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dc.contributor.authorZhao, Xinen_US
dc.contributor.authorKaufman, Arieen_US
dc.contributor.editorRuediger Westermann and Gordon Kindlmannen_US
dc.date.accessioned2014-01-29T18:00:35Z
dc.date.available2014-01-29T18:00:35Z
dc.date.issued2010en_US
dc.identifier.isbn978-3-905674-23-1en_US
dc.identifier.issn1727-8376en_US
dc.identifier.urihttp://dx.doi.org/10.2312/VG/VG10/069-076en_US
dc.description.abstractMulti-dimensional transfer functions are widely used to provide appropriate data classification for direct volume rendering. Nevertheless, the design of a multi-dimensional transfer function is a complicated task. In this paper, we propose to use parallel coordinates, a powerful tool to visualize high-dimensional geometry and analyze multivariate data, for multi-dimensional transfer function design. This approach has two major advantages: (1) Combining the information of spatial space (voxel position) and parameter space; (2) Selecting appropriate highdimensional parameters to obtain sophisticated data classification. Although parallel coordinates offers simple interface for the user to design the high-dimensional transfer function, some extra work such as sorting the coordinates is inevitable. Therefore, we use a local linear embedding technique for dimension reduction to reduce the burdensome calculations in the high dimensional parameter space and to represent the transfer function concisely. With the aid of parallel coordinates, we propose some novel high-dimensional transfer function widgets for better visualization results. We demonstrate the capability of our parallel coordinates based transfer function (PCbTF) design method for direct volume rendering using CT and MRI datasets.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): I.3.3 [Computer Graphics]: Picture/Image Generation-Line and curve generationen_US
dc.titleMulti-dimensional Reduction and Transfer Function Design using Parallel Coordinatesen_US
dc.description.seriesinformationIEEE/ EG Symposium on Volume Graphicsen_US


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