Calibrate Cameras

Camera calibration is the process of estimating camera parameters by using images that contain a calibration pattern. The parameters include camera intrinsics, distortion coefficients, and camera extrinsics. Use these camera parameters to remove lens distortion effects from an image, measure planar objects, reconstruct 3-D scenes from multiple cameras, and perform other computer vision applications.

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Fisheye camera calibration extends this process by estimating parameters and distortion coefficients specific to fisheye lenses, which is essential for correcting extreme distortion and accurately mapping image points to real-world coordinates in applications such as SLAM, odometry, surveillance, VR, and image stitching. Multi-camera calibration ensures that all cameras in a system share a consistent understanding of scene geometry, enabling tasks like 3-D motion capture, reconstruction, and photogrammetry, while robot hand-eye calibration determines the spatial relationship between a robot arm and a camera for precise visual servoing and interaction. You can use the Camera Calibrator app and functions for single-camera intrinsics, extrinsics, and distortion, the Stereo Camera Calibrator app and functions for stereo parameters and relative orientations, and dedicated fisheye calibration functions for distortion removal and accurate wide-angle 3-D reconstruction.