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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: sac_model_cylinder.h 4702 2012-02-23 09:39:33Z gedikli $ 00037 * 00038 */ 00039 00040 #ifndef PCL_SAMPLE_CONSENSUS_MODEL_CYLINDER_H_ 00041 #define PCL_SAMPLE_CONSENSUS_MODEL_CYLINDER_H_ 00042 00043 #include <pcl/sample_consensus/sac_model.h> 00044 #include <pcl/sample_consensus/model_types.h> 00045 #include <pcl/common/common.h> 00046 #include "pcl/common/distances.h" 00047 00048 namespace pcl 00049 { 00063 template <typename PointT, typename PointNT> 00064 class SampleConsensusModelCylinder : public SampleConsensusModel<PointT>, public SampleConsensusModelFromNormals<PointT, PointNT> 00065 { 00066 using SampleConsensusModel<PointT>::input_; 00067 using SampleConsensusModel<PointT>::indices_; 00068 using SampleConsensusModel<PointT>::radius_min_; 00069 using SampleConsensusModel<PointT>::radius_max_; 00070 using SampleConsensusModelFromNormals<PointT, PointNT>::normals_; 00071 using SampleConsensusModelFromNormals<PointT, PointNT>::normal_distance_weight_; 00072 00073 public: 00074 typedef typename SampleConsensusModel<PointT>::PointCloud PointCloud; 00075 typedef typename SampleConsensusModel<PointT>::PointCloudPtr PointCloudPtr; 00076 typedef typename SampleConsensusModel<PointT>::PointCloudConstPtr PointCloudConstPtr; 00077 00078 typedef boost::shared_ptr<SampleConsensusModelCylinder> Ptr; 00079 00083 SampleConsensusModelCylinder (const PointCloudConstPtr &cloud) : SampleConsensusModel<PointT> (cloud), eps_angle_ (0) 00084 { 00085 axis_.setZero (); 00086 } 00087 00092 SampleConsensusModelCylinder (const PointCloudConstPtr &cloud, const std::vector<int> &indices) : SampleConsensusModel<PointT> (cloud, indices), eps_angle_ (0) 00093 { 00094 axis_.setZero (); 00095 } 00096 00100 inline void 00101 setEpsAngle (const double ea) { eps_angle_ = ea; } 00102 00104 inline double 00105 getEpsAngle () { return (eps_angle_); } 00106 00110 inline void 00111 setAxis (const Eigen::Vector3f &ax) { axis_ = ax; } 00112 00114 inline Eigen::Vector3f 00115 getAxis () { return (axis_); } 00116 00122 void 00123 getSamples (int &iterations, std::vector<int> &samples); 00124 00131 bool 00132 computeModelCoefficients (const std::vector<int> &samples, 00133 Eigen::VectorXf &model_coefficients); 00134 00139 void 00140 getDistancesToModel (const Eigen::VectorXf &model_coefficients, 00141 std::vector<double> &distances); 00142 00148 void 00149 selectWithinDistance (const Eigen::VectorXf &model_coefficients, 00150 const double threshold, 00151 std::vector<int> &inliers); 00152 00159 virtual int 00160 countWithinDistance (const Eigen::VectorXf &model_coefficients, 00161 const double threshold); 00162 00169 void 00170 optimizeModelCoefficients (const std::vector<int> &inliers, 00171 const Eigen::VectorXf &model_coefficients, 00172 Eigen::VectorXf &optimized_coefficients); 00173 00174 00181 void 00182 projectPoints (const std::vector<int> &inliers, 00183 const Eigen::VectorXf &model_coefficients, 00184 PointCloud &projected_points, 00185 bool copy_data_fields = true); 00186 00192 bool 00193 doSamplesVerifyModel (const std::set<int> &indices, 00194 const Eigen::VectorXf &model_coefficients, 00195 const double threshold); 00196 00198 inline pcl::SacModel 00199 getModelType () const { return (SACMODEL_CYLINDER); } 00200 00201 protected: 00206 double 00207 pointToLineDistance (const Eigen::Vector4f &pt, const Eigen::VectorXf &model_coefficients); 00208 00215 inline void 00216 projectPointToLine (const Eigen::Vector4f &pt, 00217 const Eigen::Vector4f &line_pt, 00218 const Eigen::Vector4f &line_dir, 00219 Eigen::Vector4f &pt_proj) 00220 { 00221 double k = (pt.dot (line_dir) - line_pt.dot (line_dir)) / line_dir.dot (line_dir); 00222 // Calculate the projection of the point on the line 00223 pt_proj = line_pt + k * line_dir; 00224 } 00225 00232 void 00233 projectPointToCylinder (const Eigen::Vector4f &pt, 00234 const Eigen::VectorXf &model_coefficients, 00235 Eigen::Vector4f &pt_proj); 00236 00238 std::string 00239 getName () const { return ("SampleConsensusModelCylinder"); } 00240 00241 protected: 00245 bool 00246 isModelValid (const Eigen::VectorXf &model_coefficients); 00247 00252 bool 00253 isSampleGood (const std::vector<int> &samples) const; 00254 00255 private: 00257 Eigen::Vector3f axis_; 00258 00260 double eps_angle_; 00261 00263 const std::vector<int> *tmp_inliers_; 00264 00266 struct OptimizationFunctor : pcl::Functor<float> 00267 { 00273 OptimizationFunctor (int m_data_points, pcl::SampleConsensusModelCylinder<PointT, PointNT> *model) : 00274 pcl::Functor<float> (m_data_points), model_ (model) {} 00275 00281 int 00282 operator() (const Eigen::VectorXf &x, Eigen::VectorXf &fvec) const 00283 { 00284 Eigen::Vector4f line_pt (x[0], x[1], x[2], 0); 00285 Eigen::Vector4f line_dir (x[3], x[4], x[5], 0); 00286 00287 for (int i = 0; i < values (); ++i) 00288 { 00289 // dist = f - r 00290 Eigen::Vector4f pt (model_->input_->points[(*model_->tmp_inliers_)[i]].x, 00291 model_->input_->points[(*model_->tmp_inliers_)[i]].y, 00292 model_->input_->points[(*model_->tmp_inliers_)[i]].z, 0); 00293 00294 fvec[i] = pcl::sqrPointToLineDistance (pt, line_pt, line_dir) - x[6]*x[6]; 00295 } 00296 return (0); 00297 } 00298 00299 pcl::SampleConsensusModelCylinder<PointT, PointNT> *model_; 00300 }; 00301 }; 00302 } 00303 00304 #endif //#ifndef PCL_SAMPLE_CONSENSUS_MODEL_CYLINDER_H_
1.8.0