Identifying linear vector fields on 2D manifolds

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dc.contributor.authorVolke, Sebastian
dc.contributor.authorKoch, Stefan
dc.contributor.authorHlawitschka, Mario
dc.contributor.editorSkala, Václav
dc.date.accessioned2018-04-10T08:30:10Z
dc.date.available2018-04-10T08:30:10Z
dc.date.issued2016
dc.description.abstractLocal linearity of vector fields is a property that is well researched and understood. Linear approximation can be used to simplify algorithms or for data reduction. Whereas the concept is easy to implement in 2D and 3D, it loses meaning on manifolds as linearity has either to be defined based on an embedding in a higher-dimensional Cartesian space or on a map. We present an adaptive atlas-based vector field decomposition to solve the problem on manifolds and present its application on synthetic and climate data.en
dc.format8 s.cs
dc.format.mimetypeapplication/pdf
dc.identifier.citationWSCG 2016: full papers proceedings: 24th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision in co-operation with EUROGRAPHICS Association, p. 9-16.en
dc.identifier.isbn978-80-86943-57-2
dc.identifier.issn2464–4617 (print)
dc.identifier.issn2464–4625 (CD-ROM)
dc.identifier.uriwscg.zcu.cz/WSCG2016/!!_CSRN-2601.pdf
dc.identifier.urihttp://hdl.handle.net/11025/29526
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencycs
dc.relation.ispartofseriesWSCG 2016: full papers proceedingsen
dc.rights© Václav Skala - UNION Agencyen
dc.rights.accessopenAccessen
dc.subjectfyzikální vědy a inženýrstvícs
dc.subjectvědy o životním prostředícs
dc.subjectvektorové pole projekcecs
dc.subjectpřibližování vektorových polícs
dc.subject.translatedphysical sciences and engineeringen
dc.subject.translatedenvironmental sciencesen
dc.subject.translatedvector field projectionen
dc.subject.translatedvector field approximationen
dc.titleIdentifying linear vector fields on 2D manifoldsen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen

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