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#include <Eigen/Core>
#include <pcl/point_types.h>
#include <pcl/point_cloud.h>
#include <pcl/common/time.h>
#include <pcl/console/print.h>
#include <pcl/features/normal_3d_omp.h>
#include <pcl/features/fpfh_omp.h>
#include <pcl/filters/filter.h>
#include <pcl/filters/voxel_grid.h>
#include <pcl/io/pcd_io.h>
#include <pcl/registration/icp.h>
#include <pcl/registration/sample_consensus_prerejective.h>
#include <pcl/segmentation/sac_segmentation.h>
#include <pcl/visualization/pcl_visualizer.h>
// Types
typedef pcl::PointNormal PointNT;
typedef pcl::PointCloud<PointNT> PointCloudT;
typedef pcl::FPFHSignature33 FeatureT;
typedef pcl::FPFHEstimationOMP<PointNT,PointNT,FeatureT> FeatureEstimationT;
typedef pcl::PointCloud<FeatureT> FeatureCloudT;
typedef pcl::visualization::PointCloudColorHandlerCustom<PointNT> ColorHandlerT;
// Align a rigid object to a scene with clutter and occlusions
int
main (int argc, char **argv)
{
// Point clouds
PointCloudT::Ptr object (new PointCloudT);
PointCloudT::Ptr object_aligned (new PointCloudT);
PointCloudT::Ptr scene (new PointCloudT);
FeatureCloudT::Ptr object_features (new FeatureCloudT);
FeatureCloudT::Ptr scene_features (new FeatureCloudT);
// Get input object and scene
if (argc != 3)
{
pcl::console::print_error ("Syntax is: %s object.pcd scene.pcd\n", argv[0]);
return (1);
}
// Load object and scene
pcl::console::print_highlight ("Loading point clouds...\n");
if (pcl::io::loadPCDFile<PointNT> (argv[1], *object) < 0 ||
pcl::io::loadPCDFile<PointNT> (argv[2], *scene) < 0)
{
pcl::console::print_error ("Error loading object/scene file!\n");
return (1);
}
// Downsample
pcl::console::print_highlight ("Downsampling...\n");
pcl::VoxelGrid<PointNT> grid;
const float leaf = 0.005f;
grid.setLeafSize (leaf, leaf, leaf);
grid.setInputCloud (object);
grid.filter (*object);
grid.setInputCloud (scene);
grid.filter (*scene);
// Estimate normals for scene
pcl::console::print_highlight ("Estimating scene normals...\n");
pcl::NormalEstimationOMP<PointNT,PointNT> nest;
nest.setRadiusSearch (0.01);
nest.setInputCloud (scene);
nest.compute (*scene);
// Estimate features
pcl::console::print_highlight ("Estimating features...\n");
FeatureEstimationT fest;
fest.setRadiusSearch (0.025);
fest.setInputCloud (object);
fest.setInputNormals (object);
fest.compute (*object_features);
fest.setInputCloud (scene);
fest.setInputNormals (scene);
fest.compute (*scene_features);
// Perform alignment
pcl::console::print_highlight ("Starting alignment...\n");
pcl::SampleConsensusPrerejective<PointNT,PointNT,FeatureT> align;
align.setInputSource (object);
align.setSourceFeatures (object_features);
align.setInputTarget (scene);
align.setTargetFeatures (scene_features);
align.setMaximumIterations (50000); // Number of RANSAC iterations
align.setNumberOfSamples (3); // Number of points to sample for generating/prerejecting a pose
align.setCorrespondenceRandomness (5); // Number of nearest features to use
align.setSimilarityThreshold (0.9f); // Polygonal edge length similarity threshold
align.setMaxCorrespondenceDistance (2.5f * leaf); // Inlier threshold
align.setInlierFraction (0.25f); // Required inlier fraction for accepting a pose hypothesis
{
pcl::ScopeTime t("Alignment");
align.align (*object_aligned);
}
if (align.hasConverged ())
{
// Print results
printf ("\n");
Eigen::Matrix4f transformation = align.getFinalTransformation ();
pcl::console::print_info (" | %6.3f %6.3f %6.3f | \n", transformation (0,0), transformation (0,1), transformation (0,2));
pcl::console::print_info ("R = | %6.3f %6.3f %6.3f | \n", transformation (1,0), transformation (1,1), transformation (1,2));
pcl::console::print_info (" | %6.3f %6.3f %6.3f | \n", transformation (2,0), transformation (2,1), transformation (2,2));
pcl::console::print_info ("\n");
pcl::console::print_info ("t = < %0.3f, %0.3f, %0.3f >\n", transformation (0,3), transformation (1,3), transformation (2,3));
pcl::console::print_info ("\n");
pcl::console::print_info ("Inliers: %i/%i\n", align.getInliers ().size (), object->size ());
// Show alignment
pcl::visualization::PCLVisualizer visu("Alignment");
visu.addPointCloud (scene, ColorHandlerT (scene, 0.0, 255.0, 0.0), "scene");
visu.addPointCloud (object_aligned, ColorHandlerT (object_aligned, 0.0, 0.0, 255.0), "object_aligned");
visu.spin ();
}
else
{
pcl::console::print_error ("Alignment failed!\n");
return (1);
}
return (0);
}
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