  For building a Augmented Reality (AR) pipeline, the most crucial step is the
camera calibration as overall quality heavily depends on it. In turn camera
calibration itself is influenced most by the choice of camera-to-pattern poses
- yet currently there is only little research on guiding the user to a specific
pose. We build upon our novel camera calibration framework that is capable to
generate calibration poses in real-time and present a user study evaluating
different visualization methods to guide the user to a target pose. Using the
presented method even novel users are capable to perform a precise camera
calibration in about 2 minutes.
