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Proceedings Paper

Illumination control in view of dynamic (re)planning of 3D reconstruction tasks
Author(s): Abdelkrim Belhaoua; Sophie Kohler; Ernest Hirsch
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Paper Abstract

Accuracy of 3D vision-based reconstruction tasks depends both on the complexity of analyzed objects and on good viewing / illumination conditions, ensuring image quality and minimizing consequently measurement errors after processing of acquired images. In this contribution, as a complement to an autonomous cognitive vision system automating 3D reconstruction and using Situation Graph Trees (SGTs) as a planning / control tool, these graphs are optimized in two steps. The first (off-line) step addresses the placement of lighting sources, with the aim to find positions minimizing processing errors during the subsequent reconstruction steps. In the second step, on-line application of the SGT-based control module focuses on adjustment of illumination conditions (e. g., intensity), leading eventually to process re-planning, and enabling further to extract optimally the contour data required for 3D reconstruction. The whole illumination optimization procedure has been fully automated and included in the dynamic (re-)planning tool for visionbased reconstruction tasks, e. g. in view of quality control applications.

Paper Details

Date Published: 12 July 2011
PDF: 10 pages
Proc. SPIE 8000, Tenth International Conference on Quality Control by Artificial Vision, 800002 (12 July 2011); doi: 10.1117/12.889322
Show Author Affiliations
Abdelkrim Belhaoua, Lab. des Sciences de l'Image, de l'Informatique et de la Télédétection, CNRS, Univ. de Strasbourg (France)
Sophie Kohler, Univ. de Haute Alsace (France)
Ernest Hirsch, Lab. des Sciences de l'Image, de l'Informatique et de la Télédétection, CNRS, Univ. de Strasbourg (France)


Published in SPIE Proceedings Vol. 8000:
Tenth International Conference on Quality Control by Artificial Vision
Jean-Charles Pinoli; Johan Debayle; Yann Gavet; Frédéric Gruy; Claude Lambert, Editor(s)

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