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reverting changes in Homography kernel function. For some reason GCC on Linux does not like it.
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@ -130,8 +130,12 @@ public:
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const Point2f* M = m1.ptr<Point2f>();
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const Point2f* m = m2.ptr<Point2f>();
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Matx<double, 9, 9> LtL, V;
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Vec<double, 9> W;
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double LtL[9][9], W[9][1], V[9][9];
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Mat _LtL( 9, 9, CV_64F, &LtL[0][0] );
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Mat matW( 9, 1, CV_64F, W );
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Mat matV( 9, 9, CV_64F, V );
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Mat _H0( 3, 3, CV_64F, V[8] );
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Mat _Htemp( 3, 3, CV_64F, V[7] );
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Point2d cM(0,0), cm(0,0), sM(0,0), sm(0,0);
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for( i = 0; i < count; i++ )
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@ -159,9 +163,12 @@ public:
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sm.x = count/sm.x; sm.y = count/sm.y;
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sM.x = count/sM.x; sM.y = count/sM.y;
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Matx33d invHnorm( 1./sm.x, 0, cm.x, 0, 1./sm.y, cm.y, 0, 0, 1 );
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Matx33d Hnorm2( sM.x, 0, -cM.x*sM.x, 0, sM.y, -cM.y*sM.y, 0, 0, 1 );
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double invHnorm[9] = { 1./sm.x, 0, cm.x, 0, 1./sm.y, cm.y, 0, 0, 1 };
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double Hnorm2[9] = { sM.x, 0, -cM.x*sM.x, 0, sM.y, -cM.y*sM.y, 0, 0, 1 };
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Mat _invHnorm( 3, 3, CV_64FC1, invHnorm );
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Mat _Hnorm2( 3, 3, CV_64FC1, Hnorm2 );
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_LtL.setTo(Scalar::all(0));
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for( i = 0; i < count; i++ )
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{
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double x = (m[i].x - cm.x)*sm.x, y = (m[i].y - cm.y)*sm.y;
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@ -171,14 +178,14 @@ public:
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int j, k;
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for( j = 0; j < 9; j++ )
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for( k = j; k < 9; k++ )
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LtL(j, k) += Lx[j]*Lx[k] + Ly[j]*Ly[k];
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LtL[j][k] += Lx[j]*Lx[k] + Ly[j]*Ly[k];
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}
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completeSymm( LtL );
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eigen( LtL, W, V );
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Matx33d Htemp = invHnorm*Matx33d(&V(8,0));
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Matx33d H0 = Htemp*Hnorm2;
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Mat(H0).convertTo(_model, CV_64F, 1./H0(2,2) );
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completeSymm( _LtL );
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eigen( _LtL, matW, matV );
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_Htemp = _invHnorm*_H0;
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_H0 = _Htemp*_Hnorm2;
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_H0.convertTo(_model, _H0.type(), 1./_H0.at<double>(2,2) );
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return 1;
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}
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@ -190,12 +197,7 @@ public:
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const Point2f* M = m1.ptr<Point2f>();
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const Point2f* m = m2.ptr<Point2f>();
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const double* H = model.ptr<double>();
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float Hf[] =
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{
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(float)H[0], (float)H[1], (float)H[2],
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(float)H[3], (float)H[4], (float)H[5],
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(float)H[6], (float)H[7]
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};
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float Hf[] = { (float)H[0], (float)H[1], (float)H[2], (float)H[3], (float)H[4], (float)H[5], (float)H[6], (float)H[7] };
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_err.create(count, 1, CV_32F);
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float* err = _err.getMat().ptr<float>();
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@ -690,7 +692,8 @@ cv::Mat cv::findFundamentalMat( InputArray _points1, InputArray _points2,
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result = cb->runKernel(m1, m2, F);
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if( _mask.needed() )
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{
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_mask.create(npoints, 1, CV_8U, -1, true);
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if( !_mask.fixedSize() )
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_mask.create(npoints, 1, CV_8U);
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Mat mask = _mask.getMat();
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CV_Assert( (mask.cols == 1 || mask.rows == 1) && (int)mask.total() == npoints );
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mask.setTo(Scalar::all(1));
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