65 lines
2.2 KiB
C++
65 lines
2.2 KiB
C++
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/*
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* Software License Agreement (BSD License)
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*
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* Copyright (c) 2009, Willow Garage, Inc.
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* All rights reserved.
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*
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* Redistribution and use in source and binary forms, with or without
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* modification, are permitted provided that the following conditions
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* are met:
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*
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* * Redistributions of source code must retain the above copyright
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* notice, this list of conditions and the following disclaimer.
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* * Redistributions in binary form must reproduce the above
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* copyright notice, this list of conditions and the following
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* disclaimer in the documentation and/or other materials provided
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* with the distribution.
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* * Neither the name of Willow Garage, Inc. nor the names of its
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* contributors may be used to endorse or promote products derived
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* from this software without specific prior written permission.
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*
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* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
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* "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
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* LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
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* FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
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* COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
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* INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
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* BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
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* LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
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* CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
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* LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN
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* ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
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* POSSIBILITY OF SUCH DAMAGE.
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*
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*/
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#include "test_precomp.hpp"
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namespace opencv_test { namespace {
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TEST(Sfm_conditioning, normalizePoints)
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{
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int n = 4;
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Mat_<double> points(2, n);
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points << 0, 0, 1, 1,
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0, 2, 1, 3;
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Mat_<double> T, normalized_points;
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normalizePoints( points, normalized_points, T );
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Mat_<double> mean, variance;
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meanAndVarianceAlongRows(normalized_points, mean, variance);
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EXPECT_NEAR(0, mean(0), 1e-8);
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EXPECT_NEAR(0, mean(1), 1e-8);
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EXPECT_NEAR(2, variance(0), 1e-8);
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EXPECT_NEAR(2, variance(1), 1e-8);
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}
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TEST(Sfm_conditioning, normalizeIsotropicPoints)
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{
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//TODO: implement me
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}
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}} // namespace
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