Research and realization of an auto-calibration technique based on stereovision

The purpose of this research is to analyse the present-day state of calibration techniques and to realize an auto-calibration technique based on a projected grating 3D measuring system. An auto-calibration technique, called multiple target tracking for detecting outlines based on random placing and regular numbers, was proposed. The practical algorithm was also presented at the same time. According to this algorithm, the relevant experimental result was gained. Furthermore, the precision of the calculation result was analyzed. The results showed that the operation was simplified, the orientation precision of image outline edges was ensured and calibration precision was kept within 0.02-0.05 mm by using the algorithm in this work. The research verified the feasibility of auto-calibration, providing algorithm that is extremely useful for the industrial application of computer vision technologies. The paper deals with experimental work on innovative techniques for which the data have not been seen in the literature. In particular, an original auto-calibration technique, which is named as multiple target tracking for detecting outlines based on random placing and regular numbers, was provided.