This paper proposes a preferred method for the structural parameters of the binocular vision measurement system to improve the accuracy of the system. First, error functions of the structural parameters affecting the measurement accuracy is established on the model of the binocular vision measurement system. Then, the error function is used to theoretically analyze the simple linear structural parameters. For complex nonlinear structural parameters, the preferred range is obtained using MATLAB simulation analysis. when one of the horizontal projection angles of the two cameras is positive and the other one is negative, the system will get better measurement results. At the same time, when the angle between the optical axis and the baseline exceeds 80°, the measurement accuracy of the system is improved. Finally, multiple sets of experimental results indicate the correctness of the preferred range derived from the simulation. Experiments have shown that the preferred range of structural parameters proposed in this paper can improve the accuracy of the binocular vision measurement system.
Fei Hao, Structural parameters analysis of binocular vision measurement system