Practical methods of optimization; (2nd ed.)
Practical methods of optimization; (2nd ed.)
Intrinsic parametrization for approximation
Computer Aided Geometric Design
Choosing nodes in parametric curve interpolation
Computer-Aided Design
Constrained B-spline curve and surface fitting
Computer-Aided Design
Optimal approximate conversion of spline surfaces
Computer Aided Geometric Design
Knot selection for parametric spline interpolation
Mathematical methods in computer aided geometric design
Spline conversion for trimmed rational Be´zier- and B-spline surfaces
Computer-Aided Design - Special Issue: Be´zier Techniques
A method for determining knots in parametric curve interpolation
Computer Aided Geometric Design
Global reparametrization for curve approximation
Computer Aided Geometric Design
Fitting B-spline curves to point clouds by curvature-based squared distance minimization
ACM Transactions on Graphics (TOG)
Constrained curve fitting on manifolds
Computer-Aided Design
Approximate computation of curves on B-spline surfaces
Computer-Aided Design
Fitting curves and surfaces to point clouds in the presence of obstacles
Computer Aided Geometric Design
Automatic surface modelling of a ship hull
Computer-Aided Design
A revisit to least squares orthogonal distance fitting of parametric curves and surfaces
GMP'08 Proceedings of the 5th international conference on Advances in geometric modeling and processing
Fast B-spline curve fitting by L-BFGS
Computer Aided Geometric Design
G1 continuous approximate curves on NURBS surfaces
Computer-Aided Design
Computer Graphics in China: Convergence analysis for B-spline geometric interpolation
Computers and Graphics
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Smoothing a set of points pi with a B-spline curve is an usual CAGD application, which remains an open problem due to the choice of the parameter values. J. Hoschek proposed one of the first iterative solution called intrinsic parametrization. This idea has been improved several times by introducing different parameter corrections. This paper deals with a new improvement of Hoschek's method providing better results with a higher speed of convergence. Examples are proposed and compared with the different approaches.