A new camera calibration method for multi-camera localization

Camera calibration is a necessary step in 3D computer vision in order to extract metric information from 2D images. In the camera calibration applying to multi-camera localization, it´s prerequisite that all cameras, which mounted apart from each other, must observe the whole calibration object simultaneously. However, it´s inconvenient to satisfy using traditional 3D or 2D calibration objects. In the paper, we propose a new calibration object contains five points placed in the shape of `+´. Meanwhile the calibration method based on the new object is also presented. Our calibration object is a midway between 1-D and 2-D calibration objects. Furthermore, in the procedure of calibration, the calibration object can be freely moved.