sac_model_line.h
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00040 
00041 #ifndef PCL_SAMPLE_CONSENSUS_MODEL_LINE_H_
00042 #define PCL_SAMPLE_CONSENSUS_MODEL_LINE_H_
00043 
00044 #include <pcl/sample_consensus/sac_model.h>
00045 #include <pcl/sample_consensus/model_types.h>
00046 #include <pcl/common/eigen.h>
00047 
00048 namespace pcl
00049 {
00062   template <typename PointT>
00063   class SampleConsensusModelLine : public SampleConsensusModel<PointT>
00064   {
00065     public:
00066       using SampleConsensusModel<PointT>::input_;
00067       using SampleConsensusModel<PointT>::indices_;
00068       using SampleConsensusModel<PointT>::error_sqr_dists_;
00069 
00070       typedef typename SampleConsensusModel<PointT>::PointCloud PointCloud;
00071       typedef typename SampleConsensusModel<PointT>::PointCloudPtr PointCloudPtr;
00072       typedef typename SampleConsensusModel<PointT>::PointCloudConstPtr PointCloudConstPtr;
00073 
00074       typedef boost::shared_ptr<SampleConsensusModelLine> Ptr;
00075 
00080       SampleConsensusModelLine (const PointCloudConstPtr &cloud, bool random = false) 
00081         : SampleConsensusModel<PointT> (cloud, random) {};
00082 
00088       SampleConsensusModelLine (const PointCloudConstPtr &cloud, 
00089                                 const std::vector<int> &indices,
00090                                 bool random = false) 
00091         : SampleConsensusModel<PointT> (cloud, indices, random) {};
00092       
00094       virtual ~SampleConsensusModelLine () {}
00095 
00102       bool 
00103       computeModelCoefficients (const std::vector<int> &samples, 
00104                                 Eigen::VectorXf &model_coefficients);
00105 
00110       void 
00111       getDistancesToModel (const Eigen::VectorXf &model_coefficients, 
00112                            std::vector<double> &distances);
00113 
00119       void 
00120       selectWithinDistance (const Eigen::VectorXf &model_coefficients, 
00121                             const double threshold, 
00122                             std::vector<int> &inliers);
00123 
00130       virtual int
00131       countWithinDistance (const Eigen::VectorXf &model_coefficients, 
00132                            const double threshold);
00133 
00140       void 
00141       optimizeModelCoefficients (const std::vector<int> &inliers, 
00142                                  const Eigen::VectorXf &model_coefficients, 
00143                                  Eigen::VectorXf &optimized_coefficients);
00144 
00151       void 
00152       projectPoints (const std::vector<int> &inliers, 
00153                      const Eigen::VectorXf &model_coefficients, 
00154                      PointCloud &projected_points, 
00155                      bool copy_data_fields = true);
00156 
00162       bool 
00163       doSamplesVerifyModel (const std::set<int> &indices, 
00164                             const Eigen::VectorXf &model_coefficients, 
00165                             const double threshold);
00166 
00168       inline pcl::SacModel 
00169       getModelType () const { return (SACMODEL_LINE); }
00170 
00171     protected:
00175       inline bool 
00176       isModelValid (const Eigen::VectorXf &model_coefficients)
00177       {
00178         if (model_coefficients.size () != 6)
00179         {
00180           PCL_ERROR ("[pcl::SampleConsensusModelLine::selectWithinDistance] Invalid number of model coefficients given (%zu)!\n", model_coefficients.size ());
00181           return (false);
00182         }
00183 
00184         return (true);
00185       }
00186 
00191       bool
00192       isSampleGood (const std::vector<int> &samples) const;
00193   };
00194 }
00195 
00196 #ifdef PCL_NO_PRECOMPILE
00197 #include <pcl/sample_consensus/impl/sac_model_line.hpp>
00198 #endif
00199 
00200 #endif  //#ifndef PCL_SAMPLE_CONSENSUS_MODEL_LINE_H_


pcl
Author(s): Open Perception
autogenerated on Wed Aug 26 2015 15:32:16