Least-Squares Fitting of Two 3-D Point Sets
IEEE Transactions on Pattern Analysis and Machine Intelligence
Spline approximation of offset curves
Computer Aided Geometric Design
Constrained B-spline curve and surface fitting
Computer-Aided Design
Parameter optimization in approximating curves and surfaces to measurement data
Computer Aided Geometric Design
The NURBS book (2nd ed.)
Advanced surface fitting techniques
Computer Aided Geometric Design
Constrained fitting in reverse engineering
Computer Aided Geometric Design
Approximation with Active B-Spline Curves and Surfaces
PG '02 Proceedings of the 10th Pacific Conference on Computer Graphics and Applications
Blind dependent sources separation method using wavelet
International Journal of Computer Applications in Technology
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Two algorithms for the surface fitting of random points are developed. The first algorithm is employed to pass through four given boundary curves, while the second algorithm is employed to achieve an extended bound. The fitted surface is essentially a B-spline surface where the control points and the parametric values of each measured point are unknown. Two kinds of base surfaces are proposed for the initialisation of the parametric values. An objective function, including an error function and an energy function, is then developed for the optimisation of unknown parameters. The feasibility of the proposed method is demonstrated.