Nowadays the generation of CAD data out of existing models is a matter of high interest. Therefore 3D scanning systems are used to represent the models as a large set of digitised, unstructured point data. Surface reconstruction processes can then be used for automated generation of the desired 3D surface models. This paper describes the structuring of point data as a pre-processing before the actual surface reconstruction takes place. First, the focus is set to an algorithm to reduce the data of large point sets. Subsequent a method for curvature approximation, based on the Delaunay triangulation of a set of points, is described. By means of curvature discontinuities the points are grouped to represent separate surfaces of the model. With variational design processes the groups of points can be used to generate the final surfaces.
Structuring of point data for surface reconstruction with variational design
Strukturierung von Punktdaten für die Oberflächenrekonstruktion mit Hilfe von Variationsentwurfsverfahren
1997
8 Seiten, 6 Bilder, 9 Quellen
Conference paper
English
Structuring of point data for surface reconstruction with variational design
Automotive engineering | 1997
|Structuring of Point Data For Surface Reconstruction with Variational Design
British Library Conference Proceedings | 1997
|Efficient Multiresolution Counterparts to Variational Methods for Surface Reconstruction
British Library Online Contents | 1998
|Variational Surface Design and Surface Interrogation
British Library Conference Proceedings | 1994
|Variational surface design and surface interrogation
Automotive engineering | 1994
|