test_transforms.cpp

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#include <gtest/gtest.h>

#include <iostream>  // For debug

#include <sensor_msgs/PointCloud2.h>
#include "pcl/io/pcd_io.h"
#include "pcl/features/feature.h"
#include <pcl/point_types.h>
#include <pcl/point_cloud.h>
#include <pcl/registration/transforms.h>

using namespace pcl;
using namespace pcl::io;
using namespace std;

const float PI = 3.14159265;
const float rho = sqrt (2) / 2;  // cos(PI/4) == sin(PI/4)

class MyPointXYZ : public PointXYZ 
{
  public:
    MyPointXYZ (float X, float Y, float Z) 
    {
      x = X;
      y = Y;
      z = Z;
    }
};

PointCloud<PointXYZ> cloud;

void 
  init ()
{
  MyPointXYZ p0 (0, 0, 0);
  MyPointXYZ p1 (1, 0, 0);
  MyPointXYZ p2 (0, 1, 0);
  MyPointXYZ p3 (0, 0, 1);
  cloud.points.push_back (p0);
  cloud.points.push_back (p1);
  cloud.points.push_back (p2);
  cloud.points.push_back (p3);
}

TEST (PCL, DeMean)
{
  PointCloud<PointXYZ> cloud, cloud_demean;
  sensor_msgs::PointCloud2 cloud_blob;
  loadPCDFile ("./test/bun0.pcd", cloud_blob);
  fromROSMsg (cloud_blob, cloud);

  Eigen::Vector4f centroid;
  compute3DCentroid (cloud, centroid);
  EXPECT_NEAR (centroid[0], -0.0290809, 1e-4);
  EXPECT_NEAR (centroid[1],  0.102653,  1e-4);
  EXPECT_NEAR (centroid[2],  0.027302,  1e-4);
  EXPECT_NEAR (centroid[3],  0,         1e-4);

  // Check standard demean
  demeanPointCloud (cloud, centroid, cloud_demean);
  EXPECT_EQ (cloud_demean.is_dense, cloud.is_dense);
  EXPECT_EQ (cloud_demean.width, cloud.width);
  EXPECT_EQ (cloud_demean.height, cloud.height);
  EXPECT_EQ (cloud_demean.points.size (), cloud.points.size ());

  EXPECT_NEAR (cloud_demean.points[0].x, 0.034503, 1e-4);
  EXPECT_NEAR (cloud_demean.points[0].y, 0.010837, 1e-4);
  EXPECT_NEAR (cloud_demean.points[0].z, 0.013447, 1e-4);

  EXPECT_NEAR (cloud_demean.points[cloud_demean.points.size () - 1].x, -0.048849, 1e-4);
  EXPECT_NEAR (cloud_demean.points[cloud_demean.points.size () - 1].y,  0.072507, 1e-4);
  EXPECT_NEAR (cloud_demean.points[cloud_demean.points.size () - 1].z, -0.071702, 1e-4);

  vector<int> indices (cloud.points.size ());
  for (size_t i = 0; i < indices.size (); ++i) { indices[i] = i; }

  // Check standard demean w/ indices
  demeanPointCloud (cloud, indices, centroid, cloud_demean);
  EXPECT_EQ (cloud_demean.is_dense, cloud.is_dense);
  EXPECT_EQ (cloud_demean.width, cloud.width);
  EXPECT_EQ (cloud_demean.height, cloud.height);
  EXPECT_EQ (cloud_demean.points.size (), cloud.points.size ());

  EXPECT_NEAR (cloud_demean.points[0].x, 0.034503, 1e-4);
  EXPECT_NEAR (cloud_demean.points[0].y, 0.010837, 1e-4);
  EXPECT_NEAR (cloud_demean.points[0].z, 0.013447, 1e-4);

  EXPECT_NEAR (cloud_demean.points[cloud_demean.points.size () - 1].x, -0.048849, 1e-4);
  EXPECT_NEAR (cloud_demean.points[cloud_demean.points.size () - 1].y,  0.072507, 1e-4);
  EXPECT_NEAR (cloud_demean.points[cloud_demean.points.size () - 1].z, -0.071702, 1e-4);

  // Check eigen demean
  Eigen::MatrixXf mat_demean;
  demeanPointCloud (cloud, centroid, mat_demean);
  EXPECT_EQ (mat_demean.cols (), (int)cloud.points.size ());
  EXPECT_EQ (mat_demean.rows (), 4);

