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//M*//////////////////////////////////////////////////////////////////////////////////////
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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// By downloading, copying, installing or using the software you agree to this license.
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// If you do not agree to this license, do not download, install,
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// copy or use the software.
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// For Open Source Computer Vision Library
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// Copyright (C) 2000, Intel Corporation, all rights reserved.
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// Copyright (C) 2013, OpenCV Foundation, all rights reserved.
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// Third party copyrights are property of their respective owners.
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// Redistribution and use in source and binary forms, with or without modification,
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// are permitted provided that the following conditions are met:
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// * Redistribution's of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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// * Redistribution's in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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// * The name of the copyright holders may not be used to endorse or promote products
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// derived from this software without specific prior written permission.
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// This software is provided by the copyright holders and contributors "as is" and
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// warranties of merchantability and fitness for a particular purpose are disclaimed.
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/****************************************************************************************\
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* Exhaustive Linearization for Robust Camera Pose and Focal Length Estimation.
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* Contributed by Edgar Riba
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\****************************************************************************************/
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#include "precomp.hpp"
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upnp::upnp(const Mat& cameraMatrix, const Mat& opoints, const Mat& ipoints)
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if (cameraMatrix.depth() == CV_32F)
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init_camera_parameters<float>(cameraMatrix);
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init_camera_parameters<double>(cameraMatrix);
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number_of_correspondences = std::max(opoints.checkVector(3, CV_32F), opoints.checkVector(3, CV_64F));
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pws.resize(3 * number_of_correspondences);
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us.resize(2 * number_of_correspondences);
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if (opoints.depth() == ipoints.depth())
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if (opoints.depth() == CV_32F)
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init_points<Point3f,Point2f>(opoints, ipoints);
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init_points<Point3d,Point2d>(opoints, ipoints);
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else if (opoints.depth() == CV_32F)
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init_points<Point3f,Point2d>(opoints, ipoints);
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init_points<Point3d,Point2f>(opoints, ipoints);
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alphas.resize(4 * number_of_correspondences);
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pcs.resize(3 * number_of_correspondences);
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double upnp::compute_pose(Mat& R, Mat& t)
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choose_control_points();
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Mat * M = new Mat(2 * number_of_correspondences, 12, CV_64F);
