コード例 #1
0
ファイル: fitting_cylinder_pdm.cpp プロジェクト: 4ker/pcl
ON_NurbsSurface
FittingCylinder::initNurbsCylinderWithAxes (int order, NurbsDataSurface *data, Eigen::Matrix3d &axes)
{
  Eigen::Vector3d mean;

  unsigned s = unsigned (data->interior.size ());
  mean = NurbsTools::computeMean (data->interior);

  data->mean = mean;

  Eigen::Vector3d v_max (0.0, 0.0, 0.0);
  Eigen::Vector3d v_min (DBL_MAX, DBL_MAX, DBL_MAX);
  for (unsigned i = 0; i < s; i++)
  {
    Eigen::Vector3d p (axes.inverse () * (data->interior[i] - mean));

    if (p (0) > v_max (0))
      v_max (0) = p (0);
    if (p (1) > v_max (1))
      v_max (1) = p (1);
    if (p (2) > v_max (2))
      v_max (2) = p (2);

    if (p (0) < v_min (0))
      v_min (0) = p (0);
    if (p (1) < v_min (1))
      v_min (1) = p (1);
    if (p (2) < v_min (2))
      v_min (2) = p (2);
  }

  int ncpsU (order);
  int ncpsV (2 * order + 4);
  ON_NurbsSurface nurbs (3, false, order, order, ncpsU, ncpsV);
  nurbs.MakeClampedUniformKnotVector (0, 1.0);
  nurbs.MakePeriodicUniformKnotVector (1, 1.0 / (ncpsV - order + 1));

  double dcu = (v_max (0) - v_min (0)) / (ncpsU - 1);
  double dcv = (2.0 * M_PI) / (ncpsV - order + 1);

  double ry = std::max<double> (std::fabs (v_min (1)), std::fabs (v_max (1)));
  double rz = std::max<double> (std::fabs (v_min (2)), std::fabs (v_max (2)));

  Eigen::Vector3d cv_t, cv;
  for (int i = 0; i < ncpsU; i++)
  {
    for (int j = 0; j < ncpsV; j++)
    {
      cv (0) = v_min (0) + dcu * i;
      cv (1) = ry * sin (dcv * j);
      cv (2) = rz * cos (dcv * j);
      cv_t = axes * cv + mean;
      nurbs.SetCV (i, j, ON_3dPoint (cv_t (0), cv_t (1), cv_t (2)));
    }
  }

  return nurbs;
}
コード例 #2
0
ファイル: opennurbs_fit.cpp プロジェクト: cogitokat/brlcad
ON_NurbsSurface
FittingSurface::initNurbsPCA (int order, NurbsDataSurface *m_data, ON_3dVector z)
{
  ON_3dVector mean;
  Eigen::Matrix3d eigenvectors;
  Eigen::Vector3d eigenvalues;

  unsigned s = m_data->interior.size ();

  NurbsTools::pca (m_data->interior, mean, eigenvectors, eigenvalues);

  m_data->mean = mean;
  //m_data->eigenvectors = (*eigenvectors);

  bool flip (false);
  Eigen::Vector3d ez(z[0],z[1],z[2]);
  if (eigenvectors.col (2).dot (ez) < 0.0)
     flip = true;

  eigenvalues = eigenvalues / s; // seems that the eigenvalues are dependent on the number of points (???)

  ON_3dVector sigma(sqrt(eigenvalues[0]), sqrt(eigenvalues[1]), sqrt(eigenvalues[2]));

  ON_NurbsSurface nurbs (3, false, order, order, order, order);
  nurbs.MakeClampedUniformKnotVector (0, 1.0);
  nurbs.MakeClampedUniformKnotVector (1, 1.0);

  // +- 2 sigma -> 95,45 % aller Messwerte
  double dcu = (4.0 * sigma[0]) / (nurbs.Order (0) - 1);
  double dcv = (4.0 * sigma[1]) / (nurbs.Order (1) - 1);

