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Keep fixing the doc
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@ -493,15 +493,18 @@ These computations are performed with :
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- `CGAL::Polygon_mesh_processing::sample_triangle_mesh()`
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- `CGAL::Polygon_mesh_processing::sample_face()`
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\subsection AHDExample Approximate Hausdorff Distance Example
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In the following example, a mesh is isotropically remeshed and the approximated distance between the input and the output is computed.
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\cgalExample{Polygon_mesh_processing/hausdorff_distance_remeshing_example.cpp}
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\subsection PoissonDistanceExample Max Distance Between Point Set and Surface Example
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In the following example, a triangulated surface mesh is constructed from a point set using the
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\link PkgPoissonSurfaceReconstructionSummary Poisson reconstruction algorithm \endlink, and the distance between the point set and the reconstructed surface is computed.
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\cgalExample{Poisson_surface_reconstruction_3/poisson_reconstruction_example.cpp}
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\section PMPHistory Implementation History
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A first version of this package was started by Ilker %O. Yaz and Sébastien Loriot.
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@ -379,6 +379,7 @@ double approximate_Hausdorff_distance(
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- `GRID`: points are generated on a grid, with a minimum of one point .
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- `MONTE_CARLO`: points are generated randomly . The number of points is proportional to the face area with a minimum of 1.
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*
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* @param f the face descriptor of the sampled face.
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* @param tm the triangle mesh that contains `f`
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* @param parameter depends on `method`:
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- `RANDOM_UNIFORM` and `MONTE_CARLO`: the number of points per squared area unit
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@ -474,7 +475,7 @@ sample_face(typename boost::graph_traits<TriangleMesh>::face_descriptor f,
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*
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* @param tm1 the triangle mesh that will be sampled
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* @param tm2 the triangle mesh to compute the distance to
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* @param precision the number of points per squared area unit for the random sampling
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* @param precision the number of points per squared area unit returned by the random sampling
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* @param np1 optional sequence of \ref namedparameters for `tm1` among the ones listed below
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*
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* \cgalNamedParamsBegin
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