|
|
|
/*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) 2008-2013, 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.
|
|
|
|
//
|
|
|
|
// * 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.
|
|
|
|
// In no event shall the Intel Corporation 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.
|
|
|
|
//
|
|
|
|
//M*/
|
|
|
|
|
|
|
|
#include "test_precomp.hpp"
|
|
|
|
#include "opencv2/core/affine.hpp"
|
|
|
|
#include "opencv2/calib3d.hpp"
|
|
|
|
#include <iostream>
|
|
|
|
|
|
|
|
TEST(Calib3d_Affine3f, accuracy)
|
|
|
|
{
|
|
|
|
cv::Vec3d rvec(0.2, 0.5, 0.3);
|
|
|
|
cv::Affine3d affine(rvec);
|
|
|
|
|
|
|
|
cv::Mat expected;
|
|
|
|
cv::Rodrigues(rvec, expected);
|
|
|
|
|
|
|
|
|
|
|
|
ASSERT_EQ(0, cvtest::norm(cv::Mat(affine.matrix, false).colRange(0, 3).rowRange(0, 3) != expected, cv::NORM_L2));
|
|
|
|
ASSERT_EQ(0, cvtest::norm(cv::Mat(affine.linear()) != expected, cv::NORM_L2));
|
|
|
|
|
|
|
|
|
|
|
|
cv::Matx33d R = cv::Matx33d::eye();
|
|
|
|
|
|
|
|
double angle = 50;
|
|
|
|
R.val[0] = R.val[4] = std::cos(CV_PI*angle/180.0);
|
|
|
|
R.val[3] = std::sin(CV_PI*angle/180.0);
|
|
|
|
R.val[1] = -R.val[3];
|
|
|
|
|
|
|
|
|
|
|
|
cv::Affine3d affine1(cv::Mat(cv::Vec3d(0.2, 0.5, 0.3)).reshape(1, 1), cv::Vec3d(4, 5, 6));
|
|
|
|
cv::Affine3d affine2(R, cv::Vec3d(1, 1, 0.4));
|
|
|
|
|
|
|
|
cv::Affine3d result = affine1.inv() * affine2;
|
|
|
|
|
|
|
|
expected = cv::Mat(affine1.matrix.inv(cv::DECOMP_SVD)) * cv::Mat(affine2.matrix, false);
|
|
|
|
|
|
|
|
|
|
|
|
cv::Mat diff;
|
|
|
|
cv::absdiff(expected, result.matrix, diff);
|
|
|
|
|
|
|
|
ASSERT_LT(cvtest::norm(diff, cv::NORM_INF), 1e-15);
|
|
|
|
}
|
|
|
|
|
|
|
|
TEST(Calib3d_Affine3f, accuracy_rvec)
|
|
|
|
{
|
|
|
|
cv::RNG rng;
|
|
|
|
typedef float T;
|
|
|
|
|
|
|
|
cv::Affine3<T>::Vec3 w;
|
|
|
|
cv::Affine3<T>::Mat3 u, vt, R;
|
|
|
|
|
|
|
|
for(int i = 0; i < 100; ++i)
|
|
|
|
{
|
|
|
|
rng.fill(R, cv::RNG::UNIFORM, -10, 10, true);
|
|
|
|
cv::SVD::compute(R, w, u, vt, cv::SVD::FULL_UV + cv::SVD::MODIFY_A);
|
|
|
|
R = u * vt;
|
|
|
|
|
|
|
|
//double s = (double)cv::getTickCount();
|
|
|
|
cv::Affine3<T>::Vec3 va = cv::Affine3<T>(R).rvec();
|
|
|
|
//std::cout << "M:" <<(cv::getTickCount() - s)*1000/cv::getTickFrequency() << std::endl;
|
|
|
|
|
|
|
|
cv::Affine3<T>::Vec3 vo;
|
|
|
|
//s = (double)cv::getTickCount();
|
|
|
|
cv::Rodrigues(R, vo);
|
|
|
|
//std::cout << "O:" <<(cv::getTickCount() - s)*1000/cv::getTickFrequency() << std::endl;
|
|
|
|
|
|
|
|
ASSERT_LT(cvtest::norm(va, vo, cv::NORM_L2), 1e-9);
|
|
|
|
}
|
|
|
|
}
|