MATLAB-Based Camera Calibration Toolbox

This article introduces a camera calibration toolbox developed using MATLAB programming language. The toolbox offers substantial content and high practicality, providing users with comprehensive capabilities for camera calibration tasks. It incorporates various functions and tools that simplify the camera calibration process through MATLAB's matrix operations and image processing capabilities. Key implementation features include: - Intrinsic and extrinsic parameter estimation algorithms using checkerboard pattern detection - Lens distortion correction through radial and tangential distortion modeling - Automated image processing pipelines for feature point extraction - Optimization routines for minimizing reprojection errors The toolbox leverages MATLAB's computational strengths, including its advanced mathematical libraries and visualization tools, to handle complex calibration procedures efficiently. Users can benefit from streamlined workflows that enhance productivity while achieving superior calibration accuracy through systematic parameter optimization. In summary, this MATLAB-based camera calibration toolbox represents a feature-rich and practical solution that combines algorithmic robustness with user-friendly implementation for computer vision applications.