correspondence_estimation.h
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00040 
00041 #ifndef PCL_REGISTRATION_CORRESPONDENCE_ESTIMATION_H_
00042 #define PCL_REGISTRATION_CORRESPONDENCE_ESTIMATION_H_
00043 
00044 #include <string>
00045 
00046 #include <pcl/pcl_base.h>
00047 #include <pcl/common/transforms.h>
00048 #include <pcl/search/kdtree.h>
00049 #include <pcl/pcl_macros.h>
00050 
00051 #include <pcl/registration/correspondence_types.h>
00052 
00053 namespace pcl
00054 {
00055   namespace registration
00056   {
00062     template <typename PointSource, typename PointTarget, typename Scalar = float>
00063     class CorrespondenceEstimationBase: public PCLBase<PointSource>
00064     {
00065       public:
00066         typedef boost::shared_ptr<CorrespondenceEstimationBase<PointSource, PointTarget, Scalar> > Ptr;
00067         typedef boost::shared_ptr<const CorrespondenceEstimationBase<PointSource, PointTarget, Scalar> > ConstPtr;
00068 
00069         // using PCLBase<PointSource>::initCompute;
00070         using PCLBase<PointSource>::deinitCompute;
00071         using PCLBase<PointSource>::input_;
00072         using PCLBase<PointSource>::indices_;
00073         using PCLBase<PointSource>::setIndices;
00074 
00075         typedef pcl::search::KdTree<PointTarget> KdTree;
00076         typedef typename KdTree::Ptr KdTreePtr;
00077 
00078         typedef pcl::search::KdTree<PointSource> KdTreeReciprocal;
00079         typedef typename KdTree::Ptr KdTreeReciprocalPtr;
00080 
00081         typedef pcl::PointCloud<PointSource> PointCloudSource;
00082         typedef typename PointCloudSource::Ptr PointCloudSourcePtr;
00083         typedef typename PointCloudSource::ConstPtr PointCloudSourceConstPtr;
00084 
00085         typedef pcl::PointCloud<PointTarget> PointCloudTarget;
00086         typedef typename PointCloudTarget::Ptr PointCloudTargetPtr;
00087         typedef typename PointCloudTarget::ConstPtr PointCloudTargetConstPtr;
00088 
00089         typedef typename KdTree::PointRepresentationConstPtr PointRepresentationConstPtr;
00090 
00092         CorrespondenceEstimationBase () 
00093           : corr_name_ ("CorrespondenceEstimationBase")
00094           , tree_ (new pcl::search::KdTree<PointTarget>)
00095           , tree_reciprocal_ (new pcl::search::KdTree<PointSource>)
00096           , target_ ()
00097           , target_indices_ ()
00098           , point_representation_ ()
00099           , input_transformed_ ()
00100           , input_fields_ ()
00101           , target_cloud_updated_ (true)
00102           , source_cloud_updated_ (true)
00103           , force_no_recompute_ (false)
00104           , force_no_recompute_reciprocal_ (false)
00105         {
00106         }
00107       
00109         virtual ~CorrespondenceEstimationBase () {}
00110 
00116         PCL_DEPRECATED (void setInputCloud (const PointCloudSourceConstPtr &cloud), "[pcl::registration::CorrespondenceEstimationBase::setInputCloud] setInputCloud is deprecated. Please use setInputSource instead.");
00117 
00119         PCL_DEPRECATED (PointCloudSourceConstPtr const getInputCloud (), 
00120             "[pcl::registration::CorrespondenceEstimationBase::getInputCloud] getInputCloud is deprecated. Please use getInputSource instead.");
00121 
00127         inline void 
00128         setInputSource (const PointCloudSourceConstPtr &cloud)
00129         {
00130           source_cloud_updated_ = true;
00131           PCLBase<PointSource>::setInputCloud (cloud);
00132           pcl::getFields (*cloud, input_fields_);
00133         }
00134 
00136         inline PointCloudSourceConstPtr const 
00137         getInputSource () 
00138         { 
00139           return (input_ ); 
00140         }
00141 
00146         inline void 
00147         setInputTarget (const PointCloudTargetConstPtr &cloud);
00148 
00150         inline PointCloudTargetConstPtr const 
00151         getInputTarget () { return (target_ ); }
00152 
00157         inline void
00158         setIndicesSource (const IndicesPtr &indices)
00159         {
00160           setIndices (indices);
00161         }
00162 
00164         inline IndicesPtr const 
00165         getIndicesSource () { return (indices_); }
00166 
00170         inline void
00171         setIndicesTarget (const IndicesPtr &indices)
00172         {
00173           target_cloud_updated_ = true;
00174           target_indices_ = indices;
00175         }
00176 
00178         inline IndicesPtr const 
00179         getIndicesTarget () { return (target_indices_); }
00180 
00188         inline void
00189         setSearchMethodTarget (const KdTreePtr &tree, 
00190                                bool force_no_recompute = false) 
00191         { 
00192           tree_ = tree; 
00193           if (force_no_recompute)
00194           {
00195             force_no_recompute_ = true;
00196           }
00197           // Since we just set a new tree, we need to check for updates
00198           target_cloud_updated_ = true;
00199         }
00200 
00203         inline KdTreePtr
00204         getSearchMethodTarget () const
00205         {
00206           return (tree_);
00207         }
00208 
00216         inline void
00217         setSearchMethodSource (const KdTreeReciprocalPtr &tree, 
00218                                bool force_no_recompute = false) 
00219         { 
00220           tree_reciprocal_ = tree; 
00221           if ( force_no_recompute )
00222           {
