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#include "SMCalibrationWorker.h"
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#include "SMCalibrationParameters.h"
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#include "cvtools.h"
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#include <QSettings>
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void SMCalibrationWorker::performCalibration(std::vector<SMCalibrationSet> calibrationData){
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QSettings settings;
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// Number of saddle points on calibration pattern
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int checkerCountX = settings.value("calibration/checkerCountX", 22).toInt();
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int checkerCountY = settings.value("calibration/checkerCountY", 13).toInt();
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cv::Size checkerCount(checkerCountX, checkerCountY);
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int nSets = calibrationData.size();
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std::vector< std::vector<cv::Point2f> > qc0, qc1;
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std::vector<float> angles;
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// Loop through calibration sets
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for(int i=0; i<nSets; i++){
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SMCalibrationSet SMCalibrationSetI = calibrationData[i];
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if(!SMCalibrationSetI.checked)
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continue;
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// Camera 0
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std::vector<cv::Point2f> qci0;
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// Convert bayer to grayscale
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cv::Mat gray;
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// SMCalibrationSetI.frame0.convertTo(temp, CV_8UC1, 1.0/256.0);
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cv::cvtColor(SMCalibrationSetI.frame0, gray, CV_BayerBG2GRAY);
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// Extract checker corners
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bool success0 = cv::findChessboardCorners(gray, checkerCount, qci0, cv::CALIB_CB_ADAPTIVE_THRESH + cv::CALIB_CB_FAST_CHECK);
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if(success0){
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cv::cornerSubPix(gray, qci0, cv::Size(6, 6), cv::Size(1, 1),cv::TermCriteria(CV_TERMCRIT_EPS + CV_TERMCRIT_ITER, 20, 0.0001));
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// Draw colored chessboard
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cv::Mat color;
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cv::cvtColor(SMCalibrationSetI.frame0, color, CV_BayerBG2RGB);
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cvtools::drawChessboardCorners(color, checkerCount, qci0, success0, 10);
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SMCalibrationSetI.frame0Result = color;
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}
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emit newFrameResult(i, 0, success0, SMCalibrationSetI.frame0Result);
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// Camera 1
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std::vector<cv::Point2f> qci1;
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// Convert bayer to grayscale
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// SMCalibrationSetI.frame1.convertTo(temp, CV_8UC1, 1.0/256.0);
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cv::cvtColor(SMCalibrationSetI.frame1, gray, CV_BayerBG2GRAY);
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// Extract checker corners
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bool success1 = cv::findChessboardCorners(gray, checkerCount, qci1, cv::CALIB_CB_ADAPTIVE_THRESH + cv::CALIB_CB_FAST_CHECK);
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if(success1){
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cv::cornerSubPix(gray, qci1, cv::Size(6, 6), cv::Size(1, 1),cv::TermCriteria(CV_TERMCRIT_EPS + CV_TERMCRIT_ITER, 20, 0.0001));
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// Draw colored chessboard
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cv::Mat color;
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cv::cvtColor(SMCalibrationSetI.frame1, color, CV_BayerBG2RGB);
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cvtools::drawChessboardCorners(color, checkerCount, qci1, success1, 10);
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SMCalibrationSetI.frame1Result = color;
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}
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emit newFrameResult(i, 1, success1, SMCalibrationSetI.frame1Result);
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SMCalibrationSetI.success = success0 && success1;
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// Add to whole set
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if(SMCalibrationSetI.success){
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qc0.push_back(qci0);
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qc1.push_back(qci1);
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angles.push_back(SMCalibrationSetI.rotationAngle);
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}
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// Show progress
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emit newSetProcessed(i);
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}
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int nValidSets = qc0.size();
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if(nValidSets < 2){
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std::cerr << "Not enough valid calibration sequences!" << std::endl;
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emit done();
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return;
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}
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// Generate world object coordinates [mm]
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float checkerSize = settings.value("calibration/checkerSize", 15.0).toFloat(); // width and height of one field in mm
