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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 */ 00037 00038 #ifndef PCL_SEARCH_BRUTE_FORCE_H_ 00039 #define PCL_SEARCH_BRUTE_FORCE_H_ 00040 00041 #include <pcl/search/search.h> 00042 00043 namespace pcl 00044 { 00045 namespace search 00046 { 00051 template<typename PointT> 00052 class BruteForce: public Search<PointT> 00053 { 00054 typedef typename Search<PointT>::PointCloud PointCloud; 00055 typedef typename Search<PointT>::PointCloudConstPtr PointCloudConstPtr; 00056 00057 typedef boost::shared_ptr<std::vector<int> > IndicesPtr; 00058 typedef boost::shared_ptr<const std::vector<int> > IndicesConstPtr; 00059 00060 using pcl::search::Search<PointT>::input_; 00061 using pcl::search::Search<PointT>::indices_; 00062 using pcl::search::Search<PointT>::sorted_results_; 00063 00064 struct Entry 00065 { 00066 Entry (int idx, float dist) : index (idx), distance (dist) {} 00067 Entry () {} 00068 unsigned index; 00069 float distance; 00070 bool operator < (const Entry& other) const 00071 { 00072 return distance < other.distance; 00073 } 00074 bool operator > (const Entry& other) const 00075 { 00076 return distance > other.distance; 00077 } 00078 }; 00079 00080 // replace by some metric functor 00081 float getDistSqr (const PointT& point1, const PointT& point2) const; 00082 public: 00083 BruteForce (bool sorted_results = false) 00084 : Search<PointT> ("BruteForce", sorted_results) 00085 { 00086 } 00087 00089 virtual 00090 ~BruteForce () 00091 { 00092 } 00093 00102 int 00103 nearestKSearch (const PointT &point, int k, std::vector<int> &k_indices, std::vector<float> &k_distances) const; 00104 00115 int 00116 radiusSearch (const PointT& point, double radius, 00117 std::vector<int> &k_indices, std::vector<float> &k_sqr_distances, 00118 unsigned int max_nn = 0) const; 00119 00120 private: 00121 int 00122 denseKSearch (const PointT &point, int k, std::vector<int> &k_indices, std::vector<float> &k_distances) const; 00123 00124 int 00125 sparseKSearch (const PointT &point, int k, std::vector<int> &k_indices, std::vector<float> &k_distances) const; 00126 00127 int 00128 denseRadiusSearch (const PointT& point, double radius, 00129 std::vector<int> &k_indices, std::vector<float> &k_sqr_distances, 00130 unsigned int max_nn = 0) const; 00131 00132 int 00133 sparseRadiusSearch (const PointT& point, double radius, 00134 std::vector<int> &k_indices, std::vector<float> &k_sqr_distances, 00135 unsigned int max_nn = 0) const; 00136 }; 00137 } 00138 } 00139 00140 #endif // PCL_SEARCH_BRUTE_FORCE_H_
1.8.0