Interactive visualization of 3D-vector fields using illuminated stream lines
Proceedings of the 7th conference on Visualization '96
UberFlow: a GPU-based particle engine
Proceedings of the ACM SIGGRAPH/EUROGRAPHICS conference on Graphics hardware
A Particle System for Interactive Visualization of 3D Flows
IEEE Transactions on Visualization and Computer Graphics
Interactive Streak Surface Visualization on the GPU
IEEE Transactions on Visualization and Computer Graphics
Depth-Dependent Halos: Illustrative Rendering of Dense Line Data
IEEE Transactions on Visualization and Computer Graphics
Proceedings of the 2010 ACM SIGGRAPH symposium on Interactive 3D Graphics and Games
Streak Lines as Tangent Curves of a Derived Vector Field
IEEE Transactions on Visualization and Computer Graphics
IEEE Transactions on Visualization and Computer Graphics
A Study of Parallel Particle Tracing for Steady-State and Time-Varying Flow Fields
IPDPS '11 Proceedings of the 2011 IEEE International Parallel & Distributed Processing Symposium
Advected Tangent Curves: A General Scheme for Characteristic Curves of Flow Fields
Computer Graphics Forum
Visualization of Advection-Diffusion in Unsteady Fluid Flow
Computer Graphics Forum
Physically-based dye advection for flow visualization
EuroVis'08 Proceedings of the 10th Joint Eurographics / IEEE - VGTC conference on Visualization
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Recent research in flow visualization is focusing on the analysis of time-dependent, but mass-less particles. However, in many application scenarios, the mass of particles -- and their resulting inertia -- is essential in understanding fluid mechanics. This includes critical processes, such as dust particles interacting with aircraft (e.g., brown- or white-out effects) and particle separation based on density variation. In this paper, we contribute a generalized description of mass-dependent particle trajectories and apply existing unsteady flow visualization methods to the mass-dependent case. This comprises the extension of common concepts, i.e., path lines, streak lines, and time lines. Furthermore, we introduce a new class of integral curves, called mass lines that effectively visualizes mass separation and captures mass-related features in unsteady flow fields that are inaccessible using traditional methods. We demonstrate the applicability of our method, using a number of real-world and artificial data sets, in which mass is a crucial parameter. In particular, we focus on the analysis of brown-out conditions, introduced by a helicopter in forward flight close to the ground.