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Point Cloud Library (PCL)
1.4.0
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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: normal_3d.h 3755 2011-12-31 23:45:30Z rusu $ 00037 * 00038 */ 00039 00040 #ifndef PCL_NORMAL_3D_H_ 00041 #define PCL_NORMAL_3D_H_ 00042 00043 #include <pcl/features/feature.h> 00044 00045 namespace pcl 00046 { 00057 template <typename PointT> inline void 00058 computePointNormal (const pcl::PointCloud<PointT> &cloud, 00059 Eigen::Vector4f &plane_parameters, float &curvature) 00060 { 00061 if (cloud.points.empty ()) 00062 { 00063 plane_parameters.setConstant (std::numeric_limits<float>::quiet_NaN ()); 00064 curvature = std::numeric_limits<float>::quiet_NaN (); 00065 return; 00066 } 00067 // Placeholder for the 3x3 covariance matrix at each surface patch 00068 EIGEN_ALIGN16 Eigen::Matrix3f covariance_matrix; 00069 // 16-bytes aligned placeholder for the XYZ centroid of a surface patch 00070 Eigen::Vector4f xyz_centroid; 00071 00072 // Estimate the XYZ centroid 00073 compute3DCentroid (cloud, xyz_centroid); 00074 00075 // Compute the 3x3 covariance matrix 00076 computeCovarianceMatrix (cloud, xyz_centroid, covariance_matrix); 00077 00078 // Get the plane normal and surface curvature 00079 solvePlaneParameters (covariance_matrix, xyz_centroid, plane_parameters, curvature); 00080 } 00081 00093 template <typename PointT> inline void 00094 computePointNormal (const pcl::PointCloud<PointT> &cloud, const std::vector<int> &indices, 00095 Eigen::Vector4f &plane_parameters, float &curvature) 00096 { 00097 if (indices.empty ()) 00098 { 00099 plane_parameters.setConstant (std::numeric_limits<float>::quiet_NaN ()); 00100 curvature = std::numeric_limits<float>::quiet_NaN (); 00101 return; 00102 } 00103 // Placeholder for the 3x3 covariance matrix at each surface patch 00104 EIGEN_ALIGN16 Eigen::Matrix3f covariance_matrix; 00105 // 16-bytes aligned placeholder for the XYZ centroid of a surface patch 00106 Eigen::Vector4f xyz_centroid; 00107 00108 // Estimate the XYZ centroid 00109 compute3DCentroid (cloud, indices, xyz_centroid); 00110 00111 // Compute the 3x3 covariance matrix 00112 computeCovarianceMatrix (cloud, indices, xyz_centroid, covariance_matrix); 00113 00114 // Get the plane normal and surface curvature 00115 solvePlaneParameters (covariance_matrix, xyz_centroid, plane_parameters, curvature); 00116 } 00117 00126 template <typename PointT> inline void 00127 flipNormalTowardsViewpoint (const PointT &point, float vp_x, float vp_y, float vp_z, 00128 Eigen::Vector4f &normal) 00129 { 00130 Eigen::Vector4f vp (vp_x, vp_y, vp_z, 0); 00131 // See if we need to flip any plane normals 00132 vp -= point.getVector4fMap (); 00133 vp[3] = 0; // enforce the last coordinate 00134 00135 // Dot product between the (viewpoint - point) and the plane normal 00136 float cos_theta = vp.dot (normal); 00137 00138 // Flip the plane normal 00139 if (cos_theta < 0) 00140 { 00141 normal *= -1; 00142 normal[3] = 0; // enforce the last coordinate; 00143 // Hessian form (D = nc . p_plane (centroid here) + p) 00144 normal[3] = -1 * normal.dot (point.getVector4fMap ()); 00145 } 00146 } 00147 00158 template <typename PointT> inline void 00159 flipNormalTowardsViewpoint (const PointT &point, float vp_x, float vp_y, float vp_z, 00160 float &nx, float &ny, float &nz) 00161 { 00162 // See if we need to flip any plane normals 00163 vp_x -= point.x; 00164 vp_y -= point.y; 00165 vp_z -= point.z; 00166 00167 // Dot product between the (viewpoint - point) and the plane normal 00168 float cos_theta = (vp_x * nx + vp_y * ny + vp_z * nz); 00169 00170 // Flip the plane normal 00171 if (cos_theta < 0) 00172 { 00173 nx *= -1; 00174 ny *= -1; 00175 nz *= -1; 00176 } 00177 } 00178 00187 template <typename PointInT, typename PointOutT> 00188 