User Guidance for Interactive Camera Calibration
This addresses the challenge of user guidance in camera calibration for AR applications, though it is incremental as it builds on an existing framework.
The paper tackles the problem of guiding users to optimal camera-to-pattern poses for camera calibration in AR, showing that with their method, even novice users can achieve precise calibration in about 2 minutes.
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.