<div class="csl-bib-body">
<div class="csl-entry">Fischer, R., Hödlmoser, M., & Gelautz, M. (2023). Flexible Extrinsic Structured Light Calibration Using Circles. In <i>Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications</i> (pp. 47–55). https://doi.org/10.5220/0011614500003417</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/175979
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dc.description.abstract
We introduce a novel structured light extrinsic calibration framework that emphasizes calibration flexibility while maintaining satisfactory accuracy. The proposed method facilitates extrinsic calibration by projecting circles into non-planar and dynamically changing scenes over multiple distances without relying on the structured light’s intrinsics. Our approach relies on extracting depth information using stereo-cameras. The implementation reconstructs light-rays by detecting the center of circles and reconstructing their 3D-positions using triangulation. We evaluate our method by using synthetically rendered images under relevant lighting- and scene conditions, including detection drop-out, circle-center detection error, impact of distances and impact of different scenes. Our implementation achieves a rotational accuracy of below 1 degree and a translational accuracy of approximately 1 cm. Based on our experimental results we expect our approach to be applicable for use cases in w hich more flexible extrinsic structured light calibration techniques are required, such as automotive headlight calibration.
en
dc.description.sponsorship
FFG - Österr. Forschungsförderungs- gesellschaft mbH