principal_curvatures.h
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00001 /*
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00036  * $Id: principal_curvatures.h 4864 2012-03-01 01:11:22Z rusu $
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00039 
00040 #ifndef PCL_PRINCIPAL_CURVATURES_H_
00041 #define PCL_PRINCIPAL_CURVATURES_H_
00042 
00043 #include <Eigen/StdVector>
00044 #include <Eigen/Sparse>
00045 #include <pcl/features/feature.h>
00046 
00047 namespace pcl
00048 {
00060   template <typename PointInT, typename PointNT, typename PointOutT = pcl::PrincipalCurvatures>
00061   class PrincipalCurvaturesEstimation : public FeatureFromNormals<PointInT, PointNT, PointOutT>
00062   {
00063     public:
00064       using Feature<PointInT, PointOutT>::feature_name_;
00065       using Feature<PointInT, PointOutT>::getClassName;
00066       using Feature<PointInT, PointOutT>::indices_;
00067       using Feature<PointInT, PointOutT>::k_;
00068       using Feature<PointInT, PointOutT>::search_parameter_;
00069       using Feature<PointInT, PointOutT>::surface_;
00070       using Feature<PointInT, PointOutT>::input_;
00071       using FeatureFromNormals<PointInT, PointNT, PointOutT>::normals_;
00072 
00073       typedef typename Feature<PointInT, PointOutT>::PointCloudOut PointCloudOut;
00074       typedef pcl::PointCloud<PointInT> PointCloudIn;
00075 
00077       PrincipalCurvaturesEstimation () : 
00078         projected_normals_ (), 
00079         xyz_centroid_ (Eigen::Vector3f::Zero ()), 
00080         demean_ (Eigen::Vector3f::Zero ()),
00081         covariance_matrix_ (Eigen::Matrix3f::Zero ()),
00082         eigenvector_ (Eigen::Vector3f::Zero ()),
00083         eigenvalues_ (Eigen::Vector3f::Zero ())
00084       {
00085         feature_name_ = "PrincipalCurvaturesEstimation";
00086       };
00087 
00100       void
00101       computePointPrincipalCurvatures (const pcl::PointCloud<PointNT> &normals,
00102                                        int p_idx, const std::vector<int> &indices,
00103                                        float &pcx, float &pcy, float &pcz, float &pc1, float &pc2);
00104 
00105     protected:
00106 
00112       void
00113       computeFeature (PointCloudOut &output);
00114 
00115     private:
00117       std::vector<Eigen::Vector3f> projected_normals_;
00118 
00120       Eigen::Vector3f xyz_centroid_;
00121 
00123       Eigen::Vector3f demean_;
00124 
00126       EIGEN_ALIGN16 Eigen::Matrix3f covariance_matrix_;
00127 
00129       Eigen::Vector3f eigenvector_;
00131       Eigen::Vector3f eigenvalues_;
00132 
00136       void
00137       computeFeatureEigen (pcl::PointCloud<Eigen::MatrixXf> &) {}
00138   };
00139 
00149   template <typename PointInT, typename PointNT>
00150   class PrincipalCurvaturesEstimation<PointInT, PointNT, Eigen::MatrixXf> : public PrincipalCurvaturesEstimation<PointInT, PointNT, pcl::PrincipalCurvatures>
00151   {
00152     public:
00153       using PrincipalCurvaturesEstimation<PointInT, PointNT, pcl::PrincipalCurvatures>::indices_;
00154       using PrincipalCurvaturesEstimation<PointInT, PointNT, pcl::PrincipalCurvatures>::k_;
00155       using PrincipalCurvaturesEstimation<PointInT, PointNT, pcl::PrincipalCurvatures>::search_parameter_;
00156       using PrincipalCurvaturesEstimation<PointInT, PointNT, pcl::PrincipalCurvatures>::surface_;
00157       using PrincipalCurvaturesEstimation<PointInT, PointNT, pcl::PrincipalCurvatures>::compute;
00158       using PrincipalCurvaturesEstimation<PointInT, PointNT, pcl::PrincipalCurvatures>::input_;
00159       using PrincipalCurvaturesEstimation<PointInT, PointNT, pcl::PrincipalCurvatures>::normals_;
00160 
00161     private:
00167       void
00168       computeFeatureEigen (pcl::PointCloud<Eigen::MatrixXf> &output);
00169 
00173       void
00174       compute (pcl::PointCloud<pcl::Normal> &) {}
00175   };
00176 }
00177 
00178 #endif  //#ifndef PCL_PRINCIPAL_CURVATURES_H_


pcl
Author(s): Open Perception
autogenerated on Mon Oct 6 2014 03:17:22