Camera Calibration Toolbox for Generic Lenses

This is a versatile camera calibration toolbox designed for generic lenses, capable of calibrating conventional, wide-angle, and fisheye lens cameras. The calibration process utilizes planar calibration targets where intrinsic and extrinsic camera parameters are estimated through control point correspondences between calibration patterns and captured images. The toolbox represents research outcomes from Helsinki University of Technology's Computational Engineering Laboratory and University of Oulu's Machine Vision Group. The toolbox enables users to perform accurate camera calibration for various lens types, yielding improved imaging precision with reduced distortion. Its implementation employs robust optimization algorithms for parameter estimation, typically involving nonlinear least-squares minimization to solve camera projection models. Applications span engineering, scientific research, and computer vision domains where it enhances image acquisition quality by correcting lens-induced distortions through mathematical models like polynomial distortion correction or fisheye projection models. Jointly developed through multi-year research and practical validation, this toolbox incorporates state-of-the-art calibration algorithms including chessboard corner detection, radial-tangential distortion modeling, and camera pose estimation techniques. The core functionality likely includes automated pattern detection (using functions like detectCheckerboardPoints), parameter optimization loops, and distortion correction mapping generation. Professional photographers and researchers benefit from its reliable implementation of camera calibration pipelines, improving workflow efficiency and output quality through standardized calibration procedures.