Mesh-Driven Vector Field Clustering and Visualization: An Image-Based Approach

—Vector field visualization techniques have evolved very rapidly over the last two decades, however, visualizing vector fields on complex boundary surfaces from computational flow dynamics (CFD) still remains a challenging task. In part, this is due to the large, unstructured, adaptive resolution characteristics of the meshes used in the modeling and simulation process. Out of the wide variety of existing flow field visualization techniques, vector field clustering algorithms offer the advantage of capturing a detailed picture of important areas of the domain while presenting a simplified view of areas of less importance. This paper presents a novel, robust, automatic vector field clustering algorithm that produces intuitive and insightful images of vector fields on large, unstructured, adaptive resolution boundary meshes from CFD. Our bottom-up, hierarchical approach is the first to combine the properties of the underlying vector field and mesh into a unified error-drive...

• Type: Journal
• Year: 2012
• Where: TVCG
• Authors: Zhenmin Peng, Edward Grundy, Robert S. Laramee, Guoning Chen, Nick Croft
• Keywords: Cfd Engineers, Hardware, Surface Parameterization, TVCG 2012, Vector Eld