Takes an input point cloud and reconstructs it into an output mesh.
Input features having point cloud geometry.
Reconstructed mesh features.
Point clouds which are unable to be reconstructed, as well as non-point cloud geometries are output via the <Rejected> port.
Specifies whether to use Simple Triangulation or Poisson reconstruction. Simple Triangulation uses a greedy algorithm to connect points into surfaces. Poisson reconstruction creates a closed, smooth mesh.
The maximum number of neighbors to consider when performing normal estimation.
The maximum distance between points. Practically, this is the maximum edge length for every triangle.
The maximum acceptable distance for a point to be considered, relative to the distance of its nearest point.
The maximum number of neighbors to consider when performing surface reconstruction.
The minimum angle in each triangle.
The maximum angle in each triangle.
Sets the maximum angle between point normals. Above this maximum, points will not be connected.
Specifies whether input normals are consistently oriented.
Sets whether output triangle vertices should be ordered consistently.
Specifies the maximum depth of the tree that will be used for surface reconstruction. Higher values can result in more detailed output at the cost of performance.
Specifies the minimum depth of the tree that will be used for surface reconstruction. Higher values can result in more detailed output at the cost of performance.
Specifies the importance that interpolation of the point samples is given in the formulation of the screened Poisson equation. The results of the original (unscreened) Poisson Reconstruction can be obtained by setting this value to 0.
Specifies the ratio between the diameter of the cube used for reconstruction and the diameter of the samples’ bounding cube.
Sets the depth at which a block Gauss-Seidel solver is used to solve the Laplacian equation. This parameter can be used to reduce memory overhead at the cost of a small increase in reconstruction time. Solver Divide Depth must be greater than or equal to Minimum Depth.
Sets the depth at which a block iso-surface extractor should be used to extract the iso-surface. This parameter can be used to reduce memory overhead at the cost of a small increase in extraction time. Isosurface Divide Depth must be greater than or equal to Minimum Depth.
Specifies the minimum number of sample points that should fall within an octree node as the octree construction is adapted to sampling density. Larger values should be used for more noisy input data.
Enabling this parameter causes normals to be used as confidence information. When disabled, normals are normalized to have unit-length before reconstruction.
Specifies whether a polygon mesh or a triangle mesh should be output.
Enabling this parameter causes the polygon barycenter to be added when triangulating polygons with more than three vertices.
Editing Transformer Parameters
Using a set of menu options, transformer parameters can be assigned by referencing other elements in the workspace. More advanced functions, such as an advanced editor and an arithmetic editor, are also available in some transformers. To access a menu of these options, click beside the applicable parameter. For more information, see Transformer Parameter Menu Options.
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Tags Keywords: point "point cloud" cloud PointCloud LiDAR sonar