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Point Cloud Library (PCL)
1.5.1
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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: octree_search.h 4702 2012-02-23 09:39:33Z gedikli $ 00037 */ 00038 00039 #ifndef PCL_OCTREE_SEARCH_H_ 00040 #define PCL_OCTREE_SEARCH_H_ 00041 00042 #include <pcl/point_cloud.h> 00043 #include <pcl/point_types.h> 00044 00045 #include "octree_pointcloud.h" 00046 00047 #include "octree_base.h" 00048 #include "octree2buf_base.h" 00049 00050 #include "octree_nodes.h" 00051 00052 namespace pcl 00053 { 00054 namespace octree 00055 { 00062 template<typename PointT, typename LeafT = OctreeLeafDataTVector<int> , typename OctreeT = OctreeBase<int, LeafT> > 00063 class OctreePointCloudSearch : public OctreePointCloud<PointT, LeafT, OctreeT> 00064 { 00065 public: 00066 // public typedefs 00067 typedef boost::shared_ptr<std::vector<int> > IndicesPtr; 00068 typedef boost::shared_ptr<const std::vector<int> > IndicesConstPtr; 00069 00070 typedef pcl::PointCloud<PointT> PointCloud; 00071 typedef boost::shared_ptr<PointCloud> PointCloudPtr; 00072 typedef boost::shared_ptr<const PointCloud> PointCloudConstPtr; 00073 00074 // public typedefs for single/double buffering 00075 typedef OctreePointCloudSearch<PointT, LeafT, OctreeBase<int, LeafT> > SingleBuffer; 00076 typedef OctreePointCloudSearch<PointT, LeafT, Octree2BufBase<int, LeafT> > DoubleBuffer; 00077 typedef OctreePointCloudSearch<PointT, LeafT, OctreeLowMemBase<int, LeafT> > LowMem; 00078 00079 // Boost shared pointers 00080 typedef boost::shared_ptr<OctreePointCloudSearch<PointT, LeafT, OctreeT> > Ptr; 00081 typedef boost::shared_ptr<const OctreePointCloudSearch<PointT, LeafT, OctreeT> > ConstPtr; 00082 00083 // Eigen aligned allocator 00084 typedef std::vector<PointT, Eigen::aligned_allocator<PointT> > AlignedPointTVector; 00085 00086 typedef typename OctreeT::OctreeBranch OctreeBranch; 00087 typedef typename OctreeT::OctreeKey OctreeKey; 00088 typedef typename OctreeT::OctreeLeaf OctreeLeaf; 00089 00093 OctreePointCloudSearch (const double resolution) : 00094 OctreePointCloud<PointT, LeafT, OctreeT> (resolution) 00095 { 00096 } 00097 00099 virtual 00100 ~OctreePointCloudSearch () 00101 { 00102 } 00103 00109 bool 00110 voxelSearch (const PointT& point, std::vector<int>& pointIdx_data); 00111 00117 bool 00118 voxelSearch (const int index, std::vector<int>& pointIdx_data); 00119 00129 inline int 00130 nearestKSearch (const PointCloud &cloud, int index, int k, std::vector<int> &k_indices, 00131 std::vector<float> &k_sqr_distances) 00132 { 00133 return (nearestKSearch (cloud[index], k, k_indices, k_sqr_distances)); 00134 } 00135 00143 int 00144 nearestKSearch (const PointT &p_q, int k, std::vector<int> &k_indices, 00145 std::vector<float> &k_sqr_distances); 00146 00156 int 00157 nearestKSearch (int index, int k, std::vector<int> &k_indices, 00158 std::vector<float> &k_sqr_distances); 00159 00167 inline void 00168 approxNearestSearch (const PointCloud &cloud, int query_index, int &result_index, 00169 float &sqr_distance) 00170 { 00171 return (approxNearestSearch (cloud.points[query_index], result_index, sqr_distance)); 00172 } 00173 00179 void 00180 approxNearestSearch (const PointT &p_q, int &result_index, float &sqr_distance); 00181 00189 void 00190 approxNearestSearch (int query_index, int &result_index, float &sqr_distance); 00191 00201 int 