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https://github.com/opencv/opencv_contrib.git
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Added markers to sinusoidal patterns computePhaseMap for Fourier transform profilometry computePhaseMap for Fourier transform profilometry added phase map computation for PSP. Changed the maskDftRegion to frequencyFiltering. It uses regions of interest and can filter symmetrically. Also added computeShadowMask and computeDataModulationTerm changed formatting in structured light module. First commit for the phase unwrapping module. So far, pixel reliabilities are computed and edges are sorted in a histogram. Fixed an error in edges sorting. Added the unwrap histogram method. It computes the number of 2*Pi that has to be added to each pixel to unwrap the phase map added an example for phase unwrapping and a test that unwraps a simple phase map Added documentation draft and a small example that can generate sinusoidal patterns removed unnecessary include added a few comments in sinusoidalpattern.cpp and histogramphaseunwrapping.cpp. Removed some redudancy about mask in the reliability computation. Changed formatting projector calibration as a sample bug fix calibration + cap sinus example doc and tutorials modified calibration example fix for pr fix for pr shadow mask for FTP as in the reference paper changed doc added test for faps dummy commit fixing warnings in test changed test to use jpeg dummy changed permissions and used atan2(x,y) instead of atan dummy commit dummy setting dmt to zero near shadow mask border. It reduces noise bug fix in dmt computation dummy commit for build bots dummy commit for build bots
517 lines
18 KiB
C++
517 lines
18 KiB
C++
/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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//
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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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//
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//
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// License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2015, OpenCV Foundation, all rights reserved.
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// Third party copyrights are property of their respective owners.
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//
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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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//
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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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//
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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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//
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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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//
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// This software is provided by the copyright holders and contributors "as is" and
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// any express or implied warranties, including, but not limited to, the implied
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// warranties of merchantability and fitness for a particular purpose are disclaimed.
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// In no event shall the Intel Corporation or contributors be liable for any direct,
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// indirect, incidental, special, exemplary, or consequential damages
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// (including, but not limited to, procurement of substitute goods or services;
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// loss of use, data, or profits; or business interruption) however caused
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// and on any theory of liability, whether in contract, strict liability,
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// or tort (including negligence or otherwise) arising in any way out of
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// the use of this software, even if advised of the possibility of such damage.
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//
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//M*/
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#include <opencv2/highgui.hpp>
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#include <vector>
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#include <iostream>
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#include <fstream>
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#include <opencv2/core.hpp>
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#include <opencv2/core/utility.hpp>
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#include <opencv2/imgproc.hpp>
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#include <opencv2/calib3d.hpp>
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using namespace std;
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using namespace cv;
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static const char* keys =
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{
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"{@camSettingsPath | | Path of camera calibration file}"
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"{@projSettingsPath | | Path of projector settings}"
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"{@patternPath | | Path to checkerboard pattern}"
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"{@outputName | | Base name for the calibration data}"
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};
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static void help()
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{
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cout << "\nThis example calibrates a camera and a projector" << endl;
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cout << "To call: ./example_structured_light_projectorcalibration <cam_settings_path> "
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" <proj_settings_path> <chessboard_path> <calibration_basename>"
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" cam settings are parameters about the chessboard that needs to be detected to"
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" calibrate the camera and proj setting are the same kind of parameters about the chessboard"
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" that needs to be detected to calibrate the projector" << endl;
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}
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enum calibrationPattern{ CHESSBOARD, CIRCLES_GRID, ASYMETRIC_CIRCLES_GRID };
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struct Settings
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{
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Settings();
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int patternType;
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Size patternSize;
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Size subpixelSize;
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Size imageSize;
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float squareSize;
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int nbrOfFrames;
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};
