This paper aims at developing a suitable analysis of the point cloud, coming from the optic scanning of a real object, allowing to evaluate automatically the errors without using a nominal CAD model or a GPS specification. Really, this possibility is strictly depending on the capability to recognize in a scanned tessellated model some intrinsic nominal references. This paper is particularly devoted to the automatic error evaluation of axial-symmetric surfaces; for this kind of surfaces two type of intrinsic references can be recognized. An original classification of the error categories is proposed and the related methods for the evaluation of these errors are presented. The methodology is applied to some real cases and the related results are critically discussed.

Automatic error evaluation of axial-symmetric surfaces

DI ANGELO, LUCA;DI STEFANO, PAOLO;
2009-01-01

Abstract

This paper aims at developing a suitable analysis of the point cloud, coming from the optic scanning of a real object, allowing to evaluate automatically the errors without using a nominal CAD model or a GPS specification. Really, this possibility is strictly depending on the capability to recognize in a scanned tessellated model some intrinsic nominal references. This paper is particularly devoted to the automatic error evaluation of axial-symmetric surfaces; for this kind of surfaces two type of intrinsic references can be recognized. An original classification of the error categories is proposed and the related methods for the evaluation of these errors are presented. The methodology is applied to some real cases and the related results are critically discussed.
978-84-96351-57-8
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11697/32976
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