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约束总体最小二乘在点云拼接中的应用
引用本文:陈玮娴,袁庆,陈义.约束总体最小二乘在点云拼接中的应用[J].大地测量与地球动力学,2011,31(2):137-141.
作者姓名:陈玮娴  袁庆  陈义
作者单位:1)同济大学测量与国土信息工程系, 上海 2000922)现代工程测量国家测绘局重点实验室,上海 200092
摘    要:在两站点云拼接的大角度空间直角坐标转换问题中,由于拟合靶标球心坐标值在两套扫描测站坐标系下均存在误差,提出基于约束总体最小二乘的点云拼接方法,建立附有约束条件的变量中的误差模型,对观测向量和系数阵同时进行修改。经算例证明,与传统的约束最小二乘法相比,可得到更加合理的模型和更高精度的参数解

关 键 词:点云  拼接  变量中的误差  约束最小二乘  约束总体最小二乘  

APPLICATION OF CONSTRAINED TOTAL LEAST-SQUARES TO CLOUD POINT REGISTRATION
Chen Weixian,Yuan Qing,Chen Yi.APPLICATION OF CONSTRAINED TOTAL LEAST-SQUARES TO CLOUD POINT REGISTRATION[J].Journal of Geodesy and Geodynamics,2011,31(2):137-141.
Authors:Chen Weixian  Yuan Qing  Chen Yi
Institution:1)Department of Surveying and Geo-informatics, Tongji University, Shanghai 2000922)Key Laboratory of Modern Engineering Surveying, SBSM, Shanghai 200092
Abstract:The cloud point registration is a peoblem of three dimensional-datum transformation with big rotation angle.As the fitting coordinates of sphere target's centers in the two sets of scanning coordinate systems are both influnenced by errors,we introduce constrained total least-squares(CTLS) method for cloud point registration.We established the errors-in-variables(EIV) model with the constraints and revised the observed vector and the coefficient matrix.The calculated example has proved that the more reasona...
Keywords:clould points  registration  error-in-variables(EIV)  constrained least-squares(CLS)  constrained total least-squares(CTLS)  
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