|
Point Cloud Library (PCL)
1.6.0
|
00001 /* 00002 * Software License Agreement (BSD License) 00003 * 00004 * Point Cloud Library (PCL) - www.pointclouds.org 00005 * Copyright (c) 2010-2012, 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 6119 2012-07-03 18:50:04Z aichim $ 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 #include "octree_nodes.h" 00050 00051 namespace pcl 00052 { 00053 namespace octree 00054 { 00061 template<typename PointT, typename LeafT = OctreeContainerDataTVector<int> , typename BranchT = OctreeContainerEmpty<int> > 00062 class OctreePointCloudSearch : public OctreePointCloud<PointT, LeafT, BranchT> 00063 { 00064 public: 00065 // public typedefs 00066 typedef boost::shared_ptr<std::vector<int> > IndicesPtr; 00067 typedef boost::shared_ptr<const std::vector<int> > IndicesConstPtr; 00068 00069 typedef pcl::PointCloud<PointT> PointCloud; 00070 typedef boost::shared_ptr<PointCloud> PointCloudPtr; 00071 typedef boost::shared_ptr<const PointCloud> PointCloudConstPtr; 00072 00073 // Boost shared pointers 00074 typedef boost::shared_ptr<OctreePointCloudSearch<PointT, LeafT, BranchT> > Ptr; 00075 typedef boost::shared_ptr<const OctreePointCloudSearch<PointT, LeafT, BranchT> > ConstPtr; 00076 00077 // Eigen aligned allocator 00078 typedef std::vector<PointT, Eigen::aligned_allocator<PointT> > AlignedPointTVector; 00079 00080 typedef OctreePointCloud<PointT, LeafT, BranchT> OctreeT; 00081 typedef typename OctreeT::LeafNode LeafNode; 00082 typedef typename OctreeT::BranchNode BranchNode; 00083 00087 OctreePointCloudSearch (const double resolution) : 00088 OctreePointCloud<PointT, LeafT, BranchT> (resolution) 00089 { 00090 } 00091 00093 virtual 00094 ~OctreePointCloudSearch () 00095 { 00096 } 00097 00103 bool 00104 voxelSearch (const PointT& point, std::vector<int>& pointIdx_data); 00105 00111 bool 00112 voxelSearch (const int index, std::vector<int>& pointIdx_data); 00113 00123 inline int 00124 nearestKSearch (const PointCloud &cloud, int index, int k, std::vector<int> &k_indices, 00125 std::vector<float> &k_sqr_distances) 00126 { 00127 return (nearestKSearch (cloud[index], k, k_indices, k_sqr_distances)); 00128 } 00129 00137 int 00138 nearestKSearch (const PointT &p_q, int k, std::vector<int> &k_indices, 00139 std::vector<float> &k_sqr_distances); 00140 00150 int 00151 nearestKSearch (int index, int k, std::vector<int> &k_indices, 00152 std::vector<float> &k_sqr_distances); 00153 00161 inline void 00162 approxNearestSearch (const PointCloud &cloud, int query_index, int &result_index, 00163 float &sqr_distance) 00164 { 00165 return (approxNearestSearch (cloud.points[query_index], result_index, sqr_distance)); 00166 } 00167 00173 void 00174 approxNearestSearch (const PointT &p_q, int &result_index, float &sqr_distance); 00175 00183 void 00184 approxNearestSearch (int query_index, int &result_index, float &sqr_distance); 00185 00195 int 00196 radiusSearch (const PointCloud &cloud, int index, double radius, 00197 std::vector<int> &k_indices, std::vector<float> &k_sqr_distances, 00198 unsigned int max_nn = 0) 00199 { 00200 return (radiusSearch (cloud.points[index], radius, k_indices, k_sqr_distances, max_nn)); 00201 } 00202 00211 int 00212 radiusSearch (const PointT &p_q, const double radius, std::vector<int> &k_indices, 00213 std::vector<float> &k_sqr_distances, unsigned int max_nn = 0) const; 00214 00224 int 00225 radiusSearch (int index, const double radius, std::vector<int> &k_indices, 00226 std::vector<float> &k_sqr_distances, unsigned int max_nn = 0) const; 00227 00235 int 00236 getIntersectedVoxelCenters (Eigen::Vector3f origin, Eigen::Vector3f direction, 00237 AlignedPointTVector &voxelCenterList, 00238 int maxVoxelCount = 0) const; 00239 00247 int 00248 