\( \newcommand{\E}{\mathrm{E}} \) \( \newcommand{\A}{\mathrm{A}} \) \( \newcommand{\R}{\mathrm{R}} \) \( \newcommand{\N}{\mathrm{N}} \) \( \newcommand{\Q}{\mathrm{Q}} \) \( \newcommand{\Z}{\mathrm{Z}} \) \( \def\ccSum #1#2#3{ \sum_{#1}^{#2}{#3} } \def\ccProd #1#2#3{ \sum_{#1}^{#2}{#3} }\)

CGAL 4.8 - Estimation of Local Differential Properties of Point-Sampled Surfaces

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Jet_fitting_3/Single_estimation.cpp
#include <CGAL/Simple_cartesian.h>
#include <CGAL/Monge_via_jet_fitting.h>
#include <fstream>
#include <vector>
typedef double DFT;
typedef CGAL::Simple_cartesian<DFT> Data_Kernel;
typedef Data_Kernel::Point_3 DPoint;
typedef CGAL::Monge_via_jet_fitting<Data_Kernel> My_Monge_via_jet_fitting;
typedef My_Monge_via_jet_fitting::Monge_form My_Monge_form;
int main(int argc, char *argv[])
{
size_t d_fitting = 4;
size_t d_monge = 4;
const char* name_file_in = "data/in_points_d4.txt";
//check command line
if (argc<4)
{
std::cout << " Usage : " << argv[0]
<< " <inputPoints.txt> <d_fitting> <d_monge>" << std::endl
<< "test with default arguments" << std::endl;
}
else {
name_file_in = argv[1];
d_fitting = std::atoi(argv[2]);
d_monge = std::atoi(argv[3]);
}
//open the input file
std::ifstream inFile(name_file_in);
if ( !inFile )
{
std::cerr << "cannot open file for input\n";
exit(-1);
}
//initalize the in_points container
double x, y, z;
std::vector<DPoint> in_points;
while (inFile >> x) {
inFile >> y >> z;
DPoint p(x,y,z);
in_points.push_back(p);
}
inFile.close();
// fct parameters
My_Monge_form monge_form;
My_Monge_via_jet_fitting monge_fit;
monge_form = monge_fit(in_points.begin(), in_points.end(), d_fitting, d_monge);
//OUTPUT on std::cout
CGAL::set_pretty_mode(std::cout);
std::cout << "vertex : " << in_points[0] << std::endl
<< "number of points used : " << in_points.size() << std::endl
<< monge_form;
std::cout << "condition_number : " << monge_fit.condition_number() << std::endl
<< "pca_eigen_vals and associated pca_eigen_vecs :" << std::endl;
for (int i=0; i<3; i++)
std::cout << monge_fit.pca_basis(i).first << std::endl
<< monge_fit.pca_basis(i).second << std::endl;
return 0;
}