diff --git a/_posts/2024-07-05-mesh3-improvements.md b/_posts/2024-07-05-mesh3-improvements.md index a1ee0f0d..9d248a8b 100644 --- a/_posts/2024-07-05-mesh3-improvements.md +++ b/_posts/2024-07-05-mesh3-improvements.md @@ -29,9 +29,9 @@ mesh generation algorithm to represent the input surface in a more accurate way,

Recent releases of CGAL have introduced improvements to the 3D Tetrahedral Mesh Generation package: detection and protection of triple lines from labeled images, -use of weighted labeled images, -dealing with self-intersecting input surfaces, -and a new approximation error criterion for polyline features.

+generation and use of weighted labeled images, +a new approximation error criterion for polyline features, +and the ability to deal with self-intersecting input surfaces.


Triple lines from labeled images

@@ -90,20 +90,25 @@ presents challenges. A new method that combines feature detection and weighted l designed and implemented in CGAL, achieving smooth and feature preserving output meshes. This method leverages the best of these two new functionalities.

-
-

Self-intersecting input surfaces

+

Approximation Criterion on Feature Edges

+ +

A Delaunay refinement algorithm is guided by meshing criteria that trigger Steiner vertices insertions, +until they are satisfied. +The list of CGAL meshing criteria has been enriched with a new criterion that enables the user to +define an upper bound on the distance between the input feature graph and the output feature edges.

+ +

The following example shows how to use this new criterion, called edge_distance: + +mesh_polyhedral_domain_with_edge_distance.cpp.

+#TODO : add image here to illustrate edge_distance
-

Approximation Criterion on Feature Edges

+

Self-intersecting input surfaces

+#TODO : write another news entry on that topic

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