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基于随机抽取一致性的稳健点云平面拟合

Keywords: 点云数据,随机抽取一致性(RANSAC),最小二乘法,平面拟合

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Abstract:

针对常用的平面拟合方法在点云数据存在误差或异常值时产生拟合不稳定的现象,提出了结合最小二乘法的随机抽取一致性(randomsampleconsensus,RANSAC)平面拟合算法.该方法先用RANSAC算法检测并剔除异常数据点,再利用最小二乘法将得到的有效数据点拟合,计算平面模型参数.实验中,分别采用该算法和最小二乘法、特征值法对仿真数据进行平面拟合,且采用本文提出的算法,分别对含有不同程度误差和异常值的点云数据进行拟合计算.研究结果表明:该算法适用于存在误差和异常值的点云数据拟合,能稳定地得到较好的平面参数估值,具有较强的稳健性.

References

[1]  XIE Xu-yang,GUI Fang-ru.Study on the application technology of three-dimensional laser scanner[C]∥Proceedings of the 2011 International Conference on Education Science and Management Engineering(part 2).Delaware:Scientific Research Publishing,2011:937-939.
[2]  BESL P J,JAIN R C.Invariant surface characteristics for3D object recognition in range images[J].Computer Vision,Graphics Image Process,1986,33(1):33-80.
[3]  ACHARYA P K,HENDERSON T C.Parameter estimation and error analysis of range data[C]∥1988 IEEE International Conference on Robotic and Automation.New York:IEEE,1988:1709-1714.
[4]  官云兰,程效军,施贵刚.一种稳健的点云数据平面拟合方法[J].同济大学学报:自然科学版,2008,36(7):981-984.GUAN Yun-lan,CHENG Xiao-jun,SHI Gui-gang.A robust method for fitting a plane to point clouds[J].Journal of Tongji University:Natural Science,2008,36(7):981-984.(in Chinese)
[5]  周春霖,朱合华,李晓军.随机抽取一致性平面拟合及其应用研究[J].计算机工程与应用,2011,47(7):177-179.ZHOU Chun-lin,ZHU He-hua,LI Xiao-jun.Research and application of robust plane fitting algorithm with RANSAC[J].Computer Engineering and Application,2011,47(7):177-179.(in Chinese)
[6]  FEMANDEZ O.Obtaining a best fitting plane through 3D georeferenced data[J].Journal of Structural Geology,2001,27(5):855-858.
[7]  官云兰,刘绍堂,周世健,等.基于整体最小二乘的稳健点云数据平面拟合[J].大地测量与地球动力学,2011,31(5):80-83.GUAN Yun-lan,LIU Shao-tang,ZHOU Shi-jian,et al.Robust plane fitting of point clouds based on TLS[J].Journal of Geodesy and Geodynamics,2011,31(5):80-83.(in Chinese)
[8]  FISCHLER M A,BOLLES R C.Random sample consensus:a paradigm for model fitting with applications to image analysis and automated cartography[J].Communications of the ACM,1981,24(6):381-395.
[9]  CAPEL D P.An effective bail-out test for RANSAC consensus scoring[C]∥Proceedings of the British Machine Vision Conference 2005,Oxford,UK,September.Durham:BMVA,2005:78.1-78.10.
[10]  黄游明,刘播,徐涛.数值计算方法[M].北京:科学出版社,2005.

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