30 April 2015 Online fully automated three-dimensional surface reconstruction of unknown objects
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, Souhaiel Khalfaoui, Antoine Aigueperse, Antoine Aigueperse, Yohan Fougerolle, Yohan Fougerolle, Ralph Seulin, Ralph Seulin, David Fofi, 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); doi: 10.1117/12.2182863; https://doi.org/10.1117/12.2182863
PROCEEDINGS
11 PAGES


SHARE
RELATED CONTENT

High-performance 3D-imaging laser sensor
Proceedings of SPIE (May 27 1999)
C2SM a mobile system for detecting and 3D mapping...
Proceedings of SPIE (May 04 2009)
Reverse engineering using optical 3D sensors
Proceedings of SPIE (March 05 1998)
Fully automatic 3D digitization of unknown objects
Proceedings of SPIE (January 28 2010)

Back to Top