test_ear_clipping.cpp
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00001 /*
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00036  * $Id: test_surface.cpp 6579 2012-07-27 18:57:32Z rusu $
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00038  */
00039 
00040 #include <gtest/gtest.h>
00041 
00042 #include <pcl/point_types.h>
00043 #include <pcl/io/pcd_io.h>
00044 #include <pcl/io/vtk_io.h>
00045 #include <pcl/features/normal_3d.h>
00046 #include <pcl/surface/ear_clipping.h>
00047 #include <pcl/common/common.h>
00048 
00049 using namespace pcl;
00050 using namespace pcl::io;
00051 using namespace std;
00052 
00053 PointCloud<PointXYZ>::Ptr cloud (new PointCloud<PointXYZ>);
00054 PointCloud<PointNormal>::Ptr cloud_with_normals (new PointCloud<PointNormal>);
00055 search::KdTree<PointXYZ>::Ptr tree;
00056 search::KdTree<PointNormal>::Ptr tree2;
00057 
00058 // add by ktran to test update functions
00059 PointCloud<PointXYZ>::Ptr cloud1 (new PointCloud<PointXYZ>);
00060 PointCloud<PointNormal>::Ptr cloud_with_normals1 (new PointCloud<PointNormal>);
00061 search::KdTree<PointXYZ>::Ptr tree3;
00062 search::KdTree<PointNormal>::Ptr tree4;
00063 
00065 TEST (PCL, EarClipping)
00066 {
00067   PointCloud<PointXYZ>::Ptr cloud (new PointCloud<PointXYZ>());
00068   cloud->height = 1;
00069   cloud->points.push_back (PointXYZ ( 0.f, 0.f, 0.5f));
00070   cloud->points.push_back (PointXYZ ( 5.f, 0.f, 0.6f));
00071   cloud->points.push_back (PointXYZ ( 9.f, 4.f, 0.5f));
00072   cloud->points.push_back (PointXYZ ( 4.f, 7.f, 0.5f));
00073   cloud->points.push_back (PointXYZ ( 2.f, 5.f, 0.5f));
00074   cloud->points.push_back (PointXYZ (-1.f, 8.f, 0.5f));
00075   cloud->width = static_cast<uint32_t> (cloud->points.size ());
00076 
00077   Vertices vertices;
00078   vertices.vertices.resize (cloud->points.size ());
00079   for (int i = 0; i < static_cast<int> (vertices.vertices.size ()); ++i)
00080     vertices.vertices[i] = i;
00081 
00082   PolygonMesh::Ptr mesh (new PolygonMesh);
00083   toPCLPointCloud2 (*cloud, mesh->cloud);
00084   mesh->polygons.push_back (vertices);
00085 
00086   EarClipping clipper;
00087   PolygonMesh::ConstPtr mesh_aux (mesh);
00088   clipper.setInputMesh (mesh_aux);
00089 
00090   PolygonMesh triangulated_mesh;
00091   clipper.process (triangulated_mesh);
00092 
00093   EXPECT_EQ (triangulated_mesh.polygons.size (), 4);
00094   for (int i = 0; i < static_cast<int> (triangulated_mesh.polygons.size ()); ++i)
00095     EXPECT_EQ (triangulated_mesh.polygons[i].vertices.size (), 3);
00096 
00097   const int truth[][3] = { {5, 0, 1},
00098                            {2, 3, 4},
00099                            {4, 5, 1},
00100                            {1, 2, 4} };
00101 
00102   for (int pi = 0; pi < static_cast<int> (triangulated_mesh.polygons.size ()); ++pi)
00103   for (int vi = 0; vi < 3; ++vi)
00104   {
00105     EXPECT_EQ (triangulated_mesh.polygons[pi].vertices[vi], truth[pi][vi]);
00106   }
00107 }
00108 
00109 /* ---[ */
00110 int
00111 main (int argc, char** argv)
00112 {
00113   if (argc < 2)
00114   {
00115     std::cerr << "No test file given. Please download `bun0.pcd` and pass its path to the test." << std::endl;
00116     return (-1);
00117   }
00118 
00119   // Load file
00120   pcl::PCLPointCloud2 cloud_blob;
00121   loadPCDFile (argv[1], cloud_blob);
00122   fromPCLPointCloud2 (cloud_blob, *cloud);
00123 
00124   // Create search tree
00125   tree.reset (new search::KdTree<PointXYZ> (false));
00126   tree->setInputCloud (cloud);
00127 
00128   // Normal estimation
00129   NormalEstimation<PointXYZ, Normal> n;
00130   PointCloud<Normal>::Ptr normals (new PointCloud<Normal> ());
00131   n.setInputCloud (cloud);
00132   //n.setIndices (indices[B);
00133   n.setSearchMethod (tree);
00134   n.setKSearch (20);
00135   n.compute (*normals);
00136 
00137   // Concatenate XYZ and normal information
00138   pcl::concatenateFields (*cloud, *normals, *cloud_with_normals);
00139       
00140   // Create search tree
00141   tree2.reset (new search::KdTree<PointNormal>);
00142   tree2->setInputCloud (cloud_with_normals);
00143 
00144   // Process for update cloud
00145   if(argc == 3){
00146     pcl::PCLPointCloud2 cloud_blob1;
00147     loadPCDFile (argv[2], cloud_blob1);
00148     fromPCLPointCloud2 (cloud_blob1, *cloud1);
00149         // Create search tree
00150     tree3.reset (new search::KdTree<PointXYZ> (false));
00151     tree3->setInputCloud (cloud1);
00152 
00153     // Normal estimation
00154     NormalEstimation<PointXYZ, Normal> n1;
00155     PointCloud<Normal>::Ptr normals1 (new PointCloud<Normal> ());
00156     n1.setInputCloud (cloud1);
00157 
00158     n1.setSearchMethod (tree3);
00159     n1.setKSearch (20);
00160     n1.compute (*normals1);
00161 
00162     // Concatenate XYZ and normal information
00163     pcl::concatenateFields (*cloud1, *normals1, *cloud_with_normals1);
00164     // Create search tree
00165     tree4.reset (new search::KdTree<PointNormal>);
00166     tree4->setInputCloud (cloud_with_normals1);
00167   }
00168 
00169   // Testing
00170   testing::InitGoogleTest (&argc, argv);
00171   return (RUN_ALL_TESTS ());
00172 }
00173 /* ]--- */


pcl
Author(s): Open Perception
autogenerated on Wed Aug 26 2015 15:34:46