Approach to high-precision recognition and positioning of camera in state of motion
Li Ma, Liu Lei, Song Lihua, Zhang Yongmei · 2015
Precisely positioning in the automatic operations can always be seen in a complex system. However, it is difficult to achieve accurate calibration in a state of motion by traditional methods due to their necessities to calibrate reference objects. Though the camera self-calibration in motion has better flexibility and practicality than the traditional method, it is still long before it really addresses actual engineering issues for its positioning accuracy and robustness still be in experimental stage. To tackle the said problems, an approach to a high-precision recognition and positioning of camera in a state of motion was brought up by transforming tough positioning to accurate one. By experiments and tests, the contribution of the paper is the giving of a practical solution for high-precision recognition and positioning of components in the operations of the complex system. The accuracy of recognition system reached 0.01mm which is accurate and stable made it possible.