基于双目视觉模型的运动参数测量

通过建立双目测量的数学模型,由标志点在双摄像机成像平面上的坐标求得运动物体的运动参数。在不考虑摄像机内外参数标定误差的情况下,研究了标志点像元的测量精度对运动参数测量的影响。通过分析图像分割求取标志点形心引起的误差,利用窗口中心迭代算法提高标志点形心测量的精度,从而提高了运动参数的测量精度。由空间飞行器自动交会的仿真试验验证了算法的有效性。

Measurement of motion parameters based on the binocular vision model

A method based on binocular vision model is discussed to determine the relative motion parameters between two space objects. The relationship between the detection of feature points and the measurement of motion parameters is studied in this instance of ignoring the camera calibrate errors. By analyzing the measurement error of center of figure of the feature point affected by image segmentation, an algorithm based on iteration of the center of the track window is used to improve the measurement accuracy. The experiment verifies that the algorithm is valid.