A Gradient-Based Comparison Measure for Visual analysis of Multifield Data

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dc.contributor.authorNagaraj, Suthambharaen_US
dc.contributor.authorNatarajan, Vijayen_US
dc.contributor.authorNanjundiah, Ravi S.en_US
dc.contributor.editorH. Hauser, H. Pfister, and J. J. van Wijken_US
dc.date.accessioned2014-02-21T20:23:54Z
dc.date.available2014-02-21T20:23:54Z
dc.date.issued2011en_US
dc.description.abstractWe introduce a multifield comparison measure for scalar fields that helps in studying relations between them. The comparison measure is insensitive to noise in the scalar fields and to noise in their gradients. Further, it can be computed robustly and efficiently. Results from the visual analysis of various data sets from climate science and combustion applications demonstrate the effective use of the measure.en_US
dc.description.number3en_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume30en_US
dc.identifier.issn1467-8659en_US
dc.identifier.urihttps://doi.org/10.1111/j.1467-8659.2011.01959.xen_US
dc.publisherThe Eurographics Association and Blackwell Publishing Ltd.en_US
dc.subjectI.3.6 [Computer Graphics]en_US
dc.subjectComputer Graphicsen_US
dc.subjectMethodology and Techniquesen_US
dc.titleA Gradient-Based Comparison Measure for Visual analysis of Multifield Dataen_US
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