Automatic reconstruction of B-spline surfaces of arbitrary topological type
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
MAPS: multiresolution adaptive parameterization of surfaces
Proceedings of the 25th annual conference on Computer graphics and interactive techniques
Automatic extraction of surface structures in digital shape reconstruction
Computer-Aided Design
Surface mesh segmentation and smooth surface extraction through region growing
Computer Aided Geometric Design
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Modern industry requires the increase of quality of manufactured products with the simultaneous minimization of production time and cost. Therefore the development of faster, more precise measurement techniques is needed. There are many full field optical systems in use that offer multi directional measurement that meet these requirements. The raw output measurement data from these systems is in the form of unsorted clouds of points which may include millions of measurement points. This data has a different structure than data acquired by traditional contact methods. In addition phenomena connected with optical measurement such as reflection and occlusion result in various errors in the obtained cloud. Therefore a new method of analysis has to be developed to process the data and prepare it for metrological verification. This article presents an algorithm to manage measured data from full field optical systems. This includes segmentation of clouds of points so that each point is associated with its corresponding surface of the CAD model and then exported to certified metrological software for analysis.