Computer Graphics Forum
The State of the Art in Flow Visualisation: Dense and Texture-Based Techniques
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.
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@article{bib:laramee:2004, author = { Laramee, Robert S. and Hauser, Helwig and Doleisch, Helmut and Vrolijk, Benjamin and Post, Frits H. and Weiskopf, Daniel }, title = { The State of the Art in Flow Visualisation: Dense and Texture-Based Techniques }, journal = { Computer Graphics Forum }, year = { 2004 }, note = { Accepted, to appear. }, url = { https://publications.graphics.tudelft.nl/papers/749 }, }