176 lines
4.9 KiB
C++
176 lines
4.9 KiB
C++
|
/*
|
||
|
* 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
|