Structured light calibration method based on local RANSAC

In structured light three-dimensional measurement technology, system calibration is the basis of measurement. A method is introduced that projects a coding grating onto a checkerboard calibration plate and calculates its projected pixel coordinates from the phase values at the corner points. Considering the problems of phase missing and phase anomalies in the corner neighborhood, a fitting algorithm based on local Random Sample Consensus (RANSAC) was proposed to eliminate phase outliers and surface fitting interpolation, thereby calculating Calibrate the sub-pixel level projected pixel coordinates of the feature points. This method does not rely on the calibration results of the camera and is also applicable to the dot calibration plate, effectively filtering the anomalies and noise of the phase values near the feature points. Experimental results show that this method has good robustness to outliers, the reprojection error reaches 0.09 pixels, has lower requirements on the type and cost of calibration plates, and has certain practical value.