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for(int i = 0; i < number_of_correspondences; i++)
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fill_M(M, 2 * i, &alphas[0] + 4 * i, us[2 * i], us[2 * i + 1]);
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double mtm[12 * 12], d[12], ut[12 * 12], vt[12 * 12];
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Mat MtM = Mat(12, 12, CV_64F, mtm);
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Mat D = Mat(12, 1, CV_64F, d);
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Mat Ut = Mat(12, 12, CV_64F, ut);
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Mat Vt = Mat(12, 12, CV_64F, vt);
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SVD::compute(MtM, D, Ut, Vt, SVD::MODIFY_A | SVD::FULL_UV);
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Mat(Ut.t()).copyTo(Ut);
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double l_6x12[6 * 12], rho[6];
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Mat L_6x12 = Mat(6, 12, CV_64F, l_6x12);
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Mat Rho = Mat(6, 1, CV_64F, rho);
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compute_L_6x12(ut, l_6x12);
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double Betas[3][4], Efs[3][1], rep_errors[3];
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double Rs[3][3][3], ts[3][3];
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find_betas_and_focal_approx_1(&Ut, &Rho, Betas[1], Efs[1]);
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gauss_newton(&L_6x12, &Rho, Betas[1], Efs[1]);
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rep_errors[1] = compute_R_and_t(ut, Betas[1], Rs[1], ts[1]);
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find_betas_and_focal_approx_2(&Ut, &Rho, Betas[2], Efs[2]);
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gauss_newton(&L_6x12, &Rho, Betas[2], Efs[2]);
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rep_errors[2] = compute_R_and_t(ut, Betas[2], Rs[2], ts[2]);
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if (rep_errors[2] < rep_errors[1]) N = 2;
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Mat(3, 1, CV_64F, ts[N]).copyTo(t);
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Mat(3, 3, CV_64F, Rs[N]).copyTo(R);
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void upnp::copy_R_and_t(const double R_src[3][3], const double t_src[3],
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double R_dst[3][3], double t_dst[3])
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for(int i = 0; i < 3; i++) {
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for(int j = 0; j < 3; j++)
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R_dst[i][j] = R_src[i][j];
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void upnp::estimate_R_and_t(double R[3][3], double t[3])
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double pc0[3], pw0[3];
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pc0[0] = pc0[1] = pc0[2] = 0.0;
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pw0[0] = pw0[1] = pw0[2] = 0.0;
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for(int i = 0; i < number_of_correspondences; i++) {
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const double * pc = &pcs[3 * i];
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const double * pw = &pws[3 * i];
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for(int j = 0; j < 3; j++) {
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for(int j = 0; j < 3; j++) {
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pc0[j] /= number_of_correspondences;
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pw0[j] /= number_of_correspondences;
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double abt[3 * 3], abt_d[3], abt_u[3 * 3], abt_v[3 * 3];
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Mat ABt = Mat(3, 3, CV_64F, abt);
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Mat ABt_D = Mat(3, 1, CV_64F, abt_d);
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Mat ABt_U = Mat(3, 3, CV_64F, abt_u);
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Mat ABt_V = Mat(3, 3, CV_64F, abt_v);
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for(int i = 0; i < number_of_correspondences; i++) {
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double * pc = &pcs[3 * i];
