Dynamic Fluid Visualization Based on Multi-level Density
Hange Song, Shiguang Liu · 2016
This paper presents a novel method for streamline generation and selection for 2D and 3D fluid fields based on multi-level density. In the process, the outcome of the lowest-level density that includes the most streamlines is provided by a hybrid algorithm, which includes the entropy-based seeding strategy and grid-based filling method. Then the other levels are generated by using the selection algorithm based on the distance of the streamline and the fluid field, which is convenient for acquiring the results with different density. In 3D fields, the users can move viewpoint freely at the higher level so to obtain the general structure of fluid field and observe more details in the lower level.