|
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: plane_coefficient_comparator.h 5494 2012-04-04 02:12:25Z rusu $ 00037 * 00038 */ 00039 00040 #ifndef PCL_SEGMENTATION_PLANE_COEFFICIENT_COMPARATOR_H_ 00041 #define PCL_SEGMENTATION_PLANE_COEFFICIENT_COMPARATOR_H_ 00042 00043 #include <pcl/common/angles.h> 00044 #include <pcl/segmentation/comparator.h> 00045 #include <boost/make_shared.hpp> 00046 00047 namespace pcl 00048 { 00054 template<typename PointT, typename PointNT> 00055 class PlaneCoefficientComparator: public Comparator<PointT> 00056 { 00057 public: 00058 typedef typename Comparator<PointT>::PointCloud PointCloud; 00059 typedef typename Comparator<PointT>::PointCloudConstPtr PointCloudConstPtr; 00060 00061 typedef typename pcl::PointCloud<PointNT> PointCloudN; 00062 typedef typename PointCloudN::Ptr PointCloudNPtr; 00063 typedef typename PointCloudN::ConstPtr PointCloudNConstPtr; 00064 00065 typedef boost::shared_ptr<PlaneCoefficientComparator<PointT, PointNT> > Ptr; 00066 typedef boost::shared_ptr<const PlaneCoefficientComparator<PointT, PointNT> > ConstPtr; 00067 00068 using pcl::Comparator<PointT>::input_; 00069 00071 PlaneCoefficientComparator () 00072 : normals_ () 00073 , plane_coeff_d_ () 00074 , angular_threshold_ (pcl::deg2rad (2.0f)) 00075 , distance_threshold_ (0.02f) 00076 , depth_dependent_ (true) 00077 , z_axis_ (Eigen::Vector3f (0.0, 0.0, 1.0) ) 00078 { 00079 } 00080 00084 PlaneCoefficientComparator (boost::shared_ptr<std::vector<float> >& plane_coeff_d) 00085 : normals_ () 00086 , plane_coeff_d_ (plane_coeff_d) 00087 , angular_threshold_ (pcl::deg2rad (2.0f)) 00088 , distance_threshold_ (0.02f) 00089 , depth_dependent_ (true) 00090 , z_axis_ (Eigen::Vector3f (0.0f, 0.0f, 1.0f) ) 00091 { 00092 } 00093 00095 virtual 00096 ~PlaneCoefficientComparator () 00097 { 00098 } 00099 00100 virtual void 00101 setInputCloud (const PointCloudConstPtr& cloud) 00102 { 00103 input_ = cloud; 00104 } 00105 00109 inline void 00110 setInputNormals (const PointCloudNConstPtr &normals) 00111 { 00112 normals_ = normals; 00113 } 00114 00116 inline PointCloudNConstPtr 00117 getInputNormals () const 00118 { 00119 return (normals_); 00120 } 00121 00125 void 00126 setPlaneCoeffD (boost::shared_ptr<std::vector<float> >& plane_coeff_d) 00127 { 00128 plane_coeff_d_ = plane_coeff_d; 00129 } 00130 00134 void 00135 setPlaneCoeffD (std::vector<float>& plane_coeff_d) 00136 { 00137 plane_coeff_d_ = boost::make_shared<std::vector<float> >(plane_coeff_d); 00138 } 00139 00141 const std::vector<float>& 00142 getPlaneCoeffD () const 00143 { 00144 return (plane_coeff_d_); 00145 } 00146 00150 virtual void 00151 setAngularThreshold (float angular_threshold) 00152 { 00153 angular_threshold_ = cosf (angular_threshold); 00154 } 00155 00157 inline float 00158 getAngularThreshold () const 00159 { 00160 return (acosf (angular_threshold_) ); 00161 } 00162 00167 void 00168 setDistanceThreshold (float distance_threshold, 00169 bool depth_dependent = false) 00170 { 00171 distance_threshold_ = distance_threshold; 00172 depth_dependent_ = depth_dependent; 00173 } 00174 00176 inline float 00177 getDistanceThreshold () const 00178 { 00179 return (distance_threshold_); 00180 } 00181 00187 virtual bool 00188 compare (int idx1, int idx2) const 00189 { 00190 float threshold = distance_threshold_; 00191 if (depth_dependent_) 00192 { 00193 Eigen::Vector3f vec = input_->points[idx1].getVector3fMap (); 00194 00195 float z = vec.dot (z_axis_); 00196 threshold *= z * z; 00197 } 00198 return ( (fabs ((*plane_coeff_d_)[idx1] - (*plane_coeff_d_)[idx2]) < threshold) 00199 && (normals_->points[idx1].getNormalVector3fMap ().dot (normals_->points[idx2].getNormalVector3fMap () ) > angular_threshold_ ) ); 00200 } 00201 00202 protected: 00203 PointCloudNConstPtr normals_; 00204 boost::shared_ptr<std::vector<float> > plane_coeff_d_; 00205 float angular_threshold_; 00206 float distance_threshold_; 00207 bool depth_dependent_; 00208 Eigen::Vector3f z_axis_; 00209 00210 public: 00211 EIGEN_MAKE_ALIGNED_OPERATOR_NEW 00212 }; 00213 } 00214 00215 #endif // PCL_SEGMENTATION_PLANE_COEFFICIENT_COMPARATOR_H_
1.7.6.1