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dc.contributor.authorUgail, Hassan*
dc.date.accessioned2009-05-19T13:22:48Z
dc.date.available2009-05-19T13:22:48Z
dc.date.issued2007
dc.identifier.citationUgail, H. (2007). 3D data modelling and processing using partial differential equations. Advances and Applications of Dezert-Smarandache Theory for Plausible and Paradoxical Reasoning for Information Fusion. Bulgarian Academy of Sciences (ed.), pp. 54--58.en
dc.identifier.urihttp://hdl.handle.net/10454/2672
dc.descriptionNoen
dc.description.abstractIn this paper we discuss techniques for 3D data modelling and processing where the data are usually provided as point clouds which arise from 3D scanning devices. The particular approaches we adopt in modelling 3D data involves the use of Partial Differential Equations (PDEs). In particular we show how the continuous and discrete versions of elliptic PDEs can be used for data modelling. We show that using PDEs it is intuitively possible to model data corresponding to complex scenes. Furthermore, we show that data can be stored in compact format in the form of PDE boundary conditions. In order to demonstrate the methodology we utlise several examples of practical nature.en
dc.language.isoenen
dc.rights© 2007 Ugail, H. Reproduced by permission from the copyright holder.en
dc.subject3D data modellingen
dc.subjectPartial differential equations (PDEs)en
dc.subjectData storageen
dc.title3D data modelling and processing using partial differential equations.en
dc.status.refereedYesen
dc.typeBook chapteren
dc.type.versionAccepted Manuscripten
refterms.dateFOA2018-07-18T02:10:07Z


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