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Point Cloud Library (PCL)
1.6.0
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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 * 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: search.h 4914 2012-03-05 17:26:23Z rusu $ 00037 * 00038 */ 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 : input_ () 00089 , indices_ () 00090 , sorted_results_ (sorted) 00091 , name_ (name) 00092 { 00093 } 00094 00096 virtual 00097 ~Search () 00098 { 00099 } 00100 00103 virtual const std::string& 00104 getName () const 00105 { 00106 return (name_); 00107 } 00108 00113 virtual void 00114 setSortedResults (bool sorted) 00115 { 00116 sorted_results_ = sorted; 00117 } 00118 00123 virtual void 00124 setInputCloud (const PointCloudConstPtr& cloud, const IndicesConstPtr &indices = IndicesConstPtr ()) 00125 { 00126 input_ = cloud; 00127 indices_ = indices; 00128 } 00129 00131 virtual PointCloudConstPtr 00132 getInputCloud () const 00133 { 00134 return (input_); 00135 } 00136 00138 virtual IndicesConstPtr 00139 getIndices () const 00140 { 00141 return (indices_); 00142 } 00143 00152 virtual int 00153 nearestKSearch (const PointT &point, int k, std::vector<int> &k_indices, 00154 std::vector<float> &k_sqr_distances) const = 0; 00155 00165 template <typename PointTDiff> inline int 00166 nearestKSearchT (const PointTDiff &point, int k, 00167 std::vector<int> &k_indices, std::vector<float> &k_sqr_distances) const 00168 { 00169 PointT p; 00170 // Copy all the data fields from the input cloud to the output one 00171 typedef typename pcl::traits::fieldList<PointT>::type FieldListInT; 00172 typedef typename pcl::traits::fieldList<PointTDiff>::type FieldListOutT; 00173 typedef typename pcl::intersect<FieldListInT, FieldListOutT>::type FieldList; 00174 pcl::for_each_type <FieldList> (pcl::NdConcatenateFunctor <PointTDiff, PointT> (point, p)); 00175 return (nearestKSearch (p, k, k_indices, k_sqr_distances)); 00176 } 00177 00194 virtual int 00195 nearestKSearch (const PointCloud &cloud, int index, int k, 00196 std::vector<int> &k_indices, std::vector<float> &k_sqr_distances) const 00197 { 00198 assert (index >= 0 && index < static_cast<int> (cloud.points.size ()) && "Out-of-bounds error in nearestKSearch!"); 00199 return (nearestKSearch (cloud.points[index], k, k_indices, k_sqr_distances)); 00200 } 00201 00219 virtual int 00220 nearestKSearch (int index, int k, 00221 std::vector<int> &k_indices, std::vector<float> &k_sqr_distances) const 00222 { 00223 if (indices_ == NULL) 00224 { 00225 assert (index >= 0 && index < static_cast<int> (input_->points.size ()) && "Out-of-bounds error in nearestKSearch!"); 00226 return (nearestKSearch (input_->points[index], k, k_indices, k_sqr_distances)); 00227 } 00228 else 00229 { 00230 assert (index >= 0 && index < static_cast<int> (indices_->size ()) && "Out-of-bounds error in nearestKSearch!"); 00231 if (index >= static_cast<int> (indices_->size ()) || index < 0) 00232 return (0); 00233 return (nearestKSearch (input_->points[(*indices_)[index]], k, k_indices, k_sqr_distances)); 00234 } 00235 } 00236 00244 virtual void 00245 nearestKSearch (const PointCloud& cloud, const std::vector<int>& indices, int k, std::vector< std::vector<int> >& k_indices, 00246 std::vector< std::vector<float> >& k_sqr_distances) const 00247 { 00248 if (indices.empty ()) 00249 { 00250 k_indices.resize (cloud.size ()); 00251 k_sqr_distances.resize (cloud.size ()); 00252 for (size_t i = 0; i < cloud.size (); i++) 00253 nearestKSearch (cloud, static_cast<int> (i), k, k_indices[i], k_sqr_distances[i]); 