From: edgarriba Date: Fri, 10 Oct 2014 23:44:46 +0000 (+0200) Subject: Updating to c++ interfaces X-Git-Tag: submit/tizen_ivi/20141117.190038~2^2~54^2 X-Git-Url: http://review.tizen.org/git/?a=commitdiff_plain;h=4071c4e7c9e53f7b46809514f704a414e6778004;p=profile%2Fivi%2Fopencv.git Updating to c++ interfaces --- diff --git a/modules/calib3d/src/upnp.cpp b/modules/calib3d/src/upnp.cpp index d4157ea..378f5a1 100644 --- a/modules/calib3d/src/upnp.cpp +++ b/modules/calib3d/src/upnp.cpp @@ -1,8 +1,58 @@ +//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, Intel Corporation, all rights reserved. +// Copyright (C) 2013, OpenCV Foundation, 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*/ + +/****************************************************************************************\ +* Exhaustive Linearization for Robust Camera Pose and Focal Length Estimation. +* Contributed by Edgar Riba +\****************************************************************************************/ + #include "precomp.hpp" #include "upnp.h" #include -upnp::upnp(const cv::Mat& cameraMatrix, const cv::Mat& opoints, const cv::Mat& ipoints) +using namespace std; +using namespace cv; + +upnp::upnp(const Mat& cameraMatrix, const Mat& opoints, const Mat& ipoints) { if (cameraMatrix.depth() == CV_32F) init_camera_parameters(cameraMatrix); @@ -17,14 +67,14 @@ upnp::upnp(const cv::Mat& cameraMatrix, const cv::Mat& opoints, const cv::Mat& i if (opoints.depth() == ipoints.depth()) { if (opoints.depth() == CV_32F) - init_points(opoints, ipoints); + init_points(opoints, ipoints); else - init_points(opoints, ipoints); + init_points(opoints, ipoints); } else if (opoints.depth() == CV_32F) - init_points(opoints, ipoints); + init_points(opoints, ipoints); else - init_points(opoints, ipoints); + init_points(opoints, ipoints); alphas.resize(4 * number_of_correspondences); pcs.resize(3 * number_of_correspondences); @@ -42,30 +92,32 @@ upnp::~upnp() delete[] A2; } -double upnp::compute_pose(cv::Mat& R, cv::Mat& t) +double upnp::compute_pose(Mat& R, Mat& t) { choose_control_points(); compute_alphas(); - CvMat * M = cvCreateMat(2 * number_of_correspondences, 12, CV_64F); + Mat * M = new Mat(2 * number_of_correspondences, 12, CV_64F); for(int i = 0; i < number_of_correspondences; i++) { fill_M(M, 2 * i, &alphas[0] + 4 * i, us[2 * i], us[2 * i + 1]); } - double mtm[12 * 12], d[12], ut[12 * 12]; - CvMat MtM = cvMat(12, 12, CV_64F, mtm); - CvMat D = cvMat(12, 1, CV_64F, d); - CvMat Ut = cvMat(12, 12, CV_64F, ut); + double mtm[12 * 12], d[12], ut[12 * 12], vt[12 * 12]; + Mat MtM = Mat(12, 12, CV_64F, mtm); + Mat D = Mat(12, 1, CV_64F, d); + Mat Ut = Mat(12, 12, CV_64F, ut); + Mat Vt = Mat(12, 12, CV_64F, vt); - cvMulTransposed(M, &MtM, 1); - cvSVD(&MtM, &D, &Ut, 0, CV_SVD_MODIFY_A | CV_SVD_U_T); - cvReleaseMat(&M); + MtM = M->t() * (*M); + SVD::compute(MtM, D, Ut, Vt, SVD::MODIFY_A | SVD::FULL_UV); + Mat(Ut.t()).copyTo(Ut); + M->release(); double l_6x12[6 * 12], rho[6]; - CvMat L_6x12 = cvMat(6, 12, CV_64F, l_6x12); - CvMat Rho = cvMat(6, 1, CV_64F, rho); + Mat L_6x12 = Mat(6, 12, CV_64F, l_6x12); + Mat Rho = Mat(6, 1, CV_64F, rho); compute_L_6x12(ut, l_6x12); compute_rho(rho); @@ -84,8 +136,8 @@ double upnp::compute_pose(cv::Mat& R, cv::Mat& t) int N = 1; if (rep_errors[2] < rep_errors[1]) N = 2; - cv::Mat(3, 1, CV_64F, ts[N]).copyTo(t); - cv::Mat(3, 3, CV_64F, Rs[N]).copyTo(R); + Mat(3, 1, CV_64F, ts[N]).copyTo(t); + Mat(3, 3, CV_64F, Rs[N]).copyTo(R); fu = fv = Efs[N][0]; return fu; @@ -96,7 +148,7 @@ void upnp::copy_R_and_t(const double R_src[3][3], const double t_src[3], { for(int i = 0; i < 3; i++) { for(int j = 0; j < 3; j++) - R_dst[i][j] = R_src[i][j]; + R_dst[i][j] = R_src[i][j]; t_dst[i] = t_src[i]; } } @@ -123,12 +175,12 @@ void upnp::estimate_R_and_t(double R[3][3], double t[3]) } double abt[3 * 3], abt_d[3], abt_u[3 * 3], abt_v[3 * 3]; - CvMat ABt = cvMat(3, 3, CV_64F, abt); - CvMat ABt_D = cvMat(3, 1, CV_64F, abt_d); - CvMat ABt_U = cvMat(3, 3, CV_64F, abt_u); - CvMat ABt_V = cvMat(3, 3, CV_64F, abt_v); + Mat ABt = Mat(3, 3, CV_64F, abt); + Mat ABt_D = Mat(3, 1, CV_64F, abt_d); + Mat ABt_U = Mat(3, 3, CV_64F, abt_u); + Mat ABt_V = Mat(3, 3, CV_64F, abt_v); - cvSetZero(&ABt); + ABt.setTo(0.0); for(int i = 0; i < number_of_correspondences; i++) { double * pc = &pcs[3 * i]; double * pw = &pws[3 * i]; @@ -140,7 +192,8 @@ void upnp::estimate_R_and_t(double R[3][3], double t[3]) } } - cvSVD(&ABt, &ABt_D, &ABt_U, &ABt_V, CV_SVD_MODIFY_A); + SVD::compute(ABt, ABt_D, ABt_U, ABt_V, SVD::MODIFY_A); + Mat(ABt_V.t()).copyTo(ABt_V); for(int i = 0; i < 3; i++) for(int j = 0; j < 3; j++) @@ -211,31 +264,31 @@ double upnp::reprojection_error(const double R[3][3], const double t[3]) void upnp::choose_control_points() { for (int i = 0; i < 4; ++i) - cws[i][0] = cws[i][1] = cws[i][2] = 0; - cws[0][0] = cws[1][1] = cws[2][2] = 1.; + cws[i][0] = cws[i][1] = cws[i][2] = 0.0; + cws[0][0] = cws[1][1] = cws[2][2] = 1.0; } void upnp::compute_alphas() { - cv::Mat CC = cv::Mat(4, 3, CV_64F, &cws); - cv::Mat PC = cv::Mat(number_of_correspondences, 3, CV_64F, &pws[0]); - cv::Mat ALPHAS = cv::Mat(number_of_correspondences, 4, CV_64F, &alphas[0]); + Mat CC = Mat(4, 3, CV_64F, &cws); + Mat PC = Mat(number_of_correspondences, 3, CV_64F, &pws[0]); + Mat ALPHAS = Mat(number_of_correspondences, 4, CV_64F, &alphas[0]); - cv::Mat CC_ = CC.clone().t(); - cv::Mat PC_ = PC.clone().t(); + Mat CC_ = CC.clone().t(); + Mat PC_ = PC.clone().t(); - cv::Mat row14 = cv::Mat::ones(1, 4, CV_64F); - cv::Mat row1n = cv::Mat::ones(1, number_of_correspondences, CV_64F); + Mat row14 = Mat::ones(1, 4, CV_64F); + Mat row1n = Mat::ones(1, number_of_correspondences, CV_64F); CC_.push_back(row14); PC_.push_back(row1n); - ALPHAS = cv::Mat( CC_.inv() * PC_ ).t(); + ALPHAS = Mat( CC_.inv() * PC_ ).t(); } -void upnp::fill_M(CvMat * M, const int row, const double * as, const double u, const double v) +void upnp::fill_M(Mat * M, const int row, const double * as, const double u, const double v) { - double * M1 = M->data.db + row * 12; + double * M1 = M->ptr(row); double * M2 = M1 + 12; for(int i = 0; i < 4; i++) { @@ -252,7 +305,7 @@ void upnp::fill_M(CvMat * M, const int row, const double * as, const double u, c void upnp::compute_ccs(const double * betas, const double * ut) { for(int i = 0; i < 4; ++i) - ccs[i][0] = ccs[i][1] = ccs[i][2] = 0.0f; + ccs[i][0] = ccs[i][1] = ccs[i][2] = 0.0; int N = 4; for(int i = 0; i < N; ++i) { @@ -276,42 +329,45 @@ void upnp::compute_pcs(void) } } -void upnp::find_betas_and_focal_approx_1(const CvMat * Ut, const CvMat * Rho, double * betas, double * efs) +void upnp::find_betas_and_focal_approx_1(Mat * Ut, Mat * Rho, double * betas, double * efs) { - cv::Mat Kmf1 = cv::Mat(12, 1, CV_64F, Ut->data.db + 11 * 12); - cv::Mat dsq = cv::Mat(6, 1, CV_64F, Rho->data.db); + Mat Kmf1 = Mat(12, 1, CV_64F, Ut->ptr(11)); + Mat dsq = Mat(6, 1, CV_64F, Rho->ptr(0)); - cv::Mat D = compute_constraint_distance_2param_6eq_2unk_f_unk( Kmf1 ); - cv::Mat Dt = D.t(); + Mat D = compute_constraint_distance_2param_6eq_2unk_f_unk( Kmf1 ); + Mat Dt = D.t(); - cv::Mat A = Dt * D; - cv::Mat b = Dt * dsq; + Mat A = Dt * D; + Mat b = Dt * dsq; - cv::Mat x = cv::Mat(2, 1, CV_64F); - cv::solve(A, b, x); + Mat x = Mat(2, 1, CV_64F); + solve(A, b, x); - betas[0] = std::sqrt( std::abs( x.at(0) ) ); - betas[1] = betas[2] = betas[3] = 0; + betas[0] = sqrt( abs( x.at(0) ) ); + betas[1] = betas[2] = betas[3] = 0.0; - efs[0] = std::sqrt( std::abs( x.at(1) ) ) / betas[0]; + efs[0] = sqrt( abs( x.at(1) ) ) / betas[0]; } -void upnp::find_betas_and_focal_approx_2(const CvMat * Ut, const CvMat * Rho, double * betas, double * efs) +void upnp::find_betas_and_focal_approx_2(Mat * Ut, Mat * Rho, double * betas, double * efs) { + double u[12*12]; + Mat U = Mat(12, 12, CV_64F, u); + Ut->copyTo(U); - cv::Mat Kmf1 = cv::Mat(12, 1, CV_64F, Ut->data.db + 10 * 12); - cv::Mat Kmf2 = cv::Mat(12, 1, CV_64F, Ut->data.db + 11 * 12); - cv::Mat dsq = cv::Mat(6, 1, CV_64F, Rho->data.db); + Mat Kmf1 = Mat(12, 1, CV_64F, Ut->ptr(10)); + Mat Kmf2 = Mat(12, 1, CV_64F, Ut->ptr(11)); + Mat dsq = Mat(6, 1, CV_64F, Rho->ptr(0)); - cv::Mat D = compute_constraint_distance_3param_6eq_6unk_f_unk( Kmf1, Kmf2 ); + Mat D = compute_constraint_distance_3param_6eq_6unk_f_unk( Kmf1, Kmf2 ); - cv::Mat A = D; - cv::Mat b = dsq; + Mat A = D; + Mat b = dsq; double x[6]; - cv::Mat X = cv::Mat(6, 1, CV_64F, x); + Mat X = Mat(6, 1, CV_64F, x); - cv::solve(A, b, X, cv::DECOMP_QR); + solve(A, b, X, DECOMP_QR); double solutions[18][3]; generate_all_possible_solutions_for_f_unk(x, solutions); @@ -323,11 +379,11 @@ void upnp::find_betas_and_focal_approx_2(const CvMat * Ut, const CvMat * Rho, do betas[3] = solutions[i][0]; betas[2] = solutions[i][1]; - betas[1] = betas[0] = 0; + betas[1] = betas[0] = 0.0; fu = fv = solutions[i][2]; double Rs[3][3], ts[3]; - double error_i = compute_R_and_t( Ut->data.db, betas, Rs, ts); + double error_i = compute_R_and_t( u, betas, Rs, ts); if( error_i < min_error) { @@ -338,136 +394,136 @@ void upnp::find_betas_and_focal_approx_2(const CvMat * Ut, const CvMat * Rho, do betas[0] = solutions[min_sol][0]; betas[1] = solutions[min_sol][1]; - betas[2] = betas[3] = 0; + betas[2] = betas[3] = 0.0; efs[0] = solutions[min_sol][2]; } -cv::Mat upnp::compute_constraint_distance_2param_6eq_2unk_f_unk(const cv::Mat& M1) +Mat upnp::compute_constraint_distance_2param_6eq_2unk_f_unk(const Mat& M1) { - cv::Mat P = cv::Mat(6, 2, CV_64F); + Mat P = Mat(6, 2, CV_64F); double m[13]; - for (int i = 1; i < 13; ++i) m[i] = M1.at(i-1); - - double t1 = std::pow( m[4], 2 ); - double t4 = std::pow( m[1], 2 ); - double t5 = std::pow( m[5], 2 ); - double t8 = std::pow( m[2], 2 ); - double t10 = std::pow( m[6], 2 ); - double t13 = std::pow( m[3], 2 ); - double t15 = std::pow( m[7], 2 ); - double t18 = std::pow( m[8], 2 ); - double t22 = std::pow( m[9], 2 ); - double t26 = std::pow( m[10], 2 ); - double t29 = std::pow( m[11], 2 ); - double t33 = std::pow( m[12], 2 ); - - P.at(0,0) = t1 - 2 * m[4] * m[1] + t4 + t5 - 2 * m[5] * m[2] + t8; - P.at(0,1) = t10 - 2 * m[6] * m[3] + t13; - P.at(1,0) = t15 - 2 * m[7] * m[1] + t4 + t18 - 2 * m[8] * m[2] + t8; - P.at(1,1) = t22 - 2 * m[9] * m[3] + t13; - P.at(2,0) = t26 - 2 * m[10] * m[1] + t4 + t29 - 2 * m[11] * m[2] + t8; - P.at(2,1) = t33 - 2 * m[12] * m[3] + t13; - P.at(3,0) = t15 - 2 * m[7] * m[4] + t1 + t18 - 2 * m[8] * m[5] + t5; - P.at(3,1) = t22 - 2 * m[9] * m[6] + t10; - P.at(4,0) = t26 - 2 * m[10] * m[4] + t1 + t29 - 2 * m[11] * m[5] + t5; - P.at(4,1) = t33 - 2 * m[12] * m[6] + t10; - P.at(5,0) = t26 - 2 * m[10] * m[7] + t15 + t29 - 2 * m[11] * m[8] + t18; - P.at(5,1) = t33 - 2 * m[12] * m[9] + t22; + for (int i = 1; i < 13; ++i) m[i] = *M1.ptr(i-1); + + double t1 = pow( m[4], 2 ); + double t4 = pow( m[1], 2 ); + double t5 = pow( m[5], 2 ); + double t8 = pow( m[2], 2 ); + double t10 = pow( m[6], 2 ); + double t13 = pow( m[3], 2 ); + double t15 = pow( m[7], 2 ); + double t18 = pow( m[8], 2 ); + double t22 = pow( m[9], 2 ); + double t26 = pow( m[10], 2 ); + double t29 = pow( m[11], 2 ); + double t33 = pow( m[12], 2 ); + + *P.ptr(0,0) = t1 - 2 * m[4] * m[1] + t4 + t5 - 2 * m[5] * m[2] + t8; + *P.ptr(0,1) = t10 - 2 * m[6] * m[3] + t13; + *P.ptr(1,0) = t15 - 2 * m[7] * m[1] + t4 + t18 - 2 * m[8] * m[2] + t8; + *P.ptr(1,1) = t22 - 2 * m[9] * m[3] + t13; + *P.ptr(2,0) = t26 - 2 * m[10] * m[1] + t4 + t29 - 2 * m[11] * m[2] + t8; + *P.ptr(2,1) = t33 - 2 * m[12] * m[3] + t13; + *P.ptr(3,0) = t15 - 2 * m[7] * m[4] + t1 + t18 - 2 * m[8] * m[5] + t5; + *P.ptr(3,1) = t22 - 2 * m[9] * m[6] + t10; + *P.ptr(4,0) = t26 - 2 * m[10] * m[4] + t1 + t29 - 2 * m[11] * m[5] + t5; + *P.ptr(4,1) = t33 - 2 * m[12] * m[6] + t10; + *P.ptr(5,0) = t26 - 2 * m[10] * m[7] + t15 + t29 - 2 * m[11] * m[8] + t18; + *P.ptr(5,1) = t33 - 2 * m[12] * m[9] + t22; return P; } -cv::Mat upnp::compute_constraint_distance_3param_6eq_6unk_f_unk(const cv::Mat& M1, const cv::Mat& M2) +Mat upnp::compute_constraint_distance_3param_6eq_6unk_f_unk(const Mat& M1, const Mat& M2) { - cv::Mat P = cv::Mat(6, 6, CV_64F); + Mat P = Mat(6, 6, CV_64F); double m[3][13]; for (int i = 1; i < 13; ++i) { - m[1][i] = M1.at(i-1); - m[2][i] = M2.at(i-1); + m[1][i] = *M1.ptr(i-1); + m[2][i] = *M2.ptr(i-1); } - double t1 = std::pow( m[1][4], 2 ); - double t2 = std::pow( m[1][1], 2 ); - double t7 = std::pow( m[1][5], 2 ); - double t8 = std::pow( m[1][2], 2 ); + double t1 = pow( m[1][4], 2 ); + double t2 = pow( m[1][1], 2 ); + double t7 = pow( m[1][5], 2 ); + double t8 = pow( m[1][2], 2 ); double t11 = m[1][1] * m[2][1]; double t12 = m[1][5] * m[2][5]; double t15 = m[1][2] * m[2][2]; double t16 = m[1][4] * m[2][4]; - double t19 = std::pow( m[2][4], 2 ); - double t22 = std::pow( m[2][2], 2 ); - double t23 = std::pow( m[2][1], 2 ); - double t24 = std::pow( m[2][5], 2 ); - double t28 = std::pow( m[1][6], 2 ); - double t29 = std::pow( m[1][3], 2 ); - double t34 = std::pow( m[1][3], 2 ); + double t19 = pow( m[2][4], 2 ); + double t22 = pow( m[2][2], 2 ); + double t23 = pow( m[2][1], 2 ); + double t24 = pow( m[2][5], 2 ); + double t28 = pow( m[1][6], 2 ); + double t29 = pow( m[1][3], 2 ); + double t34 = pow( m[1][3], 2 ); double t36 = m[1][6] * m[2][6]; - double t40 = std::pow( m[2][6], 2 ); - double t41 = std::pow( m[2][3], 2 ); - double t47 = std::pow( m[1][7], 2 ); - double t48 = std::pow( m[1][8], 2 ); + double t40 = pow( m[2][6], 2 ); + double t41 = pow( m[2][3], 2 ); + double t47 = pow( m[1][7], 2 ); + double t48 = pow( m[1][8], 2 ); double t52 = m[1][7] * m[2][7]; double t55 = m[1][8] * m[2][8]; - double t59 = std::pow( m[2][8], 2 ); - double t62 = std::pow( m[2][7], 2 ); - double t64 = std::pow( m[1][9], 2 ); + double t59 = pow( m[2][8], 2 ); + double t62 = pow( m[2][7], 2 ); + double t64 = pow( m[1][9], 2 ); double t68 = m[1][9] * m[2][9]; - double t74 = std::pow( m[2][9], 2 ); - double t78 = std::pow( m[1][10], 2 ); - double t79 = std::pow( m[1][11], 2 ); + double t74 = pow( m[2][9], 2 ); + double t78 = pow( m[1][10], 2 ); + double t79 = pow( m[1][11], 