Camera Calibration Toolbox

The Camera Calibration Toolbox for MATLAB provides a complete solution for camera calibration with multiple essential functions. The toolbox performs automatic corner detection using advanced algorithms like Harris corner detection or sub-pixel refinement techniques. Its intrinsic parameter estimation module calculates camera focal length, principal point, and distortion coefficients through Zhang's calibration method or traditional checkerboard pattern analysis. The system includes comprehensive error analysis tools that compute re-projection errors and parameter uncertainties using statistical methods. For extrinsic parameters, the toolbox estimates camera position and orientation relative to world coordinates through perspective-n-point (PnP) algorithms. The image correction module implements lens distortion correction using radial and tangential distortion models with interpolation techniques for optimal image quality. This toolbox comes bundled with 20 calibrated sample images featuring checkerboard patterns for immediate experimental validation. Users can easily perform camera calibration through MATLAB's intuitive interface or script-based automation, making image processing more accurate and reliable. The toolbox is designed with user-friendly functions like `detectCheckerboardPoints()` for corner detection and `estimateCameraParameters()` for full calibration workflows, requiring minimal programming experience while providing robust functionality for research and development applications.