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最新推荐文章于 2025-04-07 22:20:05 发布

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最新推荐文章于 2025-04-07 22:20:05 发布

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文章标签： python 算法开发语言

本文链接：https://blog.youkuaiyun.com/qq_25147107/article/details/134932110

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文章介绍了如何使用PCL库中的PoissonReconstructon算法对3D点云进行表面重建，提供了参数设置和步骤示例，包括深度、解算器划分、等值面划分和点权重的控制。

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poisson_reconstruction的3D重建例程，效果还是不错的

#include <pcl/PCLPointCloud2.h>
#include <pcl/io/pcd_io.h>
#include <pcl/io/vtk_io.h>
#include <pcl/console/print.h>
#include <pcl/console/parse.h>
#include <pcl/console/time.h>
#include <pcl/surface/poisson.h>

using namespace pcl;
using namespace pcl::io;
using namespace pcl::console;

int default_depth = 8;
int default_solver_divide = 8;
int default_iso_divide = 8;
float default_point_weight = 4.0f;

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 ("                     -depth X          = set the maximum depth of the tree that will be used for surface reconstruction (default: ");
  print_value ("%d", default_depth); print_info (")\n");
  print_info ("                     -solver_divide X  = set the the depth at which a block Gauss-Seidel solver is used to solve the Laplacian equation (default: ");
  print_value ("%d", default_solver_divide); print_info (")\n");
  print_info ("                     -iso_divide X     = Set the depth at which a block iso-surface extractor should be used to extract the iso-surface (default: ");
  print_value ("%d", default_iso_divide); print_info (")\n");
  print_info ("                     -point_weight X   = Specifies the importance that interpolation of the point samples is given in the formulation of the screened Poisson equation. The results of the original (unscreened) Poisson Reconstruction can be obtained by setting this value to 0. (default: ");
  print_value ("%f", default_point_weight); 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 depth, int solver_divide, int iso_divide, float point_weight)
{
  PointCloud<PointNormal>::Ptr xyz_cloud (new pcl::PointCloud<PointNormal> ());
  fromPCLPointCloud2 (*input, *xyz_cloud);

  print_info ("Using parameters: depth %d, solverDivide %d, isoDivide %d\n", depth, solver_divide, iso_divide);

	Poisson<PointNormal> poisson;
	poisson.setDepth (depth);
	poisson.setSolverDivide (solver_divide);
	poisson.setIsoDivide (iso_divide);
  poisson.setPointWeight (point_weight);
  poisson.setInputCloud (xyz_cloud);

  TicToc tt;
  tt.tic ();
  print_highlight ("Computing ...");
  poisson.reconstruct (output);

  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 Poisson surface reconstruction (pcl::surface::Poisson). 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 depth = default_depth;
  parse_argument (argc, argv, "-depth", depth);
  print_info ("Using a depth of: "); print_value ("%d\n", depth);

  int solver_divide = default_solver_divide;
  parse_argument (argc, argv, "-solver_divide", solver_divide);
  print_info ("Setting solver_divide to: "); print_value ("%d\n", solver_divide);

  int iso_divide = default_iso_divide;
  parse_argument (argc, argv, "-iso_divide", iso_divide);
  print_info ("Setting iso_divide to: "); print_value ("%d\n", iso_divide);

  float point_weight = default_point_weight;
  parse_argument (argc, argv, "-point_weight", point_weight);
  print_info ("Setting point_weight to: "); print_value ("%f\n", point_weight);

  // Load the first file
  pcl::PCLPointCloud2::Ptr cloud (new pcl::PCLPointCloud2);
  if (!loadCloud (argv[pcd_file_indices[0]], *cloud))
    return (-1);

  // Apply the Poisson surface reconstruction algorithm
  PolygonMesh output;
  compute (cloud, output, depth, solver_divide, iso_divide, point_weight);

  // Save into the second file
  saveCloud (argv[vtk_file_indices[0]], output);
}