2015 IEEE Pacific Visualization Symposium (PacificVis) (2015)
April 14, 2015 to April 17, 2015
Mark Kim , Scientific Computing and Imaging Institute, University of Utah, USA
Charles Hansen , Scientific Computing and Imaging Institute, University of Utah, USA
In this paper, we introduce a novel flow visualization technique for arbitrary surfaces. This new technique utilizes the closest point embedding to represent the surface, which allows for accurate particle advection on the surface as well as supports the unsteady flow line integral convolution (UFLIC) technique on the surface. This global approach is faster than previous parameterization techniques and prevents the visual artifacts associated with image-based approaches.
Visualization, Surface treatment, Face, Indexes, Graphics processing units, Arrays, Random access memory
M. Kim and C. Hansen, "Surface flow visualization using the closest point embedding," 2015 IEEE Pacific Visualization Symposium (PacificVis)(PACIFICVIS), Hangzhou, China, 2015, pp. 17-23.