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.

@Article { LHDVPW04a,
  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          = "http://graphics.tudelft.nl/Publications-new/2004/LHDVPW04a"
}