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About this Block

What it does: The Smoothen Voxel Grid block uses a variety of smoothing algorithms, specified in the Filter input, to smooth out sharp features in a Voxel Grid. Common uses:
  • Smoothen out sharp features in a Voxel Grid.
Tips:
  • The iterations input contributes to the overall smoothness and computation time, and controls the number of times that the smoothing algorithm is applied to the input Voxel Grid.
  • The Width input refers to the range neighboring Voxels that contribute to the smoothing.
  • A larger Width will result in a smoother output geometry, but will also remove small features that are smaller than the filter Width.
  • The different smoothing algorithms are:
    • MeanCurvature: Moves the surface in a normal direction by an amount equal to the mean curvature
    • Laplacian: Applies Laplacian flow, This applies a weighted average of the voxel and its neighbors.
    • Dilate: Moves the surface outward by the amount specified.
    • Gaussian: Applies a gaussian flow, a weighted average of the voxel and its neighbors where a Gaussian determines the weights.
    • Median/Mean: Median/Mean flow. This is an averaging procedure where voxel values are replaced by the median/mean of a neighborhood.
    • Eikonal: Re-distances the voxel grid so that the result is an SDF.
Apply a filtering function to smoothen a voxel grid.

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Inputs

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Outputs