Contribution to a conference proceedings/Contribution to a book IMPULSE-2025-00070

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PrIcosa: High-Precision 3D Camera Calibration with Non-Overlapping Field of Views

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2025
SCITEPRESS - Science and Technology Publications

Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - SCITEPRESS - Science and Technology Publications, 2025. - ISBN 978-989-758-728-3 - doi:10.5220/0013088700003912
20th International Conference on Computer Vision Theory and Applications, PortoPorto, Portugal, 26 Feb 2025 - 28 Feb 20252025-02-262025-02-28
SCITEPRESS - Science and Technology Publications 2, 801-809 () [10.5220/0013088700003912]

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Abstract: Multi-camera systems are being used more and more frequently, from autonomous mobile robots to intelligentvisual servoing cells. Determining the pose of the cameras to each other very accurately is essential for manyapplications. However, choosing the most suitable calibration object geometry and utilizing it as effectivelyas possible still remains challenging. Disadvantageous geometries provide only subpar datasets, increasingthe need for a larger dataset and decreasing the accuracy of the calibration results. Moreover, an unrefinedcalibration method can lead to worse accuracies even with a good dataset. Here, we introduce a probabilisticmethod to increase the accuracy of 3D camera calibration. Furthermore, we analyze the effects of the calibrationobject geometry on the data properties and the resulting calibration accuracy for the geometries cube andicosahedron. The source code for this project is available at GitHub.

Keyword(s): Instrument and Method Development (1st) ; Instrument and Method Development (2nd)


Contributing Institute(s):
  1. STRESSI (STRESSI)
Experiment(s):
  1. STRESS-SPEC: Materials science diffractometer (SR3)

Appears in the scientific report 2025
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 Record created 2025-03-14, last modified 2025-03-18


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