\( \newcommand{\E}{\mathrm{E}} \) \( \newcommand{\A}{\mathrm{A}} \) \( \newcommand{\R}{\mathrm{R}} \) \( \newcommand{\N}{\mathrm{N}} \) \( \newcommand{\Q}{\mathrm{Q}} \) \( \newcommand{\Z}{\mathrm{Z}} \) \( \def\ccSum #1#2#3{ \sum_{#1}^{#2}{#3} } \def\ccProd #1#2#3{ \sum_{#1}^{#2}{#3} }\)
CGAL 5.0.4 - Triangulated Surface Mesh Segmentation
Surface_mesh_segmentation/segmentation_from_sdf_values_example.cpp
#include <CGAL/Exact_predicates_inexact_constructions_kernel.h>
#include <CGAL/Polyhedron_3.h>
#include <CGAL/mesh_segmentation.h>
#include <CGAL/property_map.h>
#include <iostream>
#include <fstream>
typedef CGAL::Polyhedron_3<Kernel> Polyhedron;
typedef boost::graph_traits<Polyhedron>::face_descriptor face_descriptor;
int main()
{
// create and read Polyhedron
Polyhedron mesh;
std::ifstream input("data/cactus.off");
if ( !input || !(input >> mesh) || mesh.empty() || ( !CGAL::is_triangle_mesh(mesh))) {
std::cerr << "Input is not a triangle mesh." << std::endl;
return EXIT_FAILURE;
}
// create a property-map for SDF values
typedef std::map<face_descriptor, double> Facet_double_map;
Facet_double_map internal_sdf_map;
boost::associative_property_map<Facet_double_map> sdf_property_map(internal_sdf_map);
// compute SDF values using default parameters for number of rays, and cone angle
CGAL::sdf_values(mesh, sdf_property_map);
// create a property-map for segment-ids
typedef std::map<face_descriptor, std::size_t> Facet_int_map;
Facet_int_map internal_segment_map;
boost::associative_property_map<Facet_int_map> segment_property_map(internal_segment_map);
// segment the mesh using default parameters for number of levels, and smoothing lambda
// Any other scalar values can be used instead of using SDF values computed using the CGAL function
std::size_t number_of_segments = CGAL::segmentation_from_sdf_values(mesh, sdf_property_map, segment_property_map);
std::cout << "Number of segments: " << number_of_segments << std::endl;
// print segment-ids
for(face_descriptor f : faces(mesh)) {
// ids are between [0, number_of_segments -1]
std::cout << segment_property_map[f] << " ";
}
std::cout << std::endl;
const std::size_t number_of_clusters = 4; // use 4 clusters in soft clustering
const double smoothing_lambda = 0.3; // importance of surface features, suggested to be in-between [0,1]
// Note that we can use the same SDF values (sdf_property_map) over and over again for segmentation.
// This feature is relevant for segmenting the mesh several times with different parameters.
mesh, sdf_property_map, segment_property_map, number_of_clusters, smoothing_lambda);
return EXIT_SUCCESS;
}