  EXPECT_NEAR (mat_demean (0, 0), 0.034503, 1e-4);
  EXPECT_NEAR (mat_demean (1, 0), 0.010837, 1e-4);
  EXPECT_NEAR (mat_demean (2, 0), 0.013447, 1e-4);

  EXPECT_NEAR (mat_demean (0, cloud_demean.points.size () - 1), -0.048849, 1e-4);
  EXPECT_NEAR (mat_demean (1, cloud_demean.points.size () - 1),  0.072507, 1e-4);
  EXPECT_NEAR (mat_demean (2, cloud_demean.points.size () - 1), -0.071702, 1e-4);

  // Check eigen demean + indices
  demeanPointCloud (cloud, indices, centroid, mat_demean);
  EXPECT_EQ (mat_demean.cols (), (int)cloud.points.size ());
  EXPECT_EQ (mat_demean.rows (), 4);

  EXPECT_NEAR (mat_demean (0, 0), 0.034503, 1e-4);
  EXPECT_NEAR (mat_demean (1, 0), 0.010837, 1e-4);
  EXPECT_NEAR (mat_demean (2, 0), 0.013447, 1e-4);

  EXPECT_NEAR (mat_demean (0, cloud_demean.points.size () - 1), -0.048849, 1e-4);
  EXPECT_NEAR (mat_demean (1, cloud_demean.points.size () - 1),  0.072507, 1e-4);
  EXPECT_NEAR (mat_demean (2, cloud_demean.points.size () - 1), -0.071702, 1e-4);
}

TEST (PCL, Transform)
{
  Eigen::Vector3f offset (100, 0, 0);
  float angle = PI/4;
  Eigen::Quaternionf rotation (cos (angle / 2), 0, 0, sin (angle / 2));

  PointCloud<PointXYZ> cloud_out;
  const vector<PointXYZ, Eigen::aligned_allocator<PointXYZ> > &points (cloud_out.points);
  transformPointCloud (cloud, cloud_out, offset, rotation);

  EXPECT_EQ (cloud.points.size (), cloud_out.points.size ());
  EXPECT_EQ (100, points[0].x);
  EXPECT_EQ (0, points[0].y);
  EXPECT_EQ (0, points[0].z);
  EXPECT_NEAR (100+rho, points[1].x,  1e-4);
  EXPECT_NEAR (rho, points[1].y,  1e-4);
  EXPECT_EQ (0, points[1].z);
  EXPECT_NEAR (100-rho, points[2].x,  1e-4);
  EXPECT_NEAR (rho, points[2].y,  1e-4);
  EXPECT_EQ (0, points[2].z);
  EXPECT_EQ (100, points[3].x);
  EXPECT_EQ (0, points[3].y);
  EXPECT_EQ (1, points[3].z);

  PointCloud<PointXYZ> cloud_out2;
  const vector<PointXYZ, Eigen::aligned_allocator<PointXYZ> > &points2 (cloud_out2.points);
  Eigen::Translation3f translation (offset);
  Eigen::Affine3f transform;
  transform = translation * rotation;
  transformPointCloud (cloud, cloud_out2, transform);

  EXPECT_EQ (cloud.points.size (), cloud_out2.points.size ());
  EXPECT_EQ (100, points2[0].x);
  EXPECT_EQ (0, points2[0].y);
  EXPECT_EQ (0, points2[0].z);
  EXPECT_NEAR (100+rho, points2[1].x,  1e-4);
  EXPECT_NEAR (rho, points2[1].y,  1e-4);
  EXPECT_EQ (0, points2[1].z);
  EXPECT_NEAR (100-rho, points2[2].x,  1e-4);
  EXPECT_NEAR (rho, points2[2].y,  1e-4);
  EXPECT_EQ (0, points2[2].z);
  EXPECT_EQ (100, points2[3].x);
  EXPECT_EQ (0, points2[3].y);
  EXPECT_EQ (1, points2[3].z);
}


/* ---[ */
int
  main (int argc, char** argv)
{
  testing::InitGoogleTest (&argc, argv);
  init();
  return (RUN_ALL_TESTS ());
}
/* ]--- */

---

pcl
Author(s): See http://pcl.ros.org/authors for the complete list of authors.
autogenerated on Fri Jan 11 09:55:24 2013