Paper
30 April 2015 Online fully automated three-dimensional surface reconstruction of unknown objects
Souhaiel Khalfaoui, Antoine Aigueperse, Yohan Fougerolle, Ralph Seulin, David Fofi
Author Affiliations +
Proceedings Volume 9534, Twelfth International Conference on Quality Control by Artificial Vision 2015; 95340Z (2015) https://doi.org/10.1117/12.2182863
Event: The International Conference on Quality Control by Artificial Vision 2015, 2015, Le Creusot, France
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.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Souhaiel Khalfaoui, Antoine Aigueperse, Yohan Fougerolle, Ralph Seulin, and David Fofi "Online fully automated three-dimensional surface reconstruction of unknown objects", Proc. SPIE 9534, Twelfth International Conference on Quality Control by Artificial Vision 2015, 95340Z (30 April 2015); https://doi.org/10.1117/12.2182863
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Cited by 1 scholarly publication.
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KEYWORDS
3D modeling

3D acquisition

Data acquisition

3D metrology

Scanners

Data modeling

Robotics

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