Estimation of uncertainty in calibrating line structured light sensor

The influence of uncertainty of feature points on the calibration accuracy of the line structured light vision sensor was analyzed in the paper. Based on the theory of matrix turbulence and first-order uncertainty analysis, a feasible method for estimating the uncertainty of parameters of homography matrix was proposed, and propagating model of uncertainty from errors of the feature points to the calibration error was established as well. Simulation experiments conducted with Monte Carlo statistic method reveal that the proposed propagating model of uncertainty is valid. Based on the established uncertainty model, one practical error evaluating method can be obtained in calibrating the line structured light vision sensor.