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void loadSettings( String path, Settings &sttngs );
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void createObjectPoints( vector<Point3f> &patternCorners, Size patternSize, float squareSize,
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int patternType );
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void createProjectorObjectPoints( vector<Point2f> &patternCorners, Size patternSize, float squareSize,
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int patternType );
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double calibrate( vector< vector<Point3f> > objPoints, vector< vector<Point2f> > imgPoints,
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Mat &cameraMatrix, Mat &distCoeffs, vector<Mat> &r, vector<Mat> &t, Size imgSize );
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void fromCamToWorld( Mat cameraMatrix, vector<Mat> rV, vector<Mat> tV,
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vector< vector<Point2f> > imgPoints, vector< vector<Point3f> > &worldPoints );
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void saveCalibrationResults( String path, Mat camK, Mat camDistCoeffs, Mat projK, Mat projDistCoeffs,
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Mat fundamental );
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void saveCalibrationData( String path, vector<Mat> T1, vector<Mat> T2, vector<Mat> ptsProjCam, vector<Mat> ptsProjProj, vector<Mat> ptsProjCamN, vector<Mat> ptsProjProjN);
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void normalize(const Mat &pts, const int& dim, Mat& normpts, Mat &T);
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void fromVectorToMat( vector<Point2f> v, Mat &pts);
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void fromMatToVector( Mat pts, vector<Point2f> &v );
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int main( int argc, char **argv )
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{
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VideoCapture cap(CAP_PVAPI);
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Mat frame;
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int nbrOfValidFrames = 0;
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vector< vector<Point2f> > imagePointsCam, imagePointsProj, PointsInProj, imagePointsProjN, pointsInProjN;
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vector< vector<Point3f> > objectPointsCam, worldPointsProj;
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vector<Point3f> tempCam;
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vector<Point2f> tempProj;
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vector<Mat> T1, T2;
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vector<Mat> projInProj, projInCam;
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vector<Mat> projInProjN, projInCamN;
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vector<Mat> rVecs, tVecs, projectorRVecs, projectorTVecs;
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Mat cameraMatrix, distCoeffs, projectorMatrix, projectorDistCoeffs;
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Mat pattern;
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vector<Mat> images;
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Settings camSettings, projSettings;
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CommandLineParser parser(argc, argv, keys);
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String camSettingsPath = parser.get<String>(0);
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String projSettingsPath = parser.get<String>(1);
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String patternPath = parser.get<String>(2);
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String outputName = parser.get<String>(3);
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if( camSettingsPath.empty() || projSettingsPath.empty() || patternPath.empty() || outputName.empty() ){
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help();
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return -1;
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}
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pattern = imread(patternPath);
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loadSettings(camSettingsPath, camSettings);
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loadSettings(projSettingsPath, projSettings);
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projSettings.imageSize = Size(pattern.rows, pattern.cols);
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createObjectPoints(tempCam, camSettings.patternSize,
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camSettings.squareSize, camSettings.patternType);
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createProjectorObjectPoints(tempProj, projSettings.patternSize,
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projSettings.squareSize, projSettings.patternType);
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if(!cap.isOpened())
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{
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cout << "Camera could not be opened" << endl;
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return -1;
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}
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cap.set(CAP_PROP_PVAPI_PIXELFORMAT, CAP_PVAPI_PIXELFORMAT_BAYER8);
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namedWindow("pattern", WINDOW_NORMAL);
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setWindowProperty("pattern", WND_PROP_FULLSCREEN, WINDOW_FULLSCREEN);
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namedWindow("camera view", WINDOW_NORMAL);
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imshow("pattern", pattern);
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cout << "Press any key when ready" << endl;
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waitKey(0);
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while( nbrOfValidFrames < camSettings.nbrOfFrames )
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{
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cap >> frame;
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if( frame.data )
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{
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Mat color;
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cvtColor(frame, color, COLOR_BayerBG2BGR);
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if( camSettings.imageSize.height == 0 || camSettings.imageSize.width == 0 )
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{
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camSettings.imageSize = Size(frame.rows, frame.cols);
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}
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bool foundProj, foundCam;
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vector<Point2f> projPointBuf;
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vector<Point2f> camPointBuf;
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imshow("camera view", color);
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if( camSettings.patternType == CHESSBOARD && projSettings.patternType == CHESSBOARD )
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{
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int calibFlags = CALIB_CB_ADAPTIVE_THRESH;
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foundCam = findChessboardCorners(color, camSettings.patternSize,
