WebSVN – seema-scanner – Diff – /src/SMCalibrationWorker.cpp

                                    const std::vector<cv::Point3f> Qobj,
                                    cv::Vec3f &axis, cv::Vec3f &point){
     assert(Qobj.size() == Qcam[0].size());
     // number of frames (points on each arch)
-    int l = Qcam.size();
+    auto l = Qcam.size();
     // number of points in each frame
     size_t mn = Qobj.size();
     // construct matrix for axis determination
                     cornerColor, 4, cv::LINE_AA);
+        }
+    }
+}
-void SMCalibrationWorker::cameraCalibrationCharuco(std::vector<SMCalibrationSet> calibrationData){
+static bool detectCheckerBoardCornersCharuco(const cv::Mat & frame,
+                                            const cv::Ptr<cv::aruco::Dictionary> dict,
+                                            const cv::Ptr<cv::aruco::CharucoBoard> board,
+                                            const cv::Ptr<cv::aruco::DetectorParameters> parameters,
+                                            cv::Mat& frameResult,
+                                            std::vector<cv::Point2f>& qc,
-    QSettings settings;
+                                            std::vector<int>& qci){
-    // Number of saddle points on calibration pattern
+    // Convert to grayscale
+    cv::Mat gray;
-    cv::Size checkerCount(cv::Size(settings.value("calibration/patternSizeX", 22).toInt(), settings.value("calibration/patternSizeY", 13).toInt()));
+    if(frame.channels() == 1)
-    const float checkerSize = settings.value("calibration/squareSize", 10.0).toFloat();
+        cv::cvtColor(frame, gray, CV_BayerBG2GRAY);
+    else
-    float markerLength = 0.8*checkerSize;
+        cv::cvtColor(frame, gray, CV_RGB2GRAY);
-    unsigned int nSets = calibrationData.size();
-    // 2D Points collected for OpenCV's calibration procedures
-    std::vector< std::vector<cv::Point2f> > qc0, qc1;
+    std::vector<std::vector<cv::Point2f>> mc;
-    std::vector< std::vector<cv::Point2f> > qc0Stereo, qc1Stereo;
+    std::vector<int> mi;
-    // 3D object points
+    cv::Mat grayBlurred;
-    std::vector< std::vector<cv::Point3f> > Q0, Q1, QStereo;
+    cv::GaussianBlur(gray, grayBlurred, cv::Size(0, 0), 3);
-    // Charuco board and dictionary
+    // Extract checker corners
+    cv::aruco::detectMarkers(grayBlurred, dict, mc, mi, parameters);
+    //std::vector<std::vector<cv::Point2f>> mc, rejecti;
+    //cv::aruco::refineDetectedMarkers(gray0, board, mc0, mi0, rejecti0);
+    //cv::Mat cci, cidsi;
-    cv::Ptr<cv::aruco::Dictionary> dict = cv::aruco::getPredefinedDictionary(cv::aruco::DICT_6X6_250);
+    cv::aruco::interpolateCornersCharuco(mc, mi, gray, board, qc, qci, cv::noArray(), cv::noArray(), 1);
+    bool success = (qc.size() >= 4);
+    if(success){
+        cv::cornerSubPix(gray, qc, cv::Size(6, 6), cv::Size(1, 1), cv::TermCriteria(CV_TERMCRIT_EPS + CV_TERMCRIT_ITER, 20, 0.0001));
+        // Draw colored chessboard
+        if(frame.channels() == 1)
