Feature Identification and Extraction in Function Fields

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dc.contributor.authorAnderson, John C.en_US
dc.contributor.authorGosink, Luke J.en_US
dc.contributor.authorDuchaineau, Mark A.en_US
dc.contributor.authorJoy, Kenneth I.en_US
dc.contributor.editorK. Museth and T. Moeller and A. Ynnermanen_US
dc.date.accessioned2014-01-31T07:11:05Z
dc.date.available2014-01-31T07:11:05Z
dc.date.issued2007en_US
dc.description.abstractWe present interactive techniques for identifying and extracting features in function fields. Function fields map points in n-dimensional Euclidean space to 1-dimensional scalar functions. Visual feature identification is ac- complished by interactively rendering scalar distance fields, constructed by applying a function-space distance metric over the function field. Combining visual exploration with feature extraction queries, formulated as a set of function-space constraints, facilitates quantitative analysis and annotation. Numerous application domains give rise to function fields. We present results for two-dimensional hyperspectral images, and a simulated time-varying, three-dimensional air quality dataset.en_US
dc.description.seriesinformationEurographics/ IEEE-VGTC Symposium on Visualizationen_US
dc.identifier.isbn978-3-905673-45-6en_US
dc.identifier.issn1727-5296en_US
dc.identifier.urihttps://doi.org/10.2312/VisSym/EuroVis07/195-201en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): I.3.6 [Computer Graphics]: Methodology and Techniquesen_US
dc.titleFeature Identification and Extraction in Function Fieldsen_US
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EuroVis07: Joint Eurographics - IEEE VGTC Symposium on Visualization