The State of the Art in Flow Visualization: Dense and Texture-Based Techniques
dc.contributor.author | Laramee, Robert S. | en_US |
dc.contributor.author | Hauser, Helwig | en_US |
dc.contributor.author | Doleisch, Helmut | en_US |
dc.contributor.author | Vrolijk, Benjamin | en_US |
dc.contributor.author | Post, Frits H. and Weiskopf, Daniel | en_US |
dc.date.accessioned | 2015-02-19T07:36:30Z | |
dc.date.available | 2015-02-19T07:36:30Z | |
dc.date.issued | 2004 | en_US |
dc.description.abstract | Flow visualization has been a very attractive component of scientific visualization research for a long time. Usually very large multivariate datasets require processing. These datasets often consist of a large number of sample locations and several time steps. The steadily increasing performance of computers has recently become a driving factor for a reemergence in flow visualization research, especially in texture-based techniques. In this paper, dense, texture-based flow visualization techniques are discussed. This class of techniques attempts to provide a complete, dense representation of the flow field with high spatio-temporal coherency. An attempt of categorizing closely related solutions is incorporated and presented. Fundamentals are shortly addressed as well as advantages and disadvantages of the methods. | en_US |
dc.description.documenttype | star | |
dc.description.number | 2 | en_US |
dc.description.seriesinformation | Computer Graphics Forum | en_US |
dc.description.volume | 23 | en_US |
dc.identifier.doi | 10.1111/j.1467-8659.2004.00753.x | en_US |
dc.identifier.issn | 1467-8659 | en_US |
dc.identifier.pages | 203-221 | en_US |
dc.identifier.uri | https://doi.org/10.1111/j.1467-8659.2004.00753.x | en_US |
dc.publisher | The Eurographics Association and Blackwell Publishing Ltd. | en_US |
dc.title | The State of the Art in Flow Visualization: Dense and Texture-Based Techniques | en_US |