Title
Lagrangian-Eulerian advection of noise and dye textures for unsteady flow visualization
Abstract
A new hybrid scheme, called Lagrangian-Eulerian advection (LEA), that combines the advantages of the Eulerian and Lagrangian frameworks is applied to the visualization of dense representations of time-dependent vector fields. The algorithm encodes the particles into a texture that is then advected. By treating every particle equally, we can handle texture advection and dye advection within a single framework. High temporal and spatial correlation is achieved through the blending of successive frames. A combination of particle and dye advection enables the simultaneous visualization of streamlines, particle paths and streak-lines. We demonstrate various experimental techniques on several physical flow fields. The simplicity of both the resulting data structures and the implementation suggest that LEA could become a useful component of any scientific visualization toolkit concerned with the display of unsteady flows.
Year
DOI
Venue
2002
10.1109/TVCG.2002.1021575
Visualization and Computer Graphics, IEEE Transactions  
Keywords
Field
DocType
computational fluid dynamics,convection,data visualisation,dyes,flow visualisation,image texture,noise,spatial data structures,Lagrangian-Eulerian advection,data structures,dense representations,dye advection,dye textures,flow display,frame blending,noise textures,particle encoding,particle paths,scientific visualization,spatial correlation,streak-lines,streamlines,temporal correlation,texture advection,time-dependent vector fields,unsteady flow fields,unsteady flow visualization
Computer vision,Lagrangian–Eulerian advection,Visualization,Computer science,Texture advection,Theoretical computer science,Eulerian path,Advection,Artificial intelligence,Streamlines, streaklines, and pathlines,Flow visualization,Scientific visualization
Journal
Volume
Issue
ISSN
8
3
1077-2626
Citations 
PageRank 
References 
56
3.52
12
Authors
3
Name
Order
Citations
PageRank
Bruno Jobard139629.58
Gordon Erlebacher244334.54
M. Yousuff Hussaini318618.73