2D Camera Calibration Guide
Function Introduction
2D camera calibration is used to establish the mapping relationship between camera imaging and real-world space, thereby improving the accuracy of image measurement and positioning. It is the basis for achieving high-precision recognition and positioning in a vision system.
2D camera calibration includes the following two parts:
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Distortion calibration: Used to correct distortion introduced by the camera lens (lens distortion or perspective distortion), eliminate geometric distortion in images, and restore the true geometric shape.
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Hand-eye calibration: Also called extrinsic calibration. It is used to establish the correspondence between the camera coordinate system and the robot coordinate system, that is, to determine the transformation between pixel coordinates on the camera imaging plane and poses in the robot coordinate system, so that the robot can perform accurate picking based on 2D images.
By completing distortion calibration and hand-eye calibration, you can effectively improve the accuracy and stability of the vision system in positioning, measurement, and guidance applications.
Reading Guide
To perform distortion calibration, read the following section to learn the workflow.
To perform hand-eye calibration, read the following section to learn the workflow.