+            cv::cvtColor(frame, frameResult, CV_BayerBG2RGB);
+        else
+            frameResult = frame.clone();
+        // Draw colored chessboard
+        drawDetectedMarkersCharuco(frameResult, mc, mi, cv::Scalar(0, 255, 0));
+        drawDetectedCornersCharuco(frameResult, qc, qci, cv::Scalar(0, 255, 0));
+    } else {
+        qc.clear();
+    }
+    return success;
-//    // The dictionary from the standalone Aruco library used to generate the original chessboards
-//    std::vector<uint64_t> ARUCO_MIP_36h12 = {0xd2b63a09dUL,0x6001134e5UL,0x1206fbe72UL,0xff8ad6cb4UL,0x85da9bc49UL,0xb461afe9cUL,0x6db51fe13UL,0x5248c541fUL,0x8f34503UL,0x8ea462eceUL,0xeac2be76dUL,0x1af615c44UL,0xb48a49f27UL,0x2e4e1283bUL,0x78b1f2fa8UL,0x27d34f57eUL,0x89222fff1UL,0x4c1669406UL,0xbf49b3511UL,0xdc191cd5dUL,0x11d7c3f85UL,0x16a130e35UL,0xe29f27effUL,0x428d8ae0cUL,0x90d548477UL,0x2319cbc93UL,0xc3b0c3dfcUL,0x424bccc9UL,0x2a081d630UL,0x762743d96UL,0xd0645bf19UL,0xf38d7fd60UL,0xc6cbf9a10UL,0x3c1be7c65UL,0x276f75e63UL,0x4490a3f63UL,0xda60acd52UL,0x3cc68df59UL,0xab46f9daeUL,0x88d533d78UL,0xb6d62ec21UL,0xb3c02b646UL,0x22e56d408UL,0xac5f5770aUL,0xaaa993f66UL,0x4caa07c8dUL,0x5c9b4f7b0UL,0xaa9ef0e05UL,0x705c5750UL,0xac81f545eUL,0x735b91e74UL,0x8cc35cee4UL,0xe44694d04UL,0xb5e121de0UL,0x261017d0fUL,0xf1d439eb5UL,0xa1a33ac96UL,0x174c62c02UL,0x1ee27f716UL,0x8b1c5ece9UL,0x6a05b0c6aUL,0xd0568dfcUL,0x192d25e5fUL,0x1adbeccc8UL,0xcfec87f00UL,0xd0b9dde7aUL,0x88dcef81eUL,0x445681cb9UL,0xdbb2ffc83UL,0xa48d96df1UL,0xb72cc2e7dUL,0xc295b53fUL,0xf49832704UL,0x9968edc29UL,0x9e4e1af85UL,0x8683e2d1bUL,0x810b45c04UL,0x6ac44bfe2UL,0x645346615UL,0x3990bd598UL,0x1c9ed0f6aUL,0xc26729d65UL,0x83993f795UL,0x3ac05ac5dUL,0x357adff3bUL,0xd5c05565UL,0x2f547ef44UL,0x86c115041UL,0x640fd9e5fUL,0xce08bbcf7UL,0x109bb343eUL,0xc21435c92UL,0x35b4dfce4UL,0x459752cf2UL,0xec915b82cUL,0x51881eed0UL,0x2dda7dc97UL,0x2e0142144UL,0x42e890f99UL,0x9a8856527UL,0x8e80d9d80UL,0x891cbcf34UL,0x25dd82410UL,0x239551d34UL,0x8fe8f0c70UL,0x94106a970UL,0x82609b40cUL,0xfc9caf36UL,0x688181d11UL,0x718613c08UL,0xf1ab7629UL,0xa357bfc18UL,0x4c03b7a46UL,0x204dedce6UL,0xad6300d37UL,0x84cc4cd09UL,0x42160e5c4UL,0x87d2adfa8UL,0x7850e7749UL,0x4e750fc7cUL,0xbf2e5dfdaUL,0xd88324da5UL,0x234b52f80UL,0x378204514UL,0xabdf2ad53UL,0x365e78ef9UL,0x49caa6ca2UL,0x3c39ddf3UL,0xc68c5385dUL,0x5bfcbbf67UL,0x623241e21UL,0xabc90d5ccUL,0x388c6fe85UL,0xda0e2d62dUL,0x10855dfe9UL,0x4d46efd6bUL,0x76ea12d61UL,0x9db377d3dUL,0xeed0efa71UL,0xe6ec3ae2fUL,0x441faee83UL,0xba19c8ff5UL,0x313035eabUL,0x6ce8f7625UL,0x880dab58dUL,0x8d3409e0dUL,0x2be92ee21UL,0xd60302c6cUL,0x469ffc724UL,0x87eebeed3UL,0x42587ef7aUL,0x7a8cc4e52UL,0x76a437650UL,0x999e41ef4UL,0x7d0969e42UL,0xc02baf46bUL,0x9259f3e47UL,0x2116a1dc0UL,0x9f2de4d84UL,0xeffac29UL,0x7b371ff8cUL,0x668339da9UL,0xd010aee3fUL,0x1cd00b4c0UL,0x95070fc3bUL,0xf84c9a770UL,0x38f863d76UL,0x3646ff045UL,0xce1b96412UL,0x7a5d45da8UL,0x14e00ef6cUL,0x5e95abfd8UL,0xb2e9cb729UL,0x36c47dd7UL,0xb8ee97c6bUL,0xe9e8f657UL,0xd4ad2ef1aUL,0x8811c7f32UL,0x47bde7c31UL,0x3adadfb64UL,0x6e5b28574UL,0x33e67cd91UL,0x2ab9fdd2dUL,0x8afa67f2bUL,0xe6a28fc5eUL,0x72049cdbdUL,0xae65dac12UL,0x1251a4526UL,0x1089ab841UL,0xe2f096ee0UL,0xb0caee573UL,0xfd6677e86UL,0x444b3f518UL,0xbe8b3a56aUL,0x680a75cfcUL,0xac02baea8UL,0x97d815e1cUL,0x1d4386e08UL,0x1a14f5b0eUL,0xe658a8d81UL,0xa3868efa7UL,0x3668a9673UL,0xe8fc53d85UL,0x2e2b7edd5UL,0x8b2470f13UL,0xf69795f32UL,0x4589ffc8eUL,0x2e2080c9cUL,0x64265f7dUL,0x3d714dd10UL,0x1692c6ef1UL,0x3e67f2f49UL,0x5041dad63UL,0x1a1503415UL,0x64c18c742UL,0xa72eec35UL,0x1f0f9dc60UL,0xa9559bc67UL,0xf32911d0dUL,0x21c0d4ffcUL,0xe01cef5b0UL,0x4e23a3520UL,0xaa4f04e49UL,0xe1c4fcc43UL,0x208e8f6e8UL,0x8486774a5UL,0x9e98c7558UL,0x2c59fb7dcUL,0x9446a4613UL,0x8292dcc2eUL,0x4d61631UL,0xd05527809UL,0xa0163852dUL,0x8f657f639UL,0xcca6c3e37UL,0xcb136bc7aUL,0xfc5a83e53UL,0x9aa44fc30UL,0xbdec1bd3cUL,0xe020b9f7cUL,0x4b8f35fb0UL,0xb8165f637UL,0x33dc88d69UL,0x10a2f7e4dUL,0xc8cb5ff53UL,0xde259ff6bUL,0x46d070dd4UL,0x32d3b9741UL,0x7075f1c04UL,0x4d58dbea0UL};
+}
-//    int tau_MIP_3612 = 12;
-//    // shuffle according to aruco_create_markermap code
+void SMCalibrationWorker::checkerboardDetectionCharuco(SMCalibrationSet calibrationSet){
-//    std::srand(0);
-//    std::random_shuffle(ARUCO_MIP_36h12.begin(),ARUCO_MIP_36h12.end());
-//    cv::Mat bytesList(250, 5, CV_8UC4);
-//    for(int i=0; i<250; i++){
+    QSettings settings;
-//        cv::Mat bits(6, 6, CV_8UC1);
-//        for(int b=0; b<36; b++){
-//            bits.at<char>(b) = getBit(ARUCO_MIP_36h12[i], b+1);
+    cv::Size checkerCount(cv::Size(settings.value("calibration/patternSizeX", 22).toInt(), settings.value("calibration/patternSizeY", 13).toInt()));
-//        }
-//        //std::cout << bits << std::endl;
-//        cv::Mat bytes = cv::aruco::Dictionary::getByteListFromBits(bits);
+    const float checkerSize = settings.value("calibration/squareSize", 10.0).toFloat();
-//        bytes.copyTo(bytesList.row(i));
+    float markerLength = 0.8f*checkerSize;
-//    }
-//    cv::Ptr<cv::aruco::Dictionary> dict = cv::makePtr<cv::aruco::Dictionary>(new cv::aruco::Dictionary(bytesList, 6, (tau_MIP_3612-1)/2));
-//    for(int i=0; i<250; i++){
-//        cv::Mat img;
-//        dict->drawMarker(i, 100, img, 1);
-//        cv::imwrite(QString("id%1.png").arg(i).toStdString(), img);
-//    }
+    // Charuco board and dictionary
+    cv::Ptr<cv::aruco::Dictionary> dict = cv::aruco::getPredefinedDictionary(cv::aruco::DICT_6X6_250);
     cv::Ptr<cv::aruco::CharucoBoard> board = cv::aruco::CharucoBoard::create(checkerCount.width+1, checkerCount.height+1, checkerSize, markerLength, dict);
-//    cv::Mat boardImg;
+    //    cv::Mat boardImg;
-//    board->draw(cv::Size((saddlePointCountX+1)*100, (saddlePointCountY+1)*100), boardImg, 0, 1);
+    //    board->draw(cv::Size((saddlePointCountX+1)*100, (saddlePointCountY+1)*100), boardImg, 0, 1);
-//    cv::Mat boardImgRes;
+    //    cv::Mat boardImgRes;