00254 } 00255 else 00256 { 00257 k_indices.resize (indices.size ()); 00258 k_sqr_distances.resize (indices.size ()); 00259 for (size_t i = 0; i < indices.size (); i++) 00260 nearestKSearch (cloud, indices[i], k, k_indices[i], k_sqr_distances[i]); 00261 } 00262 } 00263 00272 template <typename PointTDiff> void 00273 nearestKSearchT (const pcl::PointCloud<PointTDiff> &cloud, const std::vector<int>& indices, int k, std::vector< std::vector<int> > &k_indices, 00274 std::vector< std::vector<float> > &k_sqr_distances) const 00275 { 00276 // Copy all the data fields from the input cloud to the output one 00277 typedef typename pcl::traits::fieldList<PointT>::type FieldListInT; 00278 typedef typename pcl::traits::fieldList<PointTDiff>::type FieldListOutT; 00279 typedef typename pcl::intersect<FieldListInT, FieldListOutT>::type FieldList; 00280 00281 pcl::PointCloud<PointT> pc; 00282 if (indices.empty ()) 00283 { 00284 pc.resize (cloud.size()); 00285 for (size_t i = 0; i < cloud.size(); i++) 00286 { 00287 pcl::for_each_type <FieldList> (pcl::NdConcatenateFunctor <PointTDiff, PointT> ( 00288 cloud[i], pc[i])); 00289 } 00290 nearestKSearch (pc,std::vector<int>(),k,k_indices,k_sqr_distances); 00291 } 00292 else 00293 { 00294 pc.resize (indices.size()); 00295 for (size_t i = 0; i < indices.size(); i++) 00296 { 00297 pcl::for_each_type <FieldList> (pcl::NdConcatenateFunctor <PointTDiff, PointT> ( 00298 cloud[indices[i]], pc[i])); 00299 } 00300 nearestKSearch (pc,std::vector<int>(),k,k_indices,k_sqr_distances); 00301 } 00302 } 00303 00314 virtual int 00315 radiusSearch (const PointT& point, double radius, std::vector<int>& k_indices, 00316 std::vector<float>& k_sqr_distances, unsigned int max_nn = 0) const = 0; 00317 00328 template <typename PointTDiff> inline int 00329 radiusSearchT (const PointTDiff &point, double radius, std::vector<int> &k_indices, 00330 std::vector<float> &k_sqr_distances, unsigned int max_nn = 0) const 00331 { 00332 PointT p; 00333 // Copy all the data fields from the input cloud to the output one 00334 typedef typename pcl::traits::fieldList<PointT>::type FieldListInT; 00335 typedef typename pcl::traits::fieldList<PointTDiff>::type FieldListOutT; 00336 typedef typename pcl::intersect<FieldListInT, FieldListOutT>::type FieldList; 00337 pcl::for_each_type <FieldList> (pcl::NdConcatenateFunctor <PointTDiff, PointT> (point, p)); 00338 return (radiusSearch (p, radius, k_indices, k_sqr_distances, max_nn)); 00339 } 00340 00358 virtual int 00359 radiusSearch (const PointCloud &cloud, int index, double radius, 00360 std::vector<int> &k_indices, std::vector<float> &k_sqr_distances, 00361 unsigned int max_nn = 0) const 00362 { 00363 assert (index >= 0 && index < static_cast<int> (cloud.points.size ()) && "Out-of-bounds error in radiusSearch!"); 00364 return (radiusSearch(cloud.points[index], radius, k_indices, k_sqr_distances, max_nn)); 00365 } 00366 00386 virtual int 00387 radiusSearch (int index, double radius, std::vector<int> &k_indices, 00388 std::vector<float> &k_sqr_distances, unsigned int max_nn = 0) const 00389 { 00390 if (indices_ == NULL) 00391 { 00392 assert (index >= 0 && index < static_cast<int> (input_->points.size ()) && "Out-of-bounds error in radiusSearch!"); 00393 return (radiusSearch (input_->points[index], radius, k_indices, k_sqr_distances, max_nn)); 00394 } 00395 else 00396 { 00397 assert (index >= 0 && index < static_cast<int> (indices_->size ()) && "Out-of-bounds error in radiusSearch!"); 00398 return (radiusSearch (input_->points[(*indices_)[index]], radius, k_indices, k_sqr_distances, max_nn)); 