On Camera Calibration and Distortion Correction Based on Bundle Adjustment

Abstract

The accurate calibration and distortion correction of cameras are important subjects in visual measurement. The parameters of the camera need to be calculated both conveniently and accurately and the distorted images are corrected by using the obtained parameters. This article first analyses the imaging model and calibration theory of the camera. Then it is proposed to introduce the bundle adjustment method into the camera calibration. The internal and external parameters of the camera and the positions of the target corners are jointly optimized in the process of parameter optimization. Furthermore, the distortions of the original images are corrected with the final optimized parameters. Traditional calibration methods focus on physical methods and rely on high-precision calibration objects to improve parameter accuracy. The novelty of this paper is that the bundle adjustment method is used to eliminate the impact of standard point errors from the perspective of the algorithm. This method removes the reliance on high-precision calibration objects, reduces the cost and improves the calibration accuracy.