Visual Coherence for Large-Scale Line-Plot Visualizations
| dc.contributor.author | Muigg, Philipp | en_US |
| dc.contributor.author | Hadwiger, Markus | en_US |
| dc.contributor.author | Doleisch, Helmut | en_US |
| dc.contributor.author | Gröller, Eduard | en_US |
| dc.contributor.editor | H. Hauser, H. Pfister, and J. J. van Wijk | en_US |
| dc.date.accessioned | 2014-02-21T20:23:18Z | |
| dc.date.available | 2014-02-21T20:23:18Z | |
| dc.date.issued | 2011 | en_US |
| dc.description.abstract | Displaying a large number of lines within a limited amount of screen space is a task that is common to many different classes of visualization techniques such as time-series visualizations, parallel coordinates, link-node diagrams, and phase-space diagrams. This paper addresses the challenging problems of cluttering and overdraw inherent to such visualizations. We generate a 2x2 tensor field during line rasterization that encodes the distribution of line orientations through each image pixel. Anisotropic diffusion of a noise texture is then used to generate a dense, coherent visualization of line orientation. In order to represent features of different scales, we employ a multi-resolution representation of the tensor field. The resulting technique can easily be applied to a wide variety of line-based visualizations. We demonstrate this for parallel coordinates, a time-series visualization, and a phase-space diagram. Furthermore, we demonstrate how to integrate a focus+context approach by incorporating a second tensor field. Our approach achieves interactive rendering performance for large data sets containing millions of data items, due to its image-based nature and ease of implementation on GPUs. Simulation results from computational fluid dynamics are used to evaluate the performance and usefulness of the proposed method. | en_US |
| dc.description.number | 3 | en_US |
| dc.description.seriesinformation | Computer Graphics Forum | en_US |
| dc.description.volume | 30 | en_US |
| dc.identifier.doi | 10.1111/j.1467-8659.2011.01913.x | en_US |
| dc.identifier.issn | 1467-8659 | en_US |
| dc.identifier.uri | https://doi.org/10.1111/j.1467-8659.2011.01913.x | en_US |
| dc.publisher | The Eurographics Association and Blackwell Publishing Ltd. | en_US |
| dc.title | Visual Coherence for Large-Scale Line-Plot Visualizations | en_US |