00202 radiusSearch (const PointCloud &cloud, int index, double radius, 00203 std::vector<int> &k_indices, std::vector<float> &k_sqr_distances, 00204 unsigned int max_nn = 0) 00205 { 00206 return (radiusSearch (cloud.points[index], radius, k_indices, k_sqr_distances, max_nn)); 00207 } 00208 00217 int 00218 radiusSearch (const PointT &p_q, const double radius, std::vector<int> &k_indices, 00219 std::vector<float> &k_sqr_distances, unsigned int max_nn = 0) const; 00220 00230 int 00231 radiusSearch (int index, const double radius, std::vector<int> &k_indices, 00232 std::vector<float> &k_sqr_distances, unsigned int max_nn = 0) const; 00233 00240 int 00241 getIntersectedVoxelCenters (Eigen::Vector3f origin, Eigen::Vector3f direction, 00242 AlignedPointTVector &voxelCenterList) const; 00243 00250 int 00251 getIntersectedVoxelIndices (Eigen::Vector3f origin, Eigen::Vector3f direction, 00252 std::vector<int> &k_indices) const; 00253 00254 00261 int 00262 boxSearch (const Eigen::Vector3f &min_pt, const Eigen::Vector3f &max_pt, std::vector<int> &k_indices) const; 00263 00264 protected: 00266 // Octree-based search routines & helpers 00268 00272 class prioBranchQueueEntry 00273 { 00274 public: 00276 prioBranchQueueEntry () 00277 { 00278 } 00279 00285 prioBranchQueueEntry (OctreeNode* node, OctreeKey& key, float pointDistance) 00286 { 00287 node = node; 00288 pointDistance = pointDistance; 00289 key = key; 00290 } 00291 00295 bool 00296 operator< (const prioBranchQueueEntry rhs) const 00297 { 00298 return (this->pointDistance > rhs.pointDistance); 00299 } 00300 00302 const OctreeNode* node; 00303 00305 float pointDistance; 00306 00308 OctreeKey key; 00309 }; 00310 00312 00316 class prioPointQueueEntry 00317 { 00318 public: 00319 00321 prioPointQueueEntry () 00322 { 00323 } 00324 00329 prioPointQueueEntry (unsigned int& pointIdx, float pointDistance) 00330 { 00331 pointIdx_ = pointIdx; 00332 pointDistance_ = pointDistance; 00333 } 00334 00338 bool 00339 operator< (const prioPointQueueEntry& rhs) const 00340 { 00341 return (this->pointDistance_ < rhs.pointDistance_); 00342 } 00343 00345 int pointIdx_; 00346 00348 float pointDistance_; 00349 }; 00350 00356 float 00357 pointSquaredDist (const PointT& pointA, const PointT& pointB) const; 00358 00360 // Recursive search routine methods 00362 00373 void 00374 getNeighborsWithinRadiusRecursive (const PointT& point, const double radiusSquared, 00375 const OctreeBranch* node, const OctreeKey& key, 00376 unsigned int treeDepth, std::vector<int>& k_indices, 00377 std::vector<float>& k_sqr_distances, unsigned int max_nn) const; 00378 00389 double 00390 getKNearestNeighborRecursive (const PointT& point, unsigned int K, const OctreeBranch* node, 00391 const OctreeKey& key, unsigned int treeDepth, 00392 const double squaredSearchRadius, 00393 std::vector<prioPointQueueEntry>& pointCandidates) const; 00394 00403 void 00404 approxNearestSearchRecursive (const PointT& point, const OctreeBranch* node, const OctreeKey& key, 00405 unsigned int treeDepth, int& result_index, float& sqr_distance); 00406 00422 int 00423 getIntersectedVoxelCentersRecursive (double minX, double minY, double minZ, double maxX, double maxY, 00424 double maxZ, unsigned char a, const OctreeNode* node, 00425 const OctreeKey& key, AlignedPointTVector &voxelCenterList) const; 00426 00427 00436 void 00437 boxSearchRecursive (const Eigen::Vector3f &min_pt, const Eigen::Vector3f &max_pt, const