diff --git a/Poisson_surface_reconstruction_3/doc/Poisson_surface_reconstruction_3/Poisson_surface_reconstruction_3.txt b/Poisson_surface_reconstruction_3/doc/Poisson_surface_reconstruction_3/Poisson_surface_reconstruction_3.txt index 1ba028b1db2..f878e04d7f1 100644 --- a/Poisson_surface_reconstruction_3/doc/Poisson_surface_reconstruction_3/Poisson_surface_reconstruction_3.txt +++ b/Poisson_surface_reconstruction_3/doc/Poisson_surface_reconstruction_3/Poisson_surface_reconstruction_3.txt @@ -134,7 +134,7 @@ The parameter `Tag` affects the behavior of `make_surface_mesh()`: \subsection Poisson_surface_reconstruction_3Output Output -The surface reconstructed by `make_mesh_3()` is required to be a model of the concept +The surface reconstructed by `make_mesh_3()` is required to be a model of the concept `MeshComplex_3InTriangulation_3`, a data structure devised to represent a three dimensional complex embedded into a three dimensional triangulation. The surface facets can then be extracted into a face graph by `facets_in_complex_3_to_triangle_mesh()`. The surface reconstructed by `make_surface_mesh()` instead is required to be a @@ -350,8 +350,8 @@ with the 03 option which maximizes speed. All measurements were done using the \subsection SurfReconstPerfPIF Poisson Implicit Function -The point set chosen for benchmarking the Poisson implicit function is the Lucy statue point set from the -The Stanford 3D Scanning Repository +The point set chosen for benchmarking the Poisson implicit function is the Lucy statue point set from the +The Stanford 3D Scanning Repository (originally 14 million points, here downscaled to 2.9 million points) depicted by \cgalFigureRef{Poisson_surface_reconstruction_3-fig-contouring_bench}. We measure the Poisson implicit function computation (i.e., the call to `Poisson_reconstruction_function::compute_implicit_function()` denoted by Poisson solve hereafter)