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std::vector<cv::Point3f> Qi;
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for (int h=0; h<checkerCount.height; h++)
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for (int w=0; w<checkerCount.width; w++)
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Qi.push_back(cv::Point3f(checkerSize * w, checkerSize* h, 0.0));
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std::vector< std::vector<cv::Point3f> > Q;
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for(int i=0; i<qc0.size(); i++)
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Q.push_back(Qi);
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// calibrate the cameras
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SMCalibrationParameters cal;
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cal.frameWidth = calibrationData[0].frame0.cols;
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cal.frameHeight = calibrationData[0].frame0.rows;
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cv::Size frameSize(cal.frameWidth, cal.frameHeight);
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// determine only k1, k2 for lens distortion
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int flags = cv::CALIB_FIX_K3 + cv::CALIB_ZERO_TANGENT_DIST + cv::CALIB_FIX_PRINCIPAL_POINT + cv::CALIB_FIX_ASPECT_RATIO;
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// Note: several of the output arguments below must be cv::Mat, otherwise segfault
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std::vector<cv::Mat> cam_rvecs0, cam_tvecs0;
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cal.cam0_error = cv::calibrateCamera(Q, qc0, frameSize, cal.K0, cal.k0, cam_rvecs0, cam_tvecs0, flags,
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cv::TermCriteria(cv::TermCriteria::COUNT+cv::TermCriteria::EPS, 100, DBL_EPSILON));
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//std::cout << cal.k0 << std::endl;
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// // refine extrinsics for camera 0
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// for(int i=0; i<Q.size(); i++)
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// cv::solvePnPRansac(Q[i], qc0[i], cal.K0, cal.k0, cam_rvecs0[i], cam_tvecs0[i], true, 100, 0.05, 100, cv::noArray(), CV_ITERATIVE);
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std::vector<cv::Mat> cam_rvecs1, cam_tvecs1;
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cal.cam1_error = cv::calibrateCamera(Q, qc1, frameSize, cal.K1, cal.k1, cam_rvecs1, cam_tvecs1, flags,
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cv::TermCriteria(cv::TermCriteria::COUNT+cv::TermCriteria::EPS, 100, DBL_EPSILON));
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//std::cout << cal.k1 << std::endl;
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// stereo calibration
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int flags_stereo = cv::CALIB_FIX_INTRINSIC;// + cv::CALIB_FIX_K3 + cv::CALIB_ZERO_TANGENT_DIST + cv::CALIB_FIX_PRINCIPAL_POINT + cv::CALIB_FIX_ASPECT_RATIO;
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cv::Mat E, F, R1, T1;
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cal.stereo_error = cv::stereoCalibrate(Q, qc0, qc1, cal.K0, cal.k0, cal.K1, cal.k1,
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frameSize, R1, T1, E, F,
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cv::TermCriteria(cv::TermCriteria::COUNT + cv::TermCriteria::EPS, 200, DBL_EPSILON),
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flags_stereo);
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cal.R1 = R1;
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cal.T1 = T1;
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cal.E = E;
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cal.F = F;
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// // hand-eye calibration
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// std::vector<cv::Matx33f> Rc(nValidSets - 1); // rotations/translations of the checkerboard in camera 0 reference frame
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// std::vector<cv::Vec3f> Tc(nValidSets - 1);
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// std::vector<cv::Matx33f> Rr(nValidSets - 1); // in rotation stage reference frame
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// std::vector<cv::Vec3f> Tr(nValidSets - 1);
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// for(int i=0; i<nValidSets-1; i++){
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// // relative transformations in camera
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// cv::Mat cRw1, cRw2;
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// cv::Rodrigues(cam_rvecs0[i], cRw1);
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// cv::Rodrigues(cam_rvecs0[i+1], cRw2);
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// cv::Mat cTw1 = cam_tvecs0[i];
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// cv::Mat cTw2 = cam_tvecs0[i+1];
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// cv::Mat w1Rc = cRw1.t();
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// cv::Mat w1Tc = -cRw1.t()*cTw1;
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// Rc[i] = cv::Mat(cRw2*w1Rc);
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// Tc[i] = cv::Mat(cRw2*w1Tc+cTw2);
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// // relative transformations in rotation stage
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// // we define the rotation axis to be in origo, pointing in positive y direction
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// float angleRadians = (angles[i+1]-angles[i])/180.0*M_PI;
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// cv::Vec3f rot_rvec(0.0, -angleRadians, 0.0);
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// cv::Mat Rri;
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// cv::Rodrigues(rot_rvec, Rri);
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// Rr[i] = Rri;
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// Tr[i] = 0.0;
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//// std::cout << i << std::endl;
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//// std::cout << "cTw1" << cTw1 << std::endl;
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//// std::cout << "cTw2" << cTw2 << std::endl;
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//// std::cout << "w2Rc" << w2Rc << std::endl;
