Camera Calibration for Robotic Vision with 3D Reconstruction

This program implements camera calibration for robotic vision systems with integrated 3D visual reconstruction capabilities. The solution was personally designed and experimentally validated through extensive testing, confirming its exceptional precision in real-world applications. The calibration algorithm accurately determines both intrinsic camera parameters (focal length, principal point, distortion coefficients) and extrinsic parameters (camera position and orientation relative to the world coordinate system), enabling precise stereo vision reconstruction outcomes. The implementation incorporates automated functionality that streamlines the calibration process through efficient corner detection and parameter optimization routines, ensuring rapid and effective calibration completion. During development, comprehensive experiments and rigorous testing were conducted to validate performance metrics and accuracy thresholds, including chessboard pattern analysis and reprojection error minimization techniques. Therefore, I take pride in sharing this high-precision, reliable camera calibration program for robotic vision applications that demonstrates robust performance in both laboratory and practical environments.