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Proceedings Paper

Online fully automated three-dimensional surface reconstruction of unknown objects
Author(s): Souhaiel Khalfaoui; Antoine Aigueperse; Yohan Fougerolle; Ralph Seulin; David Fofi
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Paper Abstract

This paper presents a novel scheme for automatic and intelligent 3D digitization using robotic cells. The advantage of our procedure is that it is generic since it is not performed for a specific scanning technology. Moreover, it is not dependent on the methods used to perform the tasks associated with each elementary process. The comparison of results between manual and automatic scanning of complex objects shows that our digitization strategy is very efficient and faster than trained experts. The 3D models of the different objects are obtained with a strongly reduced number of acquisitions while moving efficiently the ranging device.

Paper Details

Date Published: 30 April 2015
PDF: 11 pages
Proc. SPIE 9534, Twelfth International Conference on Quality Control by Artificial Vision 2015, 95340Z (30 April 2015); doi: 10.1117/12.2182863
Show Author Affiliations
Souhaiel Khalfaoui, VECTEO SAS, IUT Le Creusot (France)
Antoine Aigueperse, VECTEO SAS, IUT Le Creusot (France)
Yohan Fougerolle, Le2i, CNRS, Univ. de Bourgogne (France)
Ralph Seulin, Le2i, CNRS, Univ. de Bourgogne (France)
David Fofi, Le2i, CNRS, Univ. de Bourgogne (France)


Published in SPIE Proceedings Vol. 9534:
Twelfth International Conference on Quality Control by Artificial Vision 2015
Fabrice Meriaudeau; Olivier Aubreton, Editor(s)

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