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)