| Hauptseite > Publications database > PrIcosa: High-Precision 3D Camera Calibration with Non-Overlapping Field of Views |
| Contribution to a conference proceedings/Contribution to a book | IMPULSE-2025-00070 |
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2025
SCITEPRESS - Science and Technology Publications
Please use a persistent id in citations: doi:10.5220/0013088700003912
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)
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