OctreeBranch* node, 00438 const OctreeKey& key, unsigned int treeDepth, std::vector<int>& k_indices) const; 00439 00455 int 00456 getIntersectedVoxelIndicesRecursive (double minX, double minY, double minZ, 00457 double maxX, double maxY, double maxZ, 00458 unsigned char a, const OctreeNode* node, const OctreeKey& key, 00459 std::vector<int> &k_indices) const; 00460 00472 inline void 00473 initIntersectedVoxel (Eigen::Vector3f &origin, Eigen::Vector3f &direction, 00474 double &minX, double &minY, double &minZ, 00475 double &maxX, double &maxY, double &maxZ, 00476 unsigned char &a) const 00477 { 00478 // Account for division by zero when direction vector is 0.0 00479 const float epsilon = 1e-10; 00480 if (direction.x () == 0.0) 00481 direction.x () = epsilon; 00482 if (direction.y () == 0.0) 00483 direction.y () = epsilon; 00484 if (direction.z () == 0.0) 00485 direction.z () = epsilon; 00486 00487 // Voxel childIdx remapping 00488 a = 0; 00489 00490 // Handle negative axis direction vector 00491 if (direction.x () < 0.0) 00492 { 00493 origin.x () = (float)this->minX_ + (float)this->maxX_ - origin.x (); 00494 direction.x () = -direction.x (); 00495 a |= 4; 00496 } 00497 if (direction.y () < 0.0) 00498 { 00499 origin.y () = (float)this->minY_ + (float)this->maxY_ - origin.y (); 00500 direction.y () = -direction.y (); 00501 a |= 2; 00502 } 00503 if (direction.z () < 0.0) 00504 { 00505 origin.z () = (float)this->minZ_ + (float)this->maxZ_ - origin.z (); 00506 direction.z () = -direction.z (); 00507 a |= 1; 00508 } 00509 minX = (this->minX_ - origin.x ()) / direction.x (); 00510 maxX = (this->maxX_ - origin.x ()) / direction.x (); 00511 minY = (this->minY_ - origin.y ()) / direction.y (); 00512 maxY = (this->maxY_ - origin.y ()) / direction.y (); 00513 minZ = (this->minZ_ - origin.z ()) / direction.z (); 00514 maxZ = (this->maxZ_ - origin.z ()) / direction.z (); 00515 } 00516 00526 inline int 00527 getFirstIntersectedNode (double minX, double minY, double minZ, double midX, double midY, double midZ) const 00528 { 00529 int currNode = 0; 00530 00531 if (minX > minY) 00532 { 00533 if (minX > minZ) 00534 { 00535 // max(minX, minY, minZ) is minX. Entry plane is YZ. 00536 if (midY < minX) 00537 currNode |= 2; 00538 if (midZ < minX) 00539 currNode |= 1; 00540 } 00541 else 00542 { 00543 // max(minX, minY, minZ) is minZ. Entry plane is XY. 00544 if (midX < minZ) 00545 currNode |= 4; 00546 if (midY < minZ) 00547 currNode |= 2; 00548 } 00549 } 00550 else 00551 { 00552 if (minY > minZ) 00553 { 00554 // max(minX, minY, minZ) is minY. Entry plane is XZ. 00555 if (midX < minY) 00556 currNode |= 4; 00557 if (midZ < minY) 00558 currNode |= 1; 00559 } 00560 else 00561 { 00562 // max(minX, minY, minZ) is minZ. Entry plane is XY. 00563 if (midX < minZ) 00564 currNode |= 4; 00565 if (midY < minZ) 00566 currNode |= 2; 00567 } 00568 } 00569 00570 return currNode; 00571 } 00572 00585 inline int 00586 getNextIntersectedNode (double x, double y, double z, int a, int b, int c) const 00587 { 00588 if (x < y) 00589 { 00590 if (x < z) 00591 return a; 00592 else 00593 return c; 00594 } 00595 else 00596 { 00597 if (y < z) 00598 return b; 00599 else 00600 return c; 00601 } 00602 00603 return 0; 00604 } 00605 00606 }; 00607 } 00608 } 00609 00610 #define PCL_INSTANTIATE_OctreePointCloudSearch(T) template class PCL_EXPORTS pcl::octree::OctreePointCloudSearch<T>; 00611 00612 #endif // PCL_OCTREE_SEARCH_H_
1.8.0