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It is well known that the accuracy of a calibration depends strongly on thechoice of camera poses from which images of a calibration object are acquired.We present a system -- Calibration Wizard -- that interactively guides a usertowards taking optimal calibration images. For each new image to be taken, thesystem computes, from all previously acquired images, the pose that leads tothe globally maximum reduction of expected uncertainty on intrinsic parametersand then guides the user towards that pose. We also show how to incorporateuncertainty in corner point position in a novel principled manner, for both,calibration and computation of the next best pose. Synthetic and real-worldexperiments are performed to demonstrate the effectiveness of CalibrationWizard.

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