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360 lines
12 KiB
360 lines
12 KiB
/* |
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* 3calibration.cpp -- Calibrate 3 cameras in a horizontal line together. |
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*/ |
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#include "opencv2/calib3d.hpp" |
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#include "opencv2/imgproc.hpp" |
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#include "opencv2/imgcodecs.hpp" |
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#include "opencv2/highgui.hpp" |
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#include "opencv2/core/utility.hpp" |
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#include <stdio.h> |
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#include <string.h> |
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#include <time.h> |
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using namespace cv; |
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using namespace std; |
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enum { DETECTION = 0, CAPTURING = 1, CALIBRATED = 2 }; |
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static void help(char** argv) |
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{ |
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printf( "\nThis is a camera calibration sample that calibrates 3 horizontally placed cameras together.\n" |
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"Usage: %s\n" |
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" -w=<board_width> # the number of inner corners per one of board dimension\n" |
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" -h=<board_height> # the number of inner corners per another board dimension\n" |
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" [-s=<squareSize>] # square size in some user-defined units (1 by default)\n" |
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" [-o=<out_camera_params>] # the output filename for intrinsic [and extrinsic] parameters\n" |
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" [-zt] # assume zero tangential distortion\n" |
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" [-a=<aspectRatio>] # fix aspect ratio (fx/fy)\n" |
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" [-p] # fix the principal point at the center\n" |
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" [input_data] # input data - text file with a list of the images of the board\n" |
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"\n", argv[0] ); |
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} |
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static void calcChessboardCorners(Size boardSize, float squareSize, vector<Point3f>& corners) |
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{ |
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corners.resize(0); |
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for( int i = 0; i < boardSize.height; i++ ) |
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for( int j = 0; j < boardSize.width; j++ ) |
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corners.push_back(Point3f(float(j*squareSize), |
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float(i*squareSize), 0)); |
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} |
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static bool run3Calibration(vector<vector<Point2f> > imagePoints1, |
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vector<vector<Point2f> > imagePoints2, |
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vector<vector<Point2f> > imagePoints3, |
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Size imageSize, Size boardSize, |
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float squareSize, float aspectRatio, |
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int flags, |
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Mat& cameraMatrix1, Mat& distCoeffs1, |
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Mat& cameraMatrix2, Mat& distCoeffs2, |
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Mat& cameraMatrix3, Mat& distCoeffs3, |
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Mat& R12, Mat& T12, Mat& R13, Mat& T13) |
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{ |
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int c, i; |
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// step 1: calibrate each camera individually |
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vector<vector<Point3f> > objpt(1); |
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vector<vector<Point2f> > imgpt; |
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calcChessboardCorners(boardSize, squareSize, objpt[0]); |
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vector<Mat> rvecs, tvecs; |
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for( c = 1; c <= 3; c++ ) |
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{ |
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const vector<vector<Point2f> >& imgpt0 = c == 1 ? imagePoints1 : c == 2 ? imagePoints2 : imagePoints3; |
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imgpt.clear(); |
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int N = 0; |
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for( i = 0; i < (int)imgpt0.size(); i++ ) |
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if( !imgpt0[i].empty() ) |
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{ |
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imgpt.push_back(imgpt0[i]); |
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N += (int)imgpt0[i].size(); |
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} |
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if( imgpt.size() < 3 ) |
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{ |
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printf("Error: not enough views for camera %d\n", c); |
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return false; |
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} |
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objpt.resize(imgpt.size(),objpt[0]); |
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Mat cameraMatrix = Mat::eye(3, 3, CV_64F); |
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if( flags & CALIB_FIX_ASPECT_RATIO ) |
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cameraMatrix.at<double>(0,0) = aspectRatio; |
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Mat distCoeffs = Mat::zeros(5, 1, CV_64F); |
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double err = calibrateCamera(objpt, imgpt, imageSize, cameraMatrix, |
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distCoeffs, rvecs, tvecs, |
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flags|CALIB_FIX_K3/*|CALIB_FIX_K4|CALIB_FIX_K5|CALIB_FIX_K6*/); |
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bool ok = checkRange(cameraMatrix) && checkRange(distCoeffs); |
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if(!ok) |
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{ |
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printf("Error: camera %d was not calibrated\n", c); |
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return false; |
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} |
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printf("Camera %d calibration reprojection error = %g\n", c, sqrt(err/N)); |
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if( c == 1 ) |
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cameraMatrix1 = cameraMatrix, distCoeffs1 = distCoeffs; |
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else if( c == 2 ) |
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cameraMatrix2 = cameraMatrix, distCoeffs2 = distCoeffs; |
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else |
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cameraMatrix3 = cameraMatrix, distCoeffs3 = distCoeffs; |
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} |
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vector<vector<Point2f> > imgpt_right; |
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// step 2: calibrate (1,2) and (3,2) pairs |
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for( c = 2; c <= 3; c++ ) |
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{ |
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const vector<vector<Point2f> >& imgpt0 = c == 2 ? imagePoints2 : imagePoints3; |
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imgpt.clear(); |
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imgpt_right.clear(); |