00223             force_no_recompute_reciprocal_ = true;
00224           }
00225           // Since we just set a new tree, we need to check for updates
00226           source_cloud_updated_ = true;
00227         }
00228 
00231         inline KdTreeReciprocalPtr
00232         getSearchMethodSource () const
00233         {
00234           return (tree_reciprocal_);
00235         }
00236 
00241         virtual void 
00242         determineCorrespondences (pcl::Correspondences &correspondences,
00243                                   double max_distance = std::numeric_limits<double>::max ()) = 0;
00244 
00252         virtual void 
00253         determineReciprocalCorrespondences (pcl::Correspondences &correspondences,
00254                                             double max_distance = std::numeric_limits<double>::max ()) = 0;
00255 
00262         inline void
00263         setPointRepresentation (const PointRepresentationConstPtr &point_representation)
00264         {
00265           point_representation_ = point_representation;
00266         }
00267 
00268       protected:
00270         std::string corr_name_;
00271 
00273         KdTreePtr tree_;
00274 
00276         KdTreeReciprocalPtr tree_reciprocal_;
00277 
00278 
00279         
00281         PointCloudTargetConstPtr target_;
00282 
00284         IndicesPtr target_indices_;
00285 
00287         PointRepresentationConstPtr point_representation_;
00288 
00290         PointCloudTargetPtr input_transformed_;
00291 
00293         std::vector<pcl::PCLPointField> input_fields_;
00294 
00296         inline const std::string& 
00297         getClassName () const { return (corr_name_); }
00298 
00300         bool
00301         initCompute ();
00302         
00304         bool
00305         initComputeReciprocal ();
00306 
00310         bool target_cloud_updated_;
00314         bool source_cloud_updated_;
00317         bool force_no_recompute_;
00318         
00321         bool force_no_recompute_reciprocal_;
00322 
00323      };
00324 
00346     template <typename PointSource, typename PointTarget, typename Scalar = float>
00347     class CorrespondenceEstimation : public CorrespondenceEstimationBase<PointSource, PointTarget, Scalar>
00348     {
00349       public:
00350         typedef boost::shared_ptr<CorrespondenceEstimation<PointSource, PointTarget, Scalar> > Ptr;
00351         typedef boost::shared_ptr<const CorrespondenceEstimation<PointSource, PointTarget, Scalar> > ConstPtr;
00352 
00353         using CorrespondenceEstimationBase<PointSource, PointTarget, Scalar>::point_representation_;
00354         using CorrespondenceEstimationBase<PointSource, PointTarget, Scalar>::input_transformed_;
00355         using CorrespondenceEstimationBase<PointSource, PointTarget, Scalar>::tree_;
00356         using CorrespondenceEstimationBase<PointSource, PointTarget, Scalar>::tree_reciprocal_;
00357         using CorrespondenceEstimationBase<PointSource, PointTarget, Scalar>::target_;
00358         using CorrespondenceEstimationBase<PointSource, PointTarget, Scalar>::corr_name_;
00359         using CorrespondenceEstimationBase<PointSource, PointTarget, Scalar>::target_indices_;
00360         using CorrespondenceEstimationBase<PointSource, PointTarget, Scalar>::getClassName;
00361         using CorrespondenceEstimationBase<PointSource, PointTarget, Scalar>::initCompute;
00362         using CorrespondenceEstimationBase<PointSource, PointTarget, Scalar>::initComputeReciprocal;
00363         using CorrespondenceEstimationBase<PointSource, PointTarget, Scalar>::input_;
00364         using CorrespondenceEstimationBase<PointSource, PointTarget, Scalar>::indices_;
00365         using CorrespondenceEstimationBase<PointSource, PointTarget, Scalar>::input_fields_;
00366         using PCLBase<PointSource>::deinitCompute;
00367 
00368         typedef pcl::search::KdTree<PointTarget> KdTree;
00369         typedef typename pcl::search::KdTree<PointTarget>::Ptr KdTreePtr;
00370 
00371         typedef pcl::PointCloud<PointSource> PointCloudSource;
00372         typedef typename PointCloudSource::Ptr PointCloudSourcePtr;
00373         typedef typename PointCloudSource::ConstPtr PointCloudSourceConstPtr;
00374 
00375         typedef pcl::PointCloud<PointTarget> PointCloudTarget;
00376         typedef typename PointCloudTarget::Ptr PointCloudTargetPtr;
00377         typedef typename PointCloudTarget::ConstPtr PointCloudTargetConstPtr;
00378 
00379         typedef typename KdTree::PointRepresentationConstPtr PointRepresentationConstPtr;
00380 
00382         CorrespondenceEstimation () 
00383         {
00384           corr_name_  = "CorrespondenceEstimation";
00385         }
00386       
00388         virtual ~CorrespondenceEstimation () {}
00389 
00394         virtual void 
00395         determineCorrespondences (pcl::Correspondences &correspondences,
00396                                   double max_distance = std::numeric_limits<double>::max ());
00397 
00405         virtual void 
00406         determineReciprocalCorrespondences (pcl::Correspondences &correspondences,
00407                                             double max_distance = std::numeric_limits<double>::max ());
00408      };
00409   }
00410 }
00411 
00412 #include <pcl/registration/impl/correspondence_estimation.hpp>
00413 
00414 #endif /* PCL_REGISTRATION_CORRESPONDENCE_ESTIMATION_H_ */


pcl
Author(s): Open Perception
autogenerated on Wed Aug 26 2015 15:22:58