Parametrization#
The Parametrization tab provides tools for fitting and working with models.
Parametric Fitting#
Fit basic geometric shapes to point clouds:
Sphere#
Fits a sphere using least squares optimization:
Select a cluster with spherical shape
Click Sphere to fit the model
The fitted sphere appears in the Models section
Ellipsoid#
Fits an ellipsoid using eigenvalue decomposition and least squares optimization:
Select a cluster with ellipsoidal shape
Click Ellipsoid to fit the model
The fitted ellipsoid appears in the Models section
Cylinder#
Fits a cylinder using PCA and iterative refinement:
Select a cluster with cylindrical or tubular shape
Click Cylinder to fit the model
The fitted cylinder appears in the Models section
Non-Parametric Fitting#
RBF (Radial Basis Function)#
Creates smooth, non-parametric surface models through radial basis function interpolation. Ideal for complex, non-parametric shapes that can be represented as height fields, i.e. an open membrane section.
Select a cluster with surface-like structure
Click RBF
Configure interpolation direction:
xy: Surface as function of x,y coordinates
xz: Surface as function of x,z coordinates
yz: Surface as function of y,z coordinates
Click OK to create the interpolated surface
Mesh#
Select a cluster with sufficient point density
Click Mesh
Choose reconstruction method:
Alpha Shape: Surface reconstruction using alpha shapes
Ball Pivoting: Robust surface reconstruction for structured data
Poisson: Watertight surface reconstruction
Flying Edges: Fast isosurface extraction for dense segmentations
Configure method-specific parameters:
- Alpha Shape Parameters:
Alpha: Controls shape complexity (higher = coarser features)
Edge Length: Target edge length for remeshing (-1 = auto)
- Ball Pivoting Parameters:
Radii: Ball radii for reconstruction (comma-separated, e.g., “5,3.5,1.0”)
Hole Size: Maximum hole area to fill (-1 = fill all)
Edge Length: Target edge length for remeshing (-1 = auto)
- Poisson Parameters:
Depth: Octree depth (higher = more detail)
Neighbors: Number of neighbors for normal estimation
Distance: Drop vertices further than this from input
Density Quantile: Remove low-confidence vertices
Set fairing parameters (Alpha Shape and Ball Pivoting):
Smoothness: Balance between position anchoring and curvature minimization (0 = stay in place, 1 = full smoothing)
Curvature Weight: Higher-order smoothing for curvature continuity
Pressure: Normal displacement of inferred vertices (positive = expand, negative = contract)
Click OK to generate the mesh
Note: Mesh quality depends on point cloud density and noise levels. For sparse data, try larger ball pivoting radii or lower Poisson depth.
Curve#
Fits spline curves of requested order to sequential control point data. Good for creating smooth curves from hand-drawn paths:
Create control points using drawing mode:
Press
Shift+Ato enter curve drawing modeClick to place control points in sequence
Press
Enterto complete the curveOR select an existing cluster with linear structure
Click Curve
Configure spline parameters: - Order: Spline degree (1=linear, 3=cubic, 5=quintic)
Click OK to fit the curve
Sampling Operations#
Sample#
Creates point clouds from fitted models:
Select one or more models in the Object Browser
Click Sample
Configure sampling parameters:
- Sampling Method:
Points: Generate specified number of points
Distance: Generate points with specified average spacing
- Parameters:
Sampling: Number of points or point spacing value
Offset: Normal-direction offset from surface (useful for particle picking)
Click OK to generate sample points
Mesh Operations#
Repair#
Fixes mesh topology issues and fills holes. Holes are closed, the mesh is remeshed to uniform edge length, and inferred vertices are faired:
Select mesh models to repair
Click Repair
Configure repair parameters:
- Fairing:
Smoothness: Balance between anchoring and curvature minimization (0 = stay in place, 1 = full smoothing)
Curvature Weight: Higher-order smoothing for curvature continuity
Pressure: Normal displacement of inferred vertices
- Hole Filling:
Hole Size: Maximum hole area to fill (-1=fill all holes)
Click OK to repair meshes
Remesh#
Improves mesh quality and adjusts triangle density:
Select mesh models to remesh
Click Remesh
Choose remeshing method:
- Edge Length:
Edge Length: Target average edge length
Iterations: Number of optimization passes
- Vertex Clustering:
Radius: Clustering radius for vertex merging
- Quadratic Decimation:
Triangles: Target triangle count
- Subdivide:
Iterations: Number of subdivision passes
Smooth: Use smooth Loop subdivision vs. simple midpoint
Configure method-specific parameters
Click OK to remesh
Use Cases:
Edge Length: Create uniform triangle sizes for simulation
Vertex Clustering: Quick mesh simplification
Quadratic Decimation: High-quality mesh reduction
Subdivide: Increase resolution for detailed modeling
Smooth#
Improves mesh quality by smoothing surface.
Select mesh models to smooth
Click Smooth
Choose remeshing method:
- Taubin:
Solid smoothing without net shrinkage
- Laplacian:
Very smooth mesh but net shrinkage
- Average:
Mesh denoising but net shrinkage
- Parameters:
Iterations: Number of smoothing iterations (higher is smoother)
Click OK to remesh
Project#
Projects point clouds onto mesh surfaces using ray casting:
Select exactly one mesh model (target surface)
Select one or more point cloud clusters (sources to project)
Click Project
Configure projection settings:
- Projection Method:
Cast Normals: Use point normal vectors for ray casting
Invert Normals: Reverse normal direction
Click OK to perform projection
Results:
Creates new point clouds with projected coordinates
Generates updated mesh with projection points integrated
Preserves original data while adding projected versions
Fill#
Fills the interior of a closed triangle mesh with regularly spaced points using ray casting:
Select one or more mesh models
Click Fill
Results:
Creates a point cloud filling the mesh interior on a regular grid
Grid spacing matches the geometry’s sampling rate
Next Steps#
Continue to the Intelligence tab to learn about advanced features like HMFF and membrane segmentation.