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improved accuracy of 3x3 invert on poorly-conditioned matrices (bug #2525)

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This commit is contained in:
Vadim Pisarevsky
2012-11-08 14:09:43 +04:00
parent 6484732509
commit 9163471987
2 changed files with 28 additions and 54 deletions
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15
modules/core/test/test_math.cpp
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@@ -2453,6 +2453,21 @@ REGISTER_TYPED_TEST_CASE_P(Core_CheckRange, Negative, Positive, Bounds, Zero);
typedef ::testing::Types<signed char,unsigned char, signed short, unsigned short, signed int> mat_data_types;
INSTANTIATE_TYPED_TEST_CASE_P(Negative_Test, Core_CheckRange, mat_data_types);
TEST(Core_Invert, small)
{
cv::Mat a = (cv::Mat_<float>(3,3) << 2.42104644730331, 1.81444796521479, -3.98072565304758, 0, 7.08389214348967e-3, 5.55326770986007e-3, 0,0, 7.44556154284261e-3);
//cv::randu(a, -1, 1);
cv::Mat b = a.t()*a;
cv::Mat c, i = Mat_<float>::eye(3, 3);
cv::invert(b, c, cv::DECOMP_LU); //std::cout << b*c << std::endl;
ASSERT_LT( cv::norm(b*c, i, CV_C), 0.1 );
cv::invert(b, c, cv::DECOMP_SVD); //std::cout << b*c << std::endl;
ASSERT_LT( cv::norm(b*c, i, CV_C), 0.1 );
cv::invert(b, c, cv::DECOMP_CHOLESKY); //std::cout << b*c << std::endl;
ASSERT_LT( cv::norm(b*c, i, CV_C), 0.1 );
}
/////////////////////////////////////////////////////////////////////////////////////////////////////
TEST(Core_CovarMatrix, accuracy) { Core_CovarMatrixTest test; test.safe_run(); }