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146 lines
6.0 KiB
146 lines
6.0 KiB
/*M/////////////////////////////////////////////////////////////////////////////////////// |
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// |
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. |
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// |
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// By downloading, copying, installing or using the software you agree to this license. |
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// If you do not agree to this license, do not download, install, |
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// copy or use the software. |
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// |
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// |
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// License Agreement |
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// For Open Source Computer Vision Library |
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// |
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// Copyright (C) 2015, OpenCV Foundation, all rights reserved. |
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// Third party copyrights are property of their respective owners. |
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// |
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// Redistribution and use in source and binary forms, with or without modification, |
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// are permitted provided that the following conditions are met: |
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// |
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// * Redistribution's of source code must retain the above copyright notice, |
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// this list of conditions and the following disclaimer. |
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// |
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// * Redistribution's in binary form must reproduce the above copyright notice, |
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// this list of conditions and the following disclaimer in the documentation |
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// and/or other materials provided with the distribution. |
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// |
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// * The name of the copyright holders may not be used to endorse or promote products |
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// derived 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 "as is" and |
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// any express or implied warranties, including, but not limited to, the implied |
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// warranties of merchantability and fitness for a particular purpose are disclaimed. |
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// In no event shall the Intel Corporation or contributors be liable for any direct, |
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// indirect, incidental, special, exemplary, or consequential damages |
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// (including, but not limited to, procurement of substitute goods or services; |
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// loss of use, data, or profits; or business interruption) however caused |
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// and on any theory of liability, whether in contract, strict liability, |
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// or tort (including negligence or otherwise) arising in any way out of |
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// the use of this software, even if advised of the possibility of such damage. |
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// |
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//M*/ |
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#include <opencv2/structured_light/graycodepattern.hpp> |
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#include <opencv2/structured_light/sinusoidalpattern.hpp> |
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#include <opencv2/imgcodecs.hpp> |
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#include "test_precomp.hpp" |
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using namespace std; |
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using namespace cv; |
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const string STRUCTURED_LIGHT_DIR = "structured_light"; |
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const string FOLDER_DATA = "data"; |
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TEST( SinusoidalPattern, unwrapPhaseMap ) |
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{ |
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string folder = cvtest::TS::ptr()->get_data_path() + "/" + STRUCTURED_LIGHT_DIR + "/" + FOLDER_DATA + "/"; |
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structured_light::SinusoidalPattern::Params paramsPsp, paramsFtp, paramsFaps; |
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paramsFtp.methodId = 0; |
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paramsPsp.methodId = 1; |
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paramsFaps.methodId = 2; |
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Ptr<structured_light::SinusoidalPattern> sinusPsp = structured_light::SinusoidalPattern::create(paramsPsp); |
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Ptr<structured_light::SinusoidalPattern> sinusFtp = structured_light::SinusoidalPattern::create(paramsFtp); |
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Ptr<structured_light::SinusoidalPattern> sinusFaps = structured_light::SinusoidalPattern::create(paramsFaps); |
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vector<Mat> captures(3); |
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Mat unwrappedPhaseMapPspRef, unwrappedPhaseMapFtpRef, unwrappedPhaseMapFapsRef; |
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Mat shadowMask; |
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Mat wrappedPhaseMap, unwrappedPhaseMap, unwrappedPhaseMap8; |
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captures[0] = imread(folder + "capture_sin_0.jpg", IMREAD_GRAYSCALE); |
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captures[1] = imread(folder + "capture_sin_1.jpg", IMREAD_GRAYSCALE); |
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captures[2] = imread(folder + "capture_sin_2.jpg", IMREAD_GRAYSCALE); |
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unwrappedPhaseMapPspRef = imread(folder + "unwrappedPspTest.jpg", IMREAD_GRAYSCALE); |
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unwrappedPhaseMapFtpRef = imread(folder + "unwrappedFtpTest.jpg", IMREAD_GRAYSCALE); |
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unwrappedPhaseMapFapsRef = imread(folder + "unwrappedFapsTest.jpg", IMREAD_GRAYSCALE); |
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if( !captures[0].data || !captures[1].data || !captures[2].data || !unwrappedPhaseMapFapsRef.data |
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|| !unwrappedPhaseMapFtpRef.data || !unwrappedPhaseMapPspRef.data ) |
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{ |
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cerr << "invalid test data" << endl; |
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} |
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sinusPsp->computePhaseMap(captures, wrappedPhaseMap, shadowMask); |
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sinusPsp->unwrapPhaseMap(wrappedPhaseMap, unwrappedPhaseMap, Size(captures[0].cols, captures[1].rows), shadowMask); |
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unwrappedPhaseMap.convertTo(unwrappedPhaseMap8, CV_8U, 1, 128); |
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int sumOfDiff = 0; |
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int count = 0; |
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float ratio = 0; |
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for( int i = 0; i < unwrappedPhaseMap8.rows; ++i ) |
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{ |
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for( int j = 0; j < unwrappedPhaseMap8.cols; ++j ) |
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{ |
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int ref = unwrappedPhaseMapPspRef.at<uchar>(i, j); |
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int comp = unwrappedPhaseMap8.at<uchar>(i, j); |
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sumOfDiff += (ref - comp); |
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count ++; |
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} |
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} |
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ratio = (float)(sumOfDiff / count); |
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EXPECT_LE( ratio, 0.003 ); |
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sinusFtp->computePhaseMap(captures, wrappedPhaseMap, shadowMask); |
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sinusFtp->unwrapPhaseMap(wrappedPhaseMap, unwrappedPhaseMap, Size(captures[0].cols, captures[1].rows), shadowMask); |
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unwrappedPhaseMap.convertTo(unwrappedPhaseMap8, CV_8U, 1, 128); |
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sumOfDiff = 0; |
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count = 0; |
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ratio = 0; |
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for( int i = 0; i < unwrappedPhaseMap8.rows; ++i ) |
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{ |
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for( int j = 0; j < unwrappedPhaseMap8.cols; ++j ) |
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{ |
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int ref = unwrappedPhaseMapFtpRef.at<uchar>(i, j); |
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int comp = unwrappedPhaseMap8.at<uchar>(i, j); |
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sumOfDiff += (ref - comp); |
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count ++; |
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} |
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} |
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ratio = (float)(sumOfDiff / count); |
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EXPECT_LE( ratio, 0.003 ); |
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sinusFaps->computePhaseMap(captures, wrappedPhaseMap, shadowMask); |
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sinusFaps->unwrapPhaseMap(wrappedPhaseMap, unwrappedPhaseMap, Size(captures[0].cols, captures[1].rows), shadowMask); |
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unwrappedPhaseMap.convertTo(unwrappedPhaseMap8, CV_8U, 1, 128); |
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sumOfDiff = 0; |
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count = 0; |
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ratio = 0; |
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for( int i = 0; i < unwrappedPhaseMap8.rows; ++i ) |
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{ |
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for( int j = 0; j < unwrappedPhaseMap8.cols; ++j ) |
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{ |
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int ref = unwrappedPhaseMapFapsRef.at<uchar>(i, j); |
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int comp = unwrappedPhaseMap8.at<uchar>(i, j); |
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sumOfDiff += (ref - comp); |
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count ++; |
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} |
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} |
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ratio = (float)(sumOfDiff / count); |
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EXPECT_LE( ratio, 0.003 ); |
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}
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