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search.h
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00036  * $Id: search.h 4502 2012-02-17 00:44:05Z gedikli $
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00039 
00040 #ifndef PCL_SEARCH_SEARCH_H_
00041 #define PCL_SEARCH_SEARCH_H_
00042 
00043 #include <pcl/point_cloud.h>
00044 #include <pcl/common/io.h>
00045 
00046 namespace pcl
00047 {
00048   namespace search
00049   {
00072     template<typename PointT>
00073     class Search
00074     {
00075       public:
00076         typedef pcl::PointCloud<PointT> PointCloud;
00077         typedef typename PointCloud::Ptr PointCloudPtr;
00078         typedef typename PointCloud::ConstPtr PointCloudConstPtr;
00079 
00080         typedef boost::shared_ptr<pcl::search::Search<PointT> > Ptr;
00081         typedef boost::shared_ptr<const pcl::search::Search<PointT> > ConstPtr;
00082 
00083         typedef boost::shared_ptr<std::vector<int> > IndicesPtr;
00084         typedef boost::shared_ptr<const std::vector<int> > IndicesConstPtr;
00085 
00087         Search (const std::string& name = "", bool sorted = false)
00088           : sorted_results_ (sorted)
00089           , name_ (name)
00090         {
00091         }
00092 
00094         virtual
00095         ~Search ()
00096         {
00097         }
00098 
00101         virtual const std::string& getName () const
00102         {
00103           return name_;
00104         }
00109         virtual void setSortedResults (bool sorted)
00110         {
00111           sorted_results_ = sorted;
00112         }
00113         
00118         virtual void
00119         setInputCloud (const PointCloudConstPtr& cloud, const IndicesConstPtr &indices = IndicesConstPtr ())
00120         {
00121           input_ = cloud;
00122           indices_ = indices;
00123         }
00124 
00126         virtual PointCloudConstPtr
00127         getInputCloud ()
00128         {
00129           return (input_);
00130         }
00131 
00133         virtual IndicesConstPtr const
00134         getIndices ()
00135         {
00136           return (indices_);
00137         }
00138 
00147         virtual int
00148         nearestKSearch (const PointT &point, int k, std::vector<int> &k_indices,
00149                         std::vector<float> &k_sqr_distances) const = 0;
00150 
00160         template <typename PointTDiff> inline int
00161         nearestKSearchT (const PointTDiff &point, int k,
00162                          std::vector<int> &k_indices, std::vector<float> &k_sqr_distances) const
00163         {
00164           PointT p;
00165           // Copy all the data fields from the input cloud to the output one
00166           typedef typename pcl::traits::fieldList<PointT>::type FieldListInT;
00167           typedef typename pcl::traits::fieldList<PointTDiff>::type FieldListOutT;
00168           typedef typename pcl::intersect<FieldListInT, FieldListOutT>::type FieldList;
00169           pcl::for_each_type <FieldList> (pcl::NdConcatenateFunctor <PointTDiff, PointT> (point, p));
00170           return (nearestKSearch (p, k, k_indices, k_sqr_distances));
00171         }
00172 
00189         virtual int
00190         nearestKSearch (const PointCloud &cloud, int index, int k,
00191                         std::vector<int> &k_indices, std::vector<float> &k_sqr_distances) const
00192         {
00193           assert (index >= 0 && index < (int)cloud.points.size () && "Out-of-bounds error in nearestKSearch!");
00194           return (nearestKSearch (cloud.points[index], k, k_indices, k_sqr_distances));
00195         }
00196 
00214         virtual int
00215         nearestKSearch (int index, int k,
00216                         std::vector<int> &k_indices, std::vector<float> &k_sqr_distances) const
00217         {
00218           if (indices_ == NULL)
00219           {
00220             assert (index >= 0 && index < (int)input_->points.size () && "Out-of-bounds error in nearestKSearch!");
00221             return (nearestKSearch (input_->points[index], k, k_indices, k_sqr_distances));
00222           }
00223           else
00224           {
00225             assert (index >= 0 && index < (int)indices_->size () && "Out-of-bounds error in nearestKSearch!");
00226             if (index >= (int)indices_->size() || index < 0)
00227               return (0);
00228             return (nearestKSearch (input_->points[(*indices_)[index]], k, k_indices, k_sqr_distances));
00229           }
00230         }
00231 
00239         virtual void
00240         nearestKSearch (const PointCloud& cloud, const std::vector<int>& indices, int k, std::vector< std::vector<int> >& k_indices,
