fitting_sphere_pdm.h
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00001 /*
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00037 
00038 #ifndef NURBS_FITTING_SPHERE_H
00039 #define NURBS_FITTING_SPHERE_H
00040 
00041 #include <pcl/surface/on_nurbs/nurbs_tools.h>
00042 #include <pcl/surface/on_nurbs/nurbs_data.h>
00043 #include <pcl/surface/on_nurbs/nurbs_solve.h>
00044 
00045 namespace pcl
00046 {
00047   namespace on_nurbs
00048   {
00049 
00055     class FittingSphere
00056     {
00057     public:
00058 
00059       ON_TextLog m_out;
00060       ON_NurbsSurface m_nurbs;
00061       NurbsDataSurface *m_data;
00062 
00067       FittingSphere (int order, NurbsDataSurface *data);
00068 
00072       FittingSphere (NurbsDataSurface *data, const ON_NurbsSurface &ns);
00073 
00077       void
00078       assemble (double smoothness = 0.000001f);
00079 
00082       void
00083       solve (double damp = 1.0);
00084 
00087       void
00088       updateSurf (double damp);
00089 
00093       void
00094       setInvMapParams (int in_max_steps, double invMapInt_accuracy);
00095 
00096       inline void
00097       setQuiet (bool val)
00098       {
00099         m_quiet = val;
00100         m_solver.setQuiet (val);
00101       }
00102 
00104       static ON_NurbsSurface
00105       initNurbsSphere (int order, NurbsDataSurface *data, Eigen::Vector3d pole_axis = Eigen::Vector3d (0.0, 0.0, 1.0));
00106 
00108       static std::vector<double>
00109       getElementVector (const ON_NurbsSurface &nurbs, int dim);
00110 
00124       static Eigen::Vector2d
00125       inverseMapping (const ON_NurbsSurface &nurbs, const Eigen::Vector3d &pt, const Eigen::Vector2d &hint,
00126                       double &error, Eigen::Vector3d &p, Eigen::Vector3d &tu, Eigen::Vector3d &tv, int maxSteps = 100,
00127                       double accuracy = 1e-6, bool quiet = true);
00128 
00133       static Eigen::Vector2d
00134       findClosestElementMidPoint (const ON_NurbsSurface &nurbs, const Eigen::Vector3d &pt);
00135 
00136     protected:
00137 
00139       void
00140       init ();
00141 
00143       void
00144       assembleInterior (double wInt, unsigned &row);
00145 
00147       void
00148       addPointConstraint (const Eigen::Vector2d &params, const Eigen::Vector3d &point, double weight, unsigned &row);
00149 
00151       void
00152       addCageInteriorRegularisation (double weight, unsigned &row);
00153 
00155       void
00156       addCageBoundaryRegularisation (double weight, int side, unsigned &row);
00157 
00158     private:
00159       NurbsSolve m_solver;
00160       bool m_quiet;
00161 
00162       int in_max_steps;
00163       double in_accuracy;
00164 
00165       // index routines
00166       int
00167       grc2gl (int I, int J)
00168       {
00169         int cp_red = (m_nurbs.m_order[1] - 2);
00170         int ncpj = (m_nurbs.m_cv_count[1] - 2 * cp_red);
00171         return ncpj * I + (J % ncpj);
00172       } // global row/col index to global lexicographic index
00173       int
00174       lrc2gl (int E, int F, int i, int j)
00175       {
00176         return grc2gl (E + i, F + j);
00177       } // local row/col index to global lexicographic index
00178       int
00179       gl2gr (int A)
00180       {
00181         return (A / m_nurbs.CVCount (1));
00182       } // global lexicographic in global row index
00183       int
00184       gl2gc (int A)
00185       {
00186         return (A % m_nurbs.CVCount (1));
00187       } // global lexicographic in global col index
00188 
00189     };
00190 
00191   }
00192 }
00193 
00194 #endif /* NURBS_FITTING_SPHERE_H */


pcl
Author(s): Open Perception
autogenerated on Wed Aug 26 2015 15:24:09