.identifier.uri | https://diglib.eg.org:443/handle/10.2312/pgv20201076 | |
dc.description.abstract | Glyph rendering is an important scientific visualization technique for 3D, time-varying simulation data and for higherdimensional data in general. Though conceptually simple, there are several different challenges when realizing glyph rendering on top of triangle rasterization APIs, such as possibly prohibitive polygon counts, limitations of what shapes can be used for the glyphs, issues with visual clutter, etc. In this paper, we investigate the use of hardware ray tracing for high-quality, highperformance glyph rendering, and show that this not only leads to a more flexible and often more elegant solution for dealing with number and shape of glyphs, but that this can also help address visual clutter, and even provide additional visual cues that can enhance understanding of the dataset. | en_US |
dc.publisher | The Eurographics Association | en_US |
dc.rights | Attribution 4.0 International License | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | ] |
dc.subject | Human centered computing | |
dc.subject | Scientific visualization | |
dc.subject | Visualization techniques | |
dc.subject | Computing methodologies | |
dc.subject | Ray tracing | |
dc.subject | Graphics processors | |
dc.title | High-Quality Rendering of Glyphs Using Hardware-Accelerated Ray Tracing | en_US |
dc.description.seriesinformation | Eurographics Symposium on Parallel Graphics and Visualization | |
dc.description.sectionheaders | Short Papers | |
dc.identifier.doi | 10.2312/pgv.20201076 | |
dc.identifier.pages | 69-73 | |