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@ -1254,7 +1254,7 @@ CV_IMPL double cvCalibrateCamera2( const CvMat* objectPoints, |
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CV_Error( CV_StsUnsupportedFormat, |
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"the array of point counters must be 1-dimensional integer vector" ); |
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//when the thin prism model is used the distortion coefficients matrix must have 12 parameters
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if((flags & CV_CALIB_THIN_PRISM_MODEL) && (distCoeffs->cols*distCoeffs->rows != 12)) |
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if((flags & CALIB_THIN_PRISM_MODEL) && (distCoeffs->cols*distCoeffs->rows != 12)) |
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CV_Error( CV_StsBadArg, "Thin prism model must have 12 parameters in the distortion matrix" ); |
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nimages = npoints->rows*npoints->cols; |
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@ -1332,14 +1332,14 @@ CV_IMPL double cvCalibrateCamera2( const CvMat* objectPoints, |
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if( distCoeffs->rows*distCoeffs->cols*CV_MAT_CN(distCoeffs->type) < 8 ) |
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{ |
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if( distCoeffs->rows*distCoeffs->cols*CV_MAT_CN(distCoeffs->type) < 5 ) |
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flags |= CV_CALIB_FIX_K3; |
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flags |= CV_CALIB_FIX_K4 | CV_CALIB_FIX_K5 | CV_CALIB_FIX_K6; |
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flags |= CALIB_FIX_K3; |
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flags |= CALIB_FIX_K4 | CALIB_FIX_K5 | CALIB_FIX_K6; |
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} |
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const double minValidAspectRatio = 0.01; |
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const double maxValidAspectRatio = 100.0; |
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// 1. initialize intrinsic parameters & LM solver
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if( flags & CV_CALIB_USE_INTRINSIC_GUESS ) |
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if( flags & CALIB_USE_INTRINSIC_GUESS ) |
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{ |
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cvConvert( cameraMatrix, &matA ); |
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if( A(0, 0) <= 0 || A(1, 1) <= 0 ) |
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@ -1356,7 +1356,7 @@ CV_IMPL double cvCalibrateCamera2( const CvMat* objectPoints, |
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A(0, 1) = A(1, 0) = A(2, 0) = A(2, 1) = 0.; |
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A(2, 2) = 1.; |
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if( flags & CV_CALIB_FIX_ASPECT_RATIO ) |
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if( flags & CALIB_FIX_ASPECT_RATIO ) |
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{ |
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aspectRatio = A(0, 0)/A(1, 1); |
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@ -1376,7 +1376,7 @@ CV_IMPL double cvCalibrateCamera2( const CvMat* objectPoints, |
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for( i = 0; i < total; i++ ) |
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matM.at<Point3d>(i).z = 0.; |
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if( flags & CV_CALIB_FIX_ASPECT_RATIO ) |
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if( flags & CALIB_FIX_ASPECT_RATIO ) |
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{ |
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aspectRatio = cvmGet(cameraMatrix,0,0); |
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aspectRatio /= cvmGet(cameraMatrix,1,1); |
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@ -1406,8 +1406,8 @@ CV_IMPL double cvCalibrateCamera2( const CvMat* objectPoints, |
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param[6] = param[7] = 0; |
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mask[6] = mask[7] = 0; |
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} |
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if( !(flags & CV_CALIB_RATIONAL_MODEL) ) |
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flags |= CV_CALIB_FIX_K4 + CV_CALIB_FIX_K5 + CV_CALIB_FIX_K6; |
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if( !(flags & CALIB_RATIONAL_MODEL) ) |
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flags |= CALIB_FIX_K4 + CALIB_FIX_K5 + CALIB_FIX_K6; |
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if( !(flags & CV_CALIB_THIN_PRISM_MODEL)) |
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flags |= CALIB_FIX_S1_S2_S3_S4; |
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@ -1451,7 +1451,7 @@ CV_IMPL double cvCalibrateCamera2( const CvMat* objectPoints, |
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bool proceed = solver.updateAlt( _param, _JtJ, _JtErr, _errNorm ); |
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double *param = solver.param->data.db, *pparam = solver.prevParam->data.db; |
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if( flags & CV_CALIB_FIX_ASPECT_RATIO ) |
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if( flags & CALIB_FIX_ASPECT_RATIO ) |
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{ |
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param[0] = param[1]*aspectRatio; |
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pparam[0] = pparam[1]*aspectRatio; |
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@ -1487,9 +1487,9 @@ CV_IMPL double cvCalibrateCamera2( const CvMat* objectPoints, |
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if( solver.state == CvLevMarq::CALC_J ) |
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{ |
