Illumination control in view of dynamic (re)planning of 3D reconstruction tasks

Abdelkrim Belhaoua; Sophie Kohler; Ernest Hirsch

doi:10.1117/12.889322

12 July 2011 Illumination control in view of dynamic (re)planning of 3D reconstruction tasks

Abdelkrim Belhaoua, Sophie Kohler, Ernest Hirsch

Proceedings Volume 8000, Tenth International Conference on Quality Control by Artificial Vision; 800002 (2011) https://doi.org/10.1117/12.889322
Event: 10th International Conference on Quality Control by Artificial Vision, 2011, Saint-Etienne, France

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.

Citation Download Citation

Abdelkrim Belhaoua, Sophie Kohler, and Ernest Hirsch "Illumination control in view of dynamic (re)planning of 3D reconstruction tasks", Proc. SPIE 8000, Tenth International Conference on Quality Control by Artificial Vision, 800002 (12 July 2011); https://doi.org/10.1117/12.889322

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