Clustering Based 2D Vector Field Visualization

Critical points such as saddle point are one set of the most important features in 2D vector field visualization methods.A novel clustering based approach is proposed in this paper.First, a set of streamlines are generated, and are clustered into different groups.Conjugated normal vector field and dense matrices are introduced to accelerate the sorting of the streamlines in each group.Thereafter, different post-processes can be performed according to various visualization applications:a streamline simplification that works for each group;a multi-resolution evenly-spaced streamline placement based on streamline proximity;an enhanced texture based visualization based on the weighted matrix.Experiments show that our results are satisfactory and robust.