Deformable curve and surface finite-elements for free-form shape design
Proceedings of the 18th annual conference on Computer graphics and interactive techniques
SIGGRAPH '92 Proceedings of the 19th annual conference on Computer graphics and interactive techniques
Functional optimization for fair surface design
SIGGRAPH '92 Proceedings of the 19th annual conference on Computer graphics and interactive techniques
Fundamentals of computer aided geometric design
Fundamentals of computer aided geometric design
Minimal energy surfaces using parametric splines
Computer Aided Geometric Design
Hierarchical B-spline refinement
SIGGRAPH '88 Proceedings of the 15th annual conference on Computer graphics and interactive techniques
Fitting B-spline curves to point clouds by curvature-based squared distance minimization
ACM Transactions on Graphics (TOG)
Monotonicity-preserving interproximation of B-H-curves
Journal of Computational and Applied Mathematics
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Interpolation of scattered data has many applications in different areas. Recently, this problem has gained a lot of interest for CAD applications, in combination with the process of reverse engineering, i.e., the construction of CAD models for existing objects. Until now, no method for scattered data interpolation with a bivariate function has produced surface formats that can be directly integrated into a CAD system. Additionally many of the existing interpolation schemes exhibit undesirable curvature distribution of the reconstructed surface. In this paper we present a method for scattered data interpolation producing tensor-product B-splines with high quality curvature distribution. This method first determines the knot vectors in a way that guarantees the existence of an interpolating B-spline. In a second step the degrees of freedom not specified by the interpolation constraints are automatically set using a data dependent optimization technique. Examples demonstrate the quality of the resulting interpolants w.r.t. curvature distribution and approximation of known surfaces.