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Light-sectioning with many lines -
how to settle the information deficit
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F. Willomitzer, S. Ettl, G. Häusler
Institute of Optics, Information and Photonics
Friedrich-Alexander-University Erlangen-Nuremberg
florian.willomitzer@physik.uni-erlangen.de |
The ideal optical 3D sensor displays a few key features: high accuracy, high lateral resolution, a large measurement volume and short acquisition time. Light-sectioning is one of the few principles that allows for high speed – a highly demanded property. However, if no context information is exploited, light sectioning with many lines displays an information deficit, leading to ambiguous correspondence. Last year we presented a novel method that partially settles this deficit by additional cameras. The method enables a significant increase of the number of projected lines, leading to a higher data density. However, the robustness is still depending on the object shape. Now we present a solution with a much better robustness, largely independent of the object.
The idea is based on the following observation: Projected lines and their images that are back projected from the cameras generate periodic (Talbot-like) patterns in space. The overlap of these patterns encodes the correspondences. It turns out that there is a geometry which allows to find correct correspondences, depending only on the noise. We will demonstrate experiments and discuss the potentials and limits.
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Keywords:
Messtechnik, 3D-Messtechnik |
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