Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 79-84 |
| Number of pages | 6 |
| Journal | Guangdian Gongcheng/Opto-Electronic Engineering |
| Volume | 33 |
| Issue number | 8 |
| Publication status | Published - Aug 2006 |
| Externally published | Yes |
Keywords
- Calibration
- Monte Carlo statistic method
- Structured light vision
- Uncertainty
- Vision sensors