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double * pw = &pws[3 * i];
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for(int j = 0; j < 3; j++) {
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abt[3 * j ] += (pc[j] - pc0[j]) * (pw[0] - pw0[0]);
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abt[3 * j + 1] += (pc[j] - pc0[j]) * (pw[1] - pw0[1]);
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abt[3 * j + 2] += (pc[j] - pc0[j]) * (pw[2] - pw0[2]);
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SVD::compute(ABt, ABt_D, ABt_U, ABt_V, SVD::MODIFY_A);
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Mat(ABt_V.t()).copyTo(ABt_V);
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for(int i = 0; i < 3; i++)
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for(int j = 0; j < 3; j++)
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R[i][j] = dot(abt_u + 3 * i, abt_v + 3 * j);
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R[0][0] * R[1][1] * R[2][2] + R[0][1] * R[1][2] * R[2][0] + R[0][2] * R[1][0] * R[2][1] -
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R[0][2] * R[1][1] * R[2][0] - R[0][1] * R[1][0] * R[2][2] - R[0][0] * R[1][2] * R[2][1];
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t[0] = pc0[0] - dot(R[0], pw0);
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t[1] = pc0[1] - dot(R[1], pw0);
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t[2] = pc0[2] - dot(R[2], pw0);
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void upnp::solve_for_sign(void)
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for(int i = 0; i < 4; i++)
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for(int j = 0; j < 3; j++)
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ccs[i][j] = -ccs[i][j];
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for(int i = 0; i < number_of_correspondences; i++) {
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pcs[3 * i ] = -pcs[3 * i];
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pcs[3 * i + 1] = -pcs[3 * i + 1];
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pcs[3 * i + 2] = -pcs[3 * i + 2];
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double upnp::compute_R_and_t(const double * ut, const double * betas,
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double R[3][3], double t[3])
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compute_ccs(betas, ut);
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estimate_R_and_t(R, t);
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return reprojection_error(R, t);
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double upnp::reprojection_error(const double R[3][3], const double t[3])
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for(int i = 0; i < number_of_correspondences; i++) {
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double * pw = &pws[3 * i];
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double Xc = dot(R[0], pw) + t[0];
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double Yc = dot(R[1], pw) + t[1];
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double inv_Zc = 1.0 / (dot(R[2], pw) + t[2]);
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double ue = uc + fu * Xc * inv_Zc;
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double ve = vc + fv * Yc * inv_Zc;
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double u = us[2 * i], v = us[2 * i + 1];
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sum2 += sqrt( (u - ue) * (u - ue) + (v - ve) * (v - ve) );
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return sum2 / number_of_correspondences;
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void upnp::choose_control_points()
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for (int i = 0; i < 4; ++i)
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cws[i][0] = cws[i][1] = cws[i][2] = 0.0;
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cws[0][0] = cws[1][1] = cws[2][2] = 1.0;
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void upnp::compute_alphas()
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Mat CC = Mat(4, 3, CV_64F, &cws);
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Mat PC = Mat(number_of_correspondences, 3, CV_64F, &pws[0]);
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Mat ALPHAS = Mat(number_of_correspondences, 4, CV_64F, &alphas[0]);
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Mat CC_ = CC.clone().t();
