该函数可以从点云中移除统计离群点。
open3d.geometry.PointCloud.remove_statistical_outlier(nb_neighbors, std_ratio)
nb_neighbors
:int类型,表示每个点周围要考虑的邻居点的数量。std_ratio
:float类型,表示标准差倍数。点的深度(z)离邻近点的深度均值的标准差超过std_ratio后,该点被视为离群点。import open3d
import numpy as np
# 创建点云
pcd = open3d.geometry.PointCloud()
pcd.points = open3d.utility.Vector3dVector(np.random.randn(100, 3))
# 添加噪声点
outliers = np.random.randint(0, 100, size=20)
for i in outliers:
pcd.points[i] = np.array([100, 0, 0])
# 移除离群点
pcd.remove_statistical_outlier(nb_neighbors=10, std_ratio=1.0)
# 可视化
open3d.visualization.draw_geometries([pcd])