Zhang Zhengyou Camera Calibration Algorithm Source Code with Implementation Details

This article presents the source code implementation of the classical Zhang Zhengyou camera calibration algorithm, accompanied by experimental images and calibration data for reference. This algorithm is crucial and widely adopted in computer vision for accurately calculating camera intrinsic parameters (focal length, principal point, distortion coefficients) and extrinsic parameters (rotation and translation matrices). The implementation typically involves key steps: corner detection using chessboard patterns, initial parameter estimation via homography computation, and non-linear optimization using Levenberg-Marquardt algorithm to minimize reprojection error. The code structure includes functions for image preprocessing, point correspondence establishment, and parameter refinement. By utilizing this algorithm, you can achieve high-precision calibration results, thereby enhancing the performance and accuracy of computer vision and image processing applications such as 3D reconstruction, augmented reality, and photogrammetry. We hope this resource proves valuable for your camera calibration projects!