Title:	COMPARING MESHES - A VOLUME BASED APPROACH
Author(s):	Ralph Erdt, Peter Dannenmann
ISBN:	978-989-8533-52-4
Editors:	Katherine Blashki and Yingcai Xiao
Year:	2016
Edition:	Single
Keywords:	CAD Data, Optical Measurement Techniques, Offset Computation
Type:	Full Paper
First Page:	141
Last Page:	148
Language:	English
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Full Contents:	click to dowload
Paper Abstract:	Two new emerging technologies will greatly influence industrial production processes in the future: 3D printers and 3D cameras. These technologies already work together in small scale production processes. We expect that in future industrial mass-production processes they will work together in the same way. An object generated by a 3D printer is based on a CAD model. However, as in every physical process, the 3D printer’s product does not really reproduce the CAD model since there are production errors and production tolerances. Therefore, the product has to be checked whether it meets the desired quality standards. In case of some 3D structure this means that the product’s surface resembles the CAD model close enough or, to be more precise, that the distance between the product’s surface and the surface of the CAD model is smaller than some defined maximum deviation. 3D cameras provide means to scan an object’s surface easily. They compute a cloud of points that resemble the scanned object’s surface and in a second step they reproduce the scanned object’s surface by triangulating the point cloud. For comparing the CAD and scanned surface, at the moment the normal distance of the single points to the CAD surface is computed. In this paper we will introduce a better possibility for comparing scanned and CAD surface: We will introduce a volume based approach. By calculating the volume between two meshes and normalizing it with respect to the surface area, we introduce a method of computing a measure for the scanned object’s surface quality that is independent of the density of the points of the scanned surface.
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