CGAL 5.3.2 - Manual
Poisson_surface_reconstruction_3/tutorial_example.cpp
#include <CGAL/Exact_predicates_inexact_constructions_kernel.h>
#include <CGAL/Point_set_3.h>
#include <CGAL/Point_set_3/IO.h>
#include <CGAL/remove_outliers.h>
#include <CGAL/grid_simplify_point_set.h>
#include <CGAL/jet_smooth_point_set.h>
#include <CGAL/jet_estimate_normals.h>
#include <CGAL/mst_orient_normals.h>
#include <CGAL/poisson_surface_reconstruction.h>
#include <CGAL/Advancing_front_surface_reconstruction.h>
#include <CGAL/Scale_space_surface_reconstruction_3.h>
#include <CGAL/Scale_space_reconstruction_3/Jet_smoother.h>
#include <CGAL/Scale_space_reconstruction_3/Advancing_front_mesher.h>
#include <CGAL/Surface_mesh.h>
#include <CGAL/Polygon_mesh_processing/polygon_soup_to_polygon_mesh.h>
#include <cstdlib>
#include <vector>
#include <fstream>
// types
typedef Kernel::FT FT;
typedef Kernel::Point_3 Point_3;
typedef Kernel::Vector_3 Vector_3;
typedef Kernel::Sphere_3 Sphere_3;
int main(int argc, char*argv[])
{
Point_set points;
if (argc < 2)
{
std::cerr << "Usage: " << argv[0] << " [input.xyz/off/ply/las]" << std::endl;
return EXIT_FAILURE;
}
const char* input_file = argv[1];
std::ifstream stream (input_file, std::ios_base::binary);
if (!stream)
{
std::cerr << "Error: cannot read file " << input_file << std::endl;
return EXIT_FAILURE;
}
stream >> points;
std::cout << "Read " << points.size () << " point(s)" << std::endl;
if (points.empty())
return EXIT_FAILURE;
typename Point_set::iterator rout_it = CGAL::remove_outliers<CGAL::Sequential_tag>
(points,
24, // Number of neighbors considered for evaluation
points.parameters().threshold_percent (5.0)); // Percentage of points to remove
points.remove(rout_it, points.end());
std::cout << points.number_of_removed_points()
<< " point(s) are outliers." << std::endl;
// Applying point set processing algorithm to a CGAL::Point_set_3
// object does not erase the points from memory but place them in
// the garbage of the object: memory can be freeed by the user.
points.collect_garbage();
// Compute average spacing using neighborhood of 6 points
double spacing = CGAL::compute_average_spacing<CGAL::Sequential_tag> (points, 6);
// Simplify using a grid of size 2 * average spacing
typename Point_set::iterator gsim_it = CGAL::grid_simplify_point_set (points, 2. * spacing);
points.remove(gsim_it, points.end());
std::cout << points.number_of_removed_points()
<< " point(s) removed after simplification." << std::endl;
points.collect_garbage();
CGAL::jet_smooth_point_set<CGAL::Sequential_tag> (points, 24);
unsigned int reconstruction_choice
= (argc < 3 ? 0 : atoi(argv[2]));
if (reconstruction_choice == 0) // Poisson
{
CGAL::jet_estimate_normals<CGAL::Sequential_tag>
(points, 24); // Use 24 neighbors
// Orientation of normals, returns iterator to first unoriented point
typename Point_set::iterator unoriented_points_begin =
CGAL::mst_orient_normals(points, 24); // Use 24 neighbors
points.remove (unoriented_points_begin, points.end());
(points.begin(), points.end(),
points.point_map(), points.normal_map(),
output_mesh, spacing);
std::ofstream f ("out.ply", std::ios_base::binary);
CGAL::IO::write_PLY(f, output_mesh);
f.close ();
}
else if (reconstruction_choice == 1) // Advancing front
{
typedef std::array<std::size_t, 3> Facet; // Triple of indices
std::vector<Facet> facets;
// The function is called using directly the points raw iterators
points.points().end(),
std::back_inserter(facets));
std::cout << facets.size ()
<< " facet(s) generated by reconstruction." << std::endl;
// copy points for random access
std::vector<Point_3> vertices;
vertices.reserve (points.size());
std::copy (points.points().begin(), points.points().end(), std::back_inserter (vertices));
std::ofstream f ("out.off");
f << output_mesh;
f.close ();
}
else if (reconstruction_choice == 2) // Scale space
{
(points.points().begin(), points.points().end());
// Smooth using 4 iterations of Jet Smoothing
// Mesh with the Advancing Front mesher with a maximum facet length of 0.5
std::ofstream f ("out.off");
f << "OFF" << std::endl << points.size () << " "
<< reconstruct.number_of_facets() << " 0" << std::endl;
for (Point_set::Index idx : points)
f << points.point (idx) << std::endl;
for (const auto& facet : CGAL::make_range (reconstruct.facets_begin(), reconstruct.facets_end()))
f << "3 "<< facet << std::endl;
f.close ();
}
else // Handle error
{
std::cerr << "Error: invalid reconstruction id: " << reconstruction_choice << std::endl;
return EXIT_FAILURE;
}
return EXIT_SUCCESS;
}