IEEE International Conference on Shape Modeling and Applications 2006 (SMI'06)
DOI: 10.1109/smi.2006.43
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Weak Approximate Implicitization

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Cited by 9 publications
(22 citation statements)
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“…The accuracy of the construction of this matrix can be confirmed by checking that the elements sum to 1 2 (see Theorem 2 in [5]). Again, performing an SVD on this matrix and choosing the vector corresponding to the smallest singular value will define an implicit equation that is a candidate for approximation: Although this simple example has no extraneous branches, in order to illustrate the possibility of modelling the shape of the approximation, we include a combined approximation.…”
Section: A First Examplementioning
confidence: 94%
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“…The accuracy of the construction of this matrix can be confirmed by checking that the elements sum to 1 2 (see Theorem 2 in [5]). Again, performing an SVD on this matrix and choosing the vector corresponding to the smallest singular value will define an implicit equation that is a candidate for approximation: Although this simple example has no extraneous branches, in order to illustrate the possibility of modelling the shape of the approximation, we include a combined approximation.…”
Section: A First Examplementioning
confidence: 94%
“…In this section we outline the approach to approximate implicitization presented in [2,3], in the context of Bézier triangles. Both the original approach and the so-called weak approach will be described, closely following the procedure given in [5]. We will also look at a numerical approach to the algorithm in greater detail.…”
Section: Approximate Implicitizationmentioning
confidence: 99%
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“…The idea behind approximate implicitization [8][9][10][11][12] is to approximate a rational parametric surface p(s, t), (s, t) ∈ Ω ⊂ IR 2 , Ω being a closed and bounded set, by an algebraic surface q(x, y, z) = 0 of degree m > 0. This differs from exact implicitization, where an exact algebraic representation of the parametric surface is to be found.…”
Section: Approximate Implicitizationmentioning
confidence: 99%
“…A valid alternative to exact methods is approximate implicitization; cf. [3,4]. Instead of the exact variety, a low degree approximation is used to represent the shape of the geometric object in a certain region of interest.…”
Section: Introductionmentioning
confidence: 99%