Calibration Wizard: A Guidance System for Camera Calibration Based on Modelling Geometric and Corner Uncertainty

Abstract : It is well known that the accuracy of a calibration depends strongly on the choice of camera poses from which images of a calibration object are acquired. We present as ystem – Calibration Wizard – that interactively guides a user towards taking optimal calibration images. For each new image to be taken, the system computes, from all previously acquired images, the pose that leads to the globally maximum reduction of expected uncertainty on intrinsic parameters and then guides the user towards that pose. We also show how to incorporate uncertainty in corner point position in a novel principled manner, for both, calibration and computation of the next best pose. Synthetic and real-world experiments are performed to demonstrate the effectiveness of Calibration Wizard.
Keywords : Camera calibration
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Conference papers
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https://hal.inria.fr/hal-02368999
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Submitted on : Monday, November 18, 2019 - 5:13:54 PM
Last modification on : Thursday, November 28, 2019 - 12:21:13 PM

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  • HAL Id : hal-02368999, version 1
  • ARXIV : 1811.03264

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Songyou Peng, Peter Sturm. Calibration Wizard: A Guidance System for Camera Calibration Based on Modelling Geometric and Corner Uncertainty. ICCV 2019 - International Conference on Computer Vision, Oct 2019, Seoul, South Korea. pp.1497-1505. ⟨hal-02368999⟩

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