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//
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// Three Frequency Phase Shifting using the Heterodyne Principle
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//
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// This implementation follows "Reich, Ritter, Thesing, White light heterodyne principle for 3D-measurement", SPIE (1997)
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//
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jakw |
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// The number of periods in the First and Second frequencies can be chosen freely, but small changes can have a considerable impact on quality.
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// The number of phase shifts can be chosen freely (min. 3), and higher values reduce the effects of image noise. They also allow us to filter bad points based on energy at non-First frequencies.
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jakw |
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//
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#include "AlgorithmPhaseShiftThreeFreq.h"
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#include <math.h>
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#include "cvtools.h"
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#include "algorithmtools.h"
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static unsigned int nStepsFirst = 8; // number of shifts/steps in First
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static unsigned int nStepsSecond = 8; // number of shifts/steps in Second
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static unsigned int nStepsThird = 8; // number of shifts/steps in Third
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static float nPeriodsFirst = 24; // First period
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static float nPeriodsSecond = 30; // First period
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AlgorithmPhaseShiftThreeFreq::AlgorithmPhaseShiftThreeFreq(unsigned int _screenCols, unsigned int _screenRows) : Algorithm(_screenCols, _screenRows){
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// Set N
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N = 2+nStepsFirst+nStepsSecond+nStepsThird;
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// Determine the third number of periods to fulfill the heterodyne condition
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float nPeriodsThird = 1 + 2*nPeriodsSecond - nPeriodsFirst;
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// all on pattern
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cv::Mat allOn(1, screenCols, CV_8UC3, cv::Scalar::all(255));
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patterns.push_back(allOn);
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// all off pattern
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cv::Mat allOff(1, screenCols, CV_8UC3, cv::Scalar::all(0));
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patterns.push_back(allOff);
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// Precompute encoded patterns
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// First encoding patterns
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for(unsigned int i=0; i<nStepsFirst; i++){
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float phase = 2.0*CV_PI/nStepsFirst * i;
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float pitch = screenCols/nPeriodsFirst;
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cv::Mat patternI(1,1,CV_8U);
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patternI = computePhaseVector(screenCols, phase, pitch);
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patterns.push_back(patternI.t());
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}
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// Second encoding patterns
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for(unsigned int i=0; i<nStepsSecond; i++){
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float phase = 2.0*CV_PI/nStepsSecond * i;
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float pitch = screenCols/nPeriodsSecond;
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cv::Mat patternI(1,1,CV_8U);
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patternI = computePhaseVector(screenCols, phase, pitch);
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patterns.push_back(patternI.t());
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}
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// Third encoding patterns
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for(unsigned int i=0; i<nStepsThird; i++){
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float phase = 2.0*CV_PI/nStepsThird * i;
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float pitch = screenCols/nPeriodsThird;
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cv::Mat patternI(1,1,CV_8U);
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patternI = computePhaseVector(screenCols, phase, pitch);
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patterns.push_back(patternI.t());
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}
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}
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cv::Mat AlgorithmPhaseShiftThreeFreq::getEncodingPattern(unsigned int depth){
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return patterns[depth];
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}
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void AlgorithmPhaseShiftThreeFreq::get3DPoints(SMCalibrationParameters calibration, const std::vector<cv::Mat>& frames0, const std::vector<cv::Mat>& frames1, std::vector<cv::Point3f>& Q, std::vector<cv::Vec3b>& color){
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assert(frames0.size() == N);
