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DC poleHodnotaJazyk
dc.contributor.authorChambelland, J. C.
dc.contributor.authorDaniel, M.
dc.contributor.authorBrun, J. M.
dc.contributor.editorJorge, Joaquim
dc.contributor.editorSkala, Václav
dc.date.accessioned2013-12-16T08:14:28Z
dc.date.available2013-12-16T08:14:28Z
dc.date.issued2006
dc.identifier.citationWSCG '2006: Short Papers Proceedings: The 14-th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2006: University of West Bohemia, Plzen, Czech Republic, January 31 - February 2, 2006, p. 39-46.en
dc.identifier.isbn80-86943-05-4
dc.identifier.urihttp://wscg.zcu.cz/WSCG2006/Papers_2006/Short/!WSCG2006_Short_Proceedings_Final.pdf
dc.identifier.urihttp://hdl.handle.net/11025/6589
dc.description.abstractThis paper adresses the problem of least-square fitting with rational pole curves. The issue is to minimize a sum of squared Euclidean norms with respect to three types of unknowns: the control points, the node values, and the weights. A new iterative algorithm is proposed to solve this problem. The method alternates between three steps to converge towards a solution. One step uses the projection of the data points on the approximant to improve the node values, the two others use a gradient based technique to update the control point positions and the weight values. Experimental results are proposed with rational Bézier and NURBS curves.en
dc.format8 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencyen
dc.relation.ispartofseriesWSCG '2006: Short Papers Proceedingsen
dc.rights© Václav Skala - UNION Agencycs
dc.subjectgrafické algoritmycs
dc.subjectiterační metodacs
dc.subjectmetoda nejmenších čtvercůcs
dc.titleAn iterative method for rational pole curve fittingen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.subject.translatedgraphic algorithmsen
dc.subject.translatediteration methodsen
dc.subject.translatedleast-square fittingen
dc.type.statusPeer-revieweden
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