-//    cv::resize(boardImg, boardImgRes, cv::Size((saddlePointCountX+1)*10, (saddlePointCountY+1)*10), 0, 0, cv::INTER_NEAREST);
+    //    cv::resize(boardImg, boardImgRes, cv::Size((saddlePointCountX+1)*10, (saddlePointCountY+1)*10), 0, 0, cv::INTER_NEAREST);
-//    cv::imwrite("boardImg.png", boardImg);
+    //    cv::imwrite("boardImg.png", boardImg);
-//    cv::imwrite("boardImgRes.png", boardImgRes);
+    //    cv::imwrite("boardImgRes.png", boardImgRes);
     cv::Ptr<cv::aruco::DetectorParameters> parameters = cv::aruco::DetectorParameters::create();
-    parameters->adaptiveThreshWinSizeMin = 3;
+//    parameters->adaptiveThreshWinSizeMin = 3;
-    parameters->adaptiveThreshWinSizeMax = 153;
+//    parameters->adaptiveThreshWinSizeMax = 153;
-    parameters->adaptiveThreshWinSizeStep = 3;
+//    parameters->adaptiveThreshWinSizeStep = 5;
 //    parameters->adaptiveThreshConstant = 20;
 //    parameters->minMarkerPerimeterRate = 0.01;
     parameters->maxMarkerPerimeterRate = 5.0;
 //    parameters->minCornerDistanceRate = 0.10;
 //    parameters->perspectiveRemovePixelPerCell = 6;
 //    parameters->maxErroneousBitsInBorderRate = 0.8;
 //    parameters->minOtsuStdDev = 1;
 //    parameters->errorCorrectionRate = 0.1;
+    parameters->cornerRefinementWinSize = 10;
-    // Loop through calibration sets
-    for(unsigned int i=0; i<nSets; i++){
-        SMCalibrationSet calibrationSetI = calibrationData[i];
+    bool success0 = detectCheckerBoardCornersCharuco(calibrationSet.frame0, dict, board, parameters, calibrationSet.frame0Result, calibrationSet.qc0, calibrationSet.qc0id);
-        if(!calibrationSetI.selected)
-            continue;
-        // Camera 0
+    if(!success0){
-        std::vector<std::vector<cv::Point2f>> mc0, rejecti0;
-        std::vector<int> mi0;
-        cv::Mat gray0;
-        cv::cvtColor(calibrationSetI.frame0, gray0, CV_BayerBG2GRAY);
-        // Extract checker corners
-        cv::aruco::detectMarkers(gray0, dict, mc0, mi0, parameters);
+        emit logMessage(QString("Could not detect  Charuco corners on set %1 camera0").arg(calibrationSet.id));
-        cv::aruco::refineDetectedMarkers(gray0, board, mc0, mi0, rejecti0);
+        std::cerr << "Could not detect Charuco corners on set " << calibrationSet.id << " camera0" << std::endl;
+    }
-        cv::Mat cci0, cidsi0;
-        cv::aruco::interpolateCornersCharuco(mc0, mi0, gray0, board, cci0, cidsi0);
-        bool success0 = (cci0.rows >= 4);
+    bool success1 = detectCheckerBoardCornersCharuco(calibrationSet.frame1, dict, board, parameters, calibrationSet.frame1Result, calibrationSet.qc1, calibrationSet.qc1id);
-        if(success0){
+    if(!success1){
-            cv::Mat color0;
+        emit logMessage(QString("Could not detect Charuco corners on set %1 camera1").arg(calibrationSet.id));
-            cv::cvtColor(calibrationSetI.frame0, color0, CV_BayerBG2RGB);
+        std::cerr << "Could not detect Charuco corners on set " << calibrationSet.id << " camera1" << std::endl;
