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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) 2010-2011, 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: intensity_gradient.h 6144 2012-07-04 22:06:28Z rusu $ 00037 * 00038 */ 00039 #ifndef PCL_INTENSITY_GRADIENT_H_ 00040 #define PCL_INTENSITY_GRADIENT_H_ 00041 00042 #include <pcl/features/feature.h> 00043 #include <pcl/common/intensity.h> 00044 00045 namespace pcl 00046 { 00054 template <typename PointInT, typename PointNT, typename PointOutT, typename IntensitySelectorT = pcl::common::IntensityFieldAccessor<PointInT> > 00055 class IntensityGradientEstimation : public FeatureFromNormals<PointInT, PointNT, PointOutT> 00056 { 00057 public: 00058 using Feature<PointInT, PointOutT>::feature_name_; 00059 using Feature<PointInT, PointOutT>::getClassName; 00060 using Feature<PointInT, PointOutT>::indices_; 00061 using Feature<PointInT, PointOutT>::surface_; 00062 using Feature<PointInT, PointOutT>::k_; 00063 using Feature<PointInT, PointOutT>::search_parameter_; 00064 using FeatureFromNormals<PointInT, PointNT, PointOutT>::normals_; 00065 00066 typedef typename Feature<PointInT, PointOutT>::PointCloudOut PointCloudOut; 00067 00069 IntensityGradientEstimation () 00070 { 00071 feature_name_ = "IntensityGradientEstimation"; 00072 threads_ = 1; 00073 }; 00074 00078 inline void 00079 setNumberOfThreads (int nr_threads) 00080 { 00081 threads_ = nr_threads == 0 ? 1 : nr_threads; 00082 } 00083 00084 protected: 00089 void 00090 computeFeature (PointCloudOut &output); 00091 00099 void 00100 computePointIntensityGradient (const pcl::PointCloud<PointInT> &cloud, 00101 const std::vector<int> &indices, 00102 const Eigen::Vector3f &point, 00103 float mean_intensity, 00104 const Eigen::Vector3f &normal, 00105 Eigen::Vector3f &gradient); 00106 00107 private: 00111 void 00112 computeFeatureEigen (pcl::PointCloud<Eigen::MatrixXf> &) {} 00113 00114 protected: 00116 IntensitySelectorT intensity_; 00118 int threads_; 00119 }; 00120 00128 template <typename PointInT, typename PointNT> 00129 class IntensityGradientEstimation<PointInT, PointNT, Eigen::MatrixXf>: public IntensityGradientEstimation<PointInT, PointNT, pcl::IntensityGradient> 00130 { 00131 public: 00132 using IntensityGradientEstimation<PointInT, PointNT, pcl::IntensityGradient>::indices_; 00133 using IntensityGradientEstimation<PointInT, PointNT, pcl::IntensityGradient>::normals_; 00134 using IntensityGradientEstimation<PointInT, PointNT, pcl::IntensityGradient>::input_; 00135 using IntensityGradientEstimation<PointInT, PointNT, pcl::IntensityGradient>::surface_; 00136 using IntensityGradientEstimation<PointInT, PointNT, pcl::IntensityGradient>::k_; 00137 using IntensityGradientEstimation<PointInT, PointNT, pcl::IntensityGradient>::search_parameter_; 00138 using IntensityGradientEstimation<PointInT, PointNT, pcl::IntensityGradient>::compute; 00139 00140 protected: 00145 void 00146 computeFeatureEigen (pcl::PointCloud<Eigen::MatrixXf> &output); 00147 00151 void 00152 compute (pcl::PointCloud<pcl::Normal> &) {} 00153 }; 00154 } 00155 00156 #endif // #ifndef PCL_INTENSITY_GRADIENT_H_
1.7.6.1