Laramee, Robert S.Hauser, HelwigDoleisch, HelmutVrolijk, BenjaminPost, Frits H. and Weiskopf, Daniel2015-02-192015-02-1920041467-8659https://doi.org/10.1111/j.1467-8659.2004.00753.xFlow 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.10.1111/j.1467-8659.2004.00753.x203-221