OpenCV_4.2.0/opencv_contrib-4.2.0/modules/sfm/test/test_fundamental.cpp

176 lines
4.9 KiB
C++
Raw Normal View History

2024-07-25 16:47:56 +08:00
/*
* Software License Agreement (BSD License)
*
* Copyright (c) 2009, Willow Garage, Inc.
* 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 Willow Garage, Inc. 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 THE
* COPYRIGHT OWNER OR 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 "test_precomp.hpp"
namespace opencv_test { namespace {
TEST(Sfm_fundamental, fundamentalFromProjections)
{
double tolerance_prop = 1e-7;
double tolerance_near = 1e-15;
Matx34d P1_gt, P2_gt;
P1_gt << 1, 0, 0, 0,
0, 1, 0, 0,
0, 0, 1, 0;
P2_gt << 1, 1, 1, 3,
0, 2, 0, 3,
0, 1, 1, 0;
Matx33d F_gt;
fundamentalFromProjections(P1_gt, P2_gt, F_gt);
Matx34d P1, P2;
projectionsFromFundamental(F_gt, P1, P2);
Matx33d F;
fundamentalFromProjections(P1, P2, F);
Matx33d F_gt_norm, F_norm;
normalizeFundamental(F_gt, F_gt_norm);
normalizeFundamental(F, F_norm);
EXPECT_MATRIX_PROP(F_gt, F, tolerance_prop);
EXPECT_MATRIX_NEAR(F_gt_norm, F_norm, tolerance_near);
}
TEST(Sfm_fundamental, normalizedEightPointSolver)
{
double tolerance = 1e-14;
TwoViewDataSet d;
generateTwoViewRandomScene( d );
Matx33d F;
normalizedEightPointSolver( d.x1, d.x2, F );
expectFundamentalProperties( F, d.x1, d.x2, tolerance );
}
TEST(Sfm_fundamental, motionFromEssential)
{
double tolerance = 1e-8;
TwoViewDataSet d;
generateTwoViewRandomScene(d);
Matx33d E;
essentialFromRt(d.R1, d.t1, d.R2, d.t2, E);
Matx33d R;
cv::Vec3d t;
relativeCameraMotion(d.R1, d.t1, d.R2, d.t2, R, t);
cv::normalize(t, t);
std::vector<Mat> Rs;
std::vector<cv::Mat> ts;
motionFromEssential(E, Rs, ts);
bool one_solution_is_correct = false;
for ( int i = 0; i < Rs.size(); ++i )
{
if ( (cvtest::norm(Rs[i], R, NORM_L2) < tolerance) && (cvtest::norm(ts[i], t, NORM_L2) < tolerance) )
{
one_solution_is_correct = true;
break;
}
}
EXPECT_TRUE(one_solution_is_correct);
}
TEST(Sfm_fundamental, fundamentalToAndFromEssential)
{
double tolerance = 1e-15;
TwoViewDataSet d;
generateTwoViewRandomScene(d);
Matx33d F, E;
essentialFromFundamental(d.F, d.K1, d.K2, E);
fundamentalFromEssential(E, d.K1, d.K2, F);
Matx33d F_gt_norm, F_norm;
normalizeFundamental(d.F, F_gt_norm);
normalizeFundamental(F, F_norm);
EXPECT_MATRIX_NEAR(F_gt_norm, F_norm, tolerance);
}
TEST(Sfm_fundamental, essentialFromFundamental)
{
TwoViewDataSet d;
generateTwoViewRandomScene(d);
Matx33d E_from_Rt;
essentialFromRt(d.R1, d.t1, d.R2, d.t2, E_from_Rt);
Matx33d E_from_F;
essentialFromFundamental(d.F, d.K1, d.K2, E_from_F);
EXPECT_MATRIX_PROP(E_from_Rt, E_from_F, 1e-6);
}
TEST(Sfm_fundamental, motionFromEssentialChooseSolution)
{
TwoViewDataSet d;
generateTwoViewRandomScene(d);
Matx33d E;
essentialFromRt(d.R1, d.t1, d.R2, d.t2, E);
Matx33d R;
cv::Vec3d t;
relativeCameraMotion(d.R1, d.t1, d.R2, d.t2, R, t);
normalize(t, t);
std::vector < Mat > Rs;
std::vector < cv::Mat > ts;
motionFromEssential(E, Rs, ts);
cv::Vec2d x1(d.x1(0, 0), d.x1(1, 0));
cv::Vec2d x2(d.x2(0, 0), d.x2(1, 0));
int solution = motionFromEssentialChooseSolution(Rs, ts, d.K1, x1, d.K2, x2);
EXPECT_LE(0, solution);
EXPECT_LE(solution, 3);
EXPECT_LE(cvtest::norm(Rs[solution], Mat(R), NORM_L2), 1e-8);
EXPECT_LE(cvtest::norm(ts[solution], Mat(t), NORM_L2), 1e-8);
}
}} // namespace