class NormalEstimation: public Feature<PointInT, PointOutT> 00189 { 00190 public: 00191 using Feature<PointInT, PointOutT>::feature_name_; 00192 using Feature<PointInT, PointOutT>::getClassName; 00193 using Feature<PointInT, PointOutT>::indices_; 00194 using Feature<PointInT, PointOutT>::input_; 00195 using Feature<PointInT, PointOutT>::surface_; 00196 using Feature<PointInT, PointOutT>::k_; 00197 using Feature<PointInT, PointOutT>::search_radius_; 00198 using Feature<PointInT, PointOutT>::search_parameter_; 00199 00200 typedef typename Feature<PointInT, PointOutT>::PointCloudOut PointCloudOut; 00201 00203 NormalEstimation () : vpx_ (0), vpy_ (0), vpz_ (0) 00204 { 00205 feature_name_ = "NormalEstimation"; 00206 }; 00207 00218 inline void 00219 computePointNormal (const pcl::PointCloud<PointInT> &cloud, const std::vector<int> &indices, Eigen::Vector4f &plane_parameters, float &curvature) 00220 { 00221 if (indices.empty ()) 00222 { 00223 plane_parameters.setConstant (std::numeric_limits<float>::quiet_NaN ()); 00224 curvature = std::numeric_limits<float>::quiet_NaN (); 00225 return; 00226 } 00227 // Estimate the XYZ centroid 00228 compute3DCentroid (cloud, indices, xyz_centroid_); 00229 00230 // Compute the 3x3 covariance matrix 00231 computeCovarianceMatrix (cloud, indices, xyz_centroid_, covariance_matrix_); 00232 00233 // Get the plane normal and surface curvature 00234 solvePlaneParameters (covariance_matrix_, xyz_centroid_, plane_parameters, curvature); 00235 } 00236 00249 inline void 00250 computePointNormal (const pcl::PointCloud<PointInT> &cloud, const std::vector<int> &indices, float &nx, float &ny, float &nz, float &curvature) 00251 { 00252 if (indices.empty ()) 00253 { 00254 nx = ny = nz = curvature = std::numeric_limits<float>::quiet_NaN (); 00255 return; 00256 } 00257 // Estimate the XYZ centroid 00258 compute3DCentroid (cloud, indices, xyz_centroid_); 00259 00260 // Compute the 3x3 covariance matrix 00261 computeCovarianceMatrix (cloud, indices, xyz_centroid_, covariance_matrix_); 00262 00263 // Get the plane normal and surface curvature 00264 solvePlaneParameters (covariance_matrix_, nx, ny, nz, curvature); 00265 } 00266 00272 inline void 00273 setViewPoint (float vpx, float vpy, float vpz) 00274 { 00275 vpx_ = vpx; 00276 vpy_ = vpy; 00277 vpz_ = vpz; 00278 } 00279 00281 inline void 00282 getViewPoint (float &vpx, float &vpy, float &vpz) 00283 { 00284 vpx = vpx_; 00285 vpy = vpy_; 00286 vpz = vpz_; 00287 } 00288 00289 protected: 00295 void 00296 computeFeature (PointCloudOut &output); 00297 00300 float vpx_, vpy_, vpz_; 00301 00303 EIGEN_ALIGN16 Eigen::Matrix3f covariance_matrix_; 00304 00306 Eigen::Vector4f xyz_centroid_; 00307 00308 private: 00312 void 00313 computeFeature (pcl::PointCloud<Eigen::MatrixXf> &output) {} 00314 }; 00315 00324 template <typename PointInT> 00325 class NormalEstimation<PointInT, Eigen::MatrixXf>: public NormalEstimation<PointInT, pcl::Normal> 00326 { 00327 public: 00328 using NormalEstimation<PointInT, pcl::Normal>::indices_; 00329 using NormalEstimation<PointInT, pcl::Normal>::input_; 00330 using NormalEstimation<PointInT, pcl::Normal>::surface_; 00331 using NormalEstimation<PointInT, pcl::Normal>::k_; 00332 using NormalEstimation<PointInT, pcl::Normal>::search_parameter_; 00333 using NormalEstimation<PointInT, pcl::Normal>::vpx_; 00334 using NormalEstimation<PointInT, pcl::Normal>::vpy_; 00335 using NormalEstimation<PointInT, pcl::Normal>::vpz_; 00336 using NormalEstimation<PointInT, pcl::Normal>::computePointNormal; 00337 using NormalEstimation<PointInT, pcl::Normal>::compute; 00338 00339 private: 00345 void 00346 computeFeature (pcl::PointCloud<Eigen::MatrixXf> &output); 00347 00351 void 00352 compute (pcl::PointCloud<pcl::Normal> &output) {} 00353 }; 00354 } 00355 00356 #endif //#ifndef PCL_NORMAL_3D_H_ 00357 00358
1.7.6.1