Camera calibration is an important task in computer vision and image processing, as it allows to determine the intrinsic and extrinsic parameters of a camera from a set of observed images. The intrinsic parameters include the focal length, principal point, and distortion coefficients. The extrinsic parameters include the position and orientation of the camera in the world coordinate system. One widely used method for camera calibration is Zhang’s method, which uses a checkerboard pattern to determine the intrinsic and extrinsic parameters of the camera. The goal of this report is to implement and evaluate the performance of Zhang’s method for camera calibration using a set of observed images and compare the results with and without radial distortion correction.