Merge remote-tracking branch 'origin/2.4' into merge-2.4
Conflicts: modules/contrib/src/basicretinafilter.hpp modules/contrib/src/magnoretinafilter.hpp modules/contrib/src/parvoretinafilter.hpp modules/contrib/src/retinacolor.hpp modules/gpu/include/opencv2/gpu/gpu.hpp modules/highgui/src/cap_tyzx.cpp modules/ocl/perf/perf_filters.cpp modules/ocl/src/haar.cpp modules/ocl/src/opencl/haarobjectdetect.cl modules/ocl/test/test_filters.cpp modules/ocl/test/test_objdetect.cpp
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@@ -343,7 +343,7 @@ int cvFindNextMaximalClique( CvCliqueFinder* finder )
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break;
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case NEXT:
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//here we will look for candidate to translate into not
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//s[k] now contains index of choosen candidate
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//s[k] now contains index of chosen candidate
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{
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int* new_ = All[k+1];
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if( nod[k] != 0 )
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@@ -590,7 +590,7 @@ void cvBronKerbosch( CvGraph* graph )
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break;
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case NEXT:
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//here we will look for candidate to translate into not
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//s[k] now contains index of choosen candidate
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//s[k] now contains index of chosen candidate
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{
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int* new_ = All[k+1];
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if( nod[k] != 0 )
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@@ -3621,7 +3621,7 @@ int cvComputeEpipolesFromFundMatrix(CvMatr32f fundMatr,
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CvMat* matrV = cvCreateMat(3,3,CV_MAT32F);
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/* From svd we need just last vector of U and V or last row from U' and V' */
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/* We get transposed matrixes U and V */
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/* We get transposed matrices U and V */
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cvSVD(&fundMatrC,matrW,matrU,matrV,CV_SVD_V_T|CV_SVD_U_T);
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/* Get last row from U' and compute epipole1 */
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@@ -1180,7 +1180,7 @@ icvSingularValueDecomposition( int M,
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} /* for */
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} /* if */
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/* Iterations QR-algorithm for bidiagonal matrixes
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/* Iterations QR-algorithm for bidiagonal matrices
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W[i] - is the main diagonal
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rv1[i] - is the top diagonal, rv1[0]=0.
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*/
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@@ -902,7 +902,7 @@ int icvComputeProjectMatricesNPoints( CvMat* points1,CvMat* points2,CvMat* poin
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tmpProjMatr[1] = cvMat(9,4,CV_64F,tmpProjMatr_dat+36);
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tmpProjMatr[2] = cvMat(9,4,CV_64F,tmpProjMatr_dat+72);
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/* choosen points */
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/* chosen points */
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while( wasCount < NumSamples )
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{
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@@ -1494,7 +1494,7 @@ void GetGeneratorReduceFundSolution(CvMat* points1,CvMat* points2,CvMat* fundRed
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matrV = cvMat(5,5,CV_64F,matrV_dat);
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/* From svd we need just two last vectors of V or two last row V' */
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/* We get transposed matrixes U and V */
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/* We get transposed matrices U and V */
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cvSVD(&matrA,&matrW,0,&matrV,CV_SVD_V_T);
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@@ -1529,7 +1529,7 @@ int GetGoodReduceFundamMatrFromTwo(CvMat* fundReduceCoef1,CvMat* fundReduceCoef2
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CV_ERROR( CV_StsUnsupportedFormat, "Input parameters must be a matrices" );
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}
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/* using two fundamental matrix comute matrixes for det(F)=0 */
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/* using two fundamental matrix comute matrices for det(F)=0 */
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/* May compute 1 or 3 matrices. Returns number of solutions */
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/* Here we will use case F=a*F1+(1-a)*F2 instead of F=m*F1+l*F2 */
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@@ -1667,7 +1667,7 @@ void GetProjMatrFromReducedFundamental(CvMat* fundReduceCoefs,CvMat* projMatrCoe
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matrV = cvMat(3,3,CV_64F,matrV_dat);
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/* From svd we need just last vector of V or last row V' */
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/* We get transposed matrixes U and V */
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/* We get transposed matrices U and V */
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cvSVD(&matrA,&matrW,0,&matrV,CV_SVD_V_T);
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@@ -1733,7 +1733,7 @@ void GetProjMatrFromReducedFundamental(CvMat* fundReduceCoefs,CvMat* projMatrCoe
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matrV1 = cvMat(6,6,CV_64F,matrV_dat1);
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/* From svd we need just last vector of V or last row V' */
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/* We get transposed matrixes U and V */
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/* We get transposed matrices U and V */
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cvSVD(&matrK,&matrW1,0,&matrV1,CV_SVD_V_T);
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@@ -2034,7 +2034,7 @@ void icvComputeTransform4D(CvMat* points1,CvMat* points2,CvMat* transMatr)
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}
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/* From svd we need just two last vectors of V or two last row V' */
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/* We get transposed matrixes U and V */
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/* We get transposed matrices U and V */
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cvSVD(matrA,matrW,0,&matrV,CV_SVD_V_T);
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