/****************************************************************************** * Author: Laurent Kneip * * Contact: kneip.laurent@gmail.com * * License: Copyright (c) 2013 Laurent Kneip, ANU. All rights reserved. * * * * Redistribution and use in source and binary forms, with or without * * modification, are permitted provided that the following conditions * * are met: * * * Redistributions of source code must retain the above copyright * * notice, this list of conditions and the following disclaimer. * * * Redistributions in binary form must reproduce the above copyright * * notice, this list of conditions and the following disclaimer in the * * documentation and/or other materials provided with the distribution. * * * Neither the name of ANU nor the names of its contributors may be * * used to endorse or promote products derived from this software without * * specific prior written permission. * * * * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"* * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE * * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE * * ARE DISCLAIMED. IN NO EVENT SHALL ANU OR THE CONTRIBUTORS BE LIABLE * * FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL * * DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR * * SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER * * CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT * * LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY * * OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF * * SUCH DAMAGE. * ******************************************************************************/ #include #include #include #include #include #include #include #include #include "random_generators.hpp" #include "experiment_helpers.hpp" #include "time_measurement.hpp" using namespace std; using namespace Eigen; using namespace opengv; int main( int argc, char** argv ) { //initialize random seed initializeRandomSeed(); //set experiment parameters double noise = 0.0; double outlierFraction = 0.0; size_t numberPoints = 100; int numberCameras = 4; //create a random viewpoint pose translation_t position = generateRandomTranslation(2.0); rotation_t rotation = generateRandomRotation(0.5); //create a random camera-system translations_t camOffsets; rotations_t camRotations; generateRandomCameraSystem( numberCameras, camOffsets, camRotations ); //derive correspondences based on random point-cloud bearingVectors_t bearingVectors; points_t points; std::vector camCorrespondences; Eigen::MatrixXd gt(3,numberPoints); generateRandom2D3DCorrespondences( position, rotation, camOffsets, camRotations, numberPoints, noise, outlierFraction, bearingVectors, points, camCorrespondences, gt ); //print the experiment characteristics printExperimentCharacteristics( position, rotation, noise, outlierFraction ); //create a non-central absolute adapter absolute_pose::NoncentralAbsoluteAdapter adapter( bearingVectors, camCorrespondences, points, camOffsets, camRotations, rotation); //timer struct timeval tic; struct timeval toc; size_t iterations = 50; //run the experiments std::cout << "running Kneip's GP3P (using first three correspondences/"; std::cout << std::endl; transformations_t gp3p_transformations; gettimeofday( &tic, 0 ); for(size_t i = 0; i < iterations; i++) gp3p_transformations = absolute_pose::gp3p(adapter); gettimeofday( &toc, 0 ); double gp3p_time = TIMETODOUBLE(timeval_minus(toc,tic)) / iterations; std::cout << "running gpnp over all correspondences" << std::endl; transformation_t gpnp_transformation; gettimeofday( &tic, 0 ); for(size_t i = 0; i < iterations; i++) gpnp_transformation = absolute_pose::gpnp(adapter); gettimeofday( &toc, 0 ); double gpnp_time = TIMETODOUBLE(timeval_minus(toc,tic)) / iterations; std::cout << "running gpnp over 6 correspondences" << std::endl; std::vector indices6 = getNindices(6); transformation_t gpnp_transformation_6 = absolute_pose::gpnp( adapter, indices6 ); std::cout << "running upnp over all correspondences" << std::endl; transformations_t upnp_transformations; gettimeofday( &tic, 0 ); for( size_t i = 0; i < iterations; i++ ) upnp_transformations = absolute_pose::upnp(adapter); gettimeofday( &toc, 0); double upnp_time = TIMETODOUBLE(timeval_minus(toc,tic)) / iterations; std::cout << "running upnp over 3 correspondences" << std::endl; std::vector indices3 = getNindices(3); transformations_t upnp_transformations_3 = absolute_pose::upnp( adapter, indices3 ); std::cout << "setting perturbed pose and "; std::cout << "performing nonlinear optimization" << std::endl; //add a small perturbation to the rotation translation_t t_perturbed; rotation_t R_perturbed; getPerturbedPose( position, rotation, t_perturbed, R_perturbed, 0.1 ); transformation_t nonlinear_transformation; gettimeofday( &tic, 0 ); for(size_t i = 0; i < iterations; i++) { adapter.sett(t_perturbed); adapter.setR(R_perturbed); nonlinear_transformation = absolute_pose::optimize_nonlinear(adapter); } gettimeofday( &toc, 0 ); double nonlinear_time = TIMETODOUBLE(timeval_minus(toc,tic)) / iterations; std::cout << "setting perturbed pose and "; std::cout << "performing nonlinear optimization with 10 correspondences"; std::cout << std::endl; std::vector indices10 = getNindices(10); //add a small perturbation to the rotation getPerturbedPose( position, rotation, t_perturbed, R_perturbed, 0.1 ); adapter.sett(t_perturbed); adapter.setR(R_perturbed); transformation_t nonlinear_transformation_10 = absolute_pose::optimize_nonlinear(adapter,indices10); //print the results std::cout << "results from gp3p algorithm:" << std::endl; for(size_t i = 0; i < gp3p_transformations.size(); i++) std::cout << gp3p_transformations[i] << std::endl << std::endl; std::cout << "results from gpnp algorithm:" << std::endl; std::cout << gpnp_transformation << std::endl << std::endl; std::cout << "results from gpnp algorithm with only 6 correspondences:"; std::cout << std::endl; std::cout << gpnp_transformation_6 << std::endl << std::endl; std::cout << "results from upnp algorithm:" << std::endl; for(size_t i = 0; i < upnp_transformations.size(); i++) std::cout << upnp_transformations[i] << std::endl << std::endl; std::cout << "results from upnp algorithm with only 3 correspondences:"; std::cout << std::endl; for(size_t i = 0; i < upnp_transformations_3.size(); i++) std::cout << upnp_transformations_3[i] << std::endl << std::endl; std::cout << "results from nonlinear algorithm:" << std::endl; std::cout << nonlinear_transformation << std::endl << std::endl; std::cout << "results from nonlinear algorithm with only 10 correspondences:"; std::cout << std::endl; std::cout << nonlinear_transformation_10 << std::endl << std::endl; std::cout << "timings from gp3p algorithm: "; std::cout << gp3p_time << std::endl; std::cout << "timings from gpnp algorithm: "; std::cout << gpnp_time << std::endl; std::cout << "timings from upnp algorithm: "; std::cout << upnp_time << std::endl; std::cout << "timings from nonlinear algorithm: "; std::cout << nonlinear_time << std::endl; }