dc.contributor.author | Kratz, Andrea | en_US |
dc.contributor.author | Kettlitz, Nino | en_US |
dc.contributor.author | Hotz, Ingrid | en_US |
dc.contributor.editor | Peter Eisert and Joachim Hornegger and Konrad Polthier | en_US |
dc.date.accessioned | 2013-10-31T11:48:41Z | |
dc.date.available | 2013-10-31T11:48:41Z | |
dc.date.issued | 2011 | en_US |
dc.identifier.isbn | 978-3-905673-85-2 | en_US |
dc.identifier.uri | http://dx.doi.org/10.2312/PE/VMV/VMV11/145-152 | en_US |
dc.description.abstract | We present a particle-based approach to generate unstructured distributions of elliptical samples. Size and shape of the samples are determined by a local metric that is derived from a two-dimensional tensor field. In contrast to previous methods, we propose the use of an anisotropic Delaunay triangulation of particle positions. It guarantees exact neighbor computations and provides a good means for an explicit and automatic control of prominent holes and overlaps, which otherwise would result in unpleasant visualizations. We use the final distribution to compute a generalized Voronoi diagram, which represents a novel and flexible visualization technique for two-dimensional tensor fields. Via texturing of Voronoi regions, many possibilities arise to design the final image. | en_US |
dc.publisher | The Eurographics Association | en_US |
dc.subject | Categories and Subject Descriptors (according to ACM CCS): I.3.3 [Computer Graphics]: Picture/Image Generation-Line and curve generation | en_US |
dc.title | Particle-Based Anisotropic Sampling for Two-Dimensional Tensor Field Visualization | en_US |
dc.description.seriesinformation | Vision, Modeling, and Visualization (2011) | en_US |