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Least-squares fitting of algebraic spline surfaces. (English) Zbl 0997.65028
A new technique is described for fitting implicitly defined algebraic spline surfaces to scattered data in three-dimensional space. By approximating points and associated normal vectors estimated from the scattered data, a computationally simple method is obtained which requires the solution of a sparse system of linear equations. The method can be applied to data taken from arbitrary orientable 2-dimensional manifolds in 3-space. The potential applications include the reconstruction of free-form surfaces in reverse engineering. Furthermore, error bounds are established directly from the coefficients of the implicit representation.

MSC:
65D17 Computer-aided design (modeling of curves and surfaces)
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