getIntersectedVoxelIndices (Eigen::Vector3f origin, Eigen::Vector3f direction, 00249 std::vector<int> &k_indices, 00250 int maxVoxelCount = 0) const; 00251 00252 00259 int 00260 boxSearch (const Eigen::Vector3f &min_pt, const Eigen::Vector3f &max_pt, std::vector<int> &k_indices) const; 00261 00262 protected: 00264 // Octree-based search routines & helpers 00266 00270 class prioBranchQueueEntry 00271 { 00272 public: 00274 prioBranchQueueEntry () : node (), pointDistance (0), key () 00275 { 00276 } 00277 00283 prioBranchQueueEntry (OctreeNode* _node, OctreeKey& _key, float _point_distance) : 00284 node (_node), pointDistance (_point_distance), key (_key) 00285 { 00286 } 00287 00291 bool 00292 operator < (const prioBranchQueueEntry rhs) const 00293 { 00294 return (this->pointDistance > rhs.pointDistance); 00295 } 00296 00298 const OctreeNode* node; 00299 00301 float pointDistance; 00302 00304 OctreeKey key; 00305 }; 00306 00308 00312 class prioPointQueueEntry 00313 { 00314 public: 00315 00317 prioPointQueueEntry () : 00318 pointIdx_ (0), pointDistance_ (0) 00319 { 00320 } 00321 00326 prioPointQueueEntry (unsigned int& pointIdx, float pointDistance) : 00327 pointIdx_ (pointIdx), pointDistance_ (pointDistance) 00328 { 00329 } 00330 00334 bool 00335 operator< (const prioPointQueueEntry& rhs) const 00336 { 00337 return (this->pointDistance_ < rhs.pointDistance_); 00338 } 00339 00341 int pointIdx_; 00342 00344 float pointDistance_; 00345 }; 00346 00352 float 00353 pointSquaredDist (const PointT& pointA, const PointT& pointB) const; 00354 00356 // Recursive search routine methods 00358 00369 void 00370 getNeighborsWithinRadiusRecursive (const PointT& point, const double radiusSquared, 00371 const BranchNode* node, const OctreeKey& key, 00372 unsigned int treeDepth, std::vector<int>& k_indices, 00373 std::vector<float>& k_sqr_distances, unsigned int max_nn) const; 00374 00385 double 00386 getKNearestNeighborRecursive (const PointT& point, unsigned int K, const BranchNode* node, 00387 const OctreeKey& key, unsigned int treeDepth, 00388 const double squaredSearchRadius, 00389 std::vector<prioPointQueueEntry>& pointCandidates) const; 00390 00399 void 00400 approxNearestSearchRecursive (const PointT& point, const BranchNode* node, const OctreeKey& key, 00401 unsigned int treeDepth, int& result_index, float& sqr_distance); 00402 00419 int 00420 getIntersectedVoxelCentersRecursive (double minX, double minY, double minZ, double maxX, double maxY, 00421 double maxZ, unsigned char a, const OctreeNode* node, 00422 const OctreeKey& key, AlignedPointTVector &voxelCenterList, 00423 int maxVoxelCount) const; 00424 00425 00434 void 00435 boxSearchRecursive (const Eigen::Vector3f &min_pt, const Eigen::Vector3f &max_pt, const BranchNode* node, 00436 const OctreeKey& key, unsigned int treeDepth, std::vector<int>& k_indices) const; 00437 00454 int 00455 getIntersectedVoxelIndicesRecursive (double minX, double minY, double minZ, 00456 double maxX, double maxY, double maxZ, 00457 unsigned char a, const OctreeNode* node, const OctreeKey& key, 00458 std::vector<int> &k_indices, 00459 int maxVoxelCount) 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-10f; 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 () = static_cast<float> (this->minX_) + static_cast<float> (this->maxX_) - origin.x (); 00494 direction.x () = -direction.x (); 00495 a |= 4; 00496 } 00497 if (direction.y () < 0.0) 00498 { 00499 origin.y () = static_cast<float> (this->minY_) + static_cast<float> (this->maxY_) - origin.y (); 00500 direction.y () = -direction.y (); 00501 a |= 2; 00502 } 00503 if (direction.z () < 0.0) 00504 { 00505 origin.z () = static_cast<float> (this->minZ_) + static_cast<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_
1.7.6.1