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Mat PC_ = PC.clone().t();
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Mat row14 = Mat::ones(1, 4, CV_64F);
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Mat row1n = Mat::ones(1, number_of_correspondences, CV_64F);
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CC_.push_back(row14);
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PC_.push_back(row1n);
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ALPHAS = Mat( CC_.inv() * PC_ ).t();
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void upnp::fill_M(Mat * M, const int row, const double * as, const double u, const double v)
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double * M1 = M->ptr<double>(row);
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double * M2 = M1 + 12;
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for(int i = 0; i < 4; i++) {
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M1[3 * i ] = as[i] * fu;
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M1[3 * i + 2] = as[i] * (uc - u);
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M2[3 * i + 1] = as[i] * fv;
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M2[3 * i + 2] = as[i] * (vc - v);
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void upnp::compute_ccs(const double * betas, const double * ut)
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for(int i = 0; i < 4; ++i)
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ccs[i][0] = ccs[i][1] = ccs[i][2] = 0.0;
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for(int i = 0; i < N; ++i) {
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const double * v = ut + 12 * (9 + i);
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for(int j = 0; j < 4; ++j)
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for(int k = 0; k < 3; ++k)
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ccs[j][k] += betas[i] * v[3 * j + k];
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for (int i = 0; i < 4; ++i) ccs[i][2] *= fu;
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void upnp::compute_pcs(void)
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for(int i = 0; i < number_of_correspondences; i++) {
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double * a = &alphas[0] + 4 * i;
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double * pc = &pcs[0] + 3 * i;
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for(int j = 0; j < 3; j++)
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pc[j] = a[0] * ccs[0][j] + a[1] * ccs[1][j] + a[2] * ccs[2][j] + a[3] * ccs[3][j];
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void upnp::find_betas_and_focal_approx_1(Mat * Ut, Mat * Rho, double * betas, double * efs)
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Mat Kmf1 = Mat(12, 1, CV_64F, Ut->ptr<double>(11));
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Mat dsq = Mat(6, 1, CV_64F, Rho->ptr<double>(0));
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Mat D = compute_constraint_distance_2param_6eq_2unk_f_unk( Kmf1 );
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Mat x = Mat(2, 1, CV_64F);
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betas[0] = sqrt( abs( x.at<double>(0) ) );
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betas[1] = betas[2] = betas[3] = 0.0;
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efs[0] = sqrt( abs( x.at<double>(1) ) ) / betas[0];
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void upnp::find_betas_and_focal_approx_2(Mat * Ut, Mat * Rho, double * betas, double * efs)
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Mat U = Mat(12, 12, CV_64F, u);
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Mat Kmf1 = Mat(12, 1, CV_64F, Ut->ptr<double>(10));
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Mat Kmf2 = Mat(12, 1, CV_64F, Ut->ptr<double>(11));
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Mat dsq = Mat(6, 1, CV_64F, Rho->ptr<double>(0));
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Mat D = compute_constraint_distance_3param_6eq_6unk_f_unk( Kmf1, Kmf2 );
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Mat X = Mat(6, 1, CV_64F, x);
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solve(A, b, X, DECOMP_QR);
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double solutions[18][3];
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generate_all_possible_solutions_for_f_unk(x, solutions);
