Moving with the flow: an automatic tour of unsteady flow fields
Document Type
Article
Publication Date
12-2019
Department
Department of Computer Science
Abstract
We present a novel framework that creates an automatic tour of unsteady flow fields for exploring internal flow features. Our solution first identifies critical flow regions for time steps and computes their temporal correspondence. We then extract skeletons from critical regions for feature orientation and pathline placement. The key part of our algorithm determines which critical region to focus on at each time step and derives the region traversal order over time using a combination of energy minimization and dynamic programming strategies. After that, we create candidate viewpoints based on the construction of a simplified mesh enclosing each focal region and select the best viewpoints using a viewpoint quality measure. Finally, we design a spatiotemporal tour that efficiently traverses focal regions over time. We demonstrate our algorithm with several unsteady flow data sets and perform a user study and an expert evaluation to confirm the benefits of including internal viewpoints in the design.
Publication Title
Journal of Visualization
Recommended Citation
Ma, J.,
Tao, J.,
Wang, C.,
Li, C.,
Shene, C.,
&
Kim, S. H.
(2019).
Moving with the flow: an automatic tour of unsteady flow fields.
Journal of Visualization,
22(6), 1125-1144.
http://doi.org/10.1007/s12650-019-00592-3
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p/885
Publisher's Statement
© The Visualization Society of Japan 2019. Publisher’s version of record: https://doi.org/10.1007/s12650-019-00592-3