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/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, install,
// copy or use the software.
//
//
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
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// * Redistribution's 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.
//
// * The name of the copyright holders may not 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.
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// 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,
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//M*/
#include "test_precomp.hpp"
namespace opencv_test { namespace {
class CV_DecomposeProjectionMatrixTest : public cvtest::BaseTest
{
public:
CV_DecomposeProjectionMatrixTest();
protected:
void run(int);
};
CV_DecomposeProjectionMatrixTest::CV_DecomposeProjectionMatrixTest()
{
test_case_count = 30;
}
void CV_DecomposeProjectionMatrixTest::run(int start_from)
{
ts->set_failed_test_info(cvtest::TS::OK);
cv::RNG& rng = ts->get_rng();
int progress = 0;
for (int iter = start_from; iter < test_case_count; ++iter)
{
ts->update_context(this, iter, true);
progress = update_progress(progress, iter, test_case_count, 0);
// Create the original (and random) camera matrix, rotation, and translation
cv::Vec2d f, c;
rng.fill(f, cv::RNG::UNIFORM, 300, 1000);
rng.fill(c, cv::RNG::UNIFORM, 150, 600);
double alpha = 0.01*rng.gaussian(1);
cv::Matx33d origK(f(0), alpha*f(0), c(0),
0, f(1), c(1),
0, 0, 1);
cv::Vec3d rVec;
rng.fill(rVec, cv::RNG::UNIFORM, -CV_PI, CV_PI);
cv::Matx33d origR;
cv::Rodrigues(rVec, origR); // TODO cvtest
cv::Vec3d origT;
rng.fill(origT, cv::RNG::NORMAL, 0, 1);
// Compose the projection matrix
cv::Matx34d P(3,4);
hconcat(origK*origR, origK*origT, P);
// Decompose
cv::Matx33d K, R;
cv::Vec4d homogCameraCenter;
decomposeProjectionMatrix(P, K, R, homogCameraCenter);
// Recover translation from the camera center
cv::Vec3d cameraCenter(homogCameraCenter(0), homogCameraCenter(1), homogCameraCenter(2));
cameraCenter /= homogCameraCenter(3);
cv::Vec3d t = -R*cameraCenter;
const double thresh = 1e-6;
if (cv::norm(origK, K, cv::NORM_INF) > thresh)
{
ts->set_failed_test_info(cvtest::TS::FAIL_BAD_ACCURACY);
break;
}
if (cv::norm(origR, R, cv::NORM_INF) > thresh)
{
ts->set_failed_test_info(cvtest::TS::FAIL_BAD_ACCURACY);
break;
}
if (cv::norm(origT, t, cv::NORM_INF) > thresh)
{
ts->set_failed_test_info(cvtest::TS::FAIL_BAD_ACCURACY);
break;
}
}
}
TEST(Calib3d_DecomposeProjectionMatrix, accuracy)
{
CV_DecomposeProjectionMatrixTest test;
test.safe_run();
}
TEST(Calib3d_DecomposeProjectionMatrix, degenerate_cases)
{
for (int i = 0; i < 3; i++)
{
for (int j = 0; j < 2; j++)
{
cv::Matx34d P;
P(0, i) = 1;
P(1, (i + j + 1) % 3) = 1;
P(2, (i + 2 * j + 2) % 3) = 1;
cv::Matx33d K, R;
cv::Vec4d t;
decomposeProjectionMatrix(P, K, R, t);
EXPECT_LT(cv::norm(K * R, P.get_minor<3, 3>(0, 0), cv::NORM_INF), 1e-6);
}
}
}
TEST(Calib3d_DecomposeProjectionMatrix, bug_23733)
{
cv::Matx34d P(52, -7, 4, 12,
-6, 49, 12, 8,
4, 17, 1, 0);
P *= 1e-6;
cv::Matx33d K, R;
cv::Vec4d t;
decomposeProjectionMatrix(P, K, R, t);
EXPECT_LT(cv::norm(R.t() * R - cv::Matx33d::eye(), cv::NORM_INF), 1e-10);
cv::Matx34d M;
cv::hconcat(R, -R * cv::Vec3d(t[0] / t[3], t[1] / t[3], t[2] / t[3]), M);
cv::Matx34d P_recompose = K * M;
EXPECT_LT(cv::norm(P_recompose - P, cv::NORM_INF), 1e-16);
}
}} // namespace
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