00241                         std::vector< std::vector<float> >& k_sqr_distances) const
00242         {
00243           if (indices.empty ())
00244           {
00245             k_indices.resize (cloud.size ());
00246             k_sqr_distances.resize (cloud.size ());
00247             for (size_t i = 0; i < cloud.size (); i++)
00248               nearestKSearch (cloud,(int) i,k,k_indices[i],k_sqr_distances[i]);
00249           }
00250           else
00251           {
00252             k_indices.resize (indices.size ());
00253             k_sqr_distances.resize (indices.size ());
00254             for (size_t i = 0; i < indices.size (); i++)
00255               nearestKSearch (cloud,indices[i],k,k_indices[i],k_sqr_distances[i]);
00256           }
00257         }
00258 
00267         template <typename PointTDiff> void
00268         nearestKSearchT (const pcl::PointCloud<PointTDiff> &cloud, const std::vector<int>& indices, int k, std::vector< std::vector<int> > &k_indices,
00269                          std::vector< std::vector<float> > &k_sqr_distances) const
00270         {
00271           // Copy all the data fields from the input cloud to the output one
00272           typedef typename pcl::traits::fieldList<PointT>::type FieldListInT;
00273           typedef typename pcl::traits::fieldList<PointTDiff>::type FieldListOutT;
00274           typedef typename pcl::intersect<FieldListInT, FieldListOutT>::type FieldList;
00275 
00276           pcl::PointCloud<PointT> pc;
00277           if (indices.empty ())
00278           {
00279             pc.resize (cloud.size());
00280             for (size_t i = 0; i < cloud.size(); i++)
00281             {
00282               pcl::for_each_type <FieldList> (pcl::NdConcatenateFunctor <PointTDiff, PointT> (
00283                                               cloud[i], pc[i]));
00284             }
00285             nearestKSearch (pc,std::vector<int>(),k,k_indices,k_sqr_distances);
00286           }
00287           else
00288           {
00289             pc.resize (indices.size());
00290             for (size_t i = 0; i < indices.size(); i++)
00291             {
00292               pcl::for_each_type <FieldList> (pcl::NdConcatenateFunctor <PointTDiff, PointT> (
00293                                               cloud[indices[i]], pc[i]));
00294             }
00295             nearestKSearch (pc,std::vector<int>(),k,k_indices,k_sqr_distances);
00296           }
00297         }
00298 
00309         virtual int
00310         radiusSearch (const PointT& point, double radius, std::vector<int>& k_indices,
00311                       std::vector<float>& k_sqr_distances, unsigned int max_nn = 0) const = 0;
00312 
00323         template <typename PointTDiff> inline int
00324         radiusSearchT (const PointTDiff &point, double radius, std::vector<int> &k_indices,
00325                        std::vector<float> &k_sqr_distances, unsigned int max_nn = 0) const
00326         {
00327           PointT p;
00328           // Copy all the data fields from the input cloud to the output one
00329           typedef typename pcl::traits::fieldList<PointT>::type FieldListInT;
00330           typedef typename pcl::traits::fieldList<PointTDiff>::type FieldListOutT;
00331           typedef typename pcl::intersect<FieldListInT, FieldListOutT>::type FieldList;
00332           pcl::for_each_type <FieldList> (pcl::NdConcatenateFunctor <PointTDiff, PointT> (point, p));
00333           return (radiusSearch (p, radius, k_indices, k_sqr_distances, max_nn));
00334         }
00335 
00353         virtual int
00354         radiusSearch (const PointCloud &cloud, int index, double radius,
00355                       std::vector<int> &k_indices, std::vector<float> &k_sqr_distances,
00356                       unsigned int max_nn = 0) const
00357         {
00358           assert (index >= 0 && index < (int)cloud.points.size () && "Out-of-bounds error in radiusSearch!");
00359           return (radiusSearch(cloud.points[index], radius, k_indices, k_sqr_distances, max_nn));
00360         }
00361 
00381         virtual int
00382         radiusSearch (int index, double radius, std::vector<int> &k_indices,
00383                       std::vector<float> &k_sqr_distances, unsigned int max_nn = 0) const
00384         {
00385           if (indices_ == NULL)
00386           {
00387             assert (index >= 0 && index < (int)input_->points.size () && "Out-of-bounds error in radiusSearch!");
00388             return (radiusSearch (input_->points[index], radius, k_indices, k_sqr_distances, max_nn));
00389           }
00390           else
00391           {
00392             assert (index >= 0 && index < (int)indices_->size () && "Out-of-bounds error in radiusSearch!");
