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Particle swarm optimization for NURBS curve fitting

Setyo Adi, Delint Ira and Shamsuddin, Siti Mariyam and Ali, Aida (2009) Particle swarm optimization for NURBS curve fitting. In: Proceedings of the 2009 6th International Conference on Computer Graphics, Imaging and Visualization: New Advances and Trends, CGIV2009. Institute of Electrical and Electronics Engineers, New York, 259 -263. ISBN 978-076953789-4

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Official URL: http://dx.doi.org/10.1109/CGIV.2009.64

Abstract

This paper discusses an alternative solution for curve fitting based on particle swarm optimization (PSO). The implementation of this method is conducted by generating randomly weight and control points of the NURBS curve. The weight and generated control points are used to calculate the NURBS point. The results are compared with the example data points to find the minimum error. The implementation results have shown that the proposed method yield better solution compared to the conventional methods with minimum error generated.

Item Type:Book Section
Additional Information:2009 6th International Conference on Computer Graphics, Imaging and Visualization: New Advances and Trends, CGIV2009; Tianjin; 11 August 2009 through 14 August 2009
Uncontrolled Keywords:curve fitting, NURBS, PSO algorithm
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:Computer Science and Information System
ID Code:13039
Deposited By: Liza Porijo
Deposited On:14 Jul 2011 01:16
Last Modified:14 Jul 2011 01:16

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