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/******************************************************************************
* 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 <stdlib.h>
#include <stdio.h>
#include <iostream>
#include <iomanip>
#include <opengv/triangulation/methods.hpp>
#include <opengv/relative_pose/CentralRelativeAdapter.hpp>
#include <sstream>
#include <fstream>
#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 = 0.5;
double outlierFraction = 0.0;
size_t numberPoints = 10;
//generate a random pose for viewpoint 1
translation_t position1 = Eigen::Vector3d::Zero();
rotation_t rotation1 = Eigen::Matrix3d::Identity();
//generate a random pose for viewpoint 2
translation_t position2 = generateRandomTranslation(2.0);
rotation_t rotation2 = generateRandomRotation(0.5);
//create a fake central camera
translations_t camOffsets;
rotations_t camRotations;
generateCentralCameraSystem( camOffsets, camRotations );
//derive correspondences based on random point-cloud
bearingVectors_t bearingVectors1;
bearingVectors_t bearingVectors2;
std::vector<int> camCorrespondences1; //unused in the central case
std::vector<int> camCorrespondences2; //unused in the central case
Eigen::MatrixXd gt(3,numberPoints);
generateRandom2D2DCorrespondences(
position1, rotation1, position2, rotation2,
camOffsets, camRotations, numberPoints, noise, outlierFraction,
bearingVectors1, bearingVectors2,
camCorrespondences1, camCorrespondences2, gt );
std::cout << "the original points are: " << std::endl << gt;
std::cout << std::endl << std::endl;
//Extract the relative pose
translation_t position; rotation_t rotation;
extractRelativePose(
position1, position2, rotation1, rotation2, position, rotation, false );
//print experiment characteristics
printExperimentCharacteristics( position, rotation, noise, outlierFraction );
//create a central relative adapter and pass the relative pose
relative_pose::CentralRelativeAdapter adapter(
bearingVectors1,
bearingVectors2,
position,
rotation);
//timer
struct timeval tic;
struct timeval toc;
size_t iterations = 100;
//run experiments
std::cout << "running triangulation algorithm 1" << std::endl << std::endl;
double triangulate_time;
MatrixXd triangulate_results(3,numberPoints);
for(size_t j = 0; j < numberPoints; j++)
{
gettimeofday( &tic, 0 );
for(size_t i = 0; i < iterations; i++)
triangulate_results.block<3,1>(0,j) =
triangulation::triangulate(adapter,j);
gettimeofday( &toc, 0 );
triangulate_time = TIMETODOUBLE(timeval_minus(toc,tic)) / iterations;
}
std::cout << "timing: " << triangulate_time << std::endl;
std::cout << "triangulation result: " << std::endl;
std::cout << triangulate_results << std::endl;
MatrixXd error(1,numberPoints);
for(size_t i = 0; i < numberPoints; i++)
{
Vector3d singleError = triangulate_results.col(i) - gt.col(i);
error(0,i) = singleError.norm();
}
std::cout << "triangulation error is: " << std::endl;
std::cout << error << std::endl << std::endl;
std::cout << "running triangulation algorithm 2" << std::endl << std::endl;
double triangulate2_time;
MatrixXd triangulate2_results(3,numberPoints);
for(size_t j = 0; j < numberPoints; j++)
{
gettimeofday( &tic, 0 );
for(size_t i = 0; i < iterations; i++)
triangulate2_results.block<3,1>(0,j) =
triangulation::triangulate2(adapter,j);
gettimeofday( &toc, 0 );
triangulate2_time = TIMETODOUBLE(timeval_minus(toc,tic)) / iterations;
}
std::cout << "timing: " << triangulate2_time << std::endl;
std::cout << "triangulation result: " << std::endl;
std::cout << triangulate2_results << std::endl;
for(size_t i = 0; i < numberPoints; i++)
{
Vector3d singleError = triangulate2_results.col(i) - gt.col(i);
error(0,i) = singleError.norm();
}
std::cout << "triangulation error is: " << std::endl << error << std::endl;
}
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