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Proceedings Paper

High-accuracy matching of object edges
Author(s): Armin Gruen; Dirk Stallmann
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Paper Abstract

In industrial measurement applications a great variety of tasks require the measurement of non-targeted ('natural') objects. Edges are important features of industrial objects. Visualization and texturing of objects is often achieved by structured light. This paper investigates an alternative approach based on diffuse illumination. It describes an extension of the Multi-Photo Geometrically Constrained (MPGC) matching algorithm which allows the dimensional positioning of these features. The algorithm is applied to edge tracking. The major algorithmic aspects will be addressed. Practical data from a demonstration object will be used in order to show potential and problems of this approach.

Paper Details

Date Published: 24 February 1993
PDF: 13 pages
Proc. SPIE 1820, Videometrics, (24 February 1993); doi: 10.1117/12.141370
Show Author Affiliations
Armin Gruen, ETH-Hoenggerberg (Switzerland)
Dirk Stallmann, ETH-Hoenggerberg (Switzerland)


Published in SPIE Proceedings Vol. 1820:
Videometrics
Sabry F. El-Hakim, Editor(s)

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