  ON_3dVector cv_t, cv;
  Eigen::Vector3d ecv_t, ecv;
  Eigen::Vector3d emean(mean[0], mean[1], mean[2]);
  for (int i = 0; i < nurbs.Order (0); i++)
  {
    for (int j = 0; j < nurbs.Order (1); j++)
    {
      cv[0] = -2.0 * sigma[0] + dcu * i;
      cv[1] = -2.0 * sigma[1] + dcv * j;
      cv[2] = 0.0;
      ecv (0) = -2.0 * sigma[0] + dcu * i;
      ecv (1) = -2.0 * sigma[1] + dcv * j;
      ecv (2) = 0.0;
      ecv_t = eigenvectors * ecv + emean;
      cv_t[0] = ecv_t (0);
      cv_t[1] = ecv_t (1);
      cv_t[2] = ecv_t (2);
      if (flip)
	nurbs.SetCV (nurbs.Order (0) - 1 - i, j, ON_3dPoint (cv_t[0], cv_t[1], cv_t[2]));
      else
	nurbs.SetCV (i, j, ON_3dPoint (cv_t[0], cv_t[1], cv_t[2]));
    }
  }
  return nurbs;
}
コード例 #3
0
ON_NurbsSurface
FittingSurface::initNurbsPCA (int order, NurbsDataSurface *m_data, Eigen::Vector3d z)
{
  Eigen::Vector3d mean;
  Eigen::Matrix3d eigenvectors;
  Eigen::Vector3d eigenvalues;

  unsigned s = m_data->interior.size ();

  NurbsTools::pca (m_data->interior, mean, eigenvectors, eigenvalues);

  m_data->mean = mean;
  m_data->eigenvectors = eigenvectors;

  bool flip (false);
  if (eigenvectors.col (2).dot (z) < 0.0)
    flip = true;

  eigenvalues = eigenvalues / s; // seems that the eigenvalues are dependent on the number of points (???)

  Eigen::Vector3d sigma (sqrt (eigenvalues (0)), sqrt (eigenvalues (1)), sqrt (eigenvalues (2)));

  ON_NurbsSurface nurbs (3, false, order, order, order, order);
  nurbs.MakeClampedUniformKnotVector (0, 1.0);
  nurbs.MakeClampedUniformKnotVector (1, 1.0);

  // +- 2 sigma -> 95,45 % aller Messwerte
  double dcu = (4.0 * sigma (0)) / (nurbs.Order (0) - 1);
  double dcv = (4.0 * sigma (1)) / (nurbs.Order (1) - 1);

  Eigen::Vector3d cv_t, cv;
  for (int i = 0; i < nurbs.Order (0); i++)
  {
    for (int j = 0; j < nurbs.Order (1); j++)
    {
      cv (0) = -2.0 * sigma (0) + dcu * i;
      cv (1) = -2.0 * sigma (1) + dcv * j;
      cv (2) = 0.0;
      cv_t = eigenvectors * cv + mean;
      if (flip)
        nurbs.SetCV (nurbs.Order (0) - 1 - i, j, ON_3dPoint (cv_t (0), cv_t (1), cv_t (2)));
      else
        nurbs.SetCV (i, j, ON_3dPoint (cv_t (0), cv_t (1), cv_t (2)));
    }
  }
  return nurbs;
}
コード例 #4
0
ファイル: opennurbs_fit.cpp プロジェクト: cogitokat/brlcad
ON_NurbsSurface
FittingSurface::initNurbs4Corners (int order, ON_3dPoint ll, ON_3dPoint lr, ON_3dPoint ur, ON_3dPoint ul)
{
  std::map<int, std::map<int, ON_3dPoint> > cv_map;

  double dc = 1.0 / (order - 1);

  for (int i = 0; i < order; i++)
  {
    double di = dc * i;
    cv_map[i][0] = ll + (lr - ll) * di;
    cv_map[0][i] = ll + (ul - ll) * di;
    cv_map[i][order - 1] = ul + (ur - ul) * di;
    cv_map[order - 1][i] = lr + (ur - lr) * di;
  }

  for (int i = 1; i < order - 1; i++)
  {
    for (int j = 1; j < order - 1; j++)
    {
      ON_3dPoint du = cv_map[0][j] + (cv_map[order - 1][j] - cv_map[0][j]) * dc * i;
      ON_3dPoint dv = cv_map[i][0] + (cv_map[i][order - 1] - cv_map[i][0]) * dc * j;
      cv_map[i][j] = du * 0.5 + dv * 0.5;
    }
  }

