介绍:MC
代码如下:
#include <pcl/PCLPointCloud2.h>
#include <pcl/io/pcd_io.h>
#include <pcl/io/vtk_io.h>
#include <pcl/surface/marching_cubes_hoppe.h>
#include <pcl/surface/marching_cubes_rbf.h>
#include<pcl\features\normal_3d.h>
#include <pcl/console/print.h>
#include <pcl/console/parse.h>
#include <pcl/console/time.h>
using namespace pcl;
using namespace pcl::io;
using namespace pcl::console;
float default_iso_level = 0.0f;
int default_hoppe_or_rbf = 0;
float default_extend_percentage = 0.0f;
int default_grid_res = 50;
float default_off_surface_displacement = 0.01f;
void
printHelp (int, char **argv)
{
print_error ("Syntax is: %s input.pcd output.vtk <options>\n", argv[0]);
print_info (" where options are:\n");
print_info (" -grid_res X = the resolution of the grid (cubic grid) (default: ");
print_value ("%d", default_grid_res); print_info (")\n");
print_info (" -iso_level X = the iso level of the surface to be extracted (default: ");
print_value ("%f", default_iso_level); print_info (")\n");
print_info (" -hoppe X = use the Hoppe signed distance function (MarchingCubesHoppe\n");
print_info (" -rbf X = use the RBF signed distance function (MarchingCubesRBF\n");
print_info (" -extend X = the percentage of the bounding box to extend the grid by (default: ");
print_value ("%f", default_extend_percentage); print_info (")\n");
print_info (" -displacement X = the displacement value for the off-surface points (only for RBF) (default: ");
print_value ("%f", default_off_surface_displacement); print_info (")\n");
}
bool
loadCloud (const std::string &filename, pcl::PCLPointCloud2 &cloud)
{
TicToc tt;
print_highlight ("Loading "); print_value ("%s ", filename.c_str ());
tt.tic ();
if (loadPCDFile (filename, cloud) < 0)
return (false);
print_info ("[done, "); print_value ("%g", tt.toc ()); print_info (" ms : "); print_value ("%d", cloud.width * cloud.height); print_info (" points]\n");
print_info ("Available dimensions: "); print_value ("%s\n", pcl::getFieldsList (cloud).c_str ());
return (true);
}
void
compute (const pcl::PCLPointCloud2::ConstPtr &input, PolygonMesh &output,
int hoppe_or_rbf, float iso_level, int grid_res, float extend_percentage, float off_surface_displacement)
{
PointCloud<pcl::PointXYZ>::Ptr cloud (new pcl::PointCloud<pcl::PointXYZ> ());
fromPCLPointCloud2 (*input, *cloud);
pcl::NormalEstimation<pcl::PointXYZ, pcl::Normal> ne;
pcl::search::KdTree<pcl::PointXYZ>::Ptr tree(new pcl::search::KdTree<pcl::PointXYZ>);
tree->setInputCloud(cloud);
ne.setInputCloud(cloud);
ne.setRadiusSearch(0.02);
ne.setSearchMethod(tree);
pcl::PointCloud<pcl::Normal>::Ptr normals(new pcl::PointCloud<pcl::Normal>);
ne.compute(*normals);
pcl::PointCloud<pcl::PointNormal>::Ptr xyz_cloud(new pcl::PointCloud<pcl::PointNormal>);
pcl::concatenateFields(*cloud, *normals, *xyz_cloud);
MarchingCubes<PointNormal> *mc;
if (hoppe_or_rbf == 0)
mc = new MarchingCubesHoppe<PointNormal> ();
else
{
mc = new MarchingCubesRBF<PointNormal> ();
(reinterpret_cast<MarchingCubesRBF<PointNormal>*> (mc))->setOffSurfaceDisplacement (off_surface_displacement);
}
mc->setIsoLevel (iso_level);
mc->setGridResolution (grid_res, grid_res, grid_res);
mc->setPercentageExtendGrid (extend_percentage);
mc->setInputCloud (xyz_cloud);
TicToc tt;
tt.tic ();
print_highlight ("Computing ");
mc->reconstruct (output);
delete mc;
print_info ("[done, "); print_value ("%g", tt.toc ()); print_info (" ms]\n");
}
void
saveCloud (const std::string &filename, const PolygonMesh &output)
{
TicToc tt;
tt.tic ();
print_highlight ("Saving "); print_value ("%s ", filename.c_str ());
saveVTKFile (filename, output);
print_info ("[done, "); print_value ("%g", tt.toc ()); print_info (" ms]\n");
}
/* ---[ */
int
main (int argc, char** argv)
{
print_info ("Compute the surface reconstruction of a point cloud using the marching cubes algorithm (pcl::surface::MarchingCubesHoppe or pcl::surface::MarchingCubesRBF. For more information, use: %s -h\n", argv[0]);
if (argc < 3)
{
printHelp (argc, argv);
return (-1);
}
// Parse the command line arguments for .pcd files
std::vector<int> pcd_file_indices;
pcd_file_indices = parse_file_extension_argument (argc, argv, ".pcd");
if (pcd_file_indices.size () != 1)
{
print_error ("Need one input PCD file and one output VTK file to continue.\n");
return (-1);
}
std::vector<int> vtk_file_indices = parse_file_extension_argument (argc, argv, ".vtk");
if (vtk_file_indices.size () != 1)
{
print_error ("Need one output VTK file to continue.\n");
return (-1);
}
// Command line parsing
int hoppe_or_rbf = default_hoppe_or_rbf;
bool ok = false;
parse_argument (argc, argv, "-hoppe", ok);
if (ok)
{
hoppe_or_rbf = 0;
print_info ("Selected algorithm: MarchingCubesHoppe\n");
}
ok = false;
parse_argument (argc, argv, "-rbf", ok);
if (ok)
{
hoppe_or_rbf = 1;
print_info ("Selected algorithm: MarchingCubesRBF\n");
}
float iso_level = default_iso_level;
parse_argument (argc, argv, "-iso_level", iso_level);
print_info ("Setting an iso level of: "); print_value ("%f\n", iso_level);
int grid_res = default_grid_res;
parse_argument (argc, argv, "-grid_res", grid_res);
print_info ("Setting a cubic grid resolution of: "); print_value ("%d\n", grid_res);
float extend_percentage = default_extend_percentage;
parse_argument (argc, argv, "-extend", extend_percentage);
print_info ("Setting an extend percentage of: "); print_value ("%f\n", extend_percentage);
float off_surface_displacement = default_off_surface_displacement;
parse_argument (argc, argv, "-displacement", off_surface_displacement);
print_info ("Setting an off-surface displacement of: "); print_value ("%f\n", off_surface_displacement);
// Load the first file
pcl::PCLPointCloud2::Ptr cloud (new pcl::PCLPointCloud2);
if (!loadCloud (argv[pcd_file_indices[0]], *cloud))
return (-1);
// Apply the marching cubes algorithm
PolygonMesh output;
compute (cloud, output, hoppe_or_rbf, iso_level, grid_res, extend_percentage, off_surface_displacement);
// Save into the second file
saveCloud (argv[vtk_file_indices[0]], output);
}
来源:PCL官方示例