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assert(frames1.size() == N);
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int frameRows = frames0[0].rows;
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int frameCols = frames0[0].cols;
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float nPeriodsThird = 1 + 2*nPeriodsSecond - nPeriodsFirst;
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// Rectifying homographies (rotation+projections)
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cv::Size frameSize(frameCols, frameRows);
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cv::Mat R, T;
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// stereoRectify segfaults unless R is double precision
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cv::Mat(calibration.R1).convertTo(R, CV_64F);
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cv::Mat(calibration.T1).convertTo(T, CV_64F);
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cv::Mat R0, R1, P0, P1, QRect;
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cv::stereoRectify(calibration.K0, calibration.k0, calibration.K1, calibration.k1, frameSize, R, T, R0, R1, P0, P1, QRect, 0);
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// Interpolation maps (lens distortion and rectification)
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cv::Mat map0X, map0Y, map1X, map1Y;
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cv::initUndistortRectifyMap(calibration.K0, calibration.k0, R0, P0, frameSize, CV_32F, map0X, map0Y);
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cv::initUndistortRectifyMap(calibration.K1, calibration.k1, R1, P1, frameSize, CV_32F, map1X, map1Y);
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// Gray-scale and remap
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std::vector<cv::Mat> frames0Rect(N);
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std::vector<cv::Mat> frames1Rect(N);
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for(unsigned int i=0; i<N; i++){
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cv::Mat temp;
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cv::cvtColor(frames0[i], temp, CV_BayerBG2GRAY);
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cv::remap(temp, frames0Rect[i], map0X, map0Y, CV_INTER_LINEAR);
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cv::cvtColor(frames1[i], temp, CV_BayerBG2GRAY);
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cv::remap(temp, frames1Rect[i], map1X, map1Y, CV_INTER_LINEAR);
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}
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// Decode camera0
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std::vector<cv::Mat> frames0First(frames0Rect.begin()+2, frames0Rect.begin()+2+nStepsFirst);
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std::vector<cv::Mat> frames0Second(frames0Rect.begin()+2+nStepsFirst, frames0Rect.end()-nStepsThird);
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std::vector<cv::Mat> frames0Third(frames0Rect.end()-nStepsThird, frames0Rect.end());
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std::vector<cv::Mat> F0First = getDFTComponents(frames0First);
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cv::Mat up0First;
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cv::phase(F0First[2], -F0First[3], up0First);
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std::vector<cv::Mat> F0Second = getDFTComponents(frames0Second);
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cv::Mat up0Second;
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cv::phase(F0Second[2], -F0Second[3], up0Second);
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std::vector<cv::Mat> F0Third = getDFTComponents(frames0Third);
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cv::Mat up0Third;
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cv::phase(F0Third[2], -F0Third[3], up0Third);
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cv::Mat up0FS = up0Second - up0First;
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jakw |
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up0FS = cvtools::modulo(up0FS, 2.0*CV_PI);
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jakw |
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jakw |
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cv::Mat up0ST = up0Third - up0Second;
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up0ST = cvtools::modulo(up0ST, 2.0*CV_PI);
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cv::Mat up0FST = up0ST - up0FS;
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up0FST = cvtools::modulo(up0FST, 2.0*CV_PI);
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cv::Mat up0F = unwrapWithCue(up0First, up0FST, nPeriodsFirst);
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cv::Mat up0S = unwrapWithCue(up0Second, up0FST, nPeriodsSecond);
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cv::Mat up0T = unwrapWithCue(up0Third, up0FST, nPeriodsThird);
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cv::Mat up0Mean = 1.0/3.0 * (up0F + up0S + up0T);
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cv::Mat up0Range = cv::max(up0F, cv::max(up0S, up0T)) - cv::min(up0F, cv::min(up0S, up0T));
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cv::Mat up0 = up0Mean * screenCols/(2.0*CV_PI);
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cv::Mat amplitude0;
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cv::magnitude(F0First[2], -F0First[3], amplitude0);
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// Decode camera1
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std::vector<cv::Mat> frames1First(frames1Rect.begin()+2, frames1Rect.begin()+2+nStepsFirst);
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std::vector<cv::Mat> frames1Second(frames1Rect.begin()+2+nStepsFirst, frames1Rect.end()-nStepsThird);
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std::vector<cv::Mat> frames1Third(frames1Rect.end()-nStepsThird, frames1Rect.end());