+    }
-            // Draw colored chessboard
-            drawDetectedMarkersCharuco(color0, mc0, mi0, cv::Scalar(0, 255, 0));
+    emit newCheckerboardResult(calibrationSet.id, calibrationSet);
-            drawDetectedCornersCharuco(color0, cci0, cidsi0, cv::Scalar(0, 255, 0));
-            calibrationSetI.frame0Result = color0;
-        } else {
-            std::cerr << "Could not detect Charuco in camera 0, id " << calibrationSetI.id << std::endl;
+}
+void SMCalibrationWorker::cameraCalibrationCharuco(std::vector<SMCalibrationSet> calibrationData){
-        // Camera 1
-        std::vector<std::vector<cv::Point2f>> mc1, rejecti1;
-        std::vector<int> mi1;
+    QSettings settings;
-        cv::Mat gray1;
+    // Number of saddle points on calibration pattern
+    cv::Size checkerCount(cv::Size(settings.value("calibration/patternSizeX", 22).toInt(), settings.value("calibration/patternSizeY", 13).toInt()));
-        cv::cvtColor(calibrationSetI.frame1, gray1, CV_BayerBG2GRAY);
+    const float checkerSize = settings.value("calibration/squareSize", 10.0).toFloat();
+    float markerLength = 0.8f*checkerSize;
-        // Extract checker corners
-        cv::aruco::detectMarkers(gray1, dict, mc1, mi1, parameters);
+    cv::Ptr<cv::aruco::Dictionary> dict = cv::aruco::getPredefinedDictionary(cv::aruco::DICT_6X6_250);
-        cv::aruco::refineDetectedMarkers(gray1, board, mc1, mi1, rejecti1);
+    cv::Ptr<cv::aruco::CharucoBoard> board = cv::aruco::CharucoBoard::create(checkerCount.width+1, checkerCount.height+1, checkerSize, markerLength, dict);
-        cv::Mat cci1, cidsi1;
+    auto nSets = calibrationData.size();
-        cv::aruco::interpolateCornersCharuco(mc1, mi1, gray1, board, cci1, cidsi1);
-        bool success1 = (cci1.rows >= 4);
+    // 2D Points collected for OpenCV's calibration procedures
-        if(success1){
-            cv::Mat color1;
+    std::vector< std::vector<cv::Point2f> > qc0, qc1;
-            cv::cvtColor(calibrationSetI.frame1, color1, CV_BayerBG2RGB);
+    std::vector< std::vector<cv::Point2f> > qc0Stereo, qc1Stereo;
-            // Draw colored chessboard
+    // 3D object points
-            drawDetectedMarkersCharuco(color1, mc1, mi1, cv::Scalar(0, 255, 0));
-            drawDetectedCornersCharuco(color1, cci1, cidsi1, cv::Scalar(0, 255, 0));
+    std::vector< std::vector<cv::Point3f> > Q0, Q1, QStereo;
-            calibrationSetI.frame1Result = color1;
+    // Loop through calibration sets
-        } else {
+    for(unsigned int i=0; i<nSets; i++){
-            std::cerr << "Could not detect Charuco in camera 1, id " << calibrationSetI.id << std::endl;
-        }
+        if(!calibrationData[i].selected)
+            continue;
+        bool success0 = !calibrationData[i].qc0.empty();
-        emit newCheckerboardResult(calibrationSetI.id, calibrationSetI);
+        bool success1 = !calibrationData[i].qc1.empty();
         if(success0){
-            std::vector<cv::Point2f> qc0i;
