视觉测量系统的像点残余误差和紧密度分析  

Analysis of largest marked residual and tightness in videogrammetric systems

作　　者：王永强[1] 吕乃光[1] 董明利[2] 燕必希[2] 

机构地区：[1]北京邮电大学电子工程学院,北京100876 [2]北京信息科技大学电子信息工程系,北京100085

出　　处：《华中科技大学学报（自然科学版）》2007年第6期17-19,共3页Journal of Huazhong University of Science and Technology(Natural Science Edition)

基　　金：国家自然科学基金资助项目(50475176;50675015);北京市自然科学基金北京市教委科技发展计划重点项目(KZ200511232019);北京市属市管高校人才强教计划资助项目(PXM2007-014224-044674);机电系统测控北京市重点实验室开放课题资助

摘　　要：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.A method is proposed to evaluate the largest marked residuals and tightness in a videogram- metric 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.

关 键 词：视觉测量系统 残余误差 视觉测量精度 束调整 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]