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Point Cloud Library (PCL)
1.4.0
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00001 /* 00002 * Software License Agreement (BSD License) 00003 * 00004 * Point Cloud Library (PCL) - www.pointclouds.org 00005 * Copyright (c) 2009-2011, Willow Garage, Inc. 00006 * 00007 * All rights reserved. 00008 * 00009 * Redistribution and use in source and binary forms, with or without 00010 * modification, are permitted provided that the following conditions 00011 * are met: 00012 * 00013 * * Redistributions of source code must retain the above copyright 00014 * notice, this list of conditions and the following disclaimer. 00015 * * Redistributions in binary form must reproduce the above 00016 * copyright notice, this list of conditions and the following 00017 * disclaimer in the documentation and/or other materials provided 00018 * with the distribution. 00019 * * Neither the name of Willow Garage, Inc. nor the names of its 00020 * contributors may be used to endorse or promote products derived 00021 * from this software without specific prior written permission. 00022 * 00023 * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS 00024 * "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT 00025 * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS 00026 * FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE 00027 * COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, 00028 * INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, 00029 * BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; 00030 * LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER 00031 * CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT 00032 * LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN 00033 * ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE 00034 * POSSIBILITY OF SUCH DAMAGE. 00035 * 00036 * $Id: kdtree.h 3749 2011-12-31 22:58:01Z rusu $ 00037 * 00038 */ 00039 00040 #ifndef PCL_KDTREE_KDTREE_H_ 00041 #define PCL_KDTREE_KDTREE_H_ 00042 00043 #include <limits.h> 00044 #include <pcl/pcl_macros.h> 00045 #include <pcl/point_cloud.h> 00046 #include <pcl/point_representation.h> 00047 #include <pcl/common/io.h> 00048 00049 namespace pcl 00050 { 00055 template <typename PointT> 00056 class KdTree 00057 { 00058 typedef boost::shared_ptr <std::vector<int> > IndicesPtr; 00059 typedef boost::shared_ptr <const std::vector<int> > IndicesConstPtr; 00060 00061 public: 00062 typedef pcl::PointCloud<PointT> PointCloud; 00063 typedef boost::shared_ptr<PointCloud> PointCloudPtr; 00064 typedef boost::shared_ptr<const PointCloud> PointCloudConstPtr; 00065 00066 typedef pcl::PointRepresentation<PointT> PointRepresentation; 00067 //typedef boost::shared_ptr<PointRepresentation> PointRepresentationPtr; 00068 typedef boost::shared_ptr<const PointRepresentation> PointRepresentationConstPtr; 00069 00070 // Boost shared pointers 00071 typedef boost::shared_ptr<KdTree<PointT> > Ptr; 00072 typedef boost::shared_ptr<const KdTree<PointT> > ConstPtr; 00073 00077 KdTree (bool sorted = true) : input_(), indices_(), 00078 epsilon_(0.0), min_pts_(1), sorted_(sorted) 00079 { 00080 point_representation_.reset (new DefaultPointRepresentation<PointT>); 00081 }; 00082 00083 00088 virtual inline void 00089 setInputCloud (const PointCloudConstPtr &cloud, const IndicesConstPtr &indices = IndicesConstPtr ()) 00090 { 00091 input_ = cloud; 00092 indices_ = indices; 00093 } 00094 00096 inline IndicesConstPtr const 00097 getIndices () 00098 { 00099 return (indices_); 00100 } 00101 00103 inline PointCloudConstPtr 00104 getInputCloud () 00105 { 00106 return (input_); 00107 } 00108 00112 inline void 00113 setPointRepresentation (const PointRepresentationConstPtr &point_representation) 00114 { 00115 point_representation_ = point_representation; 00116 setInputCloud (input_, indices_); // Makes sense in derived classes to reinitialize the tree 00117 } 00118 00120 inline PointRepresentationConstPtr const 00121 getPointRepresentation () 00122 { 00123 return (point_representation_); 00124 } 00125 00127 virtual ~KdTree () {}; 00128 00138 virtual int 00139 nearestKSearch (const PointCloud &cloud, int index, int k, 00140 std::vector<int> &k_indices, std::vector<float> &k_sqr_distances) = 0; 00141 00150 virtual int 00151 nearestKSearch (const PointT &p_q, int k, 00152 std::vector<int> &k_indices, std::vector<float> &k_sqr_distances) = 0; 00153 00163 template <typename PointTDiff> inline int 00164 nearestKSearchT (const PointTDiff &point, int k, 00165 std::vector<int> &k_indices, std::vector<float> &k_sqr_distances) 00166 { 00167 PointT p; 00168 // Copy all the data fields from the input cloud to the output one 00169 typedef typename pcl::traits::fieldList<PointT>::type FieldListInT; 00170 typedef typename pcl::traits::fieldList<PointTDiff>::type FieldListOutT; 00171 typedef typename pcl::intersect<FieldListInT, FieldListOutT>::type FieldList; 00172 pcl::for_each_type <FieldList> (pcl::NdConcatenateFunctor <PointTDiff, PointT> (point, p)); 00173 return (nearestKSearch (p, k, k_indices, k_sqr_distances)); 00174 } 00175 00185 virtual int 00186 nearestKSearch (int index, int k, std::vector<int> &k_indices, std::vector<float> &k_sqr_distances) = 0; 00187 00197 virtual int 00198 radiusSearch (const PointCloud &cloud, int index, double radius, std::vector<int> &k_indices, 00199 std::vector<float> &k_sqr_distances, int max_nn = INT_MAX) const = 0; 00200 00209 virtual int 00210 radiusSearch (const PointT &p_q, double radius, std::vector<int> &k_indices, 00211 std::vector<float> &k_sqr_distances, int max_nn = INT_MAX) const = 0; 00212 00221 template <typename PointTDiff> inline int 00222 radiusSearchT (const PointTDiff &point, double radius, std::vector<int> &k_indices, 00223 std::vector<float> &k_sqr_distances, int max_nn = -1) const 00224 { 00225 PointT p; 00226 // Copy all the data fields from the input cloud to the output one 00227 typedef typename pcl::traits::fieldList<PointT>::type FieldListInT; 00228 typedef typename pcl::traits::fieldList<PointTDiff>::type FieldListOutT; 00229 typedef typename pcl::intersect<FieldListInT, FieldListOutT>::type FieldList; 00230 pcl::for_each_type <FieldList> (pcl::NdConcatenateFunctor <PointTDiff, PointT> (point, p)); 00231 return (radiusSearch (p, radius, k_indices, k_sqr_distances, max_nn)); 00232 } 00233 00243 virtual int 00244 radiusSearch (int index, double radius, std::vector<int> &k_indices, 00245 std::vector<float> &k_sqr_distances, int max_nn = INT_MAX) const = 0; 00246 00250 virtual inline void 00251 setEpsilon (double eps) 00252 { 00253 epsilon_ = eps; 00254 } 00255 00257 inline double 00258 getEpsilon () 00259 { 00260 return (epsilon_); 00261 } 00262 00266 inline void 00267 setMinPts (int min_pts) 00268 { 00269 min_pts_ = min_pts; 00270 } 00271 00273 inline float 00274 getMinPts () 00275 { 00276 return (min_pts_); 00277 } 00278 00279 protected: 00281 PointCloudConstPtr input_; 00282 00284 IndicesConstPtr indices_; 00285 00287 double epsilon_; 00288 00290 int min_pts_; 00291 00293 bool sorted_; 00294 00296 PointRepresentationConstPtr point_representation_; 00297 00299 virtual std::string 00300 getName () const = 0; 00301 }; 00302 } 00303 00304 #endif //#ifndef _PCL_KDTREE_KDTREE_H_
1.7.6.1