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dc.contributor.authorKhouas, Leila
dc.contributor.authorOdet, Christophe
dc.contributor.authorFriboulet, Denis
dc.contributor.editorSkala, Václav
dc.date.accessioned2015-09-24T11:55:13Z
dc.date.available2015-09-24T11:55:13Z
dc.date.issued1998
dc.identifier.citationJournal of WSCG. 1998, vol. 6, no. 1-3.en
dc.identifier.issn1213-6972 (print)
dc.identifier.issn1213-6980 (CD-ROM)
dc.identifier.issn1213-6964 (online)
dc.identifier.urihttp://wscg.zcu.cz/wscg1998/wscg98.htm
dc.identifier.urihttp://hdl.handle.net/11025/15938
dc.format7 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencycs
dc.relation.ispartofseriesJournal of WSCGen
dc.rights© Václav Skala - UNION Agencycs
dc.subjectpovrchové modelovánícs
dc.subjectAR modelovánícs
dc.subjectsyntéza texturycs
dc.subjectmapování texturcs
dc.subjectsimulacecs
dc.title3D furlike texture generation by a 2D autoregressive synthesisen
dc.typečlánekcs
dc.typearticleen
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedThis paper presents a texture model that allows a two dimensional synthesis of 3D furlike texture. The model is based on the modelling of the texture autocorrelation function (ACF) and a two dimensional AutoRegressive synthesis (2D AR). We consider that the appearance of a furlike texture is defined by two characteristics, the orientation and the length of each individual element (i.e. filament). The values of these characteristics are constant in a stationary texture. The AR synthesis model of a given texture is defined by a number of parameters which can be computed from the texture ACF. Therefore we have built a mathematical model of the ACF with respect to orientation and length. The model obtained consists of an analytical expression of ACF with respect to orientation. For the length we have used a lookup table. Indeed the ACF expression includes some parameters which are numerically estimated for several values of length. This allows to build a lookup table indexed by length and containing at each entry a set of ACF parameters. In this way a furlike texture synthesis based on this table can be implemented. We show that with an appropriate choice of other parameters of the AR synthesis this approach yields satisfying results essentially for the simulation of fur appearance on 3D surfaces.en
dc.subject.translatedtexture modellingen
dc.subject.translatedAR modellingen
dc.subject.translatedtexture synthesisen
dc.subject.translatedtexture mappingen
dc.subject.translatedsimulationen
dc.type.statusPeer-revieweden
Appears in Collections:Volume 6, number 1-3 (1998)

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