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00001 /* 00002 * Copyright (c) 2008 Radu Bogdan Rusu <rusu -=- cs.tum.edu> 00003 * 00004 * All rights reserved. 00005 * 00006 * Redistribution and use in source and binary forms, with or without 00007 * modification, are permitted provided that the following conditions are met: 00008 * 00009 * * Redistributions of source code must retain the above copyright 00010 * notice, this list of conditions and the following disclaimer. 00011 * * Redistributions in binary form must reproduce the above copyright 00012 * notice, this list of conditions and the following disclaimer in the 00013 * documentation and/or other materials provided with the distribution. 00014 * 00015 * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" 00016 * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE 00017 * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE 00018 * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE 00019 * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR 00020 * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF 00021 * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS 00022 * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN 00023 * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) 00024 * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE 00025 * POSSIBILITY OF SUCH DAMAGE. 00026 * 00027 * $Id: sac_model_line.h 20633 2009-08-04 07:19:09Z tfoote $ 00028 * 00029 */ 00030 00033 #ifndef _SAMPLE_CONSENSUS_SACMODELLINE_H_ 00034 #define _SAMPLE_CONSENSUS_SACMODELLINE_H_ 00035 00036 #include <sac_model.h> 00037 #include <model_types.h> 00038 00040 #define MAX_ITERATIONS_UNIQUE 1000 00041 00042 namespace sample_consensus 00043 { 00046 class SACModelLine : public SACModel 00047 { 00048 public: 00050 00051 SACModelLine () { } 00052 00054 00055 virtual ~SACModelLine () { } 00056 00057 virtual void getSamples (int &iterations, std::vector<int> &samples); 00058 00060 00064 bool testModelCoefficients (const std::vector<double> &model_coefficients) { return true; } 00065 00066 virtual bool computeModelCoefficients (const std::vector<int> &samples); 00067 00068 virtual void refitModel (const std::vector<int> &inliers, std::vector<double> &refit_coefficients); 00069 virtual void getDistancesToModel (const std::vector<double> &model_coefficients, std::vector<double> &distances); 00070 virtual void selectWithinDistance (const std::vector<double> &model_coefficients, double threshold, std::vector<int> &inliers); 00071 00072 virtual void projectPoints (const std::vector<int> &inliers, const std::vector<double> &model_coefficients, sensor_msgs::PointCloud &projected_points); 00073 00074 virtual void projectPointsInPlace (const std::vector<int> &inliers, const std::vector<double> &model_coefficients); 00075 virtual bool doSamplesVerifyModel (const std::set<int> &indices, double threshold); 00076 00078 00079 virtual int getModelType () { return (SACMODEL_LINE); } 00080 00082 00086 inline geometry_msgs::Point32 00087 cross (const geometry_msgs::Point32 &p1, const geometry_msgs::Point32 &p2) 00088 { 00089 geometry_msgs::Point32 r; 00090 r.x = p1.y * p2.z - p1.z * p2.y; 00091 r.y = p1.z * p2.x - p1.x * p2.z; 00092 r.z = p1.x * p2.y - p1.y * p2.x; 00093 return (r); 00094 } 00095 00097 00102 inline void 00103 computeCentroid (const sensor_msgs::PointCloud &points, const std::vector<int> &indices, geometry_msgs::Point32 ¢roid) 00104 { 00105 centroid.x = centroid.y = centroid.z = 0; 00106 // For each point in the cloud 00107 for (unsigned int i = 0; i < indices.size (); i++) 00108 { 00109 centroid.x += points.points.at (indices.at (i)).x; 00110 centroid.y += points.points.at (indices.at (i)).y; 00111 centroid.z += points.points.at (indices.at (i)).z; 00112 } 00113 00114 centroid.x /= indices.size (); 00115 centroid.y /= indices.size (); 00116 centroid.z /= indices.size (); 00117 } 00118 00120 00128 inline void 00129 computeCovarianceMatrix (const sensor_msgs::PointCloud &points, const std::vector<int> &indices, Eigen::Matrix3d &covariance_matrix, geometry_msgs::Point32 ¢roid) 00130 { 00131 computeCentroid (points, indices, centroid); 00132 00133 // Initialize to 0 00134 covariance_matrix = Eigen::Matrix3d::Zero (); 00135 00136 for (unsigned int j = 0; j < indices.size (); j++) 00137 { 00138 covariance_matrix (0, 0) += (points.points[indices.at (j)].x - centroid.x) * (points.points[indices.at (j)].x - centroid.x); 00139 covariance_matrix (0, 1) += (points.points[indices.at (j)].x - centroid.x) * (points.points[indices.at (j)].y - centroid.y); 00140 covariance_matrix (0, 2) += (points.points[indices.at (j)].x - centroid.x) * (points.points[indices.at (j)].z - centroid.z); 00141 00142 covariance_matrix (1, 0) += (points.points[indices.at (j)].y - centroid.y) * (points.points[indices.at (j)].x - centroid.x); 00143 covariance_matrix (1, 1) += (points.points[indices.at (j)].y - centroid.y) * (points.points[indices.at (j)].y - centroid.y); 00144 covariance_matrix (1, 2) += (points.points[indices.at (j)].y - centroid.y) * (points.points[indices.at (j)].z - centroid.z); 00145 00146 covariance_matrix (2, 0) += (points.points[indices.at (j)].z - centroid.z) * (points.points[indices.at (j)].x - centroid.x); 00147 covariance_matrix (2, 1) += (points.points[indices.at (j)].z - centroid.z) * (points.points[indices.at (j)].y - centroid.y); 00148 covariance_matrix (2, 2) += (points.points[indices.at (j)].z - centroid.z) * (points.points[indices.at (j)].z - centroid.z); 00149 } 00150 } 00151 }; 00152 } 00153 00154 #endif