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//// std::cout << "w2Tc" << w2Tc << std::endl;
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//// std::cout << "w2Rc" << w2Rc << std::endl;
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//// std::cout << "w2Tc" << w2Tc << std::endl;
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//// cv::Mat Rci;
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//// cv::Rodrigues(Rc[i], Rci);
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//// std::cout << "Rci" << Rci << std::endl;
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//// std::cout << "Tc[i]" << Tc[i] << std::endl;
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//// std::cout << "rot_rvec" << rot_rvec << std::endl;
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//// std::cout << "Tr[i]" << Tr[i] << std::endl;
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//// std::cout << std::endl;
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// }
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// // determine the transformation from rotation stage to camera 0
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// cvtools::handEyeCalibrationTsai(Rc, Tc, Rr, Tr, cal.Rr, cal.Tr);
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// for(int i=0; i<nValidSets-1; i++){
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// std::cout << i << std::endl;
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// cv::Mat Rci;
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// cv::Rodrigues(Rc[i], Rci);
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// std::cout << "Rc[i]" << Rci << std::endl;
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// std::cout << "Tc[i]" << Tc[i] << std::endl;
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// cv::Mat Rri;
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// cv::Rodrigues(Rr[i], Rri);
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// std::cout << "Rr[i]" << Rri << std::endl;
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// std::cout << "Tr[i]" << Tr[i] << std::endl;
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// cv::Mat Rcr = cv::Mat(cal.Rr)*cv::Mat(Rc[i])*cv::Mat(cal.Rr.t());
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// cv::Rodrigues(Rcr, Rcr);
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// cv::Mat Tcr = -cv::Mat(cal.Rr)*cv::Mat(Rc[i])*cv::Mat(cal.Rr.t())*cv::Mat(cal.Tr) + cv::Mat(cal.Rr)*cv::Mat(Tc[i]) + cv::Mat(cal.Tr);
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// std::cout << "Rcr[i]" << Rcr << std::endl;
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// std::cout << "Tcr[i]" << Tcr << std::endl;
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// std::cout << std::endl;
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// }
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// Direct rotation axis calibration //
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// full camera matrices
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cv::Matx34f P0 = cv::Matx34f::eye();
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cv::Mat RT1(3, 4, CV_32F);
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cv::Mat(cal.R1).copyTo(RT1(cv::Range(0, 3), cv::Range(0, 3)));
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cv::Mat(cal.T1).copyTo(RT1(cv::Range(0, 3), cv::Range(3, 4)));
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cv::Matx34f P1 = cv::Matx34f(RT1);
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// calibration points in camera 0 frame
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std::vector< std::vector<cv::Point3f> > Qcam;
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for(int i=0; i<nValidSets; i++){
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std::vector<cv::Point2f> qc0i, qc1i;
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cv::undistortPoints(qc0[i], qc0i, cal.K0, cal.k0);
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cv::undistortPoints(qc1[i], qc1i, cal.K1, cal.k1);
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// qc0i = qc0[i];
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// qc1i = qc1[i];
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cv::Mat Qhom, Qcami;
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cv::triangulatePoints(P0, P1, qc0i, qc1i, Qhom);
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cvtools::convertMatFromHomogeneous(Qhom, Qcami);
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std::vector<cv::Point3f> QcamiPoints;
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cvtools::matToPoints3f(Qcami, QcamiPoints);
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Qcam.push_back(QcamiPoints);
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}
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cv::Vec3f axis, point;
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cvtools::rotationAxisCalibration(Qcam, Qi, axis, point);
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// construct transformation matrix
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cv::Vec3f ex = axis.cross(cv::Vec3f(0,0,1.0));
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ex = cv::normalize(ex);
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cv::Vec3f ez = ex.cross(axis);
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ez = cv::normalize(ez);
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cv::Mat RrMat(3, 3, CV_32F);
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cv::Mat(ex).copyTo(RrMat.col(0));
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cv::Mat(axis).copyTo(RrMat.col(1));
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cv::Mat(ez).copyTo(RrMat.col(2));
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cal.Rr = cv::Matx33f(RrMat).t();
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cal.Tr = -cv::Matx33f(RrMat).t()*point;
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// Print to std::cout
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cal.print();
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// save to (reentrant qsettings object)
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settings.setValue("calibration/parameters", QVariant::fromValue(cal));
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emit done();
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}
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