             std::vector<cv::Point3f> Q0i;
-            for(int j=0; j<cci0.rows; j++){
+            for(std::size_t j=0; j<calibrationData[i].qc0id.size(); j++){
-                qc0i.push_back(cci0.at<cv::Point2f>(j));
-                int id = cidsi0.at<int>(j);
+                int id = calibrationData[i].qc0id[j];
                 Q0i.push_back(board->chessboardCorners[id]);
+            }
-            qc0.push_back(qc0i);
+            qc0.push_back(calibrationData[i].qc0);
             Q0.push_back(Q0i);
+        }
         if(success1){
-            std::vector<cv::Point2f> qc1i;
             std::vector<cv::Point3f> Q1i;
-            for(int j=0; j<cci1.rows; j++){
+            for(std::size_t j=0; j<calibrationData[i].qc1id.size(); j++){
-                qc1i.push_back(cci1.at<cv::Point2f>(j));
-                int id = cidsi1.at<int>(j);
+                int id = calibrationData[i].qc1id[j];
                 Q1i.push_back(board->chessboardCorners[id]);
+            }
-            qc1.push_back(qc1i);
+            qc1.push_back(calibrationData[i].qc1);
             Q1.push_back(Q1i);
+        }
         if(success0 && success1){
             std::vector<cv::Point2f> qc0iStereo, qc1iStereo;
             std::vector<cv::Point3f> QiStereo;
             int j0 = 0;
             int j1 = 0;
-            while(j0<cci0.rows && j1<cci1.rows){
+            while(j0<calibrationData[i].qc0.size() && j1<calibrationData[i].qc1.size()){
-                int id0 = cidsi0.at<int>(j0);
+                int id0 = calibrationData[i].qc0id[j0];
-                int id1 = cidsi1.at<int>(j1);
+                int id1 = calibrationData[i].qc1id[j1];
                 if(id0 < id1)
                     j0++;
                 else if (id1 < id0)
                     j1++;
                 else{
                     assert(id0 == id1);
-                    qc0iStereo.push_back(cci0.at<cv::Point2f>(j0));
+                    qc0iStereo.push_back(calibrationData[i].qc0[j0]);
-                    qc1iStereo.push_back(cci1.at<cv::Point2f>(j1));
+                    qc1iStereo.push_back(calibrationData[i].qc1[j1]);
                     QiStereo.push_back(board->chessboardCorners[id0]);
                     j0++;
                     j1++;
+                }
     cal.frameWidth = calibrationData[0].frame0.cols;
     cal.frameHeight = calibrationData[0].frame0.rows;
     cv::Size frameSize(cal.frameWidth, cal.frameHeight);
     // determine only k1, k2 for lens distortion
-    int flags = cv::CALIB_FIX_ASPECT_RATIO + cv::CALIB_FIX_K2 + cv::CALIB_FIX_K3 + cv::CALIB_ZERO_TANGENT_DIST + cv::CALIB_FIX_PRINCIPAL_POINT;
+    int flags = cv::CALIB_FIX_ASPECT_RATIO + cv::CALIB_FIX_K3 + cv::CALIB_ZERO_TANGENT_DIST + cv::CALIB_FIX_PRINCIPAL_POINT;
     // Note: several of the output arguments below must be cv::Mat, otherwise segfault
     std::vector<cv::Mat> cam_rvecs0, cam_tvecs0;
     cal.cam0_error = cv::calibrateCamera(Q0, qc0, frameSize, cal.K0, cal.k0, cam_rvecs0, cam_tvecs0, cal.cam0_intrinsic_std, cal.cam0_extrinsic_std, cal.cam0_errors_per_view, flags,
