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main.cpp
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#include <iostream>
#include "ICP.h"
#include "io_pc.h"
#include "FRICP.h"
int main(int argc, char const ** argv)
{
typedef double Scalar;
typedef Eigen::Matrix<Scalar, 3, Eigen::Dynamic> Vertices;
typedef Eigen::Matrix<Scalar, 3, 1> VectorN;
std::string file_source;
std::string file_target;
std::string file_init = "./data/";
std::string res_trans_path;
std::string out_path;
bool use_init = false;
MatrixXX res_trans;
enum Method{ICP, AA_ICP, FICP, RICP, PPL, RPPL, SparseICP, SICPPPL} method=RICP;
if(argc == 5)
{
file_target = argv[1];
file_source = argv[2];
out_path = argv[3];
method = Method(std::stoi(argv[4]));
}
else if(argc==4)
{
file_target = argv[1];
file_source = argv[2];
out_path = argv[3];
}
else
{
std::cout << "Usage: target.ply source.ply out_path <Method>" << std::endl;
std::cout << "Method :\n"
<< "0: ICP\n1: AA-ICP\n2: Our Fast ICP\n3: Our Robust ICP\n4: ICP Point-to-plane\n"
<< "5: Our Robust ICP point to plane\n6: Sparse ICP\n7: Sparse ICP point to plane" << std::endl;
exit(0);
}
int dim = 3;
//--- Model that will be rigidly transformed
Vertices vertices_source, normal_source, src_vert_colors;
read_file(vertices_source, normal_source, src_vert_colors, file_source);
std::cout << "source: " << vertices_source.rows() << "x" << vertices_source.cols() << std::endl;
//--- Model that source will be aligned to
Vertices vertices_target, normal_target, tar_vert_colors;
read_file(vertices_target, normal_target, tar_vert_colors, file_target);
std::cout << "target: " << vertices_target.rows() << "x" << vertices_target.cols() << std::endl;
// scaling
Eigen::Vector3d source_scale, target_scale;
source_scale = vertices_source.rowwise().maxCoeff() - vertices_source.rowwise().minCoeff();
target_scale = vertices_target.rowwise().maxCoeff() - vertices_target.rowwise().minCoeff();
double scale = std::max(source_scale.norm(), target_scale.norm());
std::cout << "scale = " << scale << std::endl;
vertices_source /= scale;
vertices_target /= scale;
/// De-mean
VectorN source_mean, target_mean;
source_mean = vertices_source.rowwise().sum() / double(vertices_source.cols());
target_mean = vertices_target.rowwise().sum() / double(vertices_target.cols());
vertices_source.colwise() -= source_mean;
vertices_target.colwise() -= target_mean;
double time;
// set ICP parameters
ICP::Parameters pars;
// set Sparse-ICP parameters
SICP::Parameters spars;
spars.p = 0.4;
spars.print_icpn = false;
/// Initial transformation
if(use_init)
{
MatrixXX init_trans;
read_transMat(init_trans, file_init);
init_trans.block(0, dim, dim, 1) /= scale;
init_trans.block(0,3,3,1) += init_trans.block(0,0,3,3)*source_mean - target_mean;
pars.use_init = true;
pars.init_trans = init_trans;
spars.init_trans = init_trans;
}
///--- Execute registration
std::cout << "begin registration..." << std::endl;
FRICP<3> fricp;
double begin_reg = omp_get_wtime();
double converge_rmse = 0;
switch(method)
{
case ICP:
{
pars.f = ICP::NONE;
pars.use_AA = false;
fricp.point_to_point(vertices_source, vertices_target, source_mean, target_mean, pars);
res_trans = pars.res_trans;
break;
}
case AA_ICP:
{
AAICP::point_to_point_aaicp(vertices_source, vertices_target, source_mean, target_mean, pars);
res_trans = pars.res_trans;
break;
}
case FICP:
{
pars.f = ICP::NONE;
pars.use_AA = true;
fricp.point_to_point(vertices_source, vertices_target, source_mean, target_mean, pars);
res_trans = pars.res_trans;
break;
}
case RICP:
{
pars.f = ICP::WELSCH;
pars.use_AA = true;
fricp.point_to_point(vertices_source, vertices_target, source_mean, target_mean, pars);
res_trans = pars.res_trans;
break;
}
case PPL:
{
pars.f = ICP::NONE;
pars.use_AA = false;
if(normal_target.size()==0)
{
std::cout << "Warning! The target model without normals can't run Point-to-plane method!" << std::endl;
exit(0);
}
fricp.point_to_plane(vertices_source, vertices_target, normal_source, normal_target, source_mean, target_mean, pars);
res_trans = pars.res_trans;
break;
}
case RPPL:
{
pars.nu_end_k = 1.0/6;
pars.f = ICP::WELSCH;
pars.use_AA = true;
if(normal_target.size()==0)
{
std::cout << "Warning! The target model without normals can't run Point-to-plane method!" << std::endl;
exit(0);
}
fricp.point_to_plane_GN(vertices_source, vertices_target, normal_source, normal_target, source_mean, target_mean, pars);
res_trans = pars.res_trans;
break;
}
case SparseICP:
{
SICP::point_to_point(vertices_source, vertices_target, source_mean, target_mean, spars);
res_trans = spars.res_trans;
break;
}
case SICPPPL:
{
if(normal_target.size()==0)
{
std::cout << "Warning! The target model without normals can't run Point-to-plane method!" << std::endl;
exit(0);
}
SICP::point_to_plane(vertices_source, vertices_target, normal_target, source_mean, target_mean, spars);
res_trans = spars.res_trans;
break;
}
}
std::cout << "Registration done!" << std::endl;
double end_reg = omp_get_wtime();
time = end_reg - begin_reg;
vertices_source = scale * vertices_source;
out_path = out_path + "m" + std::to_string(method);
Eigen::Affine3d res_T;
res_T.linear() = res_trans.block(0,0,3,3);
res_T.translation() = res_trans.block(0,3,3,1);
res_trans_path = out_path + "trans.txt";
std::ofstream out_trans(res_trans_path);
res_trans.block(0,3,3,1) *= scale;
out_trans << res_trans << std::endl;
out_trans.close();
///--- Write result to file
std::string file_source_reg = out_path + "reg_pc.ply";
write_file(file_source, vertices_source, normal_source, src_vert_colors, file_source_reg);
return 0;
}