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dc.contributor.authorPfeifle, Ronen_US
dc.contributor.authorSeidel, Hans-Peteren_US
dc.date.accessioned2014-10-21T07:41:33Z
dc.date.available2014-10-21T07:41:33Z
dc.date.issued1996en_US
dc.identifier.issn1467-8659en_US
dc.identifier.urihttp://dx.doi.org/10.1111/1467-8659.1510015en_US
dc.description.abstractScattered data is, by definition, irregularly spaced. Uniform surface schemes are not well adapted to the locally varying nature of such data. Conversely, Triangular B-Spline surfaces 2 are more flexible in that they can be built over arbitrary triangulations and thus can be adapted to the scattered data.This paper discusses the use of DMS spline surfaces for approximation of scattered data. A method is provided for automatically triangulating the domain containing the points and generating basis functions over this triangulation. A surface approximating the data is then found by a combination of least squares and bending energy minimization. This combination serves both to generate a smooth surface and to accommodate for gaps in the data. Examples are presented which demonstrate the eftectiveness of the technique for mathematical, geographical and other data sets.en_US
dc.publisherBlackwell Science Ltd and the Eurographics Associationen_US
dc.titleFitting Triangular B-Splines to Functional Scattered Dataen_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume15en_US
dc.description.number1en_US
dc.identifier.doi10.1111/1467-8659.1510015en_US
dc.identifier.pages15-23en_US


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