2 ); double t84 = m[1][10] * m[2][10]; double t87 = m[1][11] * m[2][11]; - double t90 = std::pow( m[2][10], 2 ); - double t95 = std::pow( m[2][11], 2 ); - double t99 = std::pow( m[1][12], 2 ); + double t90 = pow( m[2][10], 2 ); + double t95 = pow( m[2][11], 2 ); + double t99 = pow( m[1][12], 2 ); double t101 = m[1][12] * m[2][12]; - double t105 = std::pow( m[2][12], 2 ); - - P.at(0,0) = t1 + t2 - 2 * m[1][4] * m[1][1] - 2 * m[1][5] * m[1][2] + t7 + t8; - P.at(0,1) = -2 * m[2][4] * m[1][1] + 2 * t11 + 2 * t12 - 2 * m[1][4] * m[2][1] - 2 * m[2][5] * m[1][2] + 2 * t15 + 2 * t16 - 2 * m[1][5] * m[2][2]; - P.at(0,2) = t19 - 2 * m[2][4] * m[2][1] + t22 + t23 + t24 - 2 * m[2][5] * m[2][2]; - P.at(0,3) = t28 + t29 - 2 * m[1][6] * m[1][3]; - P.at(0,4) = -2 * m[2][6] * m[1][3] + 2 * t34 - 2 * m[1][6] * m[2][3] + 2 * t36; - P.at(0,5) = -2 * m[2][6] * m[2][3] + t40 + t41; - - P.at(1,0) = t8 - 2 * m[1][8] * m[1][2] - 2 * m[1][7] * m[1][1] + t47 + t48 + t2; - P.at(1,1) = 2 * t15 - 2 * m[1][8] * m[2][2] - 2 * m[2][8] * m[1][2] + 2 * t52 - 2 * m[1][7] * m[2][1] - 2 * m[2][7] * m[1][1] + 2 * t55 + 2 * t11; - P.at(1,2) = -2 * m[2][8] * m[2][2] + t22 + t23 + t59 - 2 * m[2][7] * m[2][1] + t62; - P.at(1,3) = t29 + t64 - 2 * m[1][9] * m[1][3]; - P.at(1,4) = 2 * t34 + 2 * t68 - 2 * m[2][9] * m[1][3] - 2 * m[1][9] * m[2][3]; - P.at(1,5) = -2 * m[2][9] * m[2][3] + t74 + t41; - - P.at(2,0) = -2 * m[1][11] * m[1][2] + t2 + t8 + t78 + t79 - 2 * m[1][10] * m[1][1]; - P.at(2,1) = 2 * t15 - 2 * m[1][11] * m[2][2] + 2 * t84 - 2 * m[1][10] * m[2][1] - 2 * m[2][10] * m[1][1] + 2 * t87 - 2 * m[2][11] * m[1][2]+ 2 * t11; - P.at(2,2) = t90 + t22 - 2 * m[2][10] * m[2][1] + t23 - 2 * m[2][11] * m[2][2] + t95; - P.at(2,3) = -2 * m[1][12] * m[1][3] + t99 + t29; - P.at(2,4) = 2 * t34 + 2 * t101 - 2 * m[2][12] * m[1][3] - 2 * m[1][12] * m[2][3]; - P.at(2,5) = t41 + t105 - 2 * m[2][12] * m[2][3]; - - P.at(3,0) = t48 + t1 - 2 * m[1][8] * m[1][5] + t7 - 2 * m[1][7] * m[1][4] + t47; - P.at(3,1) = 2 * t16 - 2 * m[1][7] * m[2][4] + 2 * t55 + 2 * t52 - 2 * m[1][8] * m[2][5] - 2 * m[2][8] * m[1][5] - 2 * m[2][7] * m[1][4] + 2 * t12; - P.at(3,2) = t24 - 2 * m[2][8] * m[2][5] + t19 - 2 * m[2][7] * m[2][4] + t62 + t59; - P.at(3,3) = -2 * m[1][9] * m[1][6] + t64 + t28; - P.at(3,4) = 2 * t68 + 2 * t36 - 2 * m[2][9] * m[1][6] - 2 * m[1][9] * m[2][6]; - P.at(3,5) = t40 + t74 - 2 * m[2][9] * m[2][6]; - - P.at(4,0) = t1 - 2 * m[1][10] * m[1][4] + t7 + t78 + t79 - 2 * m[1][11] * m[1][5]; - P.at(4,1) = 2 * t84 - 2 * m[1][11] * m[2][5] - 2 * m[1][10] * m[2][4] + 2 * t16 - 2 * m[2][11] * m[1][5] + 2 * t87 - 2 * m[2][10] * m[1][4] + 2 * t12; - P.at(4,2) = t19 + t24 - 2 * m[2][10] * m[2][4] - 2 * m[2][11] * m[2][5] + t95 + t90; - P.at(4,3) = t28 - 2 * m[1][12] * m[1][6] + t99; - P.at(4,4) = 2 * t101 + 2 * t36 - 2 * m[2][12] * m[1][6] - 2 * m[1][12] * m[2][6]; - P.at(4,5) = t105 - 2 * m[2][12] * m[2][6] + t40; - - P.at(5,0) = -2 * m[1][10] * m[1][7] + t47 + t48 + t78 + t79 - 2 * m[1][11] * m[1][8]; - P.at(5,1) = 2 * t84 + 2 * t87 - 2 * m[2][11] * m[1][8] - 2 * m[1][10] * m[2][7] - 2 * m[2][10] * m[1][7] + 2 * t55 + 2 * t52 - 2 * m[1][11] * m[2][8]; - P.at(5,2) = -2 * m[2][10] * m[2][7] - 2 * m[2][11] * m[2][8] + t62 + t59 + t90 + t95; - P.at(5,3) = t64 - 2 * m[1][12] * m[1][9] + t99; - P.at(5,4) = 2 * t68 - 2 * m[2][12] * m[1][9] - 2 * m[1][12] * m[2][9] + 2 * t101; - P.at(5,5) = t105 - 2 * m[2][12] * m[2][9] + t74; + double t105 = pow( m[2][12], 2 ); + + *P.ptr(0,0) = t1 + t2 - 2 * m[1][4] * m[1][1] - 2 * m[1][5] * m[1][2] + t7 + t8; + *P.ptr(0,1) = -2 * m[2][4] * m[1][1] + 2 * t11 + 2 * t12 - 2 * m[1][4] * m[2][1] - 2 * m[2][5] * m[1][2] + 2 * t15 + 2 * t16 - 2 * m[1][5] * m[2][2]; + *P.ptr(0,2) = t19 - 2 * m[2][4] * m[2][1] + t22 + t23 + t24 - 2 * m[2][5] * m[2][2]; + *P.ptr(0,3) = t28 + t29 - 2 * m[1][6] * m[1][3]; + *P.ptr(0,4) = -2 * m[2][6] * m[1][3] + 2 * t34 - 2 * m[1][6] * m[2][3] + 2 * t36; + *P.ptr(0,5) = -2 * m[2][6] * m[2][3] + t40 + t41; + + *P.ptr(1,0) = t8 - 2 * m[1][8] * m[1][2] - 2 * m[1][7] * m[1][1] + t47 + t48 + t2; + *P.ptr(1,1) = 2 * t15 - 2 * m[1][8] * m[2][2] - 2 * m[2][8] * m[1][2] + 2 * t52 - 2 * m[1][7] * m[2][1] - 2 * m[2][7] * m[1][1] + 2 * t55 + 2 * t11; + *P.ptr(1,2) = -2 * m[2][8] * m[2][2] + t22 + t23 + t59 - 2 * m[2][7] * m[2][1] + t62; + *P.ptr(1,3) = t29 + t64 - 2 * m[1][9] * m[1][3]; + *P.ptr(1,4) = 2 * t34 + 2 * t68 - 2 * m[2][9] * m[1][3] - 2 * m[1][9] * m[2][3]; + *P.ptr(1,5) = -2 * m[2][9] * m[2][3] + t74 + t41; + + *P.ptr(2,0) = -2 * m[1][11] * m[1][2] + t2 + t8 + t78 + t79 - 2 * m[1][10] * m[1][1]; + *P.ptr(2,1) = 2 * t15 - 2 * m[1][11] * m[2][2] + 2 * t84 - 2 * m[1][10] * m[2][1] - 2 * m[2][10] * m[1][1] + 2 * t87 - 2 * m[2][11] * m[1][2]+ 2 * t11; + *P.ptr(2,2) = t90 + t22 - 2 * m[2][10] * m[2][1] + t23 - 2 * m[2][11] * m[2][2] + t95; + *P.ptr(2,3) = -2 * m[1][12] * m[1][3] + t99 + t29; + *P.ptr(2,4) = 2 * t34 + 2 * t101 - 2 * m[2][12] * m[1][3] - 2 * m[1][12] * m[2][3]; + *P.ptr(2,5) = t41 + t105 - 2 * m[2][12] * m[2][3]; + + *P.ptr(3,0) = t48 + t1 - 2 * m[1][8] * m[1][5] + t7 - 2 * m[1][7] * m[1][4] + t47; + *P.ptr(3,1) = 2 * t16 - 2 * m[1][7] * m[2][4] + 2 * t55 + 2 * t52 - 2 * m[1][8] * m[2][5] - 2 * m[2][8] * m[1][5] - 2 * m[2][7] * m[1][4] + 2 * t12; + *P.ptr(3,2) = t24 - 2 * m[2][8] * m[2][5] + t19 - 2 * m[2][7] * m[2][4] + t62 + t59; + *P.ptr(3,3) = -2 * m[1][9] * m[1][6] + t64 + t28; + *P.ptr(3,4) = 2 * t68 + 2 * t36 - 2 * m[2][9] * m[1][6] - 2 * m[1][9] * m[2][6]; + *P.ptr(3,5) = t40 + t74 - 2 * m[2][9] * m[2][6]; + + *P.ptr(4,0) = t1 - 2 * m[1][10] * m[1][4] + t7 + t78 + t79 - 2 * m[1][11] * m[1][5]; + *P.ptr(4,1) = 2 * t84 - 2 * m[1][11] * m[2][5] - 2 * m[1][10] * m[2][4] + 2 * t16 - 2 * m[2][11] * m[1][5] + 2 * t87 - 2 * m[2][10] * m[1][4] + 2 * t12; + *P.ptr(4,2) = t19 + t24 - 2 * m[2][10] * m[2][4] - 2 * m[2][11] * m[2][5] + t95 + t90; + *P.ptr(4,3) = t28 - 2 * m[1][12] * m[1][6] + t99; + *P.ptr(4,4) = 2 * t101 + 2 * t36 - 2 * m[2][12] * m[1][6] - 2 * m[1][12] * m[2][6]; + *P.ptr(4,5) = t105 - 2 * m[2][12] * m[2][6] + t40; + + *P.ptr(5,0) = -2 * m[1][10] * m[1][7] + t47 + t48 + t78 + t79 - 2 * m[1][11] * m[1][8]; + *P.ptr(5,1) = 2 * t84 + 2 * t87 - 2 * m[2][11] * m[1][8] - 2 * m[1][10] * m[2][7] - 2 * m[2][10] * m[1][7] + 2 * t55 + 2 * t52 - 2 * m[1][11] * m[2][8]; + *P.ptr(5,2) = -2 * m[2][10] * m[2][7] - 2 * m[2][11] * m[2][8] + t62 + t59 + t90 + t95; + *P.ptr(5,3) = t64 - 2 * m[1][12] * m[1][9] + t99; + *P.ptr(5,4) = 2 * t68 - 2 * m[2][12] * m[1][9] - 2 * m[1][12] * m[2][9] + 2 * t101; + *P.ptr(5,5) = t105 - 2 * m[2][12] * m[2][9] + t74; return P; } @@ -496,37 +552,37 @@ void upnp::generate_all_possible_solutions_for_f_unk(const double betas[5], doub for (int i = 0; i < 18; ++i) { double matrix[9], independent_term[3]; - cv::Mat M = cv::Mat(3, 3, CV_64F, matrix); - cv::Mat I = cv::Mat(3, 1, CV_64F, independent_term); - cv::Mat S = cv::Mat(1, 3, CV_64F); + Mat M = Mat(3, 3, CV_64F, matrix); + Mat I = Mat(3, 1, CV_64F, independent_term); + Mat S = Mat(1, 3, CV_64F); for (int j = 0; j < 