视觉测量系统的像点残余误差和紧密度分析

提出了视觉测量系统的像点残余误差和紧密度的精度评价方法,基于束调整算法推导了像点残余误差和紧密度的计算公式.测量实验表明,在大尺寸视觉测量中,采用本方法更有利于对测量作精度评价,便于工业测量应用.作为实例,对实验室控制场内测量点进行三维坐标测量,50 %的待测像点坐标达到0.13像素的精度,50 %的空间点坐标的紧密度小于0.024 %.这种精度评价方法特别适合于采用束调整算法的多站位视觉测量系统,可以伤脑筋为常规精度估算方法的补充.

Analysis of largest marked residual and tightness in videogrammetric systems

A method is proposed to evaluate the largest marked residuals and tightness in a videogrammetric system exactly,and their calculation formula were respectively deduced theoretically by bundle adjustment algorithm. The experiment results show this method was more proper to evaluate the precision of large-scale videogrammetric system,can be applied widely in industrial measurement.The precision evaluation to 3-D coordinates measurement of a control field in the laboratory was given as an example,in which half of the image points had largest marked residuals less than 0.13 pixel,50 % of the space points had tightness less than 0.024 %.This evaluation method suits especially to multi-station videogrammetric system based on the algorithm of bundle adjustment.It can be taken as a complementarity of traditional precision evaluation method.