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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

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【作者】 王永强吕乃光董明利燕必希

【Author】 Wang Yongqiang1,2 Lu Naiguang1,2 Dong Mingli2 Yan Bixi2(1 School of Electronic Engineering,Beijing University of Posts and Telecommunications,Beijing100876,China;2 Department of Electronics and Information,Beijing Information Sciensand Technology University,Beijing 100085, China)

【机构】 北京邮电大学电子工程学院北京信息科技大学电子信息工程系北京信息科技大学电子信息工程系 北京100876北京100085北京100876

【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.

【Abstract】 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.

【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
  • 【文献出处】 华中科技大学学报(自然科学版) ,Journal of Huazhong University of Science and Technology(Nature Science Edition) , 编辑部邮箱 ,2007年06期
  • 【分类号】TP274.4
  • 【被引频次】2
  • 【下载频次】179
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