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// find solution with minimum reprojection error
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double min_error = std::numeric_limits<double>::max();
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for (int i = 0; i < 18; ++i) {
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betas[3] = solutions[i][0];
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betas[2] = solutions[i][1];
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betas[1] = betas[0] = 0.0;
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fu = fv = solutions[i][2];
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double Rs[3][3], ts[3];
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double error_i = compute_R_and_t( u, betas, Rs, ts);
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if( error_i < min_error)
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betas[0] = solutions[min_sol][0];
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betas[1] = solutions[min_sol][1];
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betas[2] = betas[3] = 0.0;
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efs[0] = solutions[min_sol][2];
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Mat upnp::compute_constraint_distance_2param_6eq_2unk_f_unk(const Mat& M1)
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Mat P = Mat(6, 2, CV_64F);
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for (int i = 1; i < 13; ++i) m[i] = *M1.ptr<double>(i-1);
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double t1 = pow( m[4], 2 );
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double t4 = pow( m[1], 2 );
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double t5 = pow( m[5], 2 );
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double t8 = pow( m[2], 2 );
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double t10 = pow( m[6], 2 );
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double t13 = pow( m[3], 2 );
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double t15 = pow( m[7], 2 );
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double t18 = pow( m[8], 2 );
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double t22 = pow( m[9], 2 );
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double t26 = pow( m[10], 2 );
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double t29 = pow( m[11], 2 );
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double t33 = pow( m[12], 2 );
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*P.ptr<double>(0,0) = t1 - 2 * m[4] * m[1] + t4 + t5 - 2 * m[5] * m[2] + t8;
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*P.ptr<double>(0,1) = t10 - 2 * m[6] * m[3] + t13;
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*P.ptr<double>(1,0) = t15 - 2 * m[7] * m[1] + t4 + t18 - 2 * m[8] * m[2] + t8;
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*P.ptr<double>(1,1) = t22 - 2 * m[9] * m[3] + t13;
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*P.ptr<double>(2,0) = t26 - 2 * m[10] * m[1] + t4 + t29 - 2 * m[11] * m[2] + t8;
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*P.ptr<double>(2,1) = t33 - 2 * m[12] * m[3] + t13;
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*P.ptr<double>(3,0) = t15 - 2 * m[7] * m[4] + t1 + t18 - 2 * m[8] * m[5] + t5;
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*P.ptr<double>(3,1) = t22 - 2 * m[9] * m[6] + t10;
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*P.ptr<double>(4,0) = t26 - 2 * m[10] * m[4] + t1 + t29 - 2 * m[11] * m[5] + t5;
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*P.ptr<double>(4,1) = t33 - 2 * m[12] * m[6] + t10;
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*P.ptr<double>(5,0) = t26 - 2 * m[10] * m[7] + t15 + t29 - 2 * m[11] * m[8] + t18;
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*P.ptr<double>(5,1) = t33 - 2 * m[12] * m[9] + t22;
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Mat upnp::compute_constraint_distance_3param_6eq_6unk_f_unk(const Mat& M1, const Mat& M2)
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Mat P = Mat(6, 6, CV_64F);
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for (int i = 1; i < 13; ++i)
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m[1][i] = *M1.ptr<double>(i-1);
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m[2][i] = *M2.ptr<double>(i-1);
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double t1 = pow( m[1][4], 2 );
