|
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) 2010-2011, Willow Garage, Inc. 00006 * Copyright (c) 2012-, Open Perception, Inc. 00007 * 00008 * All rights reserved. 00009 * 00010 * Redistribution and use in source and binary forms, with or without 00011 * modification, are permitted provided that the following conditions 00012 * are met: 00013 * 00014 * * Redistributions of source code must retain the above copyright 00015 * notice, this list of conditions and the following disclaimer. 00016 * * Redistributions in binary form must reproduce the above 00017 * copyright notice, this list of conditions and the following 00018 * disclaimer in the documentation and/or other materials provided 00019 * with the distribution. 00020 * * Neither the name of the copyright holder(s) nor the names of its 00021 * contributors may be used to endorse or promote products derived 00022 * from this software without specific prior written permission. 00023 * 00024 * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS 00025 * "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT 00026 * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS 00027 * FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE 00028 * COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, 00029 * INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, 00030 * BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; 00031 * LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER 00032 * CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT 00033 * LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN 00034 * ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE 00035 * POSSIBILITY OF SUCH DAMAGE. 00036 * 00037 * $Id: vfh.h 6144 2012-07-04 22:06:28Z rusu $ 00038 * 00039 */ 00040 00041 #ifndef PCL_FEATURES_VFH_H_ 00042 #define PCL_FEATURES_VFH_H_ 00043 00044 #include <pcl/point_types.h> 00045 #include <pcl/features/feature.h> 00046 00047 namespace pcl 00048 { 00070 template<typename PointInT, typename PointNT, typename PointOutT = pcl::VFHSignature308> 00071 class VFHEstimation : public FeatureFromNormals<PointInT, PointNT, PointOutT> 00072 { 00073 public: 00074 using Feature<PointInT, PointOutT>::feature_name_; 00075 using Feature<PointInT, PointOutT>::getClassName; 00076 using Feature<PointInT, PointOutT>::indices_; 00077 using Feature<PointInT, PointOutT>::k_; 00078 using Feature<PointInT, PointOutT>::search_radius_; 00079 using Feature<PointInT, PointOutT>::input_; 00080 using Feature<PointInT, PointOutT>::surface_; 00081 using FeatureFromNormals<PointInT, PointNT, PointOutT>::normals_; 00082 00083 typedef typename Feature<PointInT, PointOutT>::PointCloudOut PointCloudOut; 00084 typedef typename boost::shared_ptr<VFHEstimation<PointInT, PointNT, PointOutT> > Ptr; 00085 typedef typename boost::shared_ptr<const VFHEstimation<PointInT, PointNT, PointOutT> > ConstPtr; 00086 00087 00089 VFHEstimation () : 00090 nr_bins_f1_ (45), nr_bins_f2_ (45), nr_bins_f3_ (45), nr_bins_f4_ (45), nr_bins_vp_ (128), 00091 vpx_ (0), vpy_ (0), vpz_ (0), 00092 hist_f1_ (), hist_f2_ (), hist_f3_ (), hist_f4_ (), hist_vp_ (), 00093 normal_to_use_ (), centroid_to_use_ (), use_given_normal_ (false), use_given_centroid_ (false), 00094 normalize_bins_ (true), normalize_distances_ (false), size_component_ (false), 00095 d_pi_ (1.0f / (2.0f * static_cast<float> (M_PI))) 00096 { 00097 hist_f1_.setZero (nr_bins_f1_); 00098 hist_f2_.setZero (nr_bins_f2_); 00099 hist_f3_.setZero (nr_bins_f3_); 00100 hist_f4_.setZero (nr_bins_f4_); 00101 search_radius_ = 0; 00102 k_ = 0; 00103 feature_name_ = "VFHEstimation"; 00104 } 00105 00114 void 00115 computePointSPFHSignature (const Eigen::Vector4f ¢roid_p, const Eigen::Vector4f ¢roid_n, 00116 const pcl::PointCloud<PointInT> &cloud, const pcl::PointCloud<PointNT> &normals, 00117 const std::vector<int> &indices); 00118 00124 inline void 00125 setViewPoint (float vpx, float vpy, float vpz) 00126 { 00127 vpx_ = vpx; 00128 vpy_ = vpy; 00129 vpz_ = vpz; 00130 } 00131 00133 inline void 00134 getViewPoint (float &vpx, float &vpy, float &vpz) 00135 { 00136 vpx = vpx_; 00137 vpy = vpy_; 00138 vpz = vpz_; 00139 } 00140 00144 inline void 00145 setUseGivenNormal (bool use) 00146 { 00147 use_given_normal_ = use; 00148 } 00149 00154 inline void 00155 setNormalToUse (const Eigen::Vector3f &normal) 00156 { 00157 normal_to_use_ = Eigen::Vector4f (normal[0], normal[1], normal[2], 0); 00158 } 00159 00163 inline void 00164 setUseGivenCentroid (bool use) 00165 { 00166 use_given_centroid_ = use; 00167 } 00168 00173 inline void 00174 setCentroidToUse (const Eigen::Vector3f ¢roid) 00175 { 00176 centroid_to_use_ = Eigen::Vector4f (centroid[0], centroid[1], centroid[2], 0); 00177 } 00178 00182 inline void 00183 setNormalizeBins (bool normalize) 00184 { 00185 normalize_bins_ = normalize; 00186 } 00187 00192 inline void 00193 setNormalizeDistance (bool normalize) 00194 { 00195 normalize_distances_ = normalize; 00196 } 00197 00202 inline void 00203 setFillSizeComponent (bool fill_size) 00204 { 00205 size_component_ = fill_size; 00206 } 00207 00211 void 00212 compute (PointCloudOut &output); 00213 00214 private: 00215 00217 int nr_bins_f1_, nr_bins_f2_, nr_bins_f3_, nr_bins_f4_, nr_bins_vp_; 00218 00222 float vpx_, vpy_, vpz_; 00223 00229 void 00230 computeFeature (PointCloudOut &output); 00231 00232 protected: 00234 bool 00235 initCompute (); 00236 00238 Eigen::VectorXf hist_f1_; 00240 Eigen::VectorXf hist_f2_; 00242 Eigen::VectorXf hist_f3_; 00244 Eigen::VectorXf hist_f4_; 00246 Eigen::VectorXf hist_vp_; 00247 00249 Eigen::Vector4f normal_to_use_; 00251 Eigen::Vector4f centroid_to_use_; 00252 00253 // VFH configuration parameters because CVFH instantiates it. See constructor for default values. 00254 00256 bool use_given_normal_; 00258 bool use_given_centroid_; 00260 bool normalize_bins_; 00262 bool normalize_distances_; 00264 bool size_component_; 00265 00266 private: 00268 float d_pi_; 00269 00273 void 00274 computeFeatureEigen (pcl::PointCloud<Eigen::MatrixXf> &) {} 00275 }; 00276 00292 // template<typename PointInT, typename PointNT> 00293 // class VFHEstimation<PointInT, PointNT, Eigen::MatrixXf> : public VFHEstimation<PointInT, PointNT, pcl::VFHSignature263> 00294 // { 00295 // public: 00303 // 00304 // private: 00305 // /** \brief Estimate the Viewpoint Feature Histograms (VFH) descriptors at a set of points given by 00306 // * <setInputCloud (), setIndices ()> using the surface in setSearchSurface () and the spatial locator in 00307 // * setSearchMethod () 00308 // * \param[out] output the resultant point cloud model dataset that contains the VFH feature estimates 00309 // */ 00310 // void 00311 // computeFeature (pcl::PointCloud<Eigen::MatrixXf> &output); 00312 // 00313 // /** \brief Make the compute (&PointCloudOut); inaccessible from outside the class 00314 // * \param[out] output the output point cloud 00315 // */ 00316 // void 00317 // compute (pcl::PointCloud<pcl::Normal> &output) {} 00318 // }; 00319 } 00320 00321 #endif //#ifndef PCL_FEATURES_VFH_H_
1.7.6.1