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dc.contributor.authorHauenstein, Jacob
dc.contributor.authorNewman, Timothy S.
dc.contributor.editorSkala, Václav
dc.date.accessioned2021-08-30T08:18:32Z
dc.date.available2021-08-30T08:18:32Z
dc.date.issued2021
dc.identifier.citationJournal of WSCG. 2021, vol. 29, no. 1-2, p. 11-20.en
dc.identifier.issn1213-6972 (print)
dc.identifier.issn1213-6980 (CD-ROM)
dc.identifier.issn1213-6964 (on-line)
dc.identifier.urihttp://wscg.zcu.cz/WSCG2021/2021-J-WSCG-1-2.pdf
dc.identifier.urihttp://hdl.handle.net/11025/44944
dc.format10 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencycs
dc.rights© Václav Skala - UNION Agencycs
dc.subjectzakřivenícs
dc.subjectvolumetrická datacs
dc.subject3D rozdělovačcs
dc.subjecthyperplochacs
dc.subjectzobrazovánícs
dc.titleNew Methods and Novel Framework for Hypersurface Curvature Determination and Analysisen
dc.typečlánekcs
dc.typearticleen
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedNew methods for hypersurface (that is, 3-dimensional manifold) curvature determination in volumetric data areintroduced. One method is convolution-based. Another method is spline-based. Method accuracy is also analyzed,with that analysis involving comparison of the methods with each other as well as against two existing convolution-based methods. The accuracy analysis utilizes a novel framework that enables curvature determination methodaccuracy analysis via dynamically generated synthetic test datasets formed from continuous trivariate functions.Such functions enable accuracy analysis versus ground truth. The framework is also described here.en
dc.subject.translatedcurvatureen
dc.subject.translatedvolumetric dataen
dc.subject.translated3D Manifolden
dc.subject.translatedhypersurfaceen
dc.subject.translatedimagingen
dc.identifier.doihttps://doi.org/10.24132/JWSCG.2021.29.2
dc.type.statusPeer-revieweden
Vyskytuje se v kolekcích:Volume 29, Number 1-2 (2021)

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