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Proceedings Paper

Fully automatic 3D digitization of unknown objects using progressive data bounding box
Author(s): Souhaiel Khalfaoui; Antoine Aigueperse; Ralph Seulin; Yohan Fougerolle; David Fofi
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Paper Abstract

The goal of this work is to develop a complete and automatic scanning system with minimum prior information. We aim to establish a methodology for the automation of the 3D digitization process. The paper presents a method based on the evolution of the Bounding Box of the object during the acquisition. The registration of the data is improved through the modeling of the positioning system. The obtained models are analyzed and inspected in order to evaluate the robustness of our method. Tests with real objects have been performed and results of digitization are provided.

Paper Details

Date Published: 30 January 2012
PDF: 8 pages
Proc. SPIE 8290, Three-Dimensional Image Processing (3DIP) and Applications II, 829011 (30 January 2012); doi: 10.1117/12.909164
Show Author Affiliations
Souhaiel Khalfaoui, Lab. Le2i, CNRS, Univ. de Bourgogne (France)
Antoine Aigueperse, Lab. Le2i, CNRS, Univ. de Bourgogne (France)
Ralph Seulin, Lab. Le2i, CNRS, Univ. de Bourgogne (France)
Yohan Fougerolle, Lab. Le2i, CNRS, Univ. de Bourgogne (France)
David Fofi, Lab. Le2i, CNRS, Univ. de Bourgogne (France)


Published in SPIE Proceedings Vol. 8290:
Three-Dimensional Image Processing (3DIP) and Applications II
Atilla M. Baskurt; Robert Sitnik, Editor(s)

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