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Proceedings Paper

Fully automatic 3D digitization of unknown objects
Author(s): Gabriel F. Rozenwald; Ralph Seulin; Yohan D. Fougerolle
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Paper Abstract

This paper presents a complete system for 3D digitization of objects assuming no prior knowledge on its shape. The proposed methodology is applied to a digitization cell composed of a fringe projection scanner head, a robotic arm with 6 degrees of freedom (DoF), and a turntable. A two-step approach is used to automatically guide the scanning process. The first step uses the concept of Mass Vector Chains (MVC) to perform an initial scanning. The second step directs the scanner to remaining holes of the model. Post-processing of the data is also addressed. Tests with real objects were performed and results of digitization length in time and number of views are provided along with estimated surface coverage.

Paper Details

Date Published: 28 January 2010
PDF: 9 pages
Proc. SPIE 7538, Image Processing: Machine Vision Applications III, 753807 (28 January 2010); doi: 10.1117/12.838887
Show Author Affiliations
Gabriel F. Rozenwald, LE2I, CNRS, Univ. de Bourgogne (France)
Ralph Seulin, LE2I, CNRS, Univ. de Bourgogne (France)
Yohan D. Fougerolle, LE2I, CNRS, Univ. de Bourgogne (France)


Published in SPIE Proceedings Vol. 7538:
Image Processing: Machine Vision Applications III
David Fofi; Kurt S. Niel, Editor(s)

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