From 993060cbdde7d9c08f4425ddafc9b0c7e6c649dc Mon Sep 17 00:00:00 2001 From: Nuno Nobre Date: Wed, 5 Jul 2023 14:55:02 +0100 Subject: [PATCH] Simplify description in the Triangulated Surface Mesh Segmentation user manual Co-authored-by: Sebastien Loriot --- .../doc/Surface_mesh_segmentation/Surface_Mesh_Segmentation.txt | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/Surface_mesh_segmentation/doc/Surface_mesh_segmentation/Surface_Mesh_Segmentation.txt b/Surface_mesh_segmentation/doc/Surface_mesh_segmentation/Surface_Mesh_Segmentation.txt index b618ef20ce03..ca138cd3e895 100644 --- a/Surface_mesh_segmentation/doc/Surface_mesh_segmentation/Surface_Mesh_Segmentation.txt +++ b/Surface_mesh_segmentation/doc/Surface_mesh_segmentation/Surface_Mesh_Segmentation.txt @@ -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).