Paper Info
Title
Image Space Based Visualization of Unsteady Flow on Surfaces
Abstract
We present a novel technique for direct visualization of unsteady flow on surfaces from computational fluid dynamics. The method generates dense representations of time-dependent vector fields with high spatio-temporal correlation using both Lagrangian-Eulerian Advection and Image Based Flow Visualization as its foundation. While the 3D vector fields are associated with arbitrary triangular surface meshes, the generation and advection of texture properties is confined to image space. Frame rates of up to 20 frames per second are realized by exploiting graphics card hardware. We apply this algorithm to unsteady flow on boundary surfaces of, large, complex meshes from computational fluid dynamics composed of more than 250,000 polygons, dynamic meshes with time-dependent geometry and topology, as well as medical data.
Year
DOI
Venue
2003
10.1109/VISUAL.2003.1250364
IEEE Visualization 2003
Keywords
Field
DocType
arbitrary triangular surface mesh,lagrangian-eulerian advection,unsteady flow,computational fluid dynamic,boundary surface,time-dependent vector field,image space,complex mesh,time-dependent geometry,flow visualization,vector field,computational fluid dynamics,data visualisation,texture mapping,frames per second,image texture,flow visualisation,visualization
Texture mapping,Polygon mesh,Computer science,Theoretical computer science,Artificial intelligence,Geometry,Computer vision,Lagrangian–Eulerian advection,Image texture,Vector field,Visualization,Computational fluid dynamics,Flow visualization
Conference
ISBN
Citations 
PageRank 
0-7695-2030-8
57
2.41
References 
Authors
15
3
Name
Order
Citations
PageRank
Robert S. Laramee1140585.31
Bruno Jobard239629.58
Helwig Hauser32757155.37