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double t2 = pow( m[1][1], 2 );
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double t7 = pow( m[1][5], 2 );
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double t8 = pow( m[1][2], 2 );
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double t11 = m[1][1] * m[2][1];
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double t12 = m[1][5] * m[2][5];
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double t15 = m[1][2] * m[2][2];
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double t16 = m[1][4] * m[2][4];
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double t19 = pow( m[2][4], 2 );
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double t22 = pow( m[2][2], 2 );
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double t23 = pow( m[2][1], 2 );
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double t24 = pow( m[2][5], 2 );
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double t28 = pow( m[1][6], 2 );
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double t29 = pow( m[1][3], 2 );
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double t34 = pow( m[1][3], 2 );
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double t36 = m[1][6] * m[2][6];
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double t40 = pow( m[2][6], 2 );
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double t41 = pow( m[2][3], 2 );
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double t47 = pow( m[1][7], 2 );
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double t48 = pow( m[1][8], 2 );
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double t52 = m[1][7] * m[2][7];
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double t55 = m[1][8] * m[2][8];
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double t59 = pow( m[2][8], 2 );
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double t62 = pow( m[2][7], 2 );
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double t64 = pow( m[1][9], 2 );
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double t68 = m[1][9] * m[2][9];
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double t74 = pow( m[2][9], 2 );
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double t78 = pow( m[1][10], 2 );
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double t79 = pow( m[1][11], 2 );
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double t84 = m[1][10] * m[2][10];
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double t87 = m[1][11] * m[2][11];
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double t90 = pow( m[2][10], 2 );
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double t95 = pow( m[2][11], 2 );
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double t99 = pow( m[1][12], 2 );
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double t101 = m[1][12] * m[2][12];
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double t105 = pow( m[2][12], 2 );
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*P.ptr<double>(0,0) = t1 + t2 - 2 * m[1][4] * m[1][1] - 2 * m[1][5] * m[1][2] + t7 + t8;
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*P.ptr<double>(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];
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*P.ptr<double>(0,2) = t19 - 2 * m[2][4] * m[2][1] + t22 + t23 + t24 - 2 * m[2][5] * m[2][2];
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*P.ptr<double>(0,3) = t28 + t29 - 2 * m[1][6] * m[1][3];
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*P.ptr<double>(0,4) = -2 * m[2][6] * m[1][3] + 2 * t34 - 2 * m[1][6] * m[2][3] + 2 * t36;
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*P.ptr<double>(0,5) = -2 * m[2][6] * m[2][3] + t40 + t41;
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*P.ptr<double>(1,0) = t8 - 2 * m[1][8] * m[1][2] - 2 * m[1][7] * m[1][1] + t47 + t48 + t2;
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*P.ptr<double>(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;
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*P.ptr<double>(1,2) = -2 * m[2][8] * m[2][2] + t22 + t23 + t59 - 2 * m[2][7] * m[2][1] + t62;
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*P.ptr<double>(1,3) = t29 + t64 - 2 * m[1][9] * m[1][3];
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*P.ptr<double>(1,4) = 2 * t34 + 2 * t68 - 2 * m[2][9] * m[1][3] - 2 * m[1][9] * m[2][3];
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*P.ptr<double>(1,5) = -2 * m[2][9] * m[2][3] + t74 + t41;
