Camera Calibration
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.
Use the Camera Calibrator app and functions to estimate single camera intrinsics, extrinsics, and lens distortion parameters.
Use the Stereo Camera Calibrator app and functions to estimate the parameters and relative positions and orientations of both cameras in a stereo camera pair. You can then use the camera to recover depth from images. It also calculates the position and orientation of the second camera relative to the first camera.
Apps
Camera Calibrator | Estimate geometric parameters of a single camera |
Stereo Camera Calibrator | Estimate geometric parameters of a stereo camera |
Functions
Topics
- What Is Camera Calibration?
Estimate the parameters of a lens and image sensor of an image or video camera.
- Fisheye Calibration Basics
Fisheye camera model and calibration in MATLAB.
- Using the Single Camera Calibrator App
Prepare camera calibration images and estimate camera intrinsic parameters.
- Using the Stereo Camera Calibrator App
Calibrate a stereo camera, which you can then use to recover depth from images.
- Calibration Patterns
Camera Calibration using a checkerboard, circle grid, or custom detector pattern.
- Prepare Camera and Capture Images For Camera Calibration
Set up your camera and capture camera calibration images to use with the calibrator app.
- Point Feature Types
Choose functions that return and accept points objects for several types of features.
- Coordinate Systems
Specify pixel Indices, spatial coordinates, and 3-D coordinate systems.