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Simplify description in the Triangulated Surface Mesh Segmentation user manual 

Co-authored-by: Sebastien Loriot <sloriot.ml@gmail.com>
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Nuno Nobre 2023-07-05 14:55:02 +01:00 committed by GitHub
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Surface_mesh_segmentation/doc/Surface_mesh_segmentation/Surface_Mesh_Segmentation.txt
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@ -128,7 +128,7 @@ where:
Note both terms of the energy function, \f$ e_1 \f$ and \f$ e_2 \f$, are always non-negative.
The first term of the energy function provides the contribution of the soft clustering probabilities.
The second term of the energy function is a geometric criterion that is larger the closer to \f$\pm\pi\f$, i.e. the flatter, the dihedral angle between two adjacent facets not in the same cluster is.
The second term of the energy function is a geometric criterion that is larger the closer to \f$\pm\pi\f$ the dihedral angle between two adjacent facets not in the same cluster is.
The smoothness parameter makes this geometric criterion more or less prevalent.
Assigning a high value to the smoothness parameter results in a small number of segments (since constructing a segment boundary would be expensive).