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*P.ptr<double>(2,0) = -2 * m[1][11] * m[1][2] + t2 + t8 + t78 + t79 - 2 * m[1][10] * m[1][1];
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*P.ptr<double>(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;
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*P.ptr<double>(2,2) = t90 + t22 - 2 * m[2][10] * m[2][1] + t23 - 2 * m[2][11] * m[2][2] + t95;
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*P.ptr<double>(2,3) = -2 * m[1][12] * m[1][3] + t99 + t29;
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*P.ptr<double>(2,4) = 2 * t34 + 2 * t101 - 2 * m[2][12] * m[1][3] - 2 * m[1][12] * m[2][3];
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*P.ptr<double>(2,5) = t41 + t105 - 2 * m[2][12] * m[2][3];
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*P.ptr<double>(3,0) = t48 + t1 - 2 * m[1][8] * m[1][5] + t7 - 2 * m[1][7] * m[1][4] + t47;
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*P.ptr<double>(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;
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*P.ptr<double>(3,2) = t24 - 2 * m[2][8] * m[2][5] + t19 - 2 * m[2][7] * m[2][4] + t62 + t59;
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*P.ptr<double>(3,3) = -2 * m[1][9] * m[1][6] + t64 + t28;
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*P.ptr<double>(3,4) = 2 * t68 + 2 * t36 - 2 * m[2][9] * m[1][6] - 2 * m[1][9] * m[2][6];
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*P.ptr<double>(3,5) = t40 + t74 - 2 * m[2][9] * m[2][6];
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*P.ptr<double>(4,0) = t1 - 2 * m[1][10] * m[1][4] + t7 + t78 + t79 - 2 * m[1][11] * m[1][5];
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*P.ptr<double>(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;
517
*P.ptr<double>(4,2) = t19 + t24 - 2 * m[2][10] * m[2][4] - 2 * m[2][11] * m[2][5] + t95 + t90;
518
*P.ptr<double>(4,3) = t28 - 2 * m[1][12] * m[1][6] + t99;
519
*P.ptr<double>(4,4) = 2 * t101 + 2 * t36 - 2 * m[2][12] * m[1][6] - 2 * m[1][12] * m[2][6];
520
*P.ptr<double>(4,5) = t105 - 2 * m[2][12] * m[2][6] + t40;
522
*P.ptr<double>(5,0) = -2 * m[1][10] * m[1][7] + t47 + t48 + t78 + t79 - 2 * m[1][11] * m[1][8];
523
*P.ptr<double>(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];
524
*P.ptr<double>(5,2) = -2 * m[2][10] * m[2][7] - 2 * m[2][11] * m[2][8] + t62 + t59 + t90 + t95;
525
*P.ptr<double>(5,3) = t64 - 2 * m[1][12] * m[1][9] + t99;
526
*P.ptr<double>(5,4) = 2 * t68 - 2 * m[2][12] * m[1][9] - 2 * m[1][12] * m[2][9] + 2 * t101;
527
*P.ptr<double>(5,5) = t105 - 2 * m[2][12] * m[2][9] + t74;
532
void upnp::generate_all_possible_solutions_for_f_unk(const double betas[5], double solutions[18][3])
534
int matrix_to_resolve[18][9] = {
535
{ 2, 0, 0, 1, 1, 0, 2, 0, 2 }, { 2, 0, 0, 1, 1, 0, 1, 1, 2 },
536
{ 2, 0, 0, 1, 1, 0, 0, 2, 2 }, { 2, 0, 0, 0, 2, 0, 2, 0, 2 },
537
{ 2, 0, 0, 0, 2, 0, 1, 1, 2 }, { 2, 0, 0, 0, 2, 0, 0, 2, 2 },
538
{ 2, 0, 0, 2, 0, 2, 1, 1, 2 }, { 2, 0, 0, 2, 0, 2, 0, 2, 2 },
539
{ 2, 0, 0, 1, 1, 2, 0, 2, 2 }, { 1, 1, 0, 0, 2, 0, 2, 0, 2 },
540
{ 1, 1, 0, 0, 2, 0, 1, 1, 2 }, { 1, 1, 0, 2, 0, 2, 0, 2, 2 },
541
{ 1, 1, 0, 2, 0, 2, 1, 1, 2 }, { 1, 1, 0, 2, 0, 2, 0, 2, 2 },
542
{ 1, 1, 0, 1, 1, 2, 0, 2, 2 }, { 0, 2, 0, 2, 0, 2, 1, 1, 2 },
543
{ 0, 2, 0, 2, 0, 2, 0, 2, 2 }, { 0, 2, 0, 1, 1, 2, 0, 2, 2 }
546
int combination[18][3] = {
547
{ 1, 2, 4 }, { 1, 2, 5 }, { 1, 2, 6 }, { 1, 3, 4 },
548
{ 1, 3, 5 }, { 1, 3, 6 }, { 1, 4, 5 }, { 1, 4, 6 },
549
{ 1, 5, 6 }, { 2, 3, 4 }, { 2, 3, 5 }, { 2, 3, 6 },
550
{ 2, 4, 5 }, { 2, 4, 6 }, { 2, 5, 6 }, { 3, 4, 5 },
551
{ 3, 4, 6 }, { 3, 5, 6 }
554
for (int i = 0; i < 18; ++i) {
555
double matrix[9], independent_term[3];
556
Mat M = Mat(3, 3, CV_64F, matrix);
557
Mat I = Mat(3, 1, CV_64F, independent_term);
558
Mat S = Mat(1, 3, CV_64F);
560
for (int j = 0; j < 9; ++j) matrix[j] = (double)matrix_to_resolve[i][j];
562
independent_term[0] = log( abs( betas[ combination[i][0]-1 ] ) );
563
independent_term[1] = log( abs( betas[ combination[i][1]-1 ] ) );
564
independent_term[2] = log( abs( betas[ combination[i][2]-1 ] ) );
566
exp( Mat(M.inv() * I), S);
568
solutions[i][0] = S.at<double>(0);
569
solutions[i][1] = S.at<double>(1) * sign( betas[1] );
570
solutions[i][2] = abs( S.at<double>(2) );
574
void upnp::gauss_newton(const Mat * L_6x12, const Mat * Rho, double betas[4], double * f)
576
const int iterations_number = 50;