00399 } 00400 } 00401 00412 virtual void 00413 radiusSearch (const PointCloud& cloud, 00414 const std::vector<int>& indices, 00415 double radius, 00416 std::vector< std::vector<int> >& k_indices, 00417 std::vector< std::vector<float> > &k_sqr_distances, 00418 unsigned int max_nn = 0) const 00419 { 00420 if (indices.empty ()) 00421 { 00422 k_indices.resize (cloud.size ()); 00423 k_sqr_distances.resize (cloud.size ()); 00424 for (size_t i = 0; i < cloud.size (); i++) 00425 radiusSearch (cloud, static_cast<int> (i), radius,k_indices[i], k_sqr_distances[i], max_nn); 00426 } 00427 else 00428 { 00429 k_indices.resize (indices.size ()); 00430 k_sqr_distances.resize (indices.size ()); 00431 for (size_t i = 0; i < indices.size (); i++) 00432 radiusSearch (cloud,indices[i],radius,k_indices[i],k_sqr_distances[i], max_nn); 00433 } 00434 } 00435 00436 00448 template <typename PointTDiff> void 00449 radiusSearchT (const pcl::PointCloud<PointTDiff> &cloud, 00450 const std::vector<int>& indices, 00451 double radius, 00452 std::vector< std::vector<int> > &k_indices, 00453 std::vector< std::vector<float> > &k_sqr_distances, 00454 unsigned int max_nn = 0) const 00455 { 00456 // Copy all the data fields from the input cloud to the output one 00457 typedef typename pcl::traits::fieldList<PointT>::type FieldListInT; 00458 typedef typename pcl::traits::fieldList<PointTDiff>::type FieldListOutT; 00459 typedef typename pcl::intersect<FieldListInT, FieldListOutT>::type FieldList; 00460 00461 pcl::PointCloud<PointT> pc; 00462 if (indices.empty ()) 00463 { 00464 pc.resize (cloud.size ()); 00465 for (size_t i = 0; i < cloud.size (); ++i) 00466 pcl::for_each_type <FieldList> (pcl::NdConcatenateFunctor <PointTDiff, PointT> (cloud[i], pc[i])); 00467 radiusSearch (pc, std::vector<int> (), radius, k_indices, k_sqr_distances, max_nn); 00468 } 00469 else 00470 { 00471 pc.resize (indices.size ()); 00472 for (size_t i = 0; i < indices.size (); ++i) 00473 pcl::for_each_type <FieldList> (pcl::NdConcatenateFunctor <PointTDiff, PointT> (cloud[indices[i]], pc[i])); 00474 radiusSearch (pc, std::vector<int>(), radius, k_indices, k_sqr_distances, max_nn); 00475 } 00476 } 00477 00478 protected: 00479 void sortResults (std::vector<int>& indices, std::vector<float>& distances) const; 00480 PointCloudConstPtr input_; 00481 IndicesConstPtr indices_; 00482 bool sorted_results_; 00483 std::string name_; 00484 00485 private: 00486 struct Compare 00487 { 00488 Compare (const std::vector<float>& distances) 00489 : distances_ (distances) 00490 { 00491 } 00492 00493 bool operator () (int first, int second) const 00494 { 00495 return distances_ [first] < distances_[second]; 00496 } 00497 00498 const std::vector<float>& distances_; 00499 }; 00500 }; // class Search 00501 00502 // implementation 00503 template<typename PointT> void 00504 Search<PointT>::sortResults (std::vector<int>& indices, std::vector<float>& distances) const 00505 { 00506 std::vector<int> order (indices.size ()); 00507 for (size_t idx = 0; idx < order.size (); ++idx) 00508 order [idx] = static_cast<int> (idx); 00509 00510 Compare compare (distances); 00511 sort (order.begin (), order.end (), compare); 00512 00513 std::vector<int> sorted (indices.size ()); 00514 for (size_t idx = 0; idx < order.size (); ++idx) 00515 sorted [idx] = indices[order [idx]]; 00516 00517 indices = sorted; 00518 00519 // sort the according distances. 00520 sort (distances.begin (), distances.end ()); 00521 } 00522 } // namespace search 00523 } // namespace pcl 00524 00525 #endif //#ifndef _PCL_SEARCH_GENERIC_SEARCH_H_
1.7.6.1