The linear structured light plane calibration based on homography matrix and feature point screening mechanism
Aiming at the small number of feature points in target plane and large error in initial feature point ex-traction due to illumination conditions and image noise distortion,an optimization method of linear structured light plane calibration is proposed by combining the mapping relationship of homography matrix and feature point screening mechanism.OpenCV is used to extract the optical fringe and calculate the coordinates of the feature points in the camera coordinate system combined with the homography matrix,and the initial light plane is ob-tained by fitting it.The average distance between the feature points and the light plane is used as the threshold to construct the feature point screening mechanism,and the optimized light plane is obtained by fitting the screening points.The average error of the standard measure block is 0.064 84 mm,and the experiment shows that the opti-mization method significantly reduces the fitting error of the initial feature points,and has high accuracy.
line structured light sensorhomography matrixlight plane calibration3D measurement
万方数据
维普
