Two Camera Calibration Programs Implemented in MATLAB Language

Two MATLAB-based camera calibration programs are provided for selection. The first program implements Tsai's calibration algorithm, which is a widely-used camera calibration method that calculates both intrinsic parameters (focal length, principal point, skew) and extrinsic parameters (rotation and translation matrices). The MATLAB implementation typically involves feature point extraction, distortion correction, and parameter optimization using linear least-squares solutions. The second program implements Zhang's calibration algorithm, known for its high-precision calibration capabilities. This method utilizes multiple views of a planar calibration pattern and employs a closed-form solution followed by nonlinear refinement using maximum likelihood estimation. The MATLAB code usually includes checkerboard detection, homography estimation, and advanced optimization techniques for more accurate parameter calculation. Both calibration programs provide comprehensive tools for accurate camera parameter estimation, enabling users to achieve better results in computer vision applications such as 3D reconstruction, stereo vision, and image processing tasks. The implementations include error analysis functions and visualization tools to validate calibration accuracy.