Abstract
Camera calibration is the most important step for stereovision measuring system, which affects the accuracy and stability of the measuring system directly. In order to compute the intrinsic and extrinsic parameters of camera, at least seven feature points should be extracted from the calibration board, and the world coordinates of these points should be consistent with their camera coordinates. In this paper, a special planar board utilizing the circular blobs of different sizes is used, and the correspondence between world and image coordinates of these feature points could be built automatically. Based on an existing algorithm that is used for single camera calibration, the intrinsic and lens radial distortion parameters can be computed with several image pairs of the planar board that are captured by two cameras in different orientations as well as the initial orientation and location of cameras. In order to improve the accuracy of object reconstruction, the bundle adjustment algorithm is further used to optimize the orientation and location of camera. Experiment results demonstrate the efficiency of proposed method.
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