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Point Cloud Library (PCL)
1.5.1
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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: principal_curvatures.h 4702 2012-02-23 09:39:33Z gedikli $ 00037 * 00038 */ 00039 00040 #ifndef PCL_PRINCIPAL_CURVATURES_H_ 00041 #define PCL_PRINCIPAL_CURVATURES_H_ 00042 00043 #include <Eigen/StdVector> 00044 #include <Eigen/Sparse> 00045 #include <pcl/features/feature.h> 00046 00047 namespace pcl 00048 { 00060 template <typename PointInT, typename PointNT, typename PointOutT = pcl::PrincipalCurvatures> 00061 class PrincipalCurvaturesEstimation : public FeatureFromNormals<PointInT, PointNT, PointOutT> 00062 { 00063 public: 00064 using Feature<PointInT, PointOutT>::feature_name_; 00065 using Feature<PointInT, PointOutT>::getClassName; 00066 using Feature<PointInT, PointOutT>::indices_; 00067 using Feature<PointInT, PointOutT>::k_; 00068 using Feature<PointInT, PointOutT>::search_parameter_; 00069 using Feature<PointInT, PointOutT>::surface_; 00070 using Feature<PointInT, PointOutT>::input_; 00071 using FeatureFromNormals<PointInT, PointNT, PointOutT>::normals_; 00072 00073 typedef typename Feature<PointInT, PointOutT>::PointCloudOut PointCloudOut; 00074 typedef pcl::PointCloud<PointInT> PointCloudIn; 00075 00077 PrincipalCurvaturesEstimation () 00078 { 00079 feature_name_ = "PrincipalCurvaturesEstimation"; 00080 }; 00081 00094 void 00095 computePointPrincipalCurvatures (const pcl::PointCloud<PointNT> &normals, 00096 int p_idx, const std::vector<int> &indices, 00097 float &pcx, float &pcy, float &pcz, float &pc1, float &pc2); 00098 00099 protected: 00100 00106 void 00107 computeFeature (PointCloudOut &output); 00108 00109 private: 00111 std::vector<Eigen::Vector3f> projected_normals_; 00112 00114 Eigen::Vector3f xyz_centroid_; 00115 00117 Eigen::Vector3f demean_; 00118 00120 EIGEN_ALIGN16 Eigen::Matrix3f covariance_matrix_; 00121 00123 Eigen::Vector3f eigenvector_; 00125 Eigen::Vector3f eigenvalues_; 00126 00130 void 00131 computeFeatureEigen (pcl::PointCloud<Eigen::MatrixXf> &output) {} 00132 }; 00133 00143 template <typename PointInT, typename PointNT> 00144 class PrincipalCurvaturesEstimation<PointInT, PointNT, Eigen::MatrixXf> : public PrincipalCurvaturesEstimation<PointInT, PointNT, pcl::PrincipalCurvatures> 00145 { 00146 public: 00147 using PrincipalCurvaturesEstimation<PointInT, PointNT, pcl::PrincipalCurvatures>::indices_; 00148 using PrincipalCurvaturesEstimation<PointInT, PointNT, pcl::PrincipalCurvatures>::k_; 00149 using PrincipalCurvaturesEstimation<PointInT, PointNT, pcl::PrincipalCurvatures>::search_parameter_; 00150 using PrincipalCurvaturesEstimation<PointInT, PointNT, pcl::PrincipalCurvatures>::surface_; 00151 using PrincipalCurvaturesEstimation<PointInT, PointNT, pcl::PrincipalCurvatures>::compute; 00152 using PrincipalCurvaturesEstimation<PointInT, PointNT, pcl::PrincipalCurvatures>::input_; 00153 using PrincipalCurvaturesEstimation<PointInT, PointNT, pcl::PrincipalCurvatures>::normals_; 00154 00155 private: 00161 void 00162 computeFeatureEigen (pcl::PointCloud<Eigen::MatrixXf> &output); 00163 00167 void 00168 compute (pcl::PointCloud<pcl::Normal> &output) {} 00169 }; 00170 } 00171 00172 #endif //#ifndef PCL_PRINCIPAL_CURVATURES_H_
1.8.0