为了克服单目视觉测量中景深信息缺失的问题，运用改进的两段式迭代算法，对刚体位姿测量解算模型进行了优化.给出了特征标靶最优化布局，理论分析了标靶尺寸大小、标靶基线长度及特征圆点大小和解算准确度的关系.实验结果表明，优化的特征标靶布局、较大的特征标靶基线长度及较小的特征圆点靶标能够提高测量解算准确度.该研究对提高实际测量系统解算准确度具有一定的理论指导意义.

In order to overcome the lack of depth information in monocular vision measurement, an improved two-stage iterative algorithm was proposed to optimize the posture and attitude measurement models. The characteristics of the target layout optimization were given. The relationships between the calculating accuracy with the target size, baseline length and characteristics of the target dot size were analyzed theoretically. Experimental results show that optimizing the layout of the target characteristic, the larger the length of the baseline and smaller characteristics of the target dots can improve the measurement target solver accuracy. The actual research has a certain guiding theoretical significance to improve the practical measurement system calculation accuracy.