Parallel Reflective Symmetry Transformation for Volume Data

dc.contributor.authorHong, Yuanen_US
dc.contributor.authorShen, Han-Weien_US
dc.contributor.editorJean M. Favre and Luis Paulo Santos and Dirk Reinersen_US
dc.date.accessioned2014-01-26T16:36:43Z
dc.date.available2014-01-26T16:36:43Z
dc.date.issued2007en_US
dc.description.abstractMany volume data possess symmetric features that can be clearly observed, for example, those existed in diffusion tensor image data sets. The exploitations of symmetries for volume data sets, however, are relatively limited due to the prohibitive computational cost of detecting the symmetries. In this paper we present an efficient parallel algorithm for symmetry computation in volume data represented by regular grids. Optimization is achieved by converting the raw data into a hierarchical tree-like structure.We design a novel algorithm to partition the tree and distribute the data among processors to minimize the data dependency at run time. The computed symmetries are useful for several volume data applications, including POF minimal opacity selection, transfer function generation and slice position selection.en_US
dc.description.seriesinformationEurographics Symposium on Parallel Graphics and Visualizationen_US
dc.identifier.isbn978-3-905673-50-0en_US
dc.identifier.issn1727-348Xen_US
dc.identifier.urihttps://doi.org/10.2312/EGPGV/EGPGV07/077-083en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): I.3.1 [Computer Graphics]: Symmetry; I.3.3 [Computer Graphics]: Volume Rendering; I.3.3 [Computer Graphics]: Parallel Computingen_US
dc.titleParallel Reflective Symmetry Transformation for Volume Dataen_US
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