Particle-based Flow Visualization
Kai Bürger · 2010
Due to technological and algorithmic advances it is by now possible to simulate complicated 3D unsteady flows at a very high spatial resolution. To find relevant features in such flows, and, thus, to gain insight into the underlying flow phenomena, effective exploration mechanisms are needed. Especially interactive visual exploration environments are important, since they enable putting experts and their capabilities into the center of the exploration process. This requires new possibilities to interactively guide the exploration process by exploiting the humans' perceptual and cognitive abilities. This thesis presents a framework for the visual exploration of 3D unsteady flow fields that addresses the aforementioned requirements. A variety of techniques for interactive flow visualization has been developed, consisting of novel concepts as well as extensions of existing geometry-, texture- and feature-based flow visualization techniques.