/*M/////////////////////////////////////////////////////////////////////////////////////// // // IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. // // By downloading, copying, installing or using the software you agree to this license. // If you do not agree to this license, do not download, install, // copy or use the software. // // // License Agreement // For Open Source Computer Vision Library // // Copyright (C) 2000-2008, Intel Corporation, all rights reserved. // Copyright (C) 2009, Willow Garage Inc., all rights reserved. // Copyright (C) 2014, OpenCV Foundation, all rights reserved. // Third party copyrights are property of their respective owners. // // Redistribution and use in source and binary forms, with or without modification, // are permitted provided that the following conditions are met: // // * Redistribution's of source code must retain the above copyright notice, // this list of conditions and the following disclaimer. // // * Redistribution's in binary form must reproduce the above copyright notice, // this list of conditions and the following disclaimer in the documentation // and/or other materials provided with the distribution. // // * The name of the copyright holders may not be used to endorse or promote products // derived from this software without specific prior written permission. // // This software is provided by the copyright holders and contributors "as is" and // any express or implied warranties, including, but not limited to, the implied // warranties of merchantability and fitness for a particular purpose are disclaimed. // In no event shall the Intel Corporation or contributors be liable for any direct, // indirect, incidental, special, exemplary, or consequential damages // (including, but not limited to, procurement of substitute goods or services; // loss of use, data, or profits; or business interruption) however caused // and on any theory of liability, whether in contract, strict liability, // or tort (including negligence or otherwise) arising in any way out of // the use of this software, even if advised of the possibility of such damage. // //M*/ #include "test_precomp.hpp" namespace opencv_test { namespace { class CV_RgbdDepthRegistrationTest: public cvtest::BaseTest { public: CV_RgbdDepthRegistrationTest() { } ~CV_RgbdDepthRegistrationTest() { } protected: void run(int) { // Test all three input types for no-op registrations (where a depth image is registered to itself) int code = noOpRandomRegistrationTest<unsigned short>(100, 2500); if( code != cvtest::TS::OK ) { ts->set_failed_test_info(code); return; } code = noOpRandomRegistrationTest<float>(0.1f, 2.5f); if( code != cvtest::TS::OK ) { ts->set_failed_test_info(code); return; } code = noOpRandomRegistrationTest<double>(0.1, 2.5); if( code != cvtest::TS::OK ) { ts->set_failed_test_info(code); return; } // Test sentinel value handling, occlusion, and dilation { // K from a VGA Kinect Mat K = (Mat_<float>(3, 3) << 525., 0., 319.5, 0., 525., 239.5, 0., 0., 1.); int width = 640, height = 480; // All elements are zero except for first two along the diagonal Mat_<unsigned short> vgaDepth(height, width, (unsigned short)0); vgaDepth(0,0) = 1001; vgaDepth(1,1) = 1000; Mat_<unsigned short> registeredDepth; registerDepth(K, K, Mat(), Matx44f::eye(), vgaDepth, Size(width, height), registeredDepth, true); // We expect the closer depth of 1000 to occlude the more distant depth and occupy the // upper four left pixels in the depth image because of dilation Mat_<unsigned short> expectedResult(height, width, (unsigned short)0); expectedResult(0,0) = 1000; expectedResult(0,1) = 1000; expectedResult(1,0) = 1000; expectedResult(1,1) = 1000; int cmpResult = cvtest::cmpEps2( ts, registeredDepth, expectedResult, 0, true, "Dilation and occlusion"); if( cmpResult != cvtest::TS::OK ) { ts->set_failed_test_info(cmpResult); return; } } ts->set_failed_test_info(cvtest::TS::OK); } private: template <class DepthDepth> int noOpRandomRegistrationTest(DepthDepth minDepth, DepthDepth maxDepth) { // K from a VGA Kinect Mat K = (Mat_<float>(3, 3) << 525., 0., 319.5, 0., 525., 239.5, 0., 0., 1.); // Create a random depth image RNG rng; Mat_<DepthDepth> randomVGADepth(480, 640); rng.fill(randomVGADepth, RNG::UNIFORM, minDepth, maxDepth); Mat registeredDepth; registerDepth(K, K, Mat(), Matx44f::eye(), randomVGADepth, Size(640, 480), registeredDepth); // See if registeredDepth == depth return cvtest::cmpEps2( ts, registeredDepth, randomVGADepth, 1e-5, true, "No-op registration"); } }; TEST(Rgbd_DepthRegistration, compute) { CV_RgbdDepthRegistrationTest test; test.safe_run(); } }} // namespace