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dc.contributor.authorReinders, Freeken_US
dc.contributor.authorJacobson, Melvin E.D.en_US
dc.contributor.authorPost, Frits H.en_US
dc.contributor.editorW. de Leeuw and R. van Liereen_US
dc.date.accessioned2014-01-30T06:41:34Z
dc.date.available2014-01-30T06:41:34Z
dc.date.issued2000en_US
dc.identifier.isbn3211835156en_US
dc.identifier.issn1727-5296en_US
dc.identifier.urihttp://dx.doi.org/10.2312/VisSym/VisSym00/073-082en_US
dc.description.abstractAn essential step in feature extraction is the calculation of attribute sets describing the characteristics of a feature. Often, attribute sets include the position, size, and orientation of the feature. These attributes are very important, but they do not provide a good approximation of the shape of a feature. For better shape description, a more sophisticated method is needed. This paper describes a method that extracts a binary skeleton of a feature, and transforms it into a graphical representation: the skeleton-graph. This graph represents the original skeleton with controlled precision, and contains the essential topology and geometry of the skeleton. In addition, distance information is used to generate a simplified reconstruction of the original 3D feature shape, which can also be used as an iconic object for visualization.en_US
dc.publisherThe Eurographics Associationen_US
dc.titleSkeleton Graph Generation for Feature Shape Descriptionen_US
dc.description.seriesinformationEurographics / IEEE VGTC Symposium on Visualizationen_US


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