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针对地铁隧道这种具有特殊截面特征的狭长形构筑物,提出了一种基于椭圆拟合的点云去噪方法。首先通过建立隧道最小包围盒确定隧道的轴线方向;接着沿该方向用分段投影的方法得到隧道点云切片;最后对切片点云进行椭圆拟合,并根据拟合标准差设定阈值进行去噪。实验表明,该方法简单易行,能有效除去隧道点云数据中的噪声。
Aiming at the long and narrow structures with special cross-section in metro tunnel, a point cloud denoising method based on ellipse fitting is proposed. Firstly, the tunnel’s minimum bounding box is set up to determine the axial direction of the tunnel. Then, the tunnel point cloud slices are obtained by segment projection in this direction. Finally, the ellipse of the slicing point cloud is fitted and the threshold is set according to the fitted standard deviation noise. Experiments show that this method is simple and easy, and can effectively remove the noise in the tunnel point cloud data.