Open3D
0.6.0
  • About Open3D
  • Getting Started
  • Compiling from source
  • Contributing to Open3D

Tutorial

  • Basic
    • Python interface
    • File IO
    • Point cloud
    • Mesh
    • RGBD images
    • RGBD odometry
    • Visualization
    • KDTree
    • ICP registration
    • Working with NumPy
    • Jupyter Visualization
  • Advanced
  • Reconstruction system
  • C++ interface
  • Docker
  • Reference

Python API

  • open3d.camera
  • open3d.color_map
  • open3d.geometry
  • open3d.io
  • open3d.integration
  • open3d.odometry
  • open3d.registration
  • open3d.utility
  • open3d.visualization
Open3D
  • Docs »
  • Basic

Basic¶

Open3D has two interfaces: C++, and Python. This tutorial focuses on the Python interface since it is easy to use and should be regarded as the primary interface of Open3D.

  • Python interface
    • Install open3d python package
    • Install open3d from source
    • Import open3d module
      • Using built-in help function
      • Browse open3d
      • Description of a class in open3d
      • Description of a function in open3d
  • File IO
    • Point cloud
    • Mesh
    • Image
  • Point cloud
    • Visualize point cloud
    • Voxel downsampling
    • Vertex normal estimation
    • Access estimated vertex normal
    • Crop point cloud
    • Paint point cloud
  • Mesh
    • Print vertices and triangles
    • Visualize 3D mesh
    • Surface normal estimation
    • Crop mesh
    • Paint mesh
  • RGBD images
    • Redwood dataset
    • SUN dataset
    • NYU dataset
    • TUM dataset
  • RGBD odometry
    • Read camera intrinsic
    • Read RGBD image
    • Compute odometry from two RGBD image pairs
    • Visualize RGBD image pairs
  • Visualization
    • Function draw_geometries
    • Store view point
    • Rendering styles
    • Geometry primitives
    • Draw multiple geometries
    • Draw line set
  • KDTree
    • Build KDTree from point cloud
    • Find neighboring points
      • Using search_knn_vector_3d
      • Using search_radius_vector_3d
  • ICP registration
    • Helper visualization function
    • Input
    • Point-to-point ICP
    • Point-to-plane ICP
  • Working with NumPy
    • From NumPy to open3d.PointCloud
    • From open3d.PointCloud to NumPy
    • From NumPy to open3d.Image
  • Jupyter Visualization
    • Controls
    • Example usage
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