Graphical Calibration Toolbox

This Graphical Calibration Toolbox is exceptionally valuable for computer vision applications, containing original source code implementations of both Tsai's and Zhang Zhengyou's camera calibration algorithms. These implementations provide robust solutions for camera parameter estimation, including intrinsic parameters (focal length, principal point) and extrinsic parameters (rotation, translation). The toolbox supports distortion correction using radial and tangential distortion models, enabling accurate image rectification and geometric correction. For developers and researchers, the toolbox offers MATLAB-based implementations featuring key functions like corner detection from checkerboard patterns, nonlinear optimization for parameter refinement, and reprojection error analysis. The algorithms handle both single-camera and stereo-camera calibration scenarios, with comprehensive support for planar calibration targets. This collection represents a carefully preserved resource that has been widely adopted in both academic research and industrial projects. Whether you're working on 3D reconstruction, robotic vision, or photogrammetry applications, this toolbox provides essential calibration capabilities with practical code examples demonstrating calibration workflow implementation from image acquisition to parameter validation.