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cvProjectPoints2( &_Mi, &_ri, &_ti, &matA, &_k, &_mp, &_dpdr, &_dpdt, |
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(flags & CV_CALIB_FIX_FOCAL_LENGTH) ? 0 : &_dpdf, |
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(flags & CV_CALIB_FIX_PRINCIPAL_POINT) ? 0 : &_dpdc, &_dpdk, |
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(flags & CV_CALIB_FIX_ASPECT_RATIO) ? aspectRatio : 0); |
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(flags & CALIB_FIX_FOCAL_LENGTH) ? 0 : &_dpdf, |
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(flags & CALIB_FIX_PRINCIPAL_POINT) ? 0 : &_dpdc, &_dpdk, |
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(flags & CALIB_FIX_ASPECT_RATIO) ? aspectRatio : 0); |
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} |
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else |
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cvProjectPoints2( &_Mi, &_ri, &_ti, &matA, &_k, &_mp ); |
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@ -3215,10 +3215,22 @@ double cv::calibrateCamera( InputArrayOfArrays _objectPoints, |
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if( !(flags & CALIB_RATIONAL_MODEL) &&(!(flags & CALIB_THIN_PRISM_MODEL))) |
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distCoeffs = distCoeffs.rows == 1 ? distCoeffs.colRange(0, 5) : distCoeffs.rowRange(0, 5); |
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int i; |
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size_t nimages = _objectPoints.total(); |
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int nimages = int(_objectPoints.total()); |
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CV_Assert( nimages > 0 ); |
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Mat objPt, imgPt, npoints, rvecM((int)nimages, 3, CV_64FC1), tvecM((int)nimages, 3, CV_64FC1); |
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Mat objPt, imgPt, npoints, rvecM, tvecM; |
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bool rvecs_needed = _rvecs.needed(), tvecs_needed = _tvecs.needed(); |
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if( rvecs_needed ) { |
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_rvecs.create(nimages, 1, CV_64FC3); |
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rvecM.create(nimages, 3, CV_64F); |
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} |
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if( tvecs_needed ) { |
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_tvecs.create(nimages, 1, CV_64FC3); |
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tvecM.create(nimages, 3, CV_64F); |
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} |
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collectCalibrationData( _objectPoints, _imagePoints, noArray(), |
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objPt, imgPt, 0, npoints ); |
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CvMat c_objPt = objPt, c_imgPt = imgPt, c_npoints = npoints; |
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@ -3226,31 +3238,26 @@ double cv::calibrateCamera( InputArrayOfArrays _objectPoints, |
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CvMat c_rvecM = rvecM, c_tvecM = tvecM; |
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double reprojErr = cvCalibrateCamera2(&c_objPt, &c_imgPt, &c_npoints, imageSize, |
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&c_cameraMatrix, &c_distCoeffs, &c_rvecM, |
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&c_tvecM, flags, criteria ); |
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&c_cameraMatrix, &c_distCoeffs, |
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rvecs_needed ? &c_rvecM : NULL, |
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tvecs_needed ? &c_tvecM : NULL, flags, criteria ); |
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bool rvecs_needed = _rvecs.needed(), tvecs_needed = _tvecs.needed(); |
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if( rvecs_needed ) |
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_rvecs.create((int)nimages, 1, CV_64FC3); |
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if( tvecs_needed ) |
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_tvecs.create((int)nimages, 1, CV_64FC3); |
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for( i = 0; i < (int)nimages; i++ ) |
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for(int i = 0; i < nimages; i++ ) |
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{ |
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if( rvecs_needed ) |
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{ |
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_rvecs.create(3, 1, CV_64F, i, true); |
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Mat rv = _rvecs.getMat(i); |
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memcpy(rv.ptr(), rvecM.ptr<double>(i), 3*sizeof(double)); |
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memcpy(rv.ptr(), rvecM.ptr(i), 3*sizeof(double)); |
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} |
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if( tvecs_needed ) |
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{ |
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_tvecs.create(3, 1, CV_64F, i, true); |
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Mat tv = _tvecs.getMat(i); |
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memcpy(tv.ptr(), tvecM.ptr<double>(i), 3*sizeof(double)); |
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memcpy(tv.ptr(), tvecM.ptr(i), 3*sizeof(double)); |
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} |
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} |
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cameraMatrix.copyTo(_cameraMatrix); |
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distCoeffs.copyTo(_distCoeffs); |
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