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camPointBuf, calibFlags);
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foundProj = findChessboardCorners(color, projSettings.patternSize,
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projPointBuf, calibFlags);
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if( foundCam && foundProj )
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{
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Mat gray;
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cvtColor(color, gray, COLOR_BGR2GRAY);
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cout << "found pattern" << endl;
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Mat projCorners, camCorners;
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cornerSubPix(gray, camPointBuf, camSettings.subpixelSize, Size(-1, -1),
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TermCriteria(TermCriteria::COUNT + TermCriteria::EPS, 30, 0.1));
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cornerSubPix(gray, projPointBuf, projSettings.subpixelSize, Size(-1, -1),
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TermCriteria(TermCriteria::COUNT + TermCriteria::EPS, 30, 0.1));
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drawChessboardCorners(gray, camSettings.patternSize, camPointBuf, foundCam);
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drawChessboardCorners(gray, projSettings.patternSize, projPointBuf, foundProj);
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imshow("camera view", gray);
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char c = (char)waitKey(0);
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if( c == 10 )
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{
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cout << "saving pattern #" << nbrOfValidFrames << " for calibration" << endl;
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ostringstream name;
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name << nbrOfValidFrames;
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nbrOfValidFrames += 1;
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imagePointsCam.push_back(camPointBuf);
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imagePointsProj.push_back(projPointBuf);
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objectPointsCam.push_back(tempCam);
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PointsInProj.push_back(tempProj);
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images.push_back(frame);
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Mat ptsProjProj, ptsProjCam;
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Mat ptsProjProjN, ptsProjCamN;
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Mat TProjProj, TProjCam;
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vector<Point2f> ptsProjProjVec;
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vector<Point2f> ptsProjCamVec;
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fromVectorToMat(tempProj, ptsProjProj);
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normalize(ptsProjProj, 2, ptsProjProjN, TProjProj);
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fromMatToVector(ptsProjProjN, ptsProjProjVec);
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pointsInProjN.push_back(ptsProjProjVec);
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T2.push_back(TProjProj);
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projInProj.push_back(ptsProjProj);
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projInProjN.push_back(ptsProjProjN);
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fromVectorToMat(projPointBuf, ptsProjCam);
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normalize(ptsProjCam, 2, ptsProjCamN, TProjCam);
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fromMatToVector(ptsProjCamN, ptsProjCamVec);
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imagePointsProjN.push_back(ptsProjCamVec);
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T1.push_back(TProjCam);
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projInCam.push_back(ptsProjCam);
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projInCamN.push_back(ptsProjCamN);
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}
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else if( c == 32 )
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{
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cout << "capture discarded" << endl;
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}
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else if( c == 27 )
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{
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cout << "closing program" << endl;
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return -1;
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}
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}
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else
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{
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cout << "no pattern found, move board and press any key" << endl;
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imshow("camera view", frame);
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waitKey(0);
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}
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}
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}
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}
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saveCalibrationData(outputName + "_points.yml", T1, T2, projInCam, projInProj, projInCamN, projInProjN);
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double rms = calibrate(objectPointsCam, imagePointsCam, cameraMatrix, distCoeffs,
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rVecs, tVecs, camSettings.imageSize);
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cout << "rms = " << rms << endl;
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cout << "camera matrix = \n" << cameraMatrix << endl;
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cout << "dist coeffs = \n" << distCoeffs << endl;
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fromCamToWorld(cameraMatrix, rVecs, tVecs, imagePointsProj, worldPointsProj);
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rms = calibrate(worldPointsProj, PointsInProj, projectorMatrix, projectorDistCoeffs,
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projectorRVecs, projectorTVecs, projSettings.imageSize);
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cout << "rms = " << rms << endl;
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cout << "projector matrix = \n" << projectorMatrix << endl;
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cout << "projector dist coeffs = \n" << distCoeffs << endl;
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Mat stereoR, stereoT, essential, fundamental;
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Mat RCam, RProj, PCam, PProj, Q;
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rms = stereoCalibrate(worldPointsProj, imagePointsProj, PointsInProj, cameraMatrix, distCoeffs,
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projectorMatrix, projectorDistCoeffs, camSettings.imageSize, stereoR, stereoT,
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essential, fundamental);
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cout << "stereo calibrate: \n" << fundamental << endl;
