Image Space Based Visualization of Unsteady Flow on Surfaces

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Image Space Based Visualization of Unsteady Flow on Surfaces (2003)

by Robert S. Laramee , Bruno Jobard , Helwig Hauser

Venue:	In Proceedings IEEE Visualization ’03
Citations:	67 - 18 self

BibTeX

@INPROCEEDINGS{Laramee03imagespace,
    author = {Robert S. Laramee and Bruno Jobard and Helwig Hauser},
    title = {Image Space Based Visualization of Unsteady Flow on Surfaces},
    booktitle = {In Proceedings IEEE Visualization ’03},
    year = {2003},
    pages = {131--138},
    publisher = {IEEE Computer Society}
}

OpenURL

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 LagrangianEulerian 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.

Keyphrases

unsteady flow image space computational fluid dynamic high spatio-temporal correlation graphic card hardware frame rate dense representation vector field medical data time-dependent vector field arbitrary triangular surface mesh complex mesh flow visualization boundary surface direct visualization lagrangianeulerian advection texture property novel technique time-dependent geometry dynamic mesh

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