9; ++j) matrix[j] = (double)matrix_to_resolve[i][j]; - independent_term[0] = std::log( std::abs( betas[ combination[i][0]-1 ] ) ); - independent_term[1] = std::log( std::abs( betas[ combination[i][1]-1 ] ) ); - independent_term[2] = std::log( std::abs( betas[ combination[i][2]-1 ] ) ); + independent_term[0] = log( abs( betas[ combination[i][0]-1 ] ) ); + independent_term[1] = log( abs( betas[ combination[i][1]-1 ] ) ); + independent_term[2] = log( abs( betas[ combination[i][2]-1 ] ) ); - cv::exp( cv::Mat(M.inv() * I), S); + exp( Mat(M.inv() * I), S); solutions[i][0] = S.at(0); solutions[i][1] = S.at(1) * sign( betas[1] ); - solutions[i][2] = std::abs( S.at(2) ); + solutions[i][2] = abs( S.at(2) ); } } -void upnp::gauss_newton(const CvMat * L_6x12, const CvMat * Rho, double betas[4], double * f) +void upnp::gauss_newton(const Mat * L_6x12, const Mat * Rho, double betas[4], double * f) { const int iterations_number = 50; double a[6*4], b[6], x[4]; - CvMat A = cvMat(6, 4, CV_64F, a); - CvMat B = cvMat(6, 1, CV_64F, b); - CvMat X = cvMat(4, 1, CV_64F, x); + Mat * A = new Mat(6, 4, CV_64F, a); + Mat * B = new Mat(6, 1, CV_64F, b); + Mat * X = new Mat(4, 1, CV_64F, x); for(int k = 0; k < iterations_number; k++) { - compute_A_and_b_gauss_newton(L_6x12->data.db, Rho->data.db, betas, &A, &B, f[0]); - qr_solve(&A, &B, &X); + compute_A_and_b_gauss_newton(L_6x12->ptr(0), Rho->ptr(0), betas, A, B, f[0]); + qr_solve(A, B, X); for(int i = 0; i < 3; i++) betas[i] += x[i]; f[0] += x[3]; @@ -538,19 +594,19 @@ void upnp::gauss_newton(const CvMat * L_6x12, const CvMat * Rho, double betas[4] } void upnp::compute_A_and_b_gauss_newton(const double * l_6x12, const double * rho, - const double betas[4], CvMat * A, CvMat * b, double const f) + const double betas[4], Mat * A, Mat * b, double const f) { for(int i = 0; i < 6; i++) { const double * rowL = l_6x12 + i * 12; - double * rowA = A->data.db + i * 4; + double * rowA = A->ptr(i); rowA[0] = 2 * rowL[0] * betas[0] + rowL[1] * betas[1] + rowL[2] * betas[2] + f*f * ( 2 * rowL[6]*betas[0] + rowL[7]*betas[1] + rowL[8]*betas[2] ); rowA[1] = rowL[1] * betas[0] + 2 * rowL[3] * betas[1] + rowL[4] * betas[2] + f*f * ( rowL[7]*betas[0] + 2 * rowL[9]*betas[1] + rowL[10]*betas[2] ); rowA[2] = rowL[2] * betas[0] + rowL[4] * betas[1] + 2 * rowL[5] * betas[2] + f*f * ( rowL[8]*betas[0] + rowL[10]*betas[1] + 2 * rowL[11]*betas[2] ); rowA[3] = 2*f * ( rowL[6]*betas[0]*betas[0] + rowL[7]*betas[0]*betas[1] + rowL[8]*betas[0]*betas[2] + rowL[9]*betas[1]*betas[1] + rowL[10]*betas[1]*betas[2] + rowL[11]*betas[2]*betas[2] ) ; - cvmSet(b, i, 0, rho[i] - + *b->ptr(i) = rho[i] - ( rowL[0] * betas[0] * betas[0] + rowL[1] * betas[0] * betas[1] + @@ -564,7 +620,7 @@ void upnp::compute_A_and_b_gauss_newton(const double * l_6x12, const double * rh f*f * rowL[9] * betas[1] * betas[1] + f*f * rowL[10] * betas[1] * betas[2] + f*f * rowL[11] * betas[2] * betas[2] - )); + ); } } @@ -647,10 +703,10 @@ double upnp::dotZ(const double * v1, const double * v2) double upnp::sign(const double v) { - return ( v < 0 ) ? -1. : ( v > 0 ) ? 1. : 0.; + return ( v < 0.0 ) ? -1.0 : ( v > 0.0 ) ? 