A PIA optimization algorithm for non-uniform B-spline curves and surfaces

This paper aims to address an important issue in B-spline interpolation. In order to reduce shape distortion due to parameterization in the iterative interpolation of B-spline curves and surfaces, we consider both the initial iteration direction of the control vertices and the parameter values corre...

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Bibliographic Details
Published in:International journal of modelling & simulation 2017-07, Vol.37 (3), p.167-177
Main Authors: Hu, Liangchen, Shou, Huahao, Fang, Shiaofen
Format: Article
Language:English
Subjects:
Apexes
B spline functions
B-spline interpolation
Distortion
genetic algorithm
Genetic algorithms
Interpolation
Optimization
Parameterization
Parameters
parameters or knots optimization
progressive-iterative approximation
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Summary:This paper aims to address an important issue in B-spline interpolation. In order to reduce shape distortion due to parameterization in the iterative interpolation of B-spline curves and surfaces, we consider both the initial iteration direction of the control vertices and the parameter values corresponding to the nearest points on the initial iterative curves or surfaces. Genetic algorithm with a carefully designed objective function is employed in finding the optimal parameter solutions for high order B-spline curves and surfaces. Experiments show that the shape distortion due to parameterization has been significantly reduced.
ISSN:0228-6203
1925-7082
DOI:10.1080/02286203.2017.1309260