A RANSAC-based stable plane fitting method of point clouds
LI Meng-di;JIANG Sheng-ping;WANG Hong-ping;China University of Geosciences;Autodesk,Inc.;
In the process of plane fitting of point clouds,there are some gross errors and outliers.In order to overcome this shortcoming,a robust plane fitting method based on RANSAC(RANdom SAmple Consensus)was proposed in the paper.It combined with eigenvalue method and obtained some ideal plane fitting parameters through setting certain criteria to remove the gross errors and outliers.The proposed algorithm was used to do plane fitting with the simulation data and the measured data,and result showed that compared with traditional methods,the proposed method could do well with the point clouds containing errors and outliners,thus be a robust plane fitting algorithm.
【CateGory Index】： P207