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std::vector<cv::Mat> F1First = getDFTComponents(frames1First);
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cv::Mat up1First;
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cv::phase(F1First[2], -F1First[3], up1First);
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std::vector<cv::Mat> F1Second = getDFTComponents(frames1Second);
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cv::Mat up1Second;
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cv::phase(F1Second[2], -F1Second[3], up1Second);
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std::vector<cv::Mat> F1Third = getDFTComponents(frames1Third);
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cv::Mat up1Third;
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cv::phase(F1Third[2], -F1Third[3], up1Third);
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cv::Mat up1FS = up1Second - up1First;
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up1FS = cvtools::modulo(up1FS, 2.0*CV_PI);
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cv::Mat up1ST = up1Third - up1Second;
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up1ST = cvtools::modulo(up1ST, 2.0*CV_PI);
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cv::Mat up1FST = up1ST - up1FS;
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up1FST = cvtools::modulo(up1FST, 2.0*CV_PI);
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cv::Mat up1F = unwrapWithCue(up1First, up1FST, nPeriodsFirst);
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cv::Mat up1S = unwrapWithCue(up1Second, up1FST, nPeriodsSecond);
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cv::Mat up1T = unwrapWithCue(up1Third, up1FST, nPeriodsThird);
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cv::Mat up1Mean = 1.0/3.0 * (up1F + up1S + up1T);
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cv::Mat up1Range = cv::max(up1F, cv::max(up1S, up1T)) - cv::min(up1F, cv::min(up1S, up1T));
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cv::Mat up1 = up1Mean * screenCols/(2.0*CV_PI);
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cv::Mat amplitude1;
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cv::magnitude(F1First[2], -F1First[3], amplitude1);
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#ifdef QT_DEBUG
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cvtools::writeMat(up0First, "up0First.mat", "up0First");
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cvtools::writeMat(up0Second, "up0Second.mat", "up0Second");
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cvtools::writeMat(up0Third, "up0Third.mat", "up0Third");
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cvtools::writeMat(up0FS, "up0FS.mat", "up0FS");
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cvtools::writeMat(up0ST, "up0ST.mat", "up0ST");
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cvtools::writeMat(up0FST, "up0FST.mat", "up0FST");
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cvtools::writeMat(up0Mean, "up0Mean.mat", "up0Mean");
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cvtools::writeMat(up0Range, "up0Range.mat", "up0Range");
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cvtools::writeMat(up0, "up0.mat", "up0");
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cvtools::writeMat(up1, "up1.mat", "up1");
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cvtools::writeMat(amplitude0, "amplitude0.mat", "amplitude0");
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cvtools::writeMat(amplitude0, "amplitude0.mat", "amplitude0");
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cvtools::writeMat(amplitude1, "amplitude1.mat", "amplitude1");
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#endif
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jakw |
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// color debayer and remap
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cv::Mat color0, color1;
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cv::cvtColor(frames0[0], color0, CV_BayerBG2RGB);
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cv::remap(color0, color0, map0X, map0Y, CV_INTER_LINEAR);
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cv::cvtColor(frames1[0], color1, CV_BayerBG2RGB);
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cv::remap(color1, color1, map1X, map1Y, CV_INTER_LINEAR);
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jakw |
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#ifdef QT_DEBUG
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cvtools::writeMat(color0, "color0.mat", "color0");
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cvtools::writeMat(color1, "color1.mat", "color1");
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#endif
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// Occlusion masks
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cv::Mat occlusion0, occlusion1;
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cv::subtract(frames0Rect[0], frames0Rect[1], occlusion0);
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occlusion0 = (occlusion0 > 25) & (occlusion0 < 250);
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cv::subtract(frames1Rect[0], frames1Rect[1], occlusion1);
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occlusion1 = (occlusion1 > 25) & (occlusion1 < 250);
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// Threshold on range
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occlusion0 = occlusion0 & (up0Range < 0.05);
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occlusion1 = occlusion1 & (up1Range < 0.05);
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// // Erode occlusion masks
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// cv::Mat strel = cv::getStructuringElement(cv::MORPH_ELLIPSE, cv::Size(5,5));
