kdtree.h
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00039 
00040 #ifndef PCL_SEARCH_KDTREE_H_
00041 #define PCL_SEARCH_KDTREE_H_
00042 
00043 #include <pcl/search/search.h>
00044 #include <pcl/kdtree/kdtree_flann.h>
00045 
00046 namespace pcl
00047 {
00048   // Forward declarations
00049   template <typename T> class PointRepresentation;
00050 
00051   namespace search
00052   {
00061     template<typename PointT>
00062     class KdTree: public Search<PointT>
00063     {
00064       public:
00065         typedef typename Search<PointT>::PointCloud PointCloud;
00066         typedef typename Search<PointT>::PointCloudConstPtr PointCloudConstPtr;
00067 
00068         typedef boost::shared_ptr<std::vector<int> > IndicesPtr;
00069         typedef boost::shared_ptr<const std::vector<int> > IndicesConstPtr;
00070 
00071         using pcl::search::Search<PointT>::indices_;
00072         using pcl::search::Search<PointT>::input_;
00073         using pcl::search::Search<PointT>::getIndices;
00074         using pcl::search::Search<PointT>::getInputCloud;
00075         using pcl::search::Search<PointT>::nearestKSearch;
00076         using pcl::search::Search<PointT>::radiusSearch;
00077         using pcl::search::Search<PointT>::sorted_results_;
00078 
00079         typedef boost::shared_ptr<KdTree<PointT> > Ptr;
00080         typedef boost::shared_ptr<const KdTree<PointT> > ConstPtr;
00081 
00082         typedef boost::shared_ptr<pcl::KdTreeFLANN<PointT> > KdTreeFLANNPtr;
00083         typedef boost::shared_ptr<const pcl::KdTreeFLANN<PointT> > KdTreeFLANNConstPtr;
00084         typedef boost::shared_ptr<const PointRepresentation<PointT> > PointRepresentationConstPtr;
00085 
00093         KdTree (bool sorted = true); 
00094 
00096         virtual
00097         ~KdTree ()
00098         {
00099         }
00100 
00104         void
00105         setPointRepresentation (const PointRepresentationConstPtr &point_representation);
00106 
00108         inline PointRepresentationConstPtr
00109         getPointRepresentation () const
00110         {
00111           return (tree_->getPointRepresentation ());
00112         }
00113 
00117         void 
00118         setSortedResults (bool sorted_results);
00119         
00123         void
00124         setEpsilon (float eps);
00125 
00127         inline float
00128         getEpsilon () const
00129         {
00130           return (tree_->getEpsilon ());
00131         }
00132 
00137         void
00138         setInputCloud (const PointCloudConstPtr& cloud, 
00139                        const IndicesConstPtr& indices = IndicesConstPtr ());
00140 
00149         int
00150         nearestKSearch (const PointT &point, int k, 
00151                         std::vector<int> &k_indices, 
00152                         std::vector<float> &k_sqr_distances) const;
00153 
00164         int
00165         radiusSearch (const PointT& point, double radius, 
00166                       std::vector<int> &k_indices, 
00167                       std::vector<float> &k_sqr_distances,
00168                       unsigned int max_nn = 0) const;
00169       protected:
00171         KdTreeFLANNPtr tree_;
00172     };
00173   }
00174 }
00175 
00176 #define PCL_INSTANTIATE_KdTree(T) template class PCL_EXPORTS pcl::search::KdTree<T>;
00177 
00178 #endif    // PCL_SEARCH_KDTREE_H_
00179 


pcl
Author(s): Open Perception
autogenerated on Wed Aug 26 2015 15:25:04