mirror of https://github.com/CGAL/cgal
114 lines
4.0 KiB
C++
114 lines
4.0 KiB
C++
#include "include/utils.h"
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#include "include/Saver.h"
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#include <CGAL/Eigen_diagonalize_traits.h>
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#include <CGAL/linear_least_squares_fitting_2.h>
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#include <CGAL/Exact_predicates_inexact_constructions_kernel.h>
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#include <CGAL/Shape_regularization/regularize_segments.h>
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// Typedefs.
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using Kernel = CGAL::Exact_predicates_inexact_constructions_kernel;
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using FT = typename Kernel::FT;
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using Point_2 = typename Kernel::Point_2;
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using Segment_2 = typename Kernel::Segment_2;
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using Line_2 = typename Kernel::Line_2;
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using Points_2 = std::vector<Point_2>;
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using Indices = std::vector<std::size_t>;
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using Segments = std::vector<Segment_2>;
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using Neighbor_query =
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CGAL::Shape_regularization::Segments::Delaunay_neighbor_query_2<Kernel, Segments>;
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using Angle_regularization =
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CGAL::Shape_regularization::Segments::Angle_regularization_2<Kernel, Segments>;
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using Offset_regularization =
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CGAL::Shape_regularization::Segments::Offset_regularization_2<Kernel, Segments>;
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int main(int argc, char *argv[]) {
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// If we want to load a different file, we load it from a path.
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// Each point comes with the index of the corresponding group.
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// The file format: x y z i, where i is the group index. The points
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// are 2D hence z = 0. Each group contains points, which form
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// an approximate line.
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std::string path = "data/real_data_2.xyzi";
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if (argc > 1) path = argv[1];
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Saver<Kernel> saver;
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// Initialize input groups with points.
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std::vector<Points_2> groups;
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initialize_groups(path, groups);
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// Fit a line to each group of points.
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Line_2 line; Point_2 centroid;
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std::vector<Line_2> lines;
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lines.reserve(groups.size());
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for (const auto& group : groups) {
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CGAL::linear_least_squares_fitting_2(
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group.begin(), group.end(), line, centroid, CGAL::Dimension_tag<0>(),
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Kernel(), CGAL::Eigen_diagonalize_traits<FT, 2>());
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lines.push_back(line);
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}
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// Cut each line at the ends of the corresponding group.
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std::vector<Segment_2> segments;
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segments.reserve(lines.size());
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Point_2 source, target;
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for (std::size_t i = 0; i < lines.size(); ++i) {
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boundary_points_on_line_2(
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groups[i], lines[i], source, target);
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segments.push_back(Segment_2(source, target));
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}
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// Save input segments.
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if (argc > 2) {
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const std::string full_path = std::string(argv[2]) + "regularize_real_data_2_before";
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saver.export_eps_segments(segments, full_path, FT(3) / FT(2));
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}
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// Angle regularization.
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const FT max_angle_2 = FT(80);
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// Create neighbor query and angle-based regularization model.
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Neighbor_query neighbor_query(segments);
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Angle_regularization angle_regularization(
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segments, CGAL::parameters::maximum_angle(max_angle_2));
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// Regularize.
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CGAL::Shape_regularization::Segments::regularize_segments(
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segments, neighbor_query, angle_regularization);
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std::cout << "* number of modified segments (angles) = " <<
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angle_regularization.number_of_modified_segments() << std::endl;
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// Offset regularization.
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const FT max_offset_2 = FT(2);
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// Get groups of parallel segments after angle regularization.
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std::vector<Indices> pgroups;
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angle_regularization.parallel_groups(
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std::back_inserter(pgroups));
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// Create offset-based regularization model.
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Offset_regularization offset_regularization(
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segments, CGAL::parameters::maximum_offset(max_offset_2));
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// Add each group of parallel segments with at least 2 segments.
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neighbor_query.clear();
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for (const auto& pgroup : pgroups) {
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neighbor_query.add_group(pgroup);
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offset_regularization.add_group(pgroup);
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}
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// Regularize.
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CGAL::Shape_regularization::Segments::regularize_segments(
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segments, neighbor_query, offset_regularization);
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std::cout << "* number of modified segments (offsets) = " <<
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offset_regularization.number_of_modified_segments() << std::endl;
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// Save regularized segments.
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if (argc > 2) {
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const std::string full_path = std::string(argv[2]) + "regularize_real_data_2_after";
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saver.export_eps_segments(segments, full_path, FT(3) / FT(2));
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}
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}
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