Abstract
In machine vision for object location or qualitative analysis, it needs to carry on the work of camera calibration. The camera calibration is defined according to the camera imaging geometric model, using actual 3D spatial reference point and 2D pixel point correspondence relationship, calculating the relevant parameters of camera system. In machine vision applications, the camera calibration is a very important link, the accuracy of the calibration results and the stability of the algorithm influence the accuracy of the visual system directly. Therefore, the camera calibration is the premise of the follow-up working well, and improving the calibration precision is the key of the machine vision scientific research work. Recent years sub-pixel positioning technologies will be used in camera calibration by more and more domestic and foreign scholars to improve calibration accuracy.
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