Improving Topological Segmentation of Three-dimensional Vector Fields

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dc.contributor.authorMahrous, Karim M.en_US
dc.contributor.authorBennett, Janine C.en_US
dc.contributor.authorHamann, Bernden_US
dc.contributor.authorJoy, Kenneth I.en_US
dc.contributor.editorG.-P. Bonneau and S. Hahmann and C. D. Hansenen_US
dc.date.accessioned2014-01-30T07:36:38Z
dc.date.available2014-01-30T07:36:38Z
dc.date.issued2003en_US
dc.description.abstractWe present three enhancements to accelerate the extraction of separatrices of three-dimensional vector fields, using intelligently selected "sample" streamlines. These enhancements reduce the number of needed sample streamlines and their propagation length. Inflow/outflow matching supports the simultaneous extraction of topologically significant inflow and outflow separatrices in a single pass. An adaptive sampling approach is introduced and used to seed streamlines in a more meaningful and efficient manner. Cell-locking is a new concept that isolates regions of a data set that do not contain separatrices. This concept makes streamline propagation more efficient as streamlines are not propagated through cells that do not influence or contain separatrices. These enhancements enable us to perform separatrix construction for three-dimensional vector field data requiring less overall computation.en_US
dc.description.seriesinformationEurographics / IEEE VGTC Symposium on Visualizationen_US
dc.identifier.isbn3-905673-01-0en_US
dc.identifier.issn1727-5296en_US
dc.identifier.urihttps://doi.org/10.2312/VisSym/VisSym03/203-212en_US
dc.publisherThe Eurographics Associationen_US
dc.titleImproving Topological Segmentation of Three-dimensional Vector Fieldsen_US
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