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int N = 0; |
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for( i = 0; i < (int)std::min(imagePoints1.size(), imgpt0.size()); i++ ) |
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if( !imagePoints1.empty() && !imgpt0[i].empty() ) |
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{ |
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imgpt.push_back(imagePoints1[i]); |
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imgpt_right.push_back(imgpt0[i]); |
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N += (int)imgpt0[i].size(); |
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} |
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if( imgpt.size() < 3 ) |
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{ |
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printf("Error: not enough shared views for cameras 1 and %d\n", c); |
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return false; |
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} |
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objpt.resize(imgpt.size(),objpt[0]); |
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Mat cameraMatrix = c == 2 ? cameraMatrix2 : cameraMatrix3; |
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Mat distCoeffs = c == 2 ? distCoeffs2 : distCoeffs3; |
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Mat R, T, E, F; |
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double err = stereoCalibrate(objpt, imgpt, imgpt_right, cameraMatrix1, distCoeffs1, |
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cameraMatrix, distCoeffs, |
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imageSize, R, T, E, F, |
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CALIB_FIX_INTRINSIC, |
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TermCriteria(TermCriteria::COUNT, 30, 0)); |
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printf("Pair (1,%d) calibration reprojection error = %g\n", c, sqrt(err/(N*2))); |
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if( c == 2 ) |
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{ |
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cameraMatrix2 = cameraMatrix; |
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distCoeffs2 = distCoeffs; |
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R12 = R; T12 = T; |
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} |
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else |
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{ |
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R13 = R; T13 = T; |
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} |
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} |
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return true; |
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} |
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static bool readStringList( const string& filename, vector<string>& l ) |
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{ |
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l.resize(0); |
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FileStorage fs(filename, FileStorage::READ); |
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if( !fs.isOpened() ) |
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return false; |
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FileNode n = fs.getFirstTopLevelNode(); |
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if( n.type() != FileNode::SEQ ) |
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return false; |
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FileNodeIterator it = n.begin(), it_end = n.end(); |
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for( ; it != it_end; ++it ) |
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l.push_back((string)*it); |
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return true; |
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} |
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int main( int argc, char** argv ) |
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{ |
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int i, k; |
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int flags = 0; |
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Size boardSize, imageSize; |
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float squareSize, aspectRatio; |
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string outputFilename; |
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string inputFilename = ""; |
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vector<vector<Point2f> > imgpt[3]; |
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vector<string> imageList; |
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cv::CommandLineParser parser(argc, argv, |
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"{help ||}{w||}{h||}{s|1|}{o|out_camera_data.yml|}" |
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"{zt||}{a|1|}{p||}{@input||}"); |
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if (parser.has("help")) |
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{ |
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help(argv); |
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return 0; |
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} |
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boardSize.width = parser.get<int>("w"); |
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boardSize.height = parser.get<int>("h"); |
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squareSize = parser.get<float>("s"); |
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aspectRatio = parser.get<float>("a"); |
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if (parser.has("a")) |
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flags |= CALIB_FIX_ASPECT_RATIO; |
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if (parser.has("zt")) |
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flags |= CALIB_ZERO_TANGENT_DIST; |
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if (parser.has("p")) |
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flags |= CALIB_FIX_PRINCIPAL_POINT; |
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outputFilename = parser.get<string>("o"); |
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inputFilename = parser.get<string>("@input"); |
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if (!parser.check()) |
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{ |
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help(argv); |
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parser.printErrors(); |
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return -1; |
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} |
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if (boardSize.width <= 0) |
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return fprintf( stderr, "Invalid board width\n" ), -1; |
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if (boardSize.height <= 0) |
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return fprintf( stderr, "Invalid board height\n" ), -1; |
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if (squareSize <= 0) |
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return fprintf( stderr, "Invalid board square width\n" ), -1; |
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if (aspectRatio <= 0) |
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return printf("Invalid aspect ratio\n" ), -1; |
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if( inputFilename.empty() || |
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!readStringList(inputFilename, imageList) || |
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imageList.size() == 0 || imageList.size() % 3 != 0 ) |
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{ |
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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"); |
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return -1; |
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} |
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Mat view, viewGray; |
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Mat cameraMatrix[3], distCoeffs[3], R[3], P[3], R12, T12; |
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for( k = 0; k < 3; k++ ) |
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{ |
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cameraMatrix[k] = Mat_<double>::eye(3,3); |
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cameraMatrix[k].at<double>(0,0) = aspectRatio; |
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cameraMatrix[k].at<double>(1,1) = 1; |