  ON_NurbsSurface nurbs (3, false, order, order, order, order);
  nurbs.MakeClampedUniformKnotVector (0, 1.0);
  nurbs.MakeClampedUniformKnotVector (1, 1.0);

  for (int i = 0; i < order; i++)
  {
    for (int j = 0; j < order; j++)
    {
      nurbs.SetCV (i, j, cv_map[i][j]);
    }
  }
  return nurbs;
}
コード例 #5
0
ファイル: fitting_cylinder_pdm.cpp プロジェクト: 5irius/pcl
ON_NurbsSurface
FittingCylinder::initNurbsPCACylinder (int order, NurbsDataSurface *data)
{
  Eigen::Vector3d mean;
  Eigen::Matrix3d eigenvectors;
  Eigen::Vector3d eigenvalues;

  unsigned s = unsigned (data->interior.size ());

  NurbsTools::pca (data->interior, mean, eigenvectors, eigenvalues);

  data->mean = mean;
  data->eigenvectors = eigenvectors;

  eigenvalues = eigenvalues / s; // seems that the eigenvalues are dependent on the number of points (???)

  Eigen::Vector3d v_max (0.0, 0.0, 0.0);
  Eigen::Vector3d v_min (DBL_MAX, DBL_MAX, DBL_MAX);
  for (unsigned i = 0; i < s; i++)
  {
    Eigen::Vector3d p (eigenvectors.inverse () * (data->interior[i] - mean));

    if (p (0) > v_max (0))
      v_max (0) = p (0);
    if (p (1) > v_max (1))
      v_max (1) = p (1);
    if (p (2) > v_max (2))
      v_max (2) = p (2);

    if (p (0) < v_min (0))
      v_min (0) = p (0);
    if (p (1) < v_min (1))
      v_min (1) = p (1);
    if (p (2) < v_min (2))
      v_min (2) = p (2);
  }

  int ncpsU (order);
  int ncpsV (2 * order + 4);
  ON_NurbsSurface nurbs (3, false, order, order, ncpsU, ncpsV);
  nurbs.MakeClampedUniformKnotVector (0, 1.0);
  nurbs.MakePeriodicUniformKnotVector (1, 1.0 / (ncpsV - order + 1));

  double dcu = (v_max (0) - v_min (0)) / (ncpsU - 1);
  double dcv = (2.0 * M_PI) / (ncpsV - order + 1);

  double ry = std::max<double> (std::fabs (v_min (1)), std::fabs (v_max (1)));
  double rz = std::max<double> (std::fabs (v_min (2)), std::fabs (v_max (2)));

  Eigen::Vector3d cv_t, cv;
  for (int i = 0; i < ncpsU; i++)
  {
    for (int j = 0; j < ncpsV; j++)
    {
      cv (0) = v_min (0) + dcu * i;
      cv (1) = ry * sin (dcv * j);
      cv (2) = rz * cos (dcv * j);
      cv_t = eigenvectors * cv + mean;
      nurbs.SetCV (i, j, ON_3dPoint (cv_t (0), cv_t (1), cv_t (2)));
    }
  }

  return nurbs;
}
コード例 #6
0
ファイル: opennurbs_fit.cpp プロジェクト: cogitokat/brlcad
ON_NurbsSurface
FittingSurface::initNurbsPCABoundingBox (int order, NurbsDataSurface *m_data, ON_3dVector z)
{
  ON_3dVector mean;
  Eigen::Matrix3d eigenvectors;
  Eigen::Vector3d eigenvalues;

  unsigned s = m_data->interior.size ();
  m_data->interior_param.clear ();

  NurbsTools::pca (m_data->interior, mean, eigenvectors, eigenvalues);

  m_data->mean = mean;
  //m_data->eigenvectors = (*eigenvectors);

  bool flip (false);
  Eigen::Vector3d ez(z[0],z[1],z[2]);
  if (eigenvectors.col (2).dot (ez) < 0.0)
    flip = true;

  eigenvalues = eigenvalues / s; // seems that the eigenvalues are dependent on the number of points (???)
  Eigen::Matrix3d eigenvectors_inv = eigenvectors.inverse ();