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saveCalibrationResults(outputName, cameraMatrix, distCoeffs, projectorMatrix, projectorDistCoeffs, fundamental );
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return 0;
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}
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Settings::Settings(){
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patternType = CHESSBOARD;
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patternSize = Size(13, 9);
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subpixelSize = Size(11, 11);
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squareSize = 50;
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nbrOfFrames = 25;
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}
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void loadSettings( String path, Settings &sttngs )
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{
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FileStorage fsInput(path, FileStorage::READ);
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fsInput["PatternWidth"] >> sttngs.patternSize.width;
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fsInput["PatternHeight"] >> sttngs.patternSize.height;
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fsInput["SubPixelWidth"] >> sttngs.subpixelSize.width;
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fsInput["SubPixelHeight"] >> sttngs.subpixelSize.height;
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fsInput["SquareSize"] >> sttngs.squareSize;
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fsInput["NbrOfFrames"] >> sttngs.nbrOfFrames;
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fsInput["PatternType"] >> sttngs.patternType;
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fsInput.release();
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}
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double calibrate( vector< vector<Point3f> > objPoints, vector< vector<Point2f> > imgPoints,
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Mat &cameraMatrix, Mat &distCoeffs, vector<Mat> &r, vector<Mat> &t, Size imgSize )
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{
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int calibFlags = 0;
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double rms = calibrateCamera(objPoints, imgPoints, imgSize, cameraMatrix,
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distCoeffs, r, t, calibFlags);
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return rms;
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}
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void createObjectPoints( vector<Point3f> &patternCorners, Size patternSize, float squareSize,
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int patternType )
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{
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switch( patternType )
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{
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case CHESSBOARD:
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case CIRCLES_GRID:
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for( int i = 0; i < patternSize.height; ++i )
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{
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for( int j = 0; j < patternSize.width; ++j )
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{
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patternCorners.push_back(Point3f(float(i*squareSize), float(j*squareSize), 0));
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}
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}
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break;
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case ASYMETRIC_CIRCLES_GRID:
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break;
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}
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}
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void createProjectorObjectPoints( vector<Point2f> &patternCorners, Size patternSize, float squareSize,
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int patternType )
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{
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switch( patternType )
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{
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case CHESSBOARD:
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case CIRCLES_GRID:
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for( int i = 1; i <= patternSize.height; ++i )
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{
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for( int j = 1; j <= patternSize.width; ++j )
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{
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patternCorners.push_back(Point2f(float(j*squareSize), float(i*squareSize)));
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}
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}
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break;
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case ASYMETRIC_CIRCLES_GRID:
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break;
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}
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}
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void fromCamToWorld( Mat cameraMatrix, vector<Mat> rV, vector<Mat> tV,
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vector< vector<Point2f> > imgPoints, vector< vector<Point3f> > &worldPoints )
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{
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int s = (int) rV.size();
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Mat invK64, invK;
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invK64 = cameraMatrix.inv();
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invK64.convertTo(invK, CV_32F);
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for(int i = 0; i < s; ++i)
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{
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Mat r, t, rMat;
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rV[i].convertTo(r, CV_32F);
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tV[i].convertTo(t, CV_32F);
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Rodrigues(r, rMat);
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Mat transPlaneToCam = rMat.inv()*t;
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vector<Point3f> wpTemp;
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int s2 = (int) imgPoints[i].size();
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for(int j = 0; j < s2; ++j){
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Mat coords(3, 1, CV_32F);
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coords.at<float>(0, 0) = imgPoints[i][j].x;
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coords.at<float>(1, 0) = imgPoints[i][j].y;
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coords.at<float>(2, 0) = 1.0f;
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Mat worldPtCam = invK*coords;
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Mat worldPtPlane = rMat.inv()*worldPtCam;
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float scale = transPlaneToCam.at<float>(2)/worldPtPlane.at<float>(2);
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Mat worldPtPlaneReproject = scale*worldPtPlane - transPlaneToCam;
