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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.
- // Copyright (C) 2013, Alfonso Sanchez-Beato, 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"
- namespace opencv_test { namespace {
- #define REG_DEBUG_OUTPUT 0
- class RegTest : public testing::Test
- {
- public:
- void loadImage(int dstDataType = CV_32FC3);
- void testShift();
- void testEuclidean();
- void testSimilarity();
- void testAffine();
- void testProjective();
- private:
- Mat img1;
- };
- void RegTest::testShift()
- {
- Mat img2;
- // Warp original image
- Vec<double, 2> shift(5., 5.);
- MapShift mapTest(shift);
- mapTest.warp(img1, img2);
- // Register
- Ptr<Mapper> mapper = makePtr<MapperGradShift>();
- MapperPyramid mappPyr(mapper);
- Ptr<Map> mapPtr = mappPyr.calculate(img1, img2);
- // Print result
- Ptr<MapShift> mapShift = MapTypeCaster::toShift(mapPtr);
- #if REG_DEBUG_OUTPUT
- cout << endl << "--- Testing shift mapper ---" << endl;
- cout << Mat(shift) << endl;
- cout << Mat(mapShift->getShift()) << endl;
- #endif
- // Check accuracy
- Ptr<Map> mapInv(mapShift->inverseMap());
- mapTest.compose(mapInv);
- double shNorm = cv::norm(mapTest.getShift());
- EXPECT_LE(shNorm, 0.1);
- }
- void RegTest::testEuclidean()
- {
- Mat img2;
- // Warp original image
- double theta = 3*CV_PI/180;
- double cosT = cos(theta);
- double sinT = sin(theta);
- Matx<double, 2, 2> linTr(cosT, -sinT, sinT, cosT);
- Vec<double, 2> shift(5., 5.);
- MapAffine mapTest(linTr, shift);
- mapTest.warp(img1, img2);
- // Register
- Ptr<Mapper> mapper = makePtr<MapperGradEuclid>();
- MapperPyramid mappPyr(mapper);
- Ptr<Map> mapPtr = mappPyr.calculate(img1, img2);
- // Print result
- Ptr<MapAffine> mapAff = MapTypeCaster::toAffine(mapPtr);
- #if REG_DEBUG_OUTPUT
- cout << endl << "--- Testing Euclidean mapper ---" << endl;
- cout << Mat(linTr) << endl;
- cout << Mat(shift) << endl;
- cout << Mat(mapAff->getLinTr()) << endl;
- cout << Mat(mapAff->getShift()) << endl;
- #endif
- // Check accuracy
- Ptr<Map> mapInv(mapAff->inverseMap());
- mapTest.compose(mapInv);
- double shNorm = cv::norm(mapTest.getShift());
- EXPECT_LE(shNorm, 0.1);
- double linTrNorm = cv::norm(mapTest.getLinTr());
- EXPECT_LE(linTrNorm, sqrt(2.) + 0.01);
- EXPECT_GE(linTrNorm, sqrt(2.) - 0.01);
- }
- void RegTest::testSimilarity()
- {
- Mat img2;
- // Warp original image
- double theta = 3*CV_PI/180;
- double scale = 0.95;
- double a = scale*cos(theta);
- double b = scale*sin(theta);
- Matx<double, 2, 2> linTr(a, -b, b, a);
- Vec<double, 2> shift(5., 5.);
- MapAffine mapTest(linTr, shift);
- mapTest.warp(img1, img2);
- // Register
- Ptr<Mapper> mapper = makePtr<MapperGradSimilar>();
- MapperPyramid mappPyr(mapper);
- Ptr<Map> mapPtr = mappPyr.calculate(img1, img2);
- // Print result
- Ptr<MapAffine> mapAff = MapTypeCaster::toAffine(mapPtr);
- #if REG_DEBUG_OUTPUT
- cout << endl << "--- Testing similarity mapper ---" << endl;
- cout << Mat(linTr) << endl;
- cout << Mat(shift) << endl;
- cout << Mat(mapAff->getLinTr()) << endl;
