eigenvectors 134 modules/calib3d/src/dls.cpp cv::Mat eigenvalues, eigenvectors; eigenvectors 135 modules/calib3d/src/dls.cpp cv::eigen(H, eigenvalues, eigenvectors); eigenvectors 283 modules/calib3d/src/dls.cpp Eigen::MatrixXd eigvec_real = ces.eigenvectors().real(); eigenvectors 284 modules/calib3d/src/dls.cpp Eigen::MatrixXd eigvec_imag = ces.eigenvectors().imag(); eigenvectors 293 modules/calib3d/src/dls.cpp eigenvec_real = es.eigenvectors(); eigenvectors 770 modules/calib3d/src/dls.h Mat eigenvectors() { return _eigenvectors; } eigenvectors 1814 modules/core/include/opencv2/core.hpp OutputArray eigenvectors = noArray()); eigenvectors 1845 modules/core/include/opencv2/core.hpp OutputArray eigenvectors, int maxComponents = 0); eigenvectors 1849 modules/core/include/opencv2/core.hpp OutputArray eigenvectors, double retainedVariance); eigenvectors 1853 modules/core/include/opencv2/core.hpp InputArray eigenvectors, OutputArray result); eigenvectors 1857 modules/core/include/opencv2/core.hpp InputArray eigenvectors, OutputArray result); eigenvectors 2367 modules/core/include/opencv2/core.hpp Mat eigenvectors; //!< eigenvectors of the covariation matrix eigenvectors 1081 modules/core/src/lda.cpp _eigenvectors = es.eigenvectors(); eigenvectors 3395 modules/core/src/matmul.cpp pca.eigenvectors = evects; eigenvectors 3409 modules/core/src/matmul.cpp evects = pca.eigenvectors; eigenvectors 3452 modules/core/src/matmul.cpp pca.eigenvectors = evects.rowRange(0, n); eigenvectors 3483 modules/core/src/matmul.cpp pca.eigenvectors = evects.rowRange(0, n); eigenvectors 110 modules/core/src/pca.cpp eigen( covar, eigenvalues, eigenvectors ); eigenvectors 129 modules/core/src/pca.cpp gemm( eigenvectors, tmp_data, 1, Mat(), 0, evects1, eigenvectors 131 modules/core/src/pca.cpp eigenvectors = evects1; eigenvectors 137 modules/core/src/pca.cpp Mat vec = eigenvectors.row(i); eigenvectors 146 modules/core/src/pca.cpp eigenvectors = eigenvectors.rowRange(0,out_count).clone(); eigenvectors 156 modules/core/src/pca.cpp fs << "vectors" << eigenvectors; eigenvectors 167 modules/core/src/pca.cpp cv::read(fs["vectors"], eigenvectors); eigenvectors 246 modules/core/src/pca.cpp eigen( covar, eigenvalues, eigenvectors ); eigenvectors 265 modules/core/src/pca.cpp gemm( eigenvectors, tmp_data, 1, Mat(), 0, evects1, eigenvectors 267 modules/core/src/pca.cpp eigenvectors = evects1; eigenvectors 271 modules/core/src/pca.cpp for( i = 0; i < eigenvectors.rows; i++ ) eigenvectors 273 modules/core/src/pca.cpp Mat vec = eigenvectors.row(i); eigenvectors 287 modules/core/src/pca.cpp eigenvectors = eigenvectors.rowRange(0,L).clone(); eigenvectors 295 modules/core/src/pca.cpp CV_Assert( !mean.empty() && !eigenvectors.empty() && eigenvectors 310 modules/core/src/pca.cpp gemm( tmp_data, eigenvectors, 1, Mat(), 0, result, GEMM_2_T ); eigenvectors 312 modules/core/src/pca.cpp gemm( eigenvectors, tmp_data, 1, Mat(), 0, result, 0 ); eigenvectors 325 modules/core/src/pca.cpp CV_Assert( !mean.empty() && !eigenvectors.empty() && eigenvectors 326 modules/core/src/pca.cpp ((mean.rows == 1 && eigenvectors.rows == data.cols) || eigenvectors 327 modules/core/src/pca.cpp (mean.cols == 1 && eigenvectors.rows == data.rows))); eigenvectors 334 modules/core/src/pca.cpp gemm( tmp_data, eigenvectors, 1, tmp_mean, 1, result, 0 ); eigenvectors 339 modules/core/src/pca.cpp gemm( eigenvectors, tmp_data, 1, tmp_mean, 1, result, GEMM_1_T ); eigenvectors 353 modules/core/src/pca.cpp OutputArray eigenvectors, int maxComponents) eigenvectors 358 modules/core/src/pca.cpp pca.eigenvectors.copyTo(eigenvectors); eigenvectors 362 modules/core/src/pca.cpp OutputArray eigenvectors, double retainedVariance) eigenvectors 367 modules/core/src/pca.cpp pca.eigenvectors.copyTo(eigenvectors); eigenvectors 371 modules/core/src/pca.cpp InputArray eigenvectors, OutputArray result) eigenvectors 375 modules/core/src/pca.cpp pca.eigenvectors = eigenvectors.getMat(); eigenvectors 380 modules/core/src/pca.cpp InputArray eigenvectors, OutputArray result) eigenvectors 384 modules/core/src/pca.cpp pca.eigenvectors = eigenvectors.getMat(); eigenvectors 363 modules/core/test/test_mat.cpp Mat r0 = rPCA.eigenvectors.row(i); eigenvectors 373 modules/core/test/test_mat.cpp absdiff(rPCA.eigenvectors, subEvec, tmp); eigenvectors 379 modules/core/test/test_mat.cpp mval, mloc.y, mloc.x, rPCA.eigenvectors.at<float>(mloc.y, mloc.x), eigenvectors 435 modules/core/test/test_mat.cpp if( cPCA.eigenvectors.rows > maxComponents) eigenvectors 438 modules/core/test/test_mat.cpp err = cvtest::norm(cv::abs(rvPrjTestPoints), cv::abs(rPrjTestPoints.colRange(0,cPCA.eigenvectors.rows).t()), CV_RELATIVE_L2 ); eigenvectors 521 modules/core/test/test_mat.cpp err = cvtest::norm( rPCA.eigenvectors, lPCA.eigenvectors, CV_RELATIVE_L2 ); eigenvectors 116 samples/cpp/pca.cpp cout << "done! # of principal components: " << p->pca.eigenvectors.rows << endl; eigenvectors 73 samples/cpp/tutorial_code/ml/introduction_to_pca/introduction_to_pca.cpp eigen_vecs[i] = Point2d(pca_analysis.eigenvectors.at<double>(i, 0), eigenvectors 74 samples/cpp/tutorial_code/ml/introduction_to_pca/introduction_to_pca.cpp pca_analysis.eigenvectors.at<double>(i, 1));