00393             return (radiusSearch (input_->points[(*indices_)[index]], radius, k_indices, k_sqr_distances, max_nn));
00394           }
00395         }
00396 
00407         virtual void
00408         radiusSearch (const PointCloud& cloud,
00409                       const std::vector<int>& indices,
00410                       double radius,
00411                       std::vector< std::vector<int> >& k_indices,
00412                       std::vector< std::vector<float> > &k_sqr_distances,
00413                       unsigned int max_nn = 0) const
00414         {
00415           if (indices.empty ())
00416           {
00417             k_indices.resize (cloud.size ());
00418             k_sqr_distances.resize (cloud.size ());
00419             for (size_t i = 0; i < cloud.size (); i++)
00420               radiusSearch (cloud,(int) i,radius,k_indices[i],k_sqr_distances[i], max_nn);
00421           }
00422           else
00423           {
00424             k_indices.resize (indices.size ());
00425             k_sqr_distances.resize (indices.size ());
00426             for (size_t i = 0; i < indices.size (); i++)
00427               radiusSearch (cloud,indices[i],radius,k_indices[i],k_sqr_distances[i], max_nn);
00428           }
00429         }
00430 
00431 
00443         template <typename PointTDiff> void
00444         radiusSearchT (const pcl::PointCloud<PointTDiff> &cloud,
00445                        const std::vector<int>& indices,
00446                        double radius,
00447                        std::vector< std::vector<int> > &k_indices,
00448                        std::vector< std::vector<float> > &k_sqr_distances,
00449                        unsigned int max_nn = 0) const
00450         {
00451           // Copy all the data fields from the input cloud to the output one
00452           typedef typename pcl::traits::fieldList<PointT>::type FieldListInT;
00453           typedef typename pcl::traits::fieldList<PointTDiff>::type FieldListOutT;
00454           typedef typename pcl::intersect<FieldListInT, FieldListOutT>::type FieldList;
00455 
00456           pcl::PointCloud<PointT> pc;
00457           if (indices.empty ())
00458           {
00459             pc.resize (cloud.size ());
00460             for (size_t i = 0; i < cloud.size (); ++i)
00461               pcl::for_each_type <FieldList> (pcl::NdConcatenateFunctor <PointTDiff, PointT> (cloud[i], pc[i]));
00462             radiusSearch (pc, std::vector<int> (), radius, k_indices, k_sqr_distances, max_nn);
00463           }
00464           else
00465           {
00466             pc.resize (indices.size ());
00467             for (size_t i = 0; i < indices.size (); ++i)
00468               pcl::for_each_type <FieldList> (pcl::NdConcatenateFunctor <PointTDiff, PointT> (cloud[indices[i]], pc[i]));
00469             radiusSearch (pc, std::vector<int>(), radius, k_indices, k_sqr_distances, max_nn);
00470           }
00471         }
00472 
00473       protected:
00474         void sortResults (std::vector<int>& indices, std::vector<float>& distances) const;
00475         PointCloudConstPtr input_;
00476         IndicesConstPtr indices_;
00477         bool sorted_results_;
00478         std::string name_;
00479         
00480       private:
00481         struct Compare
00482         {
00483           Compare (const std::vector<float>& distances)
00484           : distances_ (distances)
00485           {
00486           }
00487           
00488           bool operator () (int first, int second) const
00489           {
00490             return distances_ [first] < distances_[second];
00491           }
00492           
00493           const std::vector<float>& distances_;
00494         };
00495     }; // class Search
00496     
00497     // implementation
00498     template<typename PointT> void
00499     Search<PointT>::sortResults (std::vector<int>& indices, std::vector<float>& distances) const
00500     {
00501       std::vector<int> order (indices.size ());
00502       for (size_t idx = 0; idx < order.size (); ++idx)
00503         order [idx] = idx;
00504 
00505       Compare compare (distances);
00506       sort (order.begin (), order.end (), compare);
00507 
00508       std::vector<int> sorted (indices.size ());
00509       for (size_t idx = 0; idx < order.size (); ++idx)
00510         sorted [idx] = indices[order [idx]];
00511 
00512       indices = sorted;
00513   
00514       // sort  the according distances.
00515       sort (distances.begin (), distances.end ());
00516     }
00517   } // namespace search
00518 } // namespace pcl
00519 
00520 #endif  //#ifndef _PCL_SEARCH_GENERIC_SEARCH_H_