|
Point Cloud Library (PCL)
1.5.1
|
00001 /* 00002 * Software License Agreement (BSD License) 00003 * 00004 * Copyright (c) 2009, Willow Garage, Inc. 00005 * All rights reserved. 00006 * 00007 * Redistribution and use in source and binary forms, with or without 00008 * modification, are permitted provided that the following conditions 00009 * are met: 00010 * 00011 * * Redistributions of source code must retain the above copyright 00012 * notice, this list of conditions and the following disclaimer. 00013 * * Redistributions in binary form must reproduce the above 00014 * copyright notice, this list of conditions and the following 00015 * disclaimer in the documentation and/or other materials provided 00016 * with the distribution. 00017 * * Neither the name of Willow Garage, Inc. nor the names of its 00018 * contributors may be used to endorse or promote products derived 00019 * from this software without specific prior written permission. 00020 * 00021 * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS 00022 * "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT 00023 * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS 00024 * FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE 00025 * COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, 00026 * INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, 00027 * BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; 00028 * LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER 00029 * CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT 00030 * LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN 00031 * ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE 00032 * POSSIBILITY OF SUCH DAMAGE. 00033 * 00034 * $Id: approximate_voxel_grid.h 4702 2012-02-23 09:39:33Z gedikli $ 00035 * 00036 */ 00037 00038 #ifndef PCL_FILTERS_APPROXIMATE_VOXEL_GRID_MAP_H_ 00039 #define PCL_FILTERS_APPROXIMATE_VOXEL_GRID_MAP_H_ 00040 00041 #include "pcl/filters/filter.h" 00042 #include <boost/mpl/size.hpp> 00043 00044 namespace pcl 00045 { 00046 struct he 00047 { 00048 int ix, iy, iz; 00049 int count; 00050 Eigen::VectorXf centroid; 00051 }; 00052 00054 template <typename PointT> 00055 struct xNdCopyEigenPointFunctor 00056 { 00057 typedef typename traits::POD<PointT>::type Pod; 00058 00059 xNdCopyEigenPointFunctor (const Eigen::VectorXf &p1, PointT &p2) 00060 : p1_ (p1), 00061 p2_ (reinterpret_cast<Pod&>(p2)), 00062 f_idx_ (0) { } 00063 00064 template<typename Key> inline void operator() () 00065 { 00066 //boost::fusion::at_key<Key> (p2_) = p1_[f_idx_++]; 00067 typedef typename pcl::traits::datatype<PointT, Key>::type T; 00068 uint8_t* data_ptr = reinterpret_cast<uint8_t*>(&p2_) + pcl::traits::offset<PointT, Key>::value; 00069 *reinterpret_cast<T*>(data_ptr) = p1_[f_idx_++]; 00070 } 00071 00072 private: 00073 const Eigen::VectorXf &p1_; 00074 Pod &p2_; 00075 int f_idx_; 00076 }; 00077 00079 template <typename PointT> 00080 struct xNdCopyPointEigenFunctor 00081 { 00082 typedef typename traits::POD<PointT>::type Pod; 00083 00084 xNdCopyPointEigenFunctor (const PointT &p1, Eigen::VectorXf &p2) 00085 : p1_ (reinterpret_cast<const Pod&>(p1)), p2_ (p2), f_idx_ (0) { } 00086 00087 template<typename Key> inline void operator() () 00088 { 00089 //p2_[f_idx_++] = boost::fusion::at_key<Key> (p1_); 00090 typedef typename pcl::traits::datatype<PointT, Key>::type T; 00091 const uint8_t* data_ptr = reinterpret_cast<const uint8_t*>(&p1_) + pcl::traits::offset<PointT, Key>::value; 00092 p2_[f_idx_++] = *reinterpret_cast<const T*>(data_ptr); 00093 } 00094 00095 private: 00096 const Pod &p1_; 00097 Eigen::VectorXf &p2_; 00098 int f_idx_; 00099 }; 00100 00106 template <typename PointT> 00107 class ApproximateVoxelGrid: public Filter<PointT> 00108 { 00109 using Filter<PointT>::filter_name_; 00110 using Filter<PointT>::getClassName; 00111 using Filter<PointT>::input_; 00112 using Filter<PointT>::indices_; 00113 00114 typedef typename Filter<PointT>::PointCloud PointCloud; 00115 typedef typename PointCloud::Ptr PointCloudPtr; 00116 typedef typename PointCloud::ConstPtr PointCloudConstPtr; 00117 00118 public: 00120 ApproximateVoxelGrid () : downsample_all_data_ (true), histsize_ (512) 00121 { 00122 setLeafSize (1, 1, 1); 00123 filter_name_ = "ApproximateVoxelGrid"; 00124 history_ = new he[histsize_]; 00125 } 00126 00128 virtual ~ApproximateVoxelGrid () 00129 { 00130 } 00131 00135 inline void 00136 setLeafSize (const Eigen::Vector3f &leaf_size) 00137 { 00138 leaf_size_ = leaf_size; 00139 inverse_leaf_size_ = Eigen::Array3f::Ones () / leaf_size_.array (); 00140 } 00141 00147 inline void 00148 setLeafSize (float lx, float ly, float lz) 00149 { 00150 setLeafSize(Eigen::Vector3f(lx, ly, lz)); 00151 } 00152 00154 inline Eigen::Vector3f 00155 getLeafSize () { return leaf_size_; } 00156 00160 inline void 00161 setDownsampleAllData (bool downsample) { downsample_all_data_ = downsample; } 00162 00166 inline bool 00167 getDownsampleAllData () { return (downsample_all_data_); } 00168 00169 protected: 00171 Eigen::Vector3f leaf_size_; 00172 00174 Eigen::Array3f inverse_leaf_size_; 00175 00177 bool downsample_all_data_; 00178 00180 size_t histsize_; 00181 00183 struct he *history_; 00184 00185 typedef typename pcl::traits::fieldList<PointT>::type FieldList; 00186 00190 void 00191 applyFilter (PointCloud &output); 00192 00195 void flush(PointCloud &output, size_t op, he *hhe, int rgba_index, int centroid_size); 00196 }; 00197 } 00198 00199 #endif //#ifndef PCL_FILTERS_VOXEL_GRID_MAP_H_
1.8.0