578
double a[6*4], b[6], x[4];
579
Mat * A = new Mat(6, 4, CV_64F, a);
580
Mat * B = new Mat(6, 1, CV_64F, b);
581
Mat * X = new Mat(4, 1, CV_64F, x);
583
for(int k = 0; k < iterations_number; k++)
585
compute_A_and_b_gauss_newton(L_6x12->ptr<double>(0), Rho->ptr<double>(0), betas, A, B, f[0]);
587
for(int i = 0; i < 3; i++)
592
if (f[0] < 0) f[0] = -f[0];
606
void upnp::compute_A_and_b_gauss_newton(const double * l_6x12, const double * rho,
607
const double betas[4], Mat * A, Mat * b, double const f)
610
for(int i = 0; i < 6; i++) {
611
const double * rowL = l_6x12 + i * 12;
612
double * rowA = A->ptr<double>(i);
614
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] );
615
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] );
616
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] );
617
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] ) ;
619
*b->ptr<double>(i) = rho[i] -
621
rowL[0] * betas[0] * betas[0] +
622
rowL[1] * betas[0] * betas[1] +
623
rowL[2] * betas[0] * betas[2] +
624
rowL[3] * betas[1] * betas[1] +
625
rowL[4] * betas[1] * betas[2] +
626
rowL[5] * betas[2] * betas[2] +
627
f*f * rowL[6] * betas[0] * betas[0] +
628
f*f * rowL[7] * betas[0] * betas[1] +
629
f*f * rowL[8] * betas[0] * betas[2] +
630
f*f * rowL[9] * betas[1] * betas[1] +
631
f*f * rowL[10] * betas[1] * betas[2] +
632
f*f * rowL[11] * betas[2] * betas[2]
637
void upnp::compute_L_6x12(const double * ut, double * l_6x12)
647
for(int i = 0; i < 3; i++) {
649
for(int j = 0; j < 6; j++) {
650
dv[i][j][0] = v[i][3 * a ] - v[i][3 * b];
651
dv[i][j][1] = v[i][3 * a + 1] - v[i][3 * b + 1];
652
dv[i][j][2] = v[i][3 * a + 2] - v[i][3 * b + 2];
662
for(int i = 0; i < 6; i++) {
663
double * row = l_6x12 + 12 * i;
665
row[0] = dotXY(dv[0][i], dv[0][i]);
666
row[1] = 2.0f * dotXY(dv[0][i], dv[1][i]);
667
row[2] = dotXY(dv[1][i], dv[1][i]);
668
row[3] = 2.0f * dotXY(dv[0][i], dv[2][i]);
669
row[4] = 2.0f * dotXY(dv[1][i], dv[2][i]);
670
row[5] = dotXY(dv[2][i], dv[2][i]);
672
row[6] = dotZ(dv[0][i], dv[0][i]);
673
row[7] = 2.0f * dotZ(dv[0][i], dv[1][i]);
674
row[8] = 2.0f * dotZ(dv[0][i], dv[2][i]);
675
row[9] = dotZ(dv[1][i], dv[1][i]);
676
row[10] = 2.0f * dotZ(dv[1][i], dv[2][i]);
677
row[11] = dotZ(dv[2][i], dv[2][i]);
681
void upnp::compute_rho(double * rho)
683
rho[0] = dist2(cws[0], cws[1]);
684
rho[1] = dist2(cws[0], cws[2]);
685
rho[2] = dist2(cws[0], cws[3]);
686
rho[3] = dist2(cws[1], cws[2]);
687
rho[4] = dist2(cws[1], cws[3]);
688
rho[5] = dist2(cws[2], cws[3]);
691
double upnp::dist2(const double * p1, const double * p2)
694
(p1[0] - p2[0]) * (p1[0] - p2[0]) +
695
(p1[1] - p2[1]) * (p1[1] - p2[1]) +
696
(p1[2] - p2[2]) * (p1[2] - p2[2]);
699
double upnp::dot(const double * v1, const double * v2)
701
return v1[0] * v2[0] + v1[1] * v2[1] + v1[2] * v2[2];
704
double upnp::dotXY(const double * v1, const double * v2)
706
return v1[0] * v2[0] + v1[1] * v2[1];
709
double upnp::dotZ(const double * v1, const double * v2)
711
return v1[2] * v2[2];
714
double upnp::sign(const double v)
716
return ( v < 0.0 ) ? -1.0 : ( v > 0.0 ) ? 1.0 : 0.0;
719
void upnp::qr_solve(Mat * A, Mat * b, Mat * X)
721
const int nr = A->rows;
722
const int nc = A->cols;
724
if (max_nr != 0 && max_nr < nr)
736
double * pA = A->ptr<double>(0), * ppAkk = pA;
737
for(int k = 0; k < nc; k++)
739
double * ppAik1 = ppAkk, eta = fabs(*ppAik1);
740
for(int i = k + 1; i < nr; i++)
742
double elt = fabs(*ppAik1);
743
if (eta < elt) eta = elt;
749
//cerr << "God damnit, A is singular, this shouldn't happen." << endl;
754
double * ppAik2 = ppAkk, sum2 = 0.0, inv_eta = 1. / eta;
755
for(int i = k; i < nr; i++)
758
sum2 += *ppAik2 * *ppAik2;
761
double sigma = sqrt(sum2);
765
A1[k] = sigma * *ppAkk;
766
A2[k] = -eta * sigma;
767
for(int j = k + 1; j < nc; j++)
769
double * ppAik = ppAkk, sum = 0;
770
for(int i = k; i < nr; i++)
772
sum += *ppAik * ppAik[j - k];
775
double tau = sum / A1[k];
777
for(int i = k; i < nr; i++)
779
ppAik[j - k] -= tau * *ppAik;
788
double * ppAjj = pA, * pb = b->ptr<double>(0);
789
for(int j = 0; j < nc; j++)
791
double * ppAij = ppAjj, tau = 0;
792
for(int i = j; i < nr; i++)
794
tau += *ppAij * pb[i];
799
for(int i = j; i < nr; i++)
801
pb[i] -= tau * *ppAij;
808
double * pX = X->ptr<double>(0);
809
pX[nc - 1] = pb[nc - 1] / A2[nc - 1];
810
for(int i = nc - 2; i >= 0; i--)
812
double * ppAij = pA + i * nc + (i + 1), sum = 0;
814
for(int j = i + 1; j < nc; j++)
816
sum += *ppAij * pX[j];
819
pX[i] = (pb[i] - sum) / A2[i];