Trimming tensor product surfaces generated from point cloud data using B-spline interpolated concave hulls

Accurate modelling of geometries based on three-dimensional scanner data is crucial for various fields of engineering research and application. It allows for improved monitoring of manufactured components during the production process for the purpose of quality control. For numerous applications, it is beneficial to use B-splines or NURBS to reproduce complex shapes with a higher accuracy or to link geometric and topological properties. However, generating a trimming curve that corresponds to an approximated tensor product surface poses non-trivial challenges. In this paper, we present a point-based method for performing B-spline surface trimming in order to obtain an accurate representation of the underlying geometry with a focus on dense points clouds. The method focuses on automating the process of generating analysable geometries that can be used in simulations or visualisations by reducing the dependency on parameters and thus the user interaction. The method is applied to measured objects, in particular manufactured plates, and the corresponding results are presented.