/* * 3calibration.cpp -- Calibrate 3 cameras in a horizontal line together. */ #include "opencv2/calib3d.hpp" #include "opencv2/imgproc.hpp" #include "opencv2/imgcodecs.hpp" #include "opencv2/highgui.hpp" #include "opencv2/core/utility.hpp" #include #include #include using namespace cv; using namespace std; enum { DETECTION = 0, CAPTURING = 1, CALIBRATED = 2 }; static void help() { printf( "\nThis is a camera calibration sample that calibrates 3 horizontally placed cameras together.\n" "Usage: 3calibration\n" " -w= # the number of inner corners per one of board dimension\n" " -h= # the number of inner corners per another board dimension\n" " [-s=] # square size in some user-defined units (1 by default)\n" " [-o=] # the output filename for intrinsic [and extrinsic] parameters\n" " [-zt] # assume zero tangential distortion\n" " [-a=] # fix aspect ratio (fx/fy)\n" " [-p] # fix the principal point at the center\n" " [input_data] # input data - text file with a list of the images of the board\n" "\n" ); } static void calcChessboardCorners(Size boardSize, float squareSize, vector& corners) { corners.resize(0); for( int i = 0; i < boardSize.height; i++ ) for( int j = 0; j < boardSize.width; j++ ) corners.push_back(Point3f(float(j*squareSize), float(i*squareSize), 0)); } static bool run3Calibration(vector > imagePoints1, vector > imagePoints2, vector > imagePoints3, Size imageSize, Size boardSize, float squareSize, float aspectRatio, int flags, Mat& cameraMatrix1, Mat& distCoeffs1, Mat& cameraMatrix2, Mat& distCoeffs2, Mat& cameraMatrix3, Mat& distCoeffs3, Mat& R12, Mat& T12, Mat& R13, Mat& T13) { int c, i; // step 1: calibrate each camera individually vector > objpt(1); vector > imgpt; calcChessboardCorners(boardSize, squareSize, objpt[0]); vector rvecs, tvecs; for( c = 1; c <= 3; c++ ) { const vector >& imgpt0 = c == 1 ? imagePoints1 : c == 2 ? imagePoints2 : imagePoints3; imgpt.clear(); int N = 0; for( i = 0; i < (int)imgpt0.size(); i++ ) if( !imgpt0[i].empty() ) { imgpt.push_back(imgpt0[i]); N += (int)imgpt0[i].size(); } if( imgpt.size() < 3 ) { printf("Error: not enough views for camera %d\n", c); return false; } objpt.resize(imgpt.size(),objpt[0]); Mat cameraMatrix = Mat::eye(3, 3, CV_64F); if( flags & CALIB_FIX_ASPECT_RATIO ) cameraMatrix.at(0,0) = aspectRatio; Mat distCoeffs = Mat::zeros(5, 1, CV_64F); double err = calibrateCamera(objpt, imgpt, imageSize, cameraMatrix, distCoeffs, rvecs, tvecs, flags|CALIB_FIX_K3/*|CALIB_FIX_K4|CALIB_FIX_K5|CALIB_FIX_K6*/); bool ok = checkRange(cameraMatrix) && checkRange(distCoeffs); if(!ok) { printf("Error: camera %d was not calibrated\n", c); return false; } printf("Camera %d calibration reprojection error = %g\n", c, sqrt(err/N)); if( c == 1 ) cameraMatrix1 = cameraMatrix, distCoeffs1 = distCoeffs; else if( c == 2 ) cameraMatrix2 = cameraMatrix, distCoeffs2 = distCoeffs; else cameraMatrix3 = cameraMatrix, distCoeffs3 = distCoeffs; } vector > imgpt_right; // step 2: calibrate (1,2) and (3,2) pairs for( c = 2; c <= 3; c++ ) { const vector >& imgpt0 = c == 2 ? imagePoints2 : imagePoints3; imgpt.clear(); imgpt_right.clear(); int N = 0; for( i = 0; i < (int)std::min(imagePoints1.size(), imgpt0.size()); i++ ) if( !imagePoints1.empty() && !imgpt0[i].empty() ) { imgpt.push_back(imagePoints1[i]); imgpt_right.push_back(imgpt0[i]); N += (int)imgpt0[i].size(); } if( imgpt.size() < 3 ) { printf("Error: not enough shared views for cameras 1 and %d\n", c); return false; } objpt.resize(imgpt.size(),objpt[0]); Mat cameraMatrix = c == 2 ? cameraMatrix2 : cameraMatrix3; Mat distCoeffs = c == 2 ? distCoeffs2 : distCoeffs3; Mat R, T, E, F; double err = stereoCalibrate(objpt, imgpt, imgpt_right, cameraMatrix1, distCoeffs1, cameraMatrix, distCoeffs, imageSize, R, T, E, F, CALIB_FIX_INTRINSIC, TermCriteria(TermCriteria::COUNT, 30, 0)); printf("Pair (1,%d) calibration reprojection error = %g\n", c, sqrt(err/(N*2))); if( c == 2 ) { cameraMatrix2 = cameraMatrix; distCoeffs2 = distCoeffs; R12 = R; T12 = T; } else { R13 = R; T13 = T; } } return true; } static bool readStringList( const string& filename, vector& l ) { l.resize(0); FileStorage fs(filename, FileStorage::READ); if( !fs.isOpened() ) return false; FileNode n = fs.getFirstTopLevelNode(); if( n.type() != FileNode::SEQ ) return false; FileNodeIterator it = n.begin(), it_end = n.end(); for( ; it != it_end; ++it ) l.push_back((string)*it); return true; } int main( int argc, char** argv ) { int i, k; int flags = 0; Size boardSize, imageSize; float squareSize, aspectRatio; string outputFilename; string inputFilename = ""; vector > imgpt[3]; vector imageList; cv::CommandLineParser parser(argc, argv, "{help ||}{w||}{h||}{s|1|}{o|out_camera_data.yml|}" "{zt||}{a|1|}{p||}{@input||}"); if (parser.has("help")) { help(); return 0; } boardSize.width = parser.get("w"); boardSize.height = parser.get("h"); squareSize = parser.get("s"); aspectRatio = parser.get("a"); if (parser.has("a")) flags |= CALIB_FIX_ASPECT_RATIO; if (parser.has("zt")) flags |= CALIB_ZERO_TANGENT_DIST; if (parser.has("p")) flags |= CALIB_FIX_PRINCIPAL_POINT; outputFilename = parser.get("o"); inputFilename = parser.get("@input"); if (!parser.check()) { help(); parser.printErrors(); return -1; } if (boardSize.width <= 0) return fprintf( stderr, "Invalid board width\n" ), -1; if (boardSize.height <= 0) return fprintf( stderr, "Invalid board height\n" ), -1; if (squareSize <= 0) return fprintf( stderr, "Invalid board square width\n" ), -1; if (aspectRatio <= 0) return printf("Invalid aspect ratio\n" ), -1; if( inputFilename.empty() || !readStringList(inputFilename, imageList) || imageList.size() == 0 || imageList.size() % 3 != 0 ) { printf("Error: the input image list is not specified, or can not be read, or the number of files is not divisible by 3\n"); return -1; } Mat view, viewGray; Mat cameraMatrix[3], distCoeffs[3], R[3], P[3], R12, T12; for( k = 0; k < 3; k++ ) { cameraMatrix[k] = Mat_::eye(3,3); cameraMatrix[k].at(0,0) = aspectRatio; cameraMatrix[k].at(1,1) = 1; distCoeffs[k] = Mat_::zeros(5,1); } Mat R13=Mat_::eye(3,3), T13=Mat_::zeros(3,1); FileStorage fs; namedWindow( "Image View", 0 ); for( k = 0; k < 3; k++ ) imgpt[k].resize(imageList.size()/3); for( i = 0; i < (int)(imageList.size()/3); i++ ) { for( k = 0; k < 3; k++ ) { int k1 = k == 0 ? 