Files
ar_basalt/thirdparty/opengv/test/test_eigensolver.cpp
2022-04-05 11:42:28 +03:00

130 lines
5.9 KiB
C++

/******************************************************************************
* 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 *
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* SUCH DAMAGE. *
******************************************************************************/
#include <stdlib.h>
#include <stdio.h>
#include <iostream>
#include <iomanip>
#include <opengv/relative_pose/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 = generateRandomDirectionTranslation(0.0005);
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 );
//Extract the relative pose
translation_t position; rotation_t rotation;
extractRelativePose(
position1, position2, rotation1, rotation2, position, rotation );
//print experiment characteristics
printExperimentCharacteristics( position, rotation, noise, outlierFraction );
//create a central relative adapter
relative_pose::CentralRelativeAdapter adapter(
bearingVectors1,
bearingVectors2,
rotation);
//run experiments
std::cout << "running eigensolver with perturbed rotation" << std::endl;
translation_t t_perturbed; rotation_t R_perturbed;
getPerturbedPose( position, rotation, t_perturbed, R_perturbed, 0.01);
adapter.setR12(R_perturbed);
rotation_t eigensolver_rotation;
eigensolverOutput_t output;
output.rotation = adapter.getR12(); //transferring the initial value
eigensolver_rotation = relative_pose::eigensolver(adapter,output);
//print results
std::cout << "results from eigensystem based rotation solver:" << std::endl;
std::cout << eigensolver_rotation << std::endl << std::endl;
std::cout << "the eigenvectors are: " << std::endl;
std::cout << output.eigenvectors << std::endl << std::endl;
std::cout << "the eigenvalues are: " << std::endl;
std::cout << output.eigenvalues << std::endl << std::endl;
std::cout << "the norms of the eigenvectors are: " << std::endl;
std::cout << output.eigenvectors.col(0).norm() << " ";
std::cout << output.eigenvectors.col(1).norm() << " ";
std::cout << output.eigenvectors.col(2).norm() << std::endl << std::endl;
std::cout << "the orthogongality is: " << std::endl;
std::cout << output.eigenvectors.col(0).transpose()*output.eigenvectors.col(1);
std::cout << " ";
std::cout << output.eigenvectors.col(0).transpose()*output.eigenvectors.col(2);
std::cout << " ";
std::cout << output.eigenvectors.col(1).transpose()*output.eigenvectors.col(2);
std::cout << std::endl << std::endl;
std::cout << "the norm of the translation is: " << std::endl;
std::cout << output.translation.norm() << std::endl;
}