Camera Calibration Model Comparison for Marker Position Estimation

In this study, we investigate the impact of different camera calibration models on the accuracy of fiducial marker position estimations. With a perfect calibration, the positions of detected marker corners in the image should precisely match the projections of their physical coordinates onto the image plane. The extent and nature of any divergence serve as crucial indicators of position estimation accuracy. Our findings reveal a symmetrical divergence, corresponding to low position estimation accuracy in the direction perpendicular to the image plane and in the plane an accuracy decrease with the distance from the center. This knowledge is important to be able to account for these errors in practical applications. Future research will aim to develop strategies to correct these errors effectively.