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

Kedilioglu O, Nova T, Landesberger M, Wang  L, Hofmann M, Franke J, Reitelshöfer S (2025)


Publication Type: Conference contribution

Publication year: 2025

Publisher: SciTePress

Pages Range: 801-809

Conference Proceedings Title: Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2 VISAPP: VISAPP,

Event location: Porto PT

DOI: 10.5220/0013088700003912

Abstract

Multi-camera systems are being used more and more frequently, from autonomous mobile robots to intelligent visual servoing cells. Determining the pose of the cameras to each other very accurately is essential for many applications. However, choosing the most suitable calibration object geometry and utilizing it as effectively as possible still remains challenging. Disadvantageous geometries provide only subpar datasets, increasing the need for a larger dataset and decreasing the accuracy of the calibration results. Moreover, an unrefined calibration method can lead to worse accuracies even with a good dataset. Here, we introduce a probabilistic method to increase the accuracy of 3D camera calibration. Furthermore, we analyze the effects of the calibration object geometry on the data properties and the resulting calibration accuracy for the geometries cube and icosahedron. The source code for this project is available at GitHub (Nova, 2024).

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How to cite

APA:

Kedilioglu, O., Nova, T., Landesberger, M., Wang , L., Hofmann, M., Franke, J., & Reitelshöfer, S. (2025). PrIcosa: High-Precision 3D Camera Calibration with Non-Overlapping Field of Views. In Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2 VISAPP: VISAPP, (pp. 801-809). Porto, PT: SciTePress.

MLA:

Kedilioglu, Oguz, et al. "PrIcosa: High-Precision 3D Camera Calibration with Non-Overlapping Field of Views." Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, Porto SciTePress, 2025. 801-809.

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