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DC poleHodnotaJazyk
dc.contributor.authorPadinjarathala, Antony
dc.contributor.authorSadleir, Robert
dc.contributor.editorSkala, Václav
dc.date.accessioned2023-10-18T15:42:43Z
dc.date.available2023-10-18T15:42:43Z
dc.date.issued2023
dc.identifier.citationWSCG 2023: full papers proceedings: 1. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, p. 331-339.en
dc.identifier.isbn978-80-86943-32-9
dc.identifier.issn2464–4617 (print)
dc.identifier.issn2464–4625 (CD/DVD)
dc.identifier.urihttp://hdl.handle.net/11025/54441
dc.format9 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencyen
dc.rights© Václav Skala - UNION Agencyen
dc.subjectpovrchová extrakcecs
dc.subjectHistoPyramidcs
dc.subjectparalelní zpracovánícs
dc.subjectCUDAcs
dc.subjectkostkycs
dc.titleUsing the Adaptive HistoPyramid to Enhance Performance of Surface Extraction in 3D Medical Image Visualisationen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedThere are currently a range of different approaches for extracting iso-surfaces from volumetric medi cal image data. Of these, the HistoPyramid appears to be one of the more promising options. This is due to its use of stream compaction and expansion which facilitates extremely efficient traversal of the HistoPyramid structure. This paper introduces a novel extension to the HistoPyramid concept that entails incorporating a variable reduction between the HP layers in order to better fit volumes with arbitrary dimensions, thus saving memory and improving performance. As with the existing HistoPy ramid techniques, the adaptive version lends itself to implementation on the GPU which in turn leads to further performance improvements. Ultimately, when compared against the best performing existing HistoPyramids, the adaptive approach yielded a performance improvement of up to 20% without any impact on the accuracy of the extracted mesh.en
dc.subject.translatedmarching cubesen
dc.subject.translatedsurface extractionen
dc.subject.translatedHistoPyramiden
dc.subject.translatedparallel processingen
dc.subject.translatedCUDAen
dc.identifier.doihttps://www.doi.org/10.24132/CSRN.3301.57
dc.type.statusPeer-revieweden
Vyskytuje se v kolekcích:WSCG 2023: Full Papers Proceedings

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