Open3D implements depth image to point cloud data

Open3D implements depth image to point cloud data

In the fields of computer vision and 3D reconstruction, converting depth images to point cloud data is an important task. Open3D is an open source computer vision library that provides a wealth of functions and tools to process and analyze three-dimensional data. This article will introduce how to use the Open3D library to convert depth images into point cloud data, with corresponding source code examples.

First, we need to import the Open3D library and load the depth image. A depth image can be a grayscale image containing depth information, usually obtained by a depth sensor such as Kinect or a ToF camera. In this example, we assume we already have a depth image file called "depth.png".

import open3d as o3d
import numpy as np

# 加载深度图像
depth_image = o3d.io.read_image("depth.png")

Next, we need to convert the depth image into point cloud data. Open3D provides a function create_point_cloud_from_depth_imageto do this