Geometry

Basics

• Point cloud
  • Visualize point cloud
  • Voxel downsampling
  • Vertex normal estimation
  • Access estimated vertex normal
  • Crop point cloud
  • Paint point cloud
  • Point cloud distance
  • Bounding volumes
  • Convex hull
  • DBSCAN clustering
  • Plane segmentation
  • Hidden point removal
• Mesh
  • Visualize a 3D mesh
  • Surface normal estimation
  • Crop mesh
  • Paint mesh
  • Mesh properties
  • Mesh filtering
    • Average filter
    • Laplacian
    • Taubin filter
  • Sampling
  • Mesh subdivision
  • Mesh simplification
    • Vertex clustering
    • Mesh decimation
  • Connected components
• RGBD images
  • Redwood dataset
  • SUN dataset
  • NYU dataset
  • TUM dataset
• KDTree
  • Build KDTree from point cloud
  • Find neighboring points
    • Using search_knn_vector_3d
    • Using search_radius_vector_3d

Processing

• File IO
  • Point cloud
  • Mesh
  • Image
• Point cloud outlier removal
  • Prepare input data
  • Select down sample
  • Statistical outlier removal
  • Radius outlier removal
• Voxelization
  • From triangle mesh
  • From point cloud
  • Inclusion test
  • Voxel carving
• Surface reconstruction
  • Alpha shapes
  • Ball pivoting
  • Poisson surface reconstruction
  • Normal estimation
• Transformation
  • Translate
  • Rotation
  • Scale
  • General transformation
• Mesh deformation
  • Smoothed ARAP
• Intrinsic shape signatures (ISS)
  • ISS Keypoints
  • ISS keypoint detection example

Interface

• Python Interface
  • Install Open3D Python package
  • Install Open3D from source
  • Getting started
  • Using built-in help function
    • Browse Open3D
    • Description of a class in Open3D
    • Description of a function in Open3D
• Working with NumPy
  • From NumPy to open3d.PointCloud
  • From open3d.PointCloud to NumPy