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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) 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: 3dsc.h 3755 2011-12-31 23:45:30Z rusu $ 00037 * 00038 */ 00039 00040 #ifndef PCL_FEATURES_3DSC_H_ 00041 #define PCL_FEATURES_3DSC_H_ 00042 00043 #include <pcl/point_types.h> 00044 #include <pcl/features/feature.h> 00045 #include <boost/random.hpp> 00046 00047 namespace pcl 00048 { 00074 template <typename PointInT, typename PointNT, typename PointOutT> 00075 class ShapeContext3DEstimation : public FeatureFromNormals<PointInT, PointNT, PointOutT> 00076 { 00077 public: 00078 using Feature<PointInT, PointOutT>::feature_name_; 00079 using Feature<PointInT, PointOutT>::getClassName; 00080 using Feature<PointInT, PointOutT>::indices_; 00081 using Feature<PointInT, PointOutT>::search_parameter_; 00082 using Feature<PointInT, PointOutT>::search_radius_; 00083 using Feature<PointInT, PointOutT>::surface_; 00084 using Feature<PointInT, PointOutT>::input_; 00085 using Feature<PointInT, PointOutT>::searchForNeighbors; 00086 using FeatureFromNormals<PointInT, PointNT, PointOutT>::normals_; 00087 00088 typedef typename Feature<PointInT, PointOutT>::PointCloudOut PointCloudOut; 00089 typedef typename Feature<PointInT, PointOutT>::PointCloudIn PointCloudIn; 00090 00095 ShapeContext3DEstimation (bool random = false) : 00096 radii_interval_(0), theta_divisions_(0), phi_divisions_(0), volume_lut_(0), 00097 azimuth_bins_(12), elevation_bins_(11), radius_bins_(15), 00098 min_radius_(0.1), point_density_radius_(0.2) 00099 { 00100 feature_name_ = "ShapeContext3DEstimation"; 00101 search_radius_ = 2.5; 00102 00103 // Create a random number generator object 00104 rng_.reset (new boost::uniform_01<boost::mt19937> (rng_alg_)); 00105 if (random) 00106 rng_->base ().seed (static_cast<unsigned> (std::time(0))); 00107 else 00108 rng_->base ().seed (12345u); 00109 } 00110 00111 virtual ~ShapeContext3DEstimation() {} 00112 00116 inline void 00117 setAzimuthBins (size_t bins) { azimuth_bins_ = bins; } 00118 00120 inline size_t 00121 getAzimuthBins () { return (azimuth_bins_); } 00122 00126 inline void 00127 setElevationBins (size_t bins) { elevation_bins_ = bins; } 00128 00130 inline size_t 00131 getElevationBins () { return (elevation_bins_); } 00132 00136 inline void 00137 setRadiusBins (size_t bins) { radius_bins_ = bins; } 00138 00140 inline size_t 00141 getRadiusBins () { return (radius_bins_); } 00142 00146 inline void 00147 setMinimalRadius (float radius) { min_radius_ = radius; } 00148 00150 inline float 00151 getMinimalRadius () { return (min_radius_); } 00152 00157 inline void 00158 setPointDensityRadius (double radius) { point_density_radius_ = radius; } 00159 00161 inline double 00162 getPointDensityRadius () { return (point_density_radius_); } 00163 00164 protected: 00166 bool 00167 initCompute (); 00168 00177 bool 00178 computePoint (size_t index, const pcl::PointCloud<PointNT> &normals, float rf[9], std::vector<float> &desc); 00179 00183 void 00184 computeFeature (PointCloudOut &output); 00185 00187 std::vector<float> radii_interval_; 00188 00190 std::vector<float> theta_divisions_; 00191 00193 std::vector<float> phi_divisions_; 00194 00196 std::vector<float> volume_lut_; 00197 00199 size_t azimuth_bins_; 00200 00202 size_t elevation_bins_; 00203 00205 size_t radius_bins_; 00206 00208 double min_radius_; 00209 00211 double point_density_radius_; 00212 00214 size_t descriptor_length_; 00215 00217 boost::mt19937 rng_alg_; 00218 00220 boost::shared_ptr<boost::uniform_01<boost::mt19937> > rng_; 00221 00227 void 00228 shiftAlongAzimuth (size_t block_size, std::vector<float>& desc); 00229 00231 inline double 00232 rnd () 00233 { 00234 return ((*rng_) ()); 00235 } 00236 private: 00240 void 00241 computeFeature (pcl::PointCloud<Eigen::MatrixXf> &output) {} 00242 }; 00243 00269 template <typename PointInT, typename PointNT> 00270 class ShapeContext3DEstimation<PointInT, PointNT, Eigen::MatrixXf> : public ShapeContext3DEstimation<PointInT, PointNT, pcl::SHOT> 00271 { 00272 public: 00273 using ShapeContext3DEstimation<PointInT, PointNT, pcl::SHOT>::feature_name_; 00274 using ShapeContext3DEstimation<PointInT, PointNT, pcl::SHOT>::indices_; 00275 using ShapeContext3DEstimation<PointInT, PointNT, pcl::SHOT>::descriptor_length_; 00276 using ShapeContext3DEstimation<PointInT, PointNT, pcl::SHOT>::normals_; 00277 using ShapeContext3DEstimation<PointInT, PointNT, pcl::SHOT>::input_; 00278 using ShapeContext3DEstimation<PointInT, PointNT, pcl::SHOT>::compute; 00279 00280 private: 00284 void 00285 computeFeature (pcl::PointCloud<Eigen::MatrixXf> &output); 00286 00290 void 00291 compute (pcl::PointCloud<pcl::SHOT> &output) {} 00292 }; 00293 } 00294 00295 #endif //#ifndef PCL_3DSC_H_
1.7.6.1