Discrete Smooth Interpolation in Geometric Modelling
Identifieur interne : 000D62 ( Crin/Corpus ); précédent : 000D61; suivant : 000D63Discrete Smooth Interpolation in Geometric Modelling
Auteurs : J.-L. MalletSource :
- Computer Aided Design ; 1992.
English descriptors
- KwdEn :
Abstract
In such fields as geology and biology, a common problem is that of modelling complex surfaces that are defined by data of various types. Classical modelling techniques based on Bézier and spline interpolations can account for only some of these types of data. The paper proposes a different approach that is based on the discrete smooth interpolation method. In this approach, surfaces are modelled as 2D graphs whose node locations are determined for a wide variety of heterogeneous data.
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CRIN:mallet92aLe document en format XML
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<author><name sortKey="Mallet, J L" sort="Mallet, J L" uniqKey="Mallet J" first="J.-L." last="Mallet">J.-L. Mallet</name>
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<series><title level="j">Computer Aided Design</title>
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<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>geometric modelling</term>
<term>interpolation</term>
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<front><div type="abstract" xml:lang="en" wicri:score="1018">In such fields as geology and biology, a common problem is that of modelling complex surfaces that are defined by data of various types. Classical modelling techniques based on Bézier and spline interpolations can account for only some of these types of data. The paper proposes a different approach that is based on the discrete smooth interpolation method. In this approach, surfaces are modelled as 2D graphs whose node locations are determined for a wide variety of heterogeneous data.</div>
</front>
</TEI>
<BibTex type="article"><ref>mallet92a</ref>
<crinnumber>92-R-025</crinnumber>
<category>1</category>
<equipe>INFOGRAPHIE</equipe>
<author><e>Mallet, J.-L.</e>
</author>
<title>Discrete Smooth Interpolation in Geometric Modelling</title>
<journal>Computer Aided Design</journal>
<year>1992</year>
<volume>24</volume>
<number>4</number>
<pages>178-191</pages>
<month>Apr</month>
<keywords><e>geometric modelling</e>
<e>interpolation</e>
</keywords>
<abstract>In such fields as geology and biology, a common problem is that of modelling complex surfaces that are defined by data of various types. Classical modelling techniques based on Bézier and spline interpolations can account for only some of these types of data. The paper proposes a different approach that is based on the discrete smooth interpolation method. In this approach, surfaces are modelled as 2D graphs whose node locations are determined for a wide variety of heterogeneous data.</abstract>
</BibTex>
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