DocumentCode :
2059005
Title :
Particle Swarm Optimization for NURBS Curve Fitting
Author :
Adi, Delint Ira Setyo ; Shamsuddin, Siti Mariyam ; Ali, Aida
Author_Institution :
Soft Comput. Res. Group, Univ. Teknol. Malaysia, Johor Bahru, Malaysia
fYear :
2009
fDate :
11-14 Aug. 2009
Firstpage :
259
Lastpage :
263
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.
Keywords :
curve fitting; particle swarm optimisation; NURBS curve fitting; PSO algorithm; particle swarm optimization; Computational modeling; Curve fitting; Genetic algorithms; Particle swarm optimization; Simulated annealing; Spline; Surface fitting; Surface reconstruction; Surface topography; Weight control; Curve Fitting; NURBS; PSO algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Graphics, Imaging and Visualization, 2009. CGIV '09. Sixth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-0-7695-3789-4
Type :
conf
DOI :
10.1109/CGIV.2009.64
Filename :
5298874
Link To Document :
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