The calibration of existing multicamera systems with no common fields of view is challenging, as it is extremely cumbersome. To solve this problem, this study proposed a calibration method for multicamera systems based on a rotating calibration plate. First, the axis of rotation was fitted and a calibration coordinate system was established by fitting the trajectory of the rotating target. Second, a single complete calibration image was captured by each camera, and then the pose relationship between the camera and the turntable system was estimated using the PnP algorithm. Third, the angle of the table was converted into a rotation matrix and translation vector of the calibration plate using the Rodrigues rotation formula. Finally, the multicamera system was estimated using these transformation relationships. The experimental results show that the proposed method is not limited by the field of view of the camera, can quickly and automatically calibrate the multicamera system, and also meets the needs of large-scale measurement in terms of measurement accuracy.