2 : k == 1 ? 0 : 1; printf("%s\n", imageList[i*3+k].c_str()); view = imread(imageList[i*3+k], 1); if(!view.empty()) { vector ptvec; imageSize = view.size(); cvtColor(view, viewGray, COLOR_BGR2GRAY); bool found = findChessboardCorners( view, boardSize, ptvec, CALIB_CB_ADAPTIVE_THRESH ); drawChessboardCorners( view, boardSize, Mat(ptvec), found ); if( found ) { imgpt[k1][i].resize(ptvec.size()); std::copy(ptvec.begin(), ptvec.end(), imgpt[k1][i].begin()); } //imshow("view", view); //int c = waitKey(0) & 255; //if( c == 27 || c == 'q' || c == 'Q' ) // return -1; } } } printf("Running calibration ...\n"); run3Calibration(imgpt[0], imgpt[1], imgpt[2], imageSize, boardSize, squareSize, aspectRatio, flags|CALIB_FIX_K4|CALIB_FIX_K5, cameraMatrix[0], distCoeffs[0], cameraMatrix[1], distCoeffs[1], cameraMatrix[2], distCoeffs[2], R12, T12, R13, T13); fs.open(outputFilename, FileStorage::WRITE); fs << "cameraMatrix1" << cameraMatrix[0]; fs << "cameraMatrix2" << cameraMatrix[1]; fs << "cameraMatrix3" << cameraMatrix[2]; fs << "distCoeffs1" << distCoeffs[0]; fs << "distCoeffs2" << distCoeffs[1]; fs << "distCoeffs3" << distCoeffs[2]; fs << "R12" << R12; fs << "T12" << T12; fs << "R13" << R13; fs << "T13" << T13; fs << "imageWidth" << imageSize.width; fs << "imageHeight" << imageSize.height; Mat Q; // step 3: find rectification transforms double ratio = rectify3Collinear(cameraMatrix[0], distCoeffs[0], cameraMatrix[1], distCoeffs[1], cameraMatrix[2], distCoeffs[2], imgpt[0], imgpt[2], imageSize, R12, T12, R13, T13, R[0], R[1], R[2], P[0], P[1], P[2], Q, -1., imageSize, 0, 0, CALIB_ZERO_DISPARITY); Mat map1[3], map2[3]; fs << "R1" << R[0]; fs << "R2" << R[1]; fs << "R3" << R[2]; fs << "P1" << P[0]; fs << "P2" << P[1]; fs << "P3" << P[2]; fs << "disparityRatio" << ratio; fs.release(); printf("Disparity ratio = %g\n", ratio); for( k = 0; k < 3; k++ ) initUndistortRectifyMap(cameraMatrix[k], distCoeffs[k], R[k], P[k], imageSize, CV_16SC2, map1[k], map2[k]); Mat canvas(imageSize.height, imageSize.width*3, CV_8UC3), small_canvas; destroyWindow("view"); canvas = Scalar::all(0); for( i = 0; i < (int)(imageList.size()/3); i++ ) { canvas = Scalar::all(0); for( k = 0; k < 3; k++ ) { int k1 = k == 0 ? 2 : k == 1 ? 0 : 1; int k2 = k == 0 ? 1 : k == 1 ? 0 : 2; view = imread(imageList[i*3+k], 1); if(view.empty()) continue; Mat rview = canvas.colRange(k2*imageSize.width, (k2+1)*imageSize.width); remap(view, rview, map1[k1], map2[k1], INTER_LINEAR); } printf("%s %s %s\n", imageList[i*3].c_str(), imageList[i*3+1].c_str(), imageList[i*3+2].c_str()); resize( canvas, small_canvas, Size(1500, 1500/3) ); for( k = 0; k < small_canvas.rows; k += 16 ) line(small_canvas, Point(0, k), Point(small_canvas.cols, k), Scalar(0,255,0), 1); imshow("rectified", small_canvas); char c = (char)waitKey(0); if( c == 27 || c == 'q' || c == 'Q' ) break; } return 0; }