View point evaluation and streamline filtering for flow visualization

Citations Over TimeTop 10% of 2011 papers

Abstract

Visualization of flow fields with geometric primitives is often challenging due to occlusion that is inevitably introduced by 3D streamlines. In this paper, we present a novel view-dependent algorithm that can minimize occlusion and reveal important flow features for three dimensional flow fields. To analyze regions of higher importance, we utilize Shannon's entropy as a measure of vector complexity. An entropy field in the form of a three dimensional volume is extracted from the input vector field. To utilize this view-independent complexity measure for view-dependent calculations, we introduce the notion of a maximal entropy projection (MEP) framebuffer, which stores maximal entropy values as well as the corresponding depth values for a given viewpoint. With this information, we develop a view-dependent streamline selection algorithm that can evaluate and choose streamlines that will cause minimum occlusion to regions of higher importance. Based on a similar concept, we also propose a viewpoint selection algorithm that works hand-in-hand with our streamline selection algorithm to maximize the visibility of high complexity regions in the flow field.

Related Papers

• → Flow Function for Streamlines Representative of the Flow on a Plane in Three-Dimensional Flow.(1998)7 cited
• → Cooperative phenomena in laminar fluids: Observation of streamlines(2005)6 cited
• → The study of temperature field impact on velocity of fluid in streamlines coordinates in free convection problem(2017)1 cited
• → The study of temperature field impact on velocity of fluid in\n streamlines coordinates in free convection problem(2017)