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dc.contributor.authorHuang, Runzhenen_US
dc.contributor.authorYu, Hongfengen_US
dc.contributor.authorMa, Kwan-Liuen_US
dc.contributor.authorStaadt, Oliveren_US
dc.contributor.editorH.-C. Hege and R. Machiraju and T. Moeller and M. Srameken_US
dc.date.accessioned2014-01-29T17:53:56Z
dc.date.available2014-01-29T17:53:56Z
dc.date.issued2007en_US
dc.identifier.isbn978-3-905674-03-3en_US
dc.identifier.issn1727-8376en_US
dc.identifier.urihttp://dx.doi.org/10.2312/VG/VG07/099-106en_US
dc.description.abstractIn many volume segmentation and visualization tasks, the ability to correctly identify the boundary surface of each volumetric feature of interest in the data is desirable. This surface can be used in subsequent quantitative studies of the segmented features. In this paper, we present an automatic approach to generate accurate representations of a feature of interest from volume segmentation. Our method first locates a set of points, which tightly define the boundary of the volumetric feature. This set of points can then be used to construct a boundary surface mesh. We also describe how to construct an anti-aliased volume representation of the segmented feature from this point set to enable high-quality volume rendering of the feature. These three representations - point set, boundary surface mesh, and anti-aliased volume segment - have a wide variety of applications.en_US
dc.publisherThe Eurographics Associationen_US
dc.titleAutomatic Feature Modeling Techniques for Volume Segmentation Applicationsen_US
dc.description.seriesinformationEurographics/IEEE VGTC Symposium on Volume Graphicsen_US


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