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distCoeffs[k] = Mat_<double>::zeros(5,1); |
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} |
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Mat R13=Mat_<double>::eye(3,3), T13=Mat_<double>::zeros(3,1); |
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FileStorage fs; |
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namedWindow( "Image View", 0 ); |
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for( k = 0; k < 3; k++ ) |
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imgpt[k].resize(imageList.size()/3); |
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for( i = 0; i < (int)(imageList.size()/3); i++ ) |
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{ |
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for( k = 0; k < 3; k++ ) |
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{ |
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int k1 = k == 0 ? 2 : k == 1 ? 0 : 1; |
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printf("%s\n", imageList[i*3+k].c_str()); |
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view = imread(imageList[i*3+k], IMREAD_COLOR); |
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if(!view.empty()) |
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{ |
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vector<Point2f> ptvec; |
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imageSize = view.size(); |
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cvtColor(view, viewGray, COLOR_BGR2GRAY); |
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bool found = findChessboardCorners( view, boardSize, ptvec, CALIB_CB_ADAPTIVE_THRESH ); |
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drawChessboardCorners( view, boardSize, Mat(ptvec), found ); |
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if( found ) |
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{ |
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imgpt[k1][i].resize(ptvec.size()); |
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std::copy(ptvec.begin(), ptvec.end(), imgpt[k1][i].begin()); |
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} |
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//imshow("view", view); |
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//int c = waitKey(0) & 255; |
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//if( c == 27 || c == 'q' || c == 'Q' ) |
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// return -1; |
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} |
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} |
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} |
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printf("Running calibration ...\n"); |
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run3Calibration(imgpt[0], imgpt[1], imgpt[2], imageSize, |
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boardSize, squareSize, aspectRatio, flags|CALIB_FIX_K4|CALIB_FIX_K5, |
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cameraMatrix[0], distCoeffs[0], |
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cameraMatrix[1], distCoeffs[1], |
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cameraMatrix[2], distCoeffs[2], |
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R12, T12, R13, T13); |
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fs.open(outputFilename, FileStorage::WRITE); |
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fs << "cameraMatrix1" << cameraMatrix[0]; |
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fs << "cameraMatrix2" << cameraMatrix[1]; |
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fs << "cameraMatrix3" << cameraMatrix[2]; |
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fs << "distCoeffs1" << distCoeffs[0]; |
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fs << "distCoeffs2" << distCoeffs[1]; |
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fs << "distCoeffs3" << distCoeffs[2]; |
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fs << "R12" << R12; |
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fs << "T12" << T12; |
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fs << "R13" << R13; |
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fs << "T13" << T13; |
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fs << "imageWidth" << imageSize.width; |
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fs << "imageHeight" << imageSize.height; |
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Mat Q; |
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// step 3: find rectification transforms |
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double ratio = rectify3Collinear(cameraMatrix[0], distCoeffs[0], cameraMatrix[1], |
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distCoeffs[1], cameraMatrix[2], distCoeffs[2], |
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imgpt[0], imgpt[2], |
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imageSize, R12, T12, R13, T13, |
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R[0], R[1], R[2], P[0], P[1], P[2], Q, -1., |
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imageSize, 0, 0, CALIB_ZERO_DISPARITY); |
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Mat map1[3], map2[3]; |
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fs << "R1" << R[0]; |
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fs << "R2" << R[1]; |
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fs << "R3" << R[2]; |
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fs << "P1" << P[0]; |
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fs << "P2" << P[1]; |
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fs << "P3" << P[2]; |
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fs << "disparityRatio" << ratio; |
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fs.release(); |
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printf("Disparity ratio = %g\n", ratio); |
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for( k = 0; k < 3; k++ ) |
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initUndistortRectifyMap(cameraMatrix[k], distCoeffs[k], R[k], P[k], imageSize, CV_16SC2, map1[k], map2[k]); |
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Mat canvas(imageSize.height, imageSize.width*3, CV_8UC3), small_canvas; |
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destroyWindow("view"); |
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canvas = Scalar::all(0); |
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for( i = 0; i < (int)(imageList.size()/3); i++ ) |
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{ |
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canvas = Scalar::all(0); |
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for( k = 0; k < 3; k++ ) |
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{ |
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int k1 = k == 0 ? 2 : k == 1 ? 0 : 1; |
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int k2 = k == 0 ? 1 : k == 1 ? 0 : 2; |
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view = imread(imageList[i*3+k], IMREAD_COLOR); |
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if(view.empty()) |
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continue; |
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Mat rview = canvas.colRange(k2*imageSize.width, (k2+1)*imageSize.width); |
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remap(view, rview, map1[k1], map2[k1], INTER_LINEAR); |
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} |
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printf("%s %s %s\n", imageList[i*3].c_str(), imageList[i*3+1].c_str(), imageList[i*3+2].c_str()); |
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resize( canvas, small_canvas, Size(1500, 1500/3), 0, 0, INTER_LINEAR_EXACT ); |
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for( k = 0; k < small_canvas.rows; k += 16 ) |
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line(small_canvas, Point(0, k), Point(small_canvas.cols, k), Scalar(0,255,0), 1); |
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imshow("rectified", small_canvas); |
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char c = (char)waitKey(0); |
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if( c == 27 || c == 'q' || c == 'Q' ) |
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break; |
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} |
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return 0; |
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}
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