| dc.contributor.author | Osorio, Rodolfo S. Allendes | en_US |
| dc.contributor.author | Brodlie, Ken W. | en_US |
| dc.contributor.editor | Wen Tang and John Collomosse | en_US |
| dc.date.accessioned | 2014-01-31T20:06:48Z | |
| dc.date.available | 2014-01-31T20:06:48Z | |
| dc.date.issued | 2009 | en_US |
| dc.identifier.isbn | 978-3-905673-71-5 | en_US |
| dc.identifier.uri | http://dx.doi.org/10.2312/LocalChapterEvents/TPCG/TPCG09/215-222 | en_US |
| dc.description.abstract | In this paper we look at the Line Integral Convolution method for flow visualization and ways in which this can be applied to the visualization of two dimensional, steady flow fields in the presence of uncertainty. To achieve this, we start by studying the method and reviewing the history of modifications other authors have made to it in order to improve its efficiency or capabilities, and using these as a base for the visualization of uncertain flow fields. Finally, we apply our methodology to a case study from the field of oceanography. | en_US |
| dc.publisher | The Eurographics Association | en_US |
| dc.title | Uncertain Flow Visualization using LIC | en_US |
| dc.description.seriesinformation | Theory and Practice of Computer Graphics | en_US |