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// cv::erode(occlusion0, occlusion0, strel);
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// cv::erode(occlusion1, occlusion1, strel);
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jakw |
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// Threshold on gradient of phase
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cv::Mat edges0;
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cv::Sobel(up0, edges0, -1, 1, 1, 5);
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occlusion0 = occlusion0 & (abs(edges0) < 150);
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cv::Mat edges1;
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cv::Sobel(up1, edges1, -1, 1, 1, 5);
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occlusion1 = occlusion1 & (abs(edges1) < 150);
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jakw |
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#ifdef QT_DEBUG
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cvtools::writeMat(edges0, "edges0.mat", "edges0");
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cvtools::writeMat(edges1, "edges1.mat", "edges1");
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#endif
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jakw |
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jakw |
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#ifdef QT_DEBUG
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cvtools::writeMat(occlusion0, "occlusion0.mat", "occlusion0");
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cvtools::writeMat(occlusion1, "occlusion1.mat", "occlusion1");
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#endif
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jakw |
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// Match phase maps
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int frameRectRows = map0X.rows;
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int frameRectCols = map0X.cols;
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// camera0 against camera1
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jakw |
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std::vector<cv::Vec2f> q0, q1;
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jakw |
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for(int row=0; row<frameRectRows; row++){
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for(int col=0; col<frameRectCols; col++){
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jakw |
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if(!occlusion0.at<char>(row,col))
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jakw |
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continue;
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jakw |
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float up0i = up0.at<float>(row,col);
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for(int col1=0; col1<up1.cols-1; col1++){
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jakw |
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jakw |
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if(!occlusion1.at<char>(row,col1) || !occlusion1.at<char>(row,col1+1))
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jakw |
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continue;
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jakw |
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float up1Left = up1.at<float>(row,col1);
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float up1Right = up1.at<float>(row,col1+1);
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jakw |
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jakw |
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if((up1Left <= up0i) && (up0i <= up1Right) && (up0i-up1Left < 1.0) && (up1Right-up0i < 1.0) && (up1Right-up1Left > 0.1)){
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jakw |
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float col1i = col1 + (up0i-up1Left)/(up1Right-up1Left);
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jakw |
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q0.push_back(cv::Point2f(col, row));
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q1.push_back(cv::Point2f(col1i, row));
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jakw |
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break;
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jakw |
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}
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}
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}
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}
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jakw |
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int nMatches = q0.size();
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jakw |
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if(nMatches < 1){
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|
279 |
Q.resize(0);
|
|
|
280 |
color.resize(0);
|
|
|
281 |
|
|
|
282 |
return;
|
|
|
283 |
}
|
|
|
284 |
|
|
|
285 |
// Retrieve color information
|
|
|
286 |
color.resize(nMatches);
|
|
|
287 |
for(int i=0; i<nMatches; i++){
|
|
|
288 |
|
179 |
jakw |
289 |
cv::Vec3b c0 = color0.at<cv::Vec3b>(q0[i][1], q0[i][0]);
|
|
|
290 |
cv::Vec3b c1 = color1.at<cv::Vec3b>(q1[i][1], q1[i][0]);
|
70 |
jakw |
291 |
|
|
|
292 |
color[i] = 0.5*c0 + 0.5*c1;
|
|
|
293 |
}
|
|
|
294 |
|
|
|
295 |
// Triangulate points
|
|
|
296 |
cv::Mat QMatHomogenous, QMat;
|
179 |
jakw |
297 |
cv::triangulatePoints(P0, P1, q0, q1, QMatHomogenous);
|
70 |
jakw |
298 |
cvtools::convertMatFromHomogeneous(QMatHomogenous, QMat);
|
|
|
299 |
|
|
|
300 |
// Undo rectification
|
|
|
301 |
cv::Mat R0Inv;
|
|
|
302 |
cv::Mat(R0.t()).convertTo(R0Inv, CV_32F);
|
|
|
303 |
QMat = R0Inv*QMat;
|
|
|
304 |
|
|
|
305 |
cvtools::matToPoints3f(QMat, Q);
|
|
|
306 |
|
4 |
jakw |
307 |
}
|