Point_set_processing_3/registration_with_pointmatcher.cpp

#include <CGAL/Simple_cartesian.h>

#include <CGAL/IO/read_points.h>
#include <CGAL/IO/write_points.h>
#include <CGAL/property_map.h>
#include <CGAL/Aff_transformation_3.h>
#include <CGAL/aff_transformation_tags.h>

#include <CGAL/pointmatcher/compute_registration_transformation.h>
#include <CGAL/pointmatcher/register_point_sets.h>

#include <fstream>
#include <iostream>
#include <utility>
#include <vector>

typedef CGAL::Simple_cartesian<double> K;
typedef K::Point_3 Point_3;
typedef K::Vector_3 Vector_3;
typedef std::pair<Point_3, Vector_3> Pwn;
typedef CGAL::First_of_pair_property_map<Pwn> Point_map;
typedef CGAL::Second_of_pair_property_map<Pwn> Normal_map;

namespace params = CGAL::parameters;

int main(int argc, const char** argv)
{
  const char* fname1 = (argc>1)?argv[1]:"data/hippo1.ply";
  const char* fname2 = (argc>2)?argv[2]:"data/hippo2.ply";

  std::vector<Pwn> pwns1, pwns2;
  if(!CGAL::IO::read_points(fname1, std::back_inserter(pwns1),
                            CGAL::parameters::point_map(CGAL::First_of_pair_property_map<Pwn>())
                                             .normal_map(Normal_map())))
  {
    std::cerr << "Error: cannot read file " << fname1 << std::endl;
    return EXIT_FAILURE;
  }

  if(!CGAL::IO::read_points(fname2, std::back_inserter(pwns2),
                            CGAL::parameters::point_map(Point_map())
                                             .normal_map(Normal_map())))
  {
    std::cerr << "Error: cannot read file " << fname2 << std::endl;
    return EXIT_FAILURE;
  }

  //
  // Prepare ICP config
  //
  using CGAL::pointmatcher::ICP_config;

  // Possible config modules/components: https://libpointmatcher.readthedocs.io/en/latest/Configuration/#configuration-of-an-icp-chain
  // See documentation of optional named parameters for CGAL PM ICP configuration / pointmatcher config module mapping

  // Prepare point set 1 filters (PM::ReferenceDataPointsFilters)
  std::vector<ICP_config> point_set_1_filters;
  point_set_1_filters.push_back( ICP_config { /*.name=*/"MinDistDataPointsFilter"       , /*.params=*/{ {"minDist", "0.5" }}  } );
  point_set_1_filters.push_back( ICP_config { /*.name=*/"RandomSamplingDataPointsFilter", /*.params=*/{ {"prob"   , "0.05"}}  } );

  // Prepare point set 2 filters (PM::ReadingDataPointsFilters)
  std::vector<ICP_config> point_set_2_filters;
  point_set_2_filters.push_back( ICP_config { /*.name=*/"MinDistDataPointsFilter"       , /*.params=*/{ {"minDist", "0.5" }}  } );
  point_set_2_filters.push_back( ICP_config { /*.name=*/"RandomSamplingDataPointsFilter", /*.params=*/{ {"prob"   , "0.05"}}  } );

        // Prepare matcher function
  ICP_config matcher { /*.name=*/"KDTreeMatcher", /*.params=*/{ {"knn", "1"}, {"epsilon", "3.16"} } };

  // Prepare outlier filters
  std::vector<ICP_config> outlier_filters;
  outlier_filters.push_back( ICP_config { /*.name=*/"TrimmedDistOutlierFilter", /*.params=*/{ {"ratio", "0.75" }}  } );

  // Prepare error minimizer
  ICP_config error_minimizer { /*.name=*/"PointToPointErrorMinimizer"};

  // Prepare transformation checker
  std::vector<ICP_config> transformation_checkers;
  transformation_checkers.push_back( ICP_config { /*.name=*/"CounterTransformationChecker", /*.params=*/{ {"maxIterationCount", "150" }}  } );
  transformation_checkers.push_back( ICP_config { /*.name=*/"DifferentialTransformationChecker", /*.params=*/{ {"minDiffRotErr"  , "0.001" },
                                                                                                       {"minDiffTransErr", "0.01"  },
                                                                                                       {"smoothLength"   , "4"     } }
                                                } );
  // Prepare inspector
  ICP_config inspector { /*.name=*/"NullInspector" };

  // Prepare logger
  ICP_config logger { /*.name=*/"FileLogger" };

  const K::Aff_transformation_3 identity_transform = K::Aff_transformation_3(CGAL::Identity_transformation());

  // EITHER call the ICP registration method pointmatcher to get the transformation to apply to pwns2
  std::pair<K::Aff_transformation_3, bool> res =
    CGAL::pointmatcher::compute_registration_transformation
      (pwns1, pwns2,
       params::point_map(Point_map()).normal_map(Normal_map())
                                     .point_set_filters(point_set_1_filters)
                                     .matcher(matcher)
                                     .outlier_filters(outlier_filters)
                                     .error_minimizer(error_minimizer)
                                     .transformation_checkers(transformation_checkers)
                                     .inspector(inspector)
                                     .logger(logger),
       params::point_map(Point_map()).normal_map(Normal_map())
                                     .point_set_filters(point_set_2_filters)
                                     .transformation(identity_transform) /* initial transform for pwns2.
                                                                          * default value is already identity transform.
                                                                          * a proper initial transform could be given, for example,
                                                                          * a transform returned from a coarse registration algorithm.
                                                                          * */
       );

  bool converged = false;
  do
  {
    // OR call the ICP registration method from pointmatcher and apply the transformation to pwn2
    converged =
      CGAL::pointmatcher::register_point_sets
      (pwns1, pwns2,
       params::point_map(Point_map()).normal_map(Normal_map())
       .point_set_filters(point_set_1_filters)
       .matcher(matcher)
       .outlier_filters(outlier_filters)
       .error_minimizer(error_minimizer)
       .transformation_checkers(transformation_checkers)
       .inspector(inspector)
       .logger(logger),
       params::point_map(Point_map()).normal_map(Normal_map())
       .point_set_filters(point_set_2_filters)
       .transformation(res.first) /* pass the above computed transformation as initial transformation.
                                   * as a result, the registration will require less iterations to converge.
                                   * */
        );

    // Algorithm may randomly not converge, repeat until it does
    if (converged)
      std::cerr << "Success" << std::endl;
    else
      std::cerr << "Did not converge, try again" << std::endl;
  }
  while (!converged);

  if(!CGAL::IO::write_points("pwns2_aligned.ply", pwns2,
                             CGAL::parameters::point_map(Point_map()).normal_map(Normal_map())))
    return EXIT_FAILURE;

  std::cout << "Transformed version of " << fname2 << " written to pwn2_aligned.ply.\n";

  return EXIT_SUCCESS;
}