  ON_3dVector v_max(0.0, 0.0, 0.0);
  ON_3dVector v_min(DBL_MAX, DBL_MAX, DBL_MAX);
  Eigen::Vector3d emean(mean[0], mean[1], mean[2]);
  for (unsigned i = 0; i < s; i++)
  {
    Eigen::Vector3d eint(m_data->interior[i][0], m_data->interior[i][1], m_data->interior[i][2]);
    Eigen::Vector3d ep = eigenvectors_inv * (eint - emean);
    ON_3dPoint p(ep (0), ep (1), ep(2));
    m_data->interior_param.push_back (ON_2dPoint(p[0], p[1]));

    if (p[0] > v_max[0])
      v_max[0] = p[0];
    if (p[1] > v_max[1])
      v_max[1] = p[1];
    if (p[2] > v_max[2])
      v_max[2] = p[2];

    if (p[0] < v_min[0])
      v_min[0] = p[0];
    if (p[1] < v_min[1])
      v_min[1] = p[1];
    if (p[2] < v_min[2])
      v_min[2] = p[2];
  }

  for (unsigned i = 0; i < s; i++)
  {
    ON_2dVector &p = m_data->interior_param[i];
    if (v_max[0] > v_min[0] && v_max[0] > v_min[0])
    {
      p[0] = (p[0] - v_min[0]) / (v_max[0] - v_min[0]);
      p[1] = (p[1] - v_min[1]) / (v_max[1] - v_min[1]);
    }
    else
    {
      throw std::runtime_error ("[NurbsTools::initNurbsPCABoundingBox] Error: v_max <= v_min");
    }
  }

  ON_NurbsSurface nurbs (3, false, order, order, order, order);

  nurbs.MakeClampedUniformKnotVector (0, 1.0);
  nurbs.MakeClampedUniformKnotVector (1, 1.0);

  double dcu = (v_max[0] - v_min[0]) / (nurbs.Order (0) - 1);
  double dcv = (v_max[1] - v_min[1]) / (nurbs.Order (1) - 1);

  ON_3dPoint cv_t, cv;
  Eigen::Vector3d ecv_t2, ecv2;
  Eigen::Vector3d emean2(mean[0],mean[1],mean[2]);
  for (int i = 0; i < nurbs.Order (0); i++)
  {
    for (int j = 0; j < nurbs.Order (1); j++)
    {
      cv[0] = v_min[0] + dcu * i;
      cv[1] = v_min[1] + dcv * j;
      cv[2] = 0.0;
      ecv2 (0) = cv[0];
      ecv2 (1) = cv[1];
      ecv2 (2) = cv[2];
      ecv_t2 = eigenvectors * ecv2 + emean2;
      if (flip)
	nurbs.SetCV (nurbs.Order (0) - 1 - i, j, cv_t);
      else
	nurbs.SetCV (i, j, cv_t);
    }
  }
  return nurbs;
}
コード例 #7
0
ON_NurbsSurface
FittingSurface::initNurbsPCABoundingBox (int order, NurbsDataSurface *m_data, Eigen::Vector3d z)
{
  Eigen::Vector3d mean;
  Eigen::Matrix3d eigenvectors;
  Eigen::Vector3d eigenvalues;

  unsigned s = m_data->interior.size ();
  m_data->interior_param.clear ();

  NurbsTools::pca (m_data->interior, mean, eigenvectors, eigenvalues);

  m_data->mean = mean;
  m_data->eigenvectors = eigenvectors;

  bool flip (false);
  if (eigenvectors.col (2).dot (z) < 0.0)
    flip = true;

  eigenvalues = eigenvalues / s; // seems that the eigenvalues are dependent on the number of points (???)
  Eigen::Matrix3d eigenvectors_inv = eigenvectors.inverse ();

  Eigen::Vector3d v_max (0.0, 0.0, 0.0);
  Eigen::Vector3d v_min (DBL_MAX, DBL_MAX, DBL_MAX);
  for (unsigned i = 0; i < s; i++)
  {
    Eigen::Vector3d p = eigenvectors_inv * (m_data->interior[i] - mean);
    m_data->interior_param.push_back (Eigen::Vector2d (p (0), p (1)));

    if (p (0) > v_max (0))
      v_max (0) = p (0);
    if (p (1) > v_max (1))
      v_max (1) = p (1);
    if (p (2) > v_max (2))
      v_max (2) = p (2);

    if (p (0) < v_min (0))
      v_min (0) = p (0);
    if (p (1) < v_min (1))
      v_min (1) = p (1);
    if (p (2) < v_min (2))
      v_min (2) = p (2);
  }

  for (unsigned i = 0; i < s; i++)
  {
    Eigen::Vector2d &p = m_data->interior_param[i];
    if (v_max (0) > v_min (0) && v_max (0) > v_min (0))
    {
      p (0) = (p (0) - v_min (0)) / (v_max (0) - v_min (0));
      p (1) = (p (1) - v_min (1)) / (v_max (1) - v_min (1));
    }
    else
    {
      throw std::runtime_error ("[NurbsTools::initNurbsPCABoundingBox] Error: v_max <= v_min");
    }
  }