                                          cv::TermCriteria(cv::TermCriteria::COUNT+cv::TermCriteria::EPS, 100, DBL_EPSILON));
+}
 void SMCalibrationWorker::rotationStageCalibration(std::vector<SMCalibrationSet> calibrationData){
-    int nSets = calibrationData.size();
+    auto nSets = calibrationData.size();
     std::vector< std::vector<cv::Point2f> > qc0Stereo, qc1Stereo;
+    std::vector<cv::Point3f> Qi;
+    QSettings settings;
+    // Generate world object coordinates [mm]
+    const cv::Size checkerCount(cv::Size(settings.value("calibration/patternSizeX", 22).toInt(),settings.value("calibration/patternSizeY", 13).toInt()));
+    const float checkerSize = settings.value("calibration/squareSize", 10.0).toFloat();
+    if(settings.value("calibration/method").toString() == "Charuco"){
+        // Find id's which were detected in all images
+        std::vector<int> ids;
+        for(int i=0; i<calibrationData.size(); i++){
+            if(!calibrationData[i].selected)
+                continue;
+            if(ids.empty()){
+                ids = calibrationData[i].qc0id;
+            }
+            std::vector<int> idsi0;
+            std::set_intersection(ids.begin(), ids.end(), calibrationData[i].qc0id.begin(), calibrationData[i].qc0id.end(), std::back_inserter(idsi0));
+            ids = idsi0;
+            std::vector<int> idsi1;
+            std::set_intersection(ids.begin(), ids.end(), calibrationData[i].qc1id.begin(), calibrationData[i].qc1id.end(), std::back_inserter(idsi1));
+            ids = idsi1;
+        }
+        if(ids.size() < 2){
+            std::cerr << "Not enough feature points present in all images for rotation axis determination!" << std::endl;
+            emit logMessage("Not enough feature points present in all images for rotation axis determination! Deselect some calibration images.");
+        }
+        for(int i=0; i<calibrationData.size(); i++){
+            if(!calibrationData[i].selected)
+                continue;
+            std::vector<cv::Point2f> qc0StereoI, qc1StereoI;
+            for(int j=0; j<ids.size(); j++){
+                ptrdiff_t idx0 = std::find(calibrationData[i].qc0id.begin(), calibrationData[i].qc0id.end(), ids[j]) - calibrationData[i].qc0id.begin();
+                ptrdiff_t idx1 = std::find(calibrationData[i].qc1id.begin(), calibrationData[i].qc1id.end(), ids[j]) - calibrationData[i].qc1id.begin();
+                qc0StereoI.push_back(calibrationData[i].qc0[idx0]);
+                qc1StereoI.push_back(calibrationData[i].qc1[idx1]);
+            }
+            qc0Stereo.push_back(qc0StereoI);
+            qc1Stereo.push_back(qc1StereoI);
+        }
+        float markerLength = 0.8f*checkerSize;
+        cv::Ptr<cv::aruco::Dictionary> dict = cv::aruco::getPredefinedDictionary(cv::aruco::DICT_6X6_250);
+        cv::Ptr<cv::aruco::CharucoBoard> board = cv::aruco::CharucoBoard::create(checkerCount.width+1, checkerCount.height+1, checkerSize, markerLength, dict);
