mailto:uumlib@uum.edu.my 24x7 Service; AnyTime; AnyWhere

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

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 .

[thumbnail of A._s.pdf] PDF
Restricted to Repository staff only

Download (195kB)

Abstract

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.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Print ISBN: 0-7695-2392-7
Subjects: Q Science > QA Mathematics > QA76 Computer software
Divisions: College of Arts and Sciences
Depositing User: Mrs. Norazmilah Yaakub
Date Deposited: 27 Dec 2011 01:32
Last Modified: 27 Dec 2011 01:32
URI: https://repo.uum.edu.my/id/eprint/4332

Actions (login required)

View Item View Item