G1 scattered data interpolation with minimized sum of squares of principal curvatures

One of the main focus of scattered data interpolation is fitting a smooth surface to a set of non-uniformly distributed data points which extends to all positions in a prescribed domain. In this paper, given a set of scattered data V = {(xi, yi), i=1,...,n} ∈ R2 over a polygonal domain and a corresp...

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Main Authors: Saaban, Azizan, Piah, A.R.M., Majid, A.A., Chang, L.H.T.
Format: Conference or Workshop Item
Language:English
Published: 2005
Subjects:
Online Access:https://repo.uum.edu.my/id/eprint/4332/1/A._s.pdf
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author Saaban, Azizan
Piah, A.R.M.
Majid, A.A.
Chang, L.H.T.
author_facet Saaban, Azizan
Piah, A.R.M.
Majid, A.A.
Chang, L.H.T.
author_sort Saaban, Azizan
collection UUM
description One of the main focus of scattered data interpolation is fitting a smooth surface to a set of non-uniformly distributed data points which extends to all positions in a prescribed domain. In this paper, given a set of scattered data V = {(xi, yi), i=1,...,n} ∈ R2 over a polygonal domain and a corresponding set of real numbers {zi}i=1n, we wish to construct a surface S which has continuous varying tangent plane everywhere (G1) such that S(xi, yi) = zi. Specifically, the polynomial being considered belong to G1 quartic Bezier functions over a triangulated domain. In order to construct the surface, we need to construct the triangular mesh spanning over the unorganized set of points, V which will then have to be covered with Bezier patches with coefficients satisfying the G1 continuity between patches and the minimized sum of squares of principal curvatures. Examples are also presented to show the effectiveness of our proposed method.
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spelling uum-43322011-12-27T01:32:07Z https://repo.uum.edu.my/id/eprint/4332/ G1 scattered data interpolation with minimized sum of squares of principal curvatures Saaban, Azizan Piah, A.R.M. Majid, A.A. Chang, L.H.T. QA76 Computer software One of the main focus of scattered data interpolation is fitting a smooth surface to a set of non-uniformly distributed data points which extends to all positions in a prescribed domain. In this paper, given a set of scattered data V = {(xi, yi), i=1,...,n} ∈ R2 over a polygonal domain and a corresponding set of real numbers {zi}i=1n, we wish to construct a surface S which has continuous varying tangent plane everywhere (G1) such that S(xi, yi) = zi. Specifically, the polynomial being considered belong to G1 quartic Bezier functions over a triangulated domain. In order to construct the surface, we need to construct the triangular mesh spanning over the unorganized set of points, V which will then have to be covered with Bezier patches with coefficients satisfying the G1 continuity between patches and the minimized sum of squares of principal curvatures. Examples are also presented to show the effectiveness of our proposed method. 2005-07-26 Conference or Workshop Item PeerReviewed application/pdf en https://repo.uum.edu.my/id/eprint/4332/1/A._s.pdf Saaban, Azizan and Piah, A.R.M. and Majid, A.A. and Chang, L.H.T. (2005) G1 scattered data interpolation with minimized sum of squares of principal curvatures. In: International Conference on Computer Graphics, Imaging and Vision: New Trends, 26-29 July 2005 . http://dx.doi.org/10.1109/CGIV.2005.39 doi:10.1109/CGIV.2005.39 doi:10.1109/CGIV.2005.39
spellingShingle QA76 Computer software
Saaban, Azizan
Piah, A.R.M.
Majid, A.A.
Chang, L.H.T.
G1 scattered data interpolation with minimized sum of squares of principal curvatures
title G1 scattered data interpolation with minimized sum of squares of principal curvatures
title_full G1 scattered data interpolation with minimized sum of squares of principal curvatures
title_fullStr G1 scattered data interpolation with minimized sum of squares of principal curvatures
title_full_unstemmed G1 scattered data interpolation with minimized sum of squares of principal curvatures
title_short G1 scattered data interpolation with minimized sum of squares of principal curvatures
title_sort g1 scattered data interpolation with minimized sum of squares of principal curvatures
topic QA76 Computer software
url https://repo.uum.edu.my/id/eprint/4332/1/A._s.pdf
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