00001 /* 00002 * Software License Agreement (BSD License) 00003 * 00004 * Point Cloud Library (PCL) - www.pointclouds.org 00005 * Copyright (c) 2010-2011, Willow Garage, Inc. 00006 * Copyright (c) 2012-, Open Perception, Inc. 00007 * 00008 * All rights reserved. 00009 * 00010 * Redistribution and use in source and binary forms, with or without 00011 * modification, are permitted provided that the following conditions 00012 * are met: 00013 * 00014 * * Redistributions of source code must retain the above copyright 00015 * notice, this list of conditions and the following disclaimer. 00016 * * Redistributions in binary form must reproduce the above 00017 * copyright notice, this list of conditions and the following 00018 * disclaimer in the documentation and/or other materials provided 00019 * with the distribution. 00020 * * Neither the name of the copyright holder(s) nor the names of its 00021 * contributors may be used to endorse or promote products derived 00022 * from this software without specific prior written permission. 00023 * 00024 * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS 00025 * "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT 00026 * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS 00027 * FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE 00028 * COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, 00029 * INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, 00030 * BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; 00031 * LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER 00032 * CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT 00033 * LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN 00034 * ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE 00035 * POSSIBILITY OF SUCH DAMAGE. 00036 * 00037 * $Id$ 00038 */ 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