1.0 : 0.0; } -void upnp::qr_solve(CvMat * A, CvMat * b, CvMat * X) +void upnp::qr_solve(Mat * A, Mat * b, Mat * X) { const int nr = A->rows; const int nc = A->cols; @@ -667,7 +723,7 @@ void upnp::qr_solve(CvMat * A, CvMat * b, CvMat * X) A2 = new double[nr]; } - double * pA = A->data.db, * ppAkk = pA; + double * pA = A->ptr(0), * ppAkk = pA; for(int k = 0; k < nc; k++) { double * ppAik1 = ppAkk, eta = fabs(*ppAik1); @@ -719,7 +775,7 @@ void upnp::qr_solve(CvMat * A, CvMat * b, CvMat * X) } // b <- Qt b - double * ppAjj = pA, * pb = b->data.db; + double * ppAjj = pA, * pb = b->ptr(0); for(int j = 0; j < nc; j++) { double * ppAij = ppAjj, tau = 0; @@ -739,7 +795,7 @@ void upnp::qr_solve(CvMat * A, CvMat * b, CvMat * X) } // X = R-1 b - double * pX = X->data.db; + double * pX = X->ptr(0); pX[nc - 1] = pb[nc - 1] / A2[nc - 1]; for(int i = nc - 2; i >= 0; i--) { diff --git a/modules/calib3d/src/upnp.h b/modules/calib3d/src/upnp.h index 9a061bd..8d87c35 100644 --- a/modules/calib3d/src/upnp.h +++ b/modules/calib3d/src/upnp.h @@ -1,12 +1,57 @@ -#ifndef UPNP_H_ -#define UPNP_H_ +//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, Intel Corporation, all rights reserved. +// Copyright (C) 2013, OpenCV Foundation, 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*/ + +/****************************************************************************************\ +* Exhaustive Linearization for Robust Camera Pose and Focal Length Estimation. +* Contributed by Edgar Riba +\****************************************************************************************/ + +#ifndef OPENCV_CALIB3D_UPNP_H_ +#define OPENCV_CALIB3D_UPNP_H_ #include "precomp.hpp" #include "opencv2/core/core_c.h" #include -using namespace std; - class upnp { public: @@ -40,19 +85,19 @@ private: double reprojection_error(const double R[3][3], const double t[3]); void choose_control_points(); void compute_alphas(); - void fill_M(CvMat * M, const int row, const double * alphas, const double u, const double v); + void fill_M(cv::Mat * M, const int row, const double * alphas, const double u, const double v); void compute_ccs(const double * betas, const double * ut); void compute_pcs(void); void solve_for_sign(void); - void find_betas_and_focal_approx_1(const CvMat * Ut, const CvMat * Rho, double * betas, double * efs); - void find_betas_and_focal_approx_2(const CvMat * Ut, const CvMat * Rho, double * betas, double * efs); - void qr_solve(CvMat * A, CvMat * b, CvMat * X); + void find_betas_and_focal_approx_1(cv::Mat * Ut, cv::Mat * Rho, double * betas, double * efs); + void find_betas_and_focal_approx_2(cv::Mat * Ut, cv::Mat * Rho, double * betas, double * efs); + void qr_solve(cv::Mat * A, cv::Mat * b, cv::Mat * X); cv::Mat compute_constraint_distance_2param_6eq_2unk_f_unk(const cv::Mat& M1); cv::Mat compute_constraint_distance_3param_6eq_6unk_f_unk(const cv::Mat& M1, const cv::Mat& M2); - void generate_all_possible_solutions_for_f_unk(const double betas_[5], double solutions[18][3]); + void generate_all_possible_solutions_for_f_unk(const double betas[5], double solutions[18][3]); double sign(const double v); double dot(const double * v1, const double * v2); @@ -63,9 +108,9 @@ private: void compute_rho(double * rho); void compute_L_6x12(const double * ut, double * l_6x12); - void gauss_newton(const CvMat * L_6x12, const CvMat * Rho, double current_betas[4], double * efs); + void gauss_newton(const cv::Mat * L_6x12, const cv::Mat * Rho, double current_betas[4], double * efs); void compute_A_and_b_gauss_newton(const double * l_6x12, const double * rho, - const double cb[4], CvMat * A, CvMat * b, double const f); + const double cb[4], cv::Mat * A, cv::Mat * b, double const f); double compute_R_and_t(const double * ut, const double * betas, double R[3][3], double t[3]); @@ -86,4 +131,4 @@ private: double * A1, * A2; }; -#endif // UPNP_H_ +#endif // OPENCV_CALIB3D_UPNP_H_