Research On High-precision Camera Calibration Algorith

Camera calibration was an important step in machine vision technology,and its accuracy directly affects the accuracy and reliability of subsequent tasks such as image processing,recognition and control.With this background,this paper presents a detailed study of existing calibration methods,analyzes and improves the Zhang Zhengyou calibration method to improve calibration accuracy,and verifies its effectiveness in experiments.The specific research includes the following aspects:First,based on the summary of previous work,a two-vertical line calibration method based on plane transformation was proposed to improve the calibration accuracy.In the algorithm implementation,the accuracy of the existing algorithm was improved by methods such as improving the accuracy of the detection marker points,(e.g.,circle center extraction).This method reduces the effect of perspective deviation by plane transformation and avoids the problem of introducing single-strain matrix.The method was also theoretically derived and experimentally verified,and the results show that the method is superior to the traditional Zhang Zhengyou calibration method in terms of accuracy.Second,according to the error theory,the influence of external factors,such as posture and quantity,on the accuracy was analyzed in detail,and on this basis,the information of the range of posture change and quantity of the calibration target during the camera calibration is obtained,and in this way,the four-posture uniform calibration method is proposed to improve the calibration accuracy.Third,the camera calibration has be used for aircraft flap and droop swing angle measurements with a practical engineering context,solving the problem of low vertical swing angle measurements using posture sensors.The experiments show that the accuracy of this method is comparable to that of the attitude sensor in the horizontal direction and better than that of the posture sensor in the vertical direction,which provides a basis for the promotion and application of camera calibration technology in the aviation field.In this paper,the monocular camera calibration method is discussed,and the strategy to achieve high accuracy calibration is discussed in terms of both algorithm and calibration target attitude,and based on this,the angular measurement of simulated aircraft flap and droop tail rotation state is completed,which provides a solution for spatial turning angle measurement of large scale objects in space.