Abstract
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 arithmetic, 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 arithmetic in this work. The research verified the feasibility of auto-calibration, providing arithmetic 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.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
