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improve Poisson

This commit is contained in:
Andreas Fabri 2012-12-27 21:21:58 +01:00
parent 0ee845a9cc
commit a56f3989ec
3 changed files with 9 additions and 9 deletions
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8
Surface_reconstruction_points_3/doc/Surface_reconstruction_points_3/Surface_reconstruction_points_3.txt
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@ -129,7 +129,7 @@ not matched.
\subsection Surface_reconstruction_points_3IdealConditions Ideal Conditions
The user must keep in mind that the poisson surface reconstruction
The user must keep in mind that the Poisson surface reconstruction
algorithm comprises two phases (computing the implicit function from
the input point set and contouring an iso-surface of this
function). Both require some care in terms of sampling conditions and
@ -142,7 +142,7 @@ reconstruction method expects a dense 3D oriented point set (typically
matching the epsilon-sampling condition \cite cgal:bo-pgsms-05) and
sampled over a closed, smooth surface. Oriented herein means that all
3D points must come with consistently oriented normals to the inferred
surface. Figure \cgalFigureRef{Surface_reconstruction_points_3figbimba} and \cgalFigureRef{Surface_reconstruction_points_3figeros}
surface. \cgalFigureRef{Surface_reconstruction_points_3figbimba} and \cgalFigureRef{Surface_reconstruction_points_3figeros}
illustrate cases where these ideal conditions are met.
\cgalFigureBegin{Surface_reconstruction_points_3figbimba,bimba.jpg}
@ -315,7 +315,7 @@ processor clocked at 2.81 GHz and with 8 GB of RAM. The software is compiled wit
with the 03 option which maximizes speed. All measurements were done using the \ref thirdpartyEigen "Eigen" library.
\subsection SurfReconstPerfPIF Poisson implicit function
\subsection SurfReconstPerfPIF Poisson Implicit Function
The point set chosen for benchmarking the Poisson implicit function is the Bimba con Nastrino point set
(1.6 million points) depicted by \cgalFigureRef{Surface_reconstruction_points_3-fig-contouring_bench}.
@ -372,7 +372,7 @@ Poisson solve duration (in s)
\subsection SurfReconstPerfCont Contouring
The point set chosen for benchmarking the contouring stage is the Bimba con Nastrino point
set simplified to 100k points. We measure the contouring (i.e. the call to `CGAL::make_surface_mesh()`)
set simplified to 100k points. We measure the contouring (i.e. the call to `make_surface_mesh()`)
duration and the reconstruction error for a range of approximation distances.
The reconstruction error is expressed as the average distance from input points to the reconstructed surface
in mm (the Bimba con Nastrino statue is 324 mm tall).

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Surface_reconstruction_points_3/doc/Surface_reconstruction_points_3/fig/two-passes.png Normal file → Executable file
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10
Surface_reconstruction_points_3/include/CGAL/Poisson_reconstruction_function.h
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@ -180,10 +180,10 @@ public:
typedef typename Triangulation::Cell_handle Cell_handle;
// Geometric types
typedef typename Geom_traits::FT FT; ///< typedef to Geom_traits::FT
typedef typename Geom_traits::Point_3 Point; ///< typedef to Geom_traits::Point_3
typedef typename Geom_traits::Vector_3 Vector; ///< typedef to Geom_traits::Vector_3
typedef typename Geom_traits::Sphere_3 Sphere; ///< typedef to Geom_traits::Sphere_3
typedef typename Geom_traits::FT FT; ///< number type.
typedef typename Geom_traits::Point_3 Point; ///< point type.
typedef typename Geom_traits::Vector_3 Vector; ///< vector type.
typedef typename Geom_traits::Sphere_3 Sphere;
/// @}
@ -277,7 +277,7 @@ public:
/*!
Creates a Poisson implicit function from the [first, beyond) range of points.
Creates a Poisson implicit function from the range of points `[first, beyond)`.
\tparam InputIterator iterator over input points.