+        for(int j=0; j<ids.size(); j++){
+            Qi.push_back(board->chessboardCorners[ids[j]]);
+        }
+    } else {
+        // Normal checkerboard with all corners
-    for(int i=0; i<nSets; i++){
+        for(auto i=0; i<nSets; i++){
-        if(!calibrationData[i].selected)
+            if(!calibrationData[i].selected)
-            continue;
+                continue;
-        // Note: avoiding push_back has only minor theoretical value
-        if(!calibrationData[i].qc0.empty() && !calibrationData[i].qc1.empty()){
+            if(!calibrationData[i].qc0.empty() && !calibrationData[i].qc1.empty()){
-            qc0Stereo.push_back(calibrationData[i].qc0);
+                qc0Stereo.push_back(calibrationData[i].qc0);
-            qc1Stereo.push_back(calibrationData[i].qc1);
+                qc1Stereo.push_back(calibrationData[i].qc1);
+            }
+        }
-    QSettings settings;
+        Qi = generateWorldCoords(checkerCount, checkerSize);
+    }
     SMCalibrationParameters cal = settings.value("calibration/parameters").value<SMCalibrationParameters>();
-    if(qc0Stereo.size() > 2){
+    if(qc0Stereo.size() <= 2){
-        // Generate world object coordinates [mm]
+        std::cerr << "Not enough images for rotation axis determination!" << std::endl;
-        const cv::Size checkerCount(cv::Size(settings.value("calibration/patternSizeX", 22).toInt(),settings.value("calibration/patternSizeY", 13).toInt()));
+        emit logMessage("Not enough images for rotation axis determination!");
-        const float checkerSize = settings.value("calibration/squareSize", 10.0).toFloat();
+       cal.Rr = cv::Matx33f::eye();
-        std::vector<cv::Point3f> Qi = generateWorldCoords(checkerCount, checkerSize);
+       cal.Tr = cv::Vec3f(0,0,0);
+       cal.rot_axis_error = -1;
+       emit done();
+       return;
+    }
-        // Direct rotation axis calibration //
+    // Direct rotation axis calibration //
-        // full camera matrices
+    // full camera matrices
-        cv::Matx34f P0 = cv::Matx34f::eye();
+    cv::Matx34f P0 = cv::Matx34f::eye();
-        cv::Mat RT1(3, 4, CV_32F);
+    cv::Mat RT1(3, 4, CV_32F);
-        cv::Mat(ez).copyTo(RrMat.col(2));
+    cv::Mat(ez).copyTo(RrMat.col(2));
-        cal.Rr = cv::Matx33f(RrMat).t();
+    cal.Rr = cv::Matx33f(RrMat).t();
-        cal.Tr = -cv::Matx33f(RrMat).t()*point;
+    cal.Tr = -cv::Matx33f(RrMat).t()*point;
-        cal.rot_axis_error = rot_axis_error;
+    cal.rot_axis_error = rot_axis_error;
-    } else {
-        cal.Rr = cv::Matx33f::eye();
-        cal.Tr = cv::Vec3f(0,0,0);
-        cal.rot_axis_error = -1;
-        return;
-    }
     // Print to log
     std::stringstream out;
     out << "## Rotation Stage Calibration ##" << std::endl
         << "No. images used for calibration: " << qc0Stereo.size() << std::endl;

Subversion Repositories seema-scanner

(root)/src/SMCalibrationWorker.cpp – Rev 249 → 250