  ON_NurbsSurface nurbs (3, false, order, order, order, order);
  nurbs.MakeClampedUniformKnotVector (0, 1.0);
  nurbs.MakeClampedUniformKnotVector (1, 1.0);

  double dcu = (v_max (0) - v_min (0)) / (nurbs.Order (0) - 1);
  double dcv = (v_max (1) - v_min (1)) / (nurbs.Order (1) - 1);

  Eigen::Vector3d cv_t, cv;
  for (int i = 0; i < nurbs.Order (0); i++)
  {
    for (int j = 0; j < nurbs.Order (1); j++)
    {
      cv (0) = v_min (0) + dcu * i;
      cv (1) = v_min (1) + dcv * j;
      cv (2) = 0.0;
      cv_t = eigenvectors * cv + mean;
      if (flip)
        nurbs.SetCV (nurbs.Order (0) - 1 - i, j, ON_3dPoint (cv_t (0), cv_t (1), cv_t (2)));
      else
        nurbs.SetCV (i, j, ON_3dPoint (cv_t (0), cv_t (1), cv_t (2)));
    }
  }
  return nurbs;
}
コード例 #8
0
ON_NurbsSurface
FittingSphere::initNurbsSphere (int order, NurbsDataSurface *data, Eigen::Vector3d)
{
  Eigen::Vector3d mean = NurbsTools::computeMean (data->interior);

  Eigen::Vector3d _min (DBL_MAX, DBL_MAX, DBL_MAX);
  Eigen::Vector3d _max (-DBL_MAX, -DBL_MAX, -DBL_MAX);
  for (const auto &i : data->interior)
  {
    Eigen::Vector3d p = i - mean;

    if (p (0) < _min (0))
      _min (0) = p (0);
    if (p (1) < _min (1))
      _min (1) = p (1);
    if (p (2) < _min (2))
      _min (2) = p (2);

    if (p (0) > _max (0))
      _max (0) = p (0);
    if (p (1) > _max (1))
      _max (1) = p (1);
    if (p (2) > _max (2))
      _max (2) = p (2);
  }

  int ncpsU (order + 2);
  int ncpsV (2 * order + 4);
  ON_NurbsSurface nurbs (3, false, order, order, ncpsU, ncpsV);
  nurbs.MakeClampedUniformKnotVector (0, 1.0);
  nurbs.MakePeriodicUniformKnotVector (1, 1.0 / (ncpsV - order + 1));

  double dcu = (_max (2) - _min (2)) / (ncpsU - 3);
  double dcv = (2.0 * M_PI) / (ncpsV - order + 1);

  double rx = std::max<double> (std::fabs (_min (0)), std::fabs (_max (0)));
  double ry = std::max<double> (std::fabs (_min (1)), std::fabs (_max (1)));

  Eigen::Vector3d cv_t, cv;
  for (int i = 1; i < ncpsU - 1; i++)
  //  for (int i = 0; i < ncpsU; i++)
  {
    for (int j = 0; j < ncpsV; j++)
    {

      cv (0) = rx * sin (dcv * j);
      cv (1) = ry * cos (dcv * j);
      cv (2) = _min (2) + dcu * (i - 1);
      cv_t = cv + mean;
      nurbs.SetCV (i, j, ON_3dPoint (cv_t (0), cv_t (1), cv_t (2)));
    }
  }

  for (int j = 0; j < ncpsV; j++)
  {
    //    cv (0) = 0.0;
    //    cv (1) = 0.0;
    cv (0) = 0.01 * rx * sin (dcv * j);
    cv (1) = 0.01 * ry * cos (dcv * j);
    cv (2) = _min (2);
    cv_t = cv + mean;
    nurbs.SetCV (0, j, ON_3dPoint (cv_t (0), cv_t (1), cv_t (2)));
  }

  for (int j = 0; j < ncpsV; j++)
  {
    //    cv (0) = 0.0;
    //    cv (1) = 0.0;
    cv (0) = 0.01 * rx * sin (dcv * j);
    cv (1) = 0.01 * ry * cos (dcv * j);
    cv (2) = _max (2);
    cv_t = cv + mean;
    nurbs.SetCV (ncpsU - 1, j, ON_3dPoint (cv_t (0), cv_t (1), cv_t (2)));
  }

  return nurbs;
}