- cout << Mat(mapAff->getShift()) << endl;
- #endif
- // Check accuracy
- Ptr<Map> mapInv(mapAff->inverseMap());
- mapTest.compose(mapInv);
- double shNorm = cv::norm(mapTest.getShift());
- EXPECT_LE(shNorm, 0.1);
- double linTrNorm = cv::norm(mapTest.getLinTr());
- EXPECT_LE(linTrNorm, sqrt(2.) + 0.01);
- EXPECT_GE(linTrNorm, sqrt(2.) - 0.01);
- }
- void RegTest::testAffine()
- {
- Mat img2;
- // Warp original image
- Matx<double, 2, 2> linTr(1., 0.1, -0.01, 1.);
- Vec<double, 2> shift(1., 1.);
- MapAffine mapTest(linTr, shift);
- mapTest.warp(img1, img2);
- // Register
- Ptr<Mapper> mapper = makePtr<MapperGradAffine>();
- MapperPyramid mappPyr(mapper);
- Ptr<Map> mapPtr = mappPyr.calculate(img1, img2);
- // Print result
- Ptr<MapAffine> mapAff = MapTypeCaster::toAffine(mapPtr);
- #if REG_DEBUG_OUTPUT
- cout << endl << "--- Testing affine mapper ---" << endl;
- cout << Mat(linTr) << endl;
- cout << Mat(shift) << endl;
- cout << Mat(mapAff->getLinTr()) << endl;
- cout << Mat(mapAff->getShift()) << endl;
- #endif
- // Check accuracy
- Ptr<Map> mapInv(mapAff->inverseMap());
- mapTest.compose(mapInv);
- double shNorm = cv::norm(mapTest.getShift());
- EXPECT_LE(shNorm, 0.1);
- double linTrNorm = cv::norm(mapTest.getLinTr());
- EXPECT_LE(linTrNorm, sqrt(2.) + 0.01);
- EXPECT_GE(linTrNorm, sqrt(2.) - 0.01);
- }
- void RegTest::testProjective()
- {
- Mat img2;
- // Warp original image
- Matx<double, 3, 3> projTr(1., 0., 0., 0., 1., 0., 0.0001, 0.0001, 1);
- MapProjec mapTest(projTr);
- mapTest.warp(img1, img2);
- // Register
- Ptr<Mapper> mapper = makePtr<MapperGradProj>();
- MapperPyramid mappPyr(mapper);
- Ptr<Map> mapPtr = mappPyr.calculate(img1, img2);
- // Print result
- Ptr<MapProjec> mapProj = MapTypeCaster::toProjec(mapPtr);
- mapProj->normalize();
- #if REG_DEBUG_OUTPUT
- cout << endl << "--- Testing projective transformation mapper ---" << endl;
- cout << Mat(projTr) << endl;
- cout << Mat(mapProj->getProjTr()) << endl;
- #endif
- // Check accuracy
- Ptr<Map> mapInv(mapProj->inverseMap());
- mapTest.compose(mapInv);
- double projNorm = cv::norm(mapTest.getProjTr());
- EXPECT_LE(projNorm, sqrt(3.) + 0.01);
- EXPECT_GE(projNorm, sqrt(3.) - 0.01);
- }
- void RegTest::loadImage(int dstDataType)
- {
- const string imageName = cvtest::TS::ptr()->get_data_path() + "reg/home.png";
- img1 = imread(imageName, -1);
- ASSERT_TRUE(!img1.empty());
- img1.convertTo(img1, dstDataType);
- }
- TEST_F(RegTest, shift)
- {
- loadImage();
- testShift();
- }
- TEST_F(RegTest, euclidean)
- {
- loadImage();
- testEuclidean();
- }
- TEST_F(RegTest, similarity)
- {
- loadImage();
- testSimilarity();
- }
- TEST_F(RegTest, affine)
- {
- loadImage();
- testAffine();
- }
- TEST_F(RegTest, projective)
- {
- loadImage();
- testProjective();
- }
- TEST_F(RegTest, projective_dt64fc3)
- {
- loadImage(CV_64FC3);
- testProjective();
- }
- TEST_F(RegTest, projective_dt64fc1)
- {
- loadImage(CV_64FC1);
- testProjective();
- }
- }} // namespace
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