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Point3f pt;
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pt.x = worldPtPlaneReproject.at<float>(0);
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pt.y = worldPtPlaneReproject.at<float>(1);
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pt.z = 0;
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wpTemp.push_back(pt);
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}
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worldPoints.push_back(wpTemp);
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}
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}
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void saveCalibrationResults( String path, Mat camK, Mat camDistCoeffs, Mat projK, Mat projDistCoeffs,
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Mat fundamental )
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{
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FileStorage fs(path + ".yml", FileStorage::WRITE);
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fs << "camIntrinsics" << camK;
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fs << "camDistCoeffs" << camDistCoeffs;
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fs << "projIntrinsics" << projK;
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fs << "projDistCoeffs" << projDistCoeffs;
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fs << "fundamental" << fundamental;
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fs.release();
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}
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void saveCalibrationData( String path, vector<Mat> T1, vector<Mat> T2, vector<Mat> ptsProjCam, vector<Mat> ptsProjProj, vector<Mat> ptsProjCamN, vector<Mat> ptsProjProjN )
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{
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FileStorage fs(path + ".yml", FileStorage::WRITE);
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int size = (int) T1.size();
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fs << "size" << size;
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for( int i = 0; i < (int)T1.size(); ++i )
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{
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ostringstream nbr;
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nbr << i;
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fs << "TprojCam" + nbr.str() << T1[i];
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fs << "TProjProj" + nbr.str() << T2[i];
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fs << "ptsProjCam" + nbr.str() << ptsProjCam[i];
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fs << "ptsProjProj" + nbr.str() << ptsProjProj[i];
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fs << "ptsProjCamN" + nbr.str() << ptsProjCamN[i];
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fs << "ptsProjProjN" + nbr.str() << ptsProjProjN[i];
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}
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fs.release();
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}
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void normalize( const Mat &pts, const int& dim, Mat& normpts, Mat &T )
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{
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float averagedist = 0;
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float scale = 0;
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//centroid
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|
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Mat centroid(dim,1,CV_32F);
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Scalar tmp;
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|
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if( normpts.empty() )
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{
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normpts= Mat(pts.rows,pts.cols,CV_32F);
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}
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for( int i = 0 ; i < dim ; ++i )
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{
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tmp = mean(pts.row(i));
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centroid.at<float>(i,0) = (float)tmp[0];
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subtract(pts.row(i), centroid.at<float>(i, 0), normpts.row(i));
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}
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//average distance
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|
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Mat ptstmp;
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for( int i = 0 ; i < normpts.cols; ++i )
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{
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ptstmp = normpts.col(i);
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averagedist = averagedist+(float)norm(ptstmp);
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}
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averagedist = averagedist / normpts.cols;
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scale = (float)(sqrt(dim) / averagedist);
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|
|
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normpts = normpts * scale;
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|
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T=cv::Mat::eye(dim+1,dim+1,CV_32F);
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for( int i = 0; i < dim; ++i )
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{
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T.at<float>(i, i) = scale;
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T.at<float>(i, dim) = -scale*centroid.at<float>(i, 0);
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}
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}
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void fromVectorToMat( vector<Point2f> v, Mat &pts )
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{
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int nbrOfPoints = (int) v.size();
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|
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if( pts.empty() )
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pts.create(2, nbrOfPoints, CV_32F);
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|
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for( int i = 0; i < nbrOfPoints; ++i )
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{
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pts.at<float>(0, i) = v[i].x;
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pts.at<float>(1, i) = v[i].y;
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}
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}
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|
|
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void fromMatToVector( Mat pts, vector<Point2f> &v )
|
|
{
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|
int nbrOfPoints = pts.cols;
|
|
|
|
for( int i = 0; i < nbrOfPoints; ++i )
|
|
{
|
|
Point2f temp;
|
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temp.x = pts.at<float>(0, i);
|
|
temp.y = pts.at<float>(1, i);
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|
v.push_back(temp);
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}
|
|
} |