Open3D Equidistant Thinning Algorithm and Its Programming Realization
Equally spaced thinning is a common data processing technique used to reduce the number of data points while keeping the shape of the data roughly constant. Open3D is an open source computer vision library that provides many functions for three-dimensional data processing and visualization. This article will introduce the equidistant thinning algorithm in Open3D, and provide corresponding programming examples.
Equally spaced thinning algorithm is a simple and effective data downsampling method based on distance measure. The basic idea is that in a given data set, select a part of the data points as representative points after extraction, so that the distance between these representative points can be kept within a certain range. By adjusting this distance threshold, the data density after thinning can be controlled.
In Open3D, the equidistant thinning algorithm can be voxel_down_sampleimplemented through functions. Here is a simple sample code showing how to use Open3D for equidistant thinning:
import open3d as o3d
# 读取点云数据
pcd = o3d.io.read_point_cloud("input.pcd")
# 执行等间距抽稀
downsampled =