Tony McLouglin, Robert S. Laramee, Ronald Peikert, Frits H. Post and Min Chen
Over Two Decades of Integration-Based Geometric Flow Visualization,
in
Computer Graphics Forum, Vol. 29, No. 6, 2010, pages 1807-1829
(PDF, WWW). ABSTRACT: With ever increasing computing power, it is possible to process ever
more complex fluid simulations. However, a gap between data set sizes
and our ability to visualize them remains.
This is especially true for the field of flow visualization which deals
with large, time-dependent, multivariate simulation datasets.
In this paper, geometry based flow visualization techniques form the
focus of discussion. Geometric flow visualization methods place discrete
objects in the velocity field whose characteristics reflect the
underlying properties of the flow. A great amount of progress has been
made in this field over the last two decades. However, a number of
challenges remain, including placement, speed of computation, and
perception. In this survey, we review and classify geometric flow
visualization literature according to the most important challenges when
considering such a visualization, a central theme being the seeding
algorithm upon which they are based. This paper details our
investigation into these techniques with discussions on their
applicability and their relative merits and drawbacks. The result is an
up-to-date overview of the current state-of-the-art that highlights both
solved and unsolved problems in this rapidly evolving branch of
research. It also serves as a concise introduction to the field of flow
visualization research.
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