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Use Eigen::SelfAdjointEigenSolver in cv::eigen
This commit is contained in:
committed by
Alexander Alekhin
parent
a3ec2ac3c5
commit
611cf8d86f
@@ -59,7 +59,7 @@ using namespace std;
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#define MESSAGE_ERROR_DIFF_1 "Accuracy of eigen values computing less than required."
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#define MESSAGE_ERROR_DIFF_2 "Accuracy of eigen vectors computing less than required."
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#define MESSAGE_ERROR_ORTHO "Matrix of eigen vectors is not orthogonal."
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#define MESSAGE_ERROR_ORDER "Eigen values are not sorted in ascending order."
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#define MESSAGE_ERROR_ORDER "Eigen values are not sorted in descending order."
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const int COUNT_NORM_TYPES = 3;
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const int NORM_TYPE[COUNT_NORM_TYPES] = {cv::NORM_L1, cv::NORM_L2, cv::NORM_INF};
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@@ -257,7 +257,7 @@ bool Core_EigenTest::check_pairs_order(const cv::Mat& eigen_values)
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if (!(eigen_values.at<float>(i, 0) > eigen_values.at<float>(i+1, 0)))
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{
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std::cout << endl; std::cout << "Checking order of eigen values vector " << eigen_values << "..." << endl;
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std::cout << "Pair of indexes with non ascending of eigen values: (" << i << ", " << i+1 << ")." << endl;
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std::cout << "Pair of indexes with non descending of eigen values: (" << i << ", " << i+1 << ")." << endl;
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std::cout << endl;
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CV_Error(CORE_EIGEN_ERROR_ORDER, MESSAGE_ERROR_ORDER);
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return false;
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@@ -272,9 +272,9 @@ bool Core_EigenTest::check_pairs_order(const cv::Mat& eigen_values)
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if (!(eigen_values.at<double>(i, 0) > eigen_values.at<double>(i+1, 0)))
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{
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std::cout << endl; std::cout << "Checking order of eigen values vector " << eigen_values << "..." << endl;
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std::cout << "Pair of indexes with non ascending of eigen values: (" << i << ", " << i+1 << ")." << endl;
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std::cout << "Pair of indexes with non descending of eigen values: (" << i << ", " << i+1 << ")." << endl;
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std::cout << endl;
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CV_Error(CORE_EIGEN_ERROR_ORDER, "Eigen values are not sorted in ascending order.");
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CV_Error(CORE_EIGEN_ERROR_ORDER, "Eigen values are not sorted in descending order.");
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return false;
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}
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