/*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. // // * 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" using namespace cv; using namespace std; class Differential { public: typedef Mat_ mat_t; Differential(double eps_, const mat_t& rv1_, const mat_t& tv1_, const mat_t& rv2_, const mat_t& tv2_) : rv1(rv1_), tv1(tv1_), rv2(rv2_), tv2(tv2_), eps(eps_), ev(3, 1) {} void dRv1(mat_t& dr3_dr1, mat_t& dt3_dr1) { dr3_dr1.create(3, 3); dt3_dr1.create(3, 3); for(int i = 0; i < 3; ++i) { ev.setTo(Scalar(0)); ev(i, 0) = eps; composeRT( rv1 + ev, tv1, rv2, tv2, rv3_p, tv3_p); composeRT( rv1 - ev, tv1, rv2, tv2, rv3_m, tv3_m); dr3_dr1.col(i) = rv3_p - rv3_m; dt3_dr1.col(i) = tv3_p - tv3_m; } dr3_dr1 /= 2 * eps; dt3_dr1 /= 2 * eps; } void dRv2(mat_t& dr3_dr2, mat_t& dt3_dr2) { dr3_dr2.create(3, 3); dt3_dr2.create(3, 3); for(int i = 0; i < 3; ++i) { ev.setTo(Scalar(0)); ev(i, 0) = eps; composeRT( rv1, tv1, rv2 + ev, tv2, rv3_p, tv3_p); composeRT( rv1, tv1, rv2 - ev, tv2, rv3_m, tv3_m); dr3_dr2.col(i) = rv3_p - rv3_m; dt3_dr2.col(i) = tv3_p - tv3_m; } dr3_dr2 /= 2 * eps; dt3_dr2 /= 2 * eps; } void dTv1(mat_t& drt3_dt1, mat_t& dt3_dt1) { drt3_dt1.create(3, 3); dt3_dt1.create(3, 3); for(int i = 0; i < 3; ++i) { ev.setTo(Scalar(0)); ev(i, 0) = eps; composeRT( rv1, tv1 + ev, rv2, tv2, rv3_p, tv3_p); composeRT( rv1, tv1 - ev, rv2, tv2, rv3_m, tv3_m); drt3_dt1.col(i) = rv3_p - rv3_m; dt3_dt1.col(i) = tv3_p - tv3_m; } drt3_dt1 /= 2 * eps; dt3_dt1 /= 2 * eps; } void dTv2(mat_t& dr3_dt2, mat_t& dt3_dt2) { dr3_dt2.create(3, 3); dt3_dt2.create(3, 3); for(int i = 0; i < 3; ++i) { ev.setTo(Scalar(0)); ev(i, 0) = eps; composeRT( rv1, tv1, rv2, tv2 + ev, rv3_p, tv3_p); composeRT( rv1, tv1, rv2, tv2 - ev, rv3_m, tv3_m); dr3_dt2.col(i) = rv3_p - rv3_m; dt3_dt2.col(i) = tv3_p - tv3_m; } dr3_dt2 /= 2 * eps; dt3_dt2 /= 2 * eps; } private: const mat_t& rv1, tv1, rv2, tv2; double eps; Mat_ ev; Differential& operator=(const Differential&); Mat rv3_m, tv3_m, rv3_p, tv3_p; }; class CV_composeRT_Test : public cvtest::BaseTest { public: CV_composeRT_Test() {} ~CV_composeRT_Test() {} protected: void run(int) { ts->set_failed_test_info(cvtest::TS::OK); Mat_ rvec1(3, 1), tvec1(3, 1), rvec2(3, 1), tvec2(3, 1); randu(rvec1, Scalar(0), Scalar(6.29)); randu(rvec2, Scalar(0), Scalar(6.29)); randu(tvec1, Scalar(-2), Scalar(2)); randu(tvec2, Scalar(-2), Scalar(2)); Mat rvec3, tvec3; composeRT(rvec1, tvec1, rvec2, tvec2, rvec3, tvec3); Mat rvec3_exp, tvec3_exp; Mat rmat1, rmat2; Rodrigues(rvec1, rmat1); Rodrigues(rvec2, rmat2); Rodrigues(rmat2 * rmat1, rvec3_exp); tvec3_exp = rmat2 * tvec1 + tvec2; const double thres = 1e-5; if (norm(rvec3_exp, rvec3) > thres || norm(tvec3_exp, tvec3) > thres) ts->set_failed_test_info(cvtest::TS::FAIL_BAD_ACCURACY); const double eps = 1e-3; Differential diff(eps, rvec1, tvec1, rvec2, tvec2); Mat dr3dr1, dr3dt1, dr3dr2, dr3dt2, dt3dr1, dt3dt1, dt3dr2, dt3dt2; composeRT(rvec1, tvec1, rvec2, tvec2, rvec3, tvec3, dr3dr1, dr3dt1, dr3dr2, dr3dt2, dt3dr1, dt3dt1, dt3dr2, dt3dt2); Mat_ dr3_dr1, dt3_dr1; diff.dRv1(dr3_dr1, dt3_dr1); if (norm(dr3_dr1, dr3dr1) > thres || norm(dt3_dr1, dt3dr1) > thres) { ts->printf( cvtest::TS::LOG, "Invalid derivates by r1\n" ); ts->set_failed_test_info(cvtest::TS::FAIL_BAD_ACCURACY); } Mat_ dr3_dr2, dt3_dr2; diff.dRv2(dr3_dr2, dt3_dr2); if (norm(dr3_dr2, dr3dr2) > thres || norm(dt3_dr2, dt3dr2) > thres) { ts->printf( cvtest::TS::LOG, "Invalid derivates by r2\n" ); ts->set_failed_test_info(cvtest::TS::FAIL_BAD_ACCURACY); } Mat_ dr3_dt1, dt3_dt1; diff.dTv1(dr3_dt1, dt3_dt1); if (norm(dr3_dt1, dr3dt1) > thres || norm(dt3_dt1, dt3dt1) > thres) { ts->printf( cvtest::TS::LOG, "Invalid derivates by t1\n" ); ts->set_failed_test_info(cvtest::TS::FAIL_BAD_ACCURACY); } Mat_ dr3_dt2, dt3_dt2; diff.dTv2(dr3_dt2, dt3_dt2); if (norm(dr3_dt2, dr3dt2) > thres || norm(dt3_dt2, dt3dt2) > thres) { ts->printf( cvtest::TS::LOG, "Invalid derivates by t2\n" ); ts->set_failed_test_info(cvtest::TS::FAIL_BAD_ACCURACY); } } }; TEST(Calib3d_ComposeRT, accuracy) { CV_composeRT_Test test; test.safe_run(); }