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Point Cloud Library (PCL)
1.6.0
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00001 /* 00002 * Software License Agreement (BSD License) 00003 * 00004 * Point Cloud Library (PCL) - www.pointclouds.org 00005 * Copyright (c) 2010-2012, 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 * 00037 * 00038 */ 00039 00040 #ifndef PCL_SEGMENTATION_EUCLIDEAN_CLUSTER_COMPARATOR_H_ 00041 #define PCL_SEGMENTATION_EUCLIDEAN_CLUSTER_COMPARATOR_H_ 00042 00043 #include <pcl/segmentation/comparator.h> 00044 #include <boost/make_shared.hpp> 00045 00046 namespace pcl 00047 { 00053 template<typename PointT, typename PointNT, typename PointLT> 00054 class EuclideanClusterComparator: public Comparator<PointT> 00055 { 00056 public: 00057 typedef typename Comparator<PointT>::PointCloud PointCloud; 00058 typedef typename Comparator<PointT>::PointCloudConstPtr PointCloudConstPtr; 00059 00060 typedef typename pcl::PointCloud<PointNT> PointCloudN; 00061 typedef typename PointCloudN::Ptr PointCloudNPtr; 00062 typedef typename PointCloudN::ConstPtr PointCloudNConstPtr; 00063 00064 typedef typename pcl::PointCloud<PointLT> PointCloudL; 00065 typedef typename PointCloudL::Ptr PointCloudLPtr; 00066 typedef typename PointCloudL::ConstPtr PointCloudLConstPtr; 00067 00068 typedef boost::shared_ptr<EuclideanClusterComparator<PointT, PointNT, PointLT> > Ptr; 00069 typedef boost::shared_ptr<const EuclideanClusterComparator<PointT, PointNT, PointLT> > ConstPtr; 00070 00071 using pcl::Comparator<PointT>::input_; 00072 00074 EuclideanClusterComparator () 00075 : normals_ () 00076 , angular_threshold_ (0.0f) 00077 , distance_threshold_ (0.005f) 00078 , depth_dependent_ () 00079 , z_axis_ () 00080 { 00081 } 00082 00084 virtual 00085 ~EuclideanClusterComparator () 00086 { 00087 } 00088 00089 virtual void 00090 setInputCloud (const PointCloudConstPtr& cloud) 00091 { 00092 input_ = cloud; 00093 Eigen::Matrix3f rot = input_->sensor_orientation_.toRotationMatrix (); 00094 z_axis_ = rot.col (2); 00095 } 00096 00100 inline void 00101 setInputNormals (const PointCloudNConstPtr &normals) 00102 { 00103 normals_ = normals; 00104 } 00105 00107 inline PointCloudNConstPtr 00108 getInputNormals () const 00109 { 00110 return (normals_); 00111 } 00112 00116 virtual inline void 00117 setAngularThreshold (float angular_threshold) 00118 { 00119 angular_threshold_ = cosf (angular_threshold); 00120 } 00121 00123 inline float 00124 getAngularThreshold () const 00125 { 00126 return (acos (angular_threshold_) ); 00127 } 00128 00132 inline void 00133 setDistanceThreshold (float distance_threshold, bool depth_dependent) 00134 { 00135 distance_threshold_ = distance_threshold; 00136 depth_dependent_ = depth_dependent; 00137 } 00138 00140 inline float 00141 getDistanceThreshold () const 00142 { 00143 return (distance_threshold_); 00144 } 00145 00149 void 00150 setLabels (PointCloudLPtr& labels) 00151 { 00152 labels_ = labels; 00153 } 00154 00158 void 00159 setExcludeLabels (std::vector<bool>& exclude_labels) 00160 { 00161 exclude_labels_ = boost::make_shared<std::vector<bool> >(exclude_labels); 00162 } 00163 00169 virtual bool 00170 compare (int idx1, int idx2) const 00171 { 00172 int label1 = labels_->points[idx1].label; 00173 int label2 = labels_->points[idx2].label; 00174 00175 if (label1 == -1 || label2 == -1) 00176 return false; 00177 00178 if ( (*exclude_labels_)[label1] || (*exclude_labels_)[label2]) 00179 return false; 00180 00181 float dx = input_->points[idx1].x - input_->points[idx2].x; 00182 float dy = input_->points[idx1].y - input_->points[idx2].y; 00183 float dz = input_->points[idx1].z - input_->points[idx2].z; 00184 float dist = sqrt (dx*dx + dy*dy + dz*dz); 00185 00186 return (dist < distance_threshold_); 00187 } 00188 00189 protected: 00190 PointCloudNConstPtr normals_; 00191 PointCloudLPtr labels_; 00192 00193 boost::shared_ptr<std::vector<bool> > exclude_labels_; 00194 float angular_threshold_; 00195 float distance_threshold_; 00196 bool depth_dependent_; 00197 Eigen::Vector3f z_axis_; 00198 }; 00199 } 00200 00201 #endif // PCL_SEGMENTATION_PLANE_COEFFICIENT_COMPARATOR_H_
1.7.6.1