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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 * $Id: extract_clusters.h 5027 2012-03-12 03:10:45Z rusu $ 00037 * 00038 */ 00039 00040 #ifndef PCL_SEGMENTATION_EDGE_AWARE_PLANE_COMPARATOR_H_ 00041 #define PCL_SEGMENTATION_EDGE_AWARE_PLANE_COMPARATOR_H_ 00042 00043 #include <pcl/segmentation/plane_coefficient_comparator.h> 00044 #include <boost/make_shared.hpp> 00045 00046 namespace pcl 00047 { 00054 template<typename PointT, typename PointNT> 00055 class EdgeAwarePlaneComparator: public PlaneCoefficientComparator<PointT, PointNT> 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<EdgeAwarePlaneComparator<PointT, PointNT> > Ptr; 00066 typedef boost::shared_ptr<const EdgeAwarePlaneComparator<PointT, PointNT> > ConstPtr; 00067 00068 using pcl::PlaneCoefficientComparator<PointT, PointNT>::input_; 00069 using pcl::PlaneCoefficientComparator<PointT, PointNT>::normals_; 00070 using pcl::PlaneCoefficientComparator<PointT, PointNT>::plane_coeff_d_; 00071 using pcl::PlaneCoefficientComparator<PointT, PointNT>::angular_threshold_; 00072 using pcl::PlaneCoefficientComparator<PointT, PointNT>::distance_threshold_; 00073 00075 EdgeAwarePlaneComparator () 00076 { 00077 } 00078 00082 EdgeAwarePlaneComparator (const float *distance_map) : 00083 distance_map_ (distance_map) 00084 { 00085 } 00086 00088 virtual 00089 ~EdgeAwarePlaneComparator () 00090 { 00091 } 00092 00097 inline void 00098 setDistanceMap (const float *distance_map) 00099 { 00100 distance_map_ = distance_map; 00101 } 00102 00104 const float* 00105 getDistanceMap () const 00106 { 00107 return (distance_map_); 00108 } 00109 00110 protected: 00115 bool 00116 compare (int idx1, int idx2) const 00117 { 00118 float dx = input_->points[idx1].x - input_->points[idx2].x; 00119 float dy = input_->points[idx1].y - input_->points[idx2].y; 00120 float dz = input_->points[idx1].z - input_->points[idx2].z; 00121 float dist = sqrtf (dx*dx + dy*dy + dz*dz); 00122 00123 bool normal_ok = (normals_->points[idx1].getNormalVector3fMap ().dot (normals_->points[idx2].getNormalVector3fMap () ) > angular_threshold_ ); 00124 bool dist_ok = (dist < distance_threshold_); 00125 00126 bool curvature_ok = normals_->points[idx1].curvature < 0.04; 00127 bool plane_d_ok = fabs ((*plane_coeff_d_)[idx1] - (*plane_coeff_d_)[idx2]) < 0.04; 00128 00129 if (distance_map_[idx1] < 5) // 5 pixels 00130 curvature_ok = false; 00131 00132 return (dist_ok && normal_ok && curvature_ok && plane_d_ok); 00133 } 00134 00135 protected: 00136 const float* distance_map_; 00137 }; 00138 } 00139 00140 #endif // PCL_SEGMENTATION_PLANE_COEFFICIENT_COMPARATOR_H_
1.7.6.1