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159 lines
6.0 KiB
159 lines
6.0 KiB
// |
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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) 2014, 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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// Author: Tolga Birdal <tbirdal AT gmail.com> |
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#include "opencv2/surface_matching.hpp" |
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#include <iostream> |
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#include "opencv2/surface_matching/ppf_helpers.hpp" |
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#include "opencv2/core/utility.hpp" |
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using namespace std; |
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using namespace cv; |
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using namespace ppf_match_3d; |
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static void help(const string& errorMessage) |
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{ |
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cout << "Program init error : "<< errorMessage << endl; |
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cout << "\nUsage : ppf_matching [input model file] [input scene file]"<< endl; |
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cout << "\nPlease start again with new parameters"<< endl; |
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} |
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int main(int argc, char** argv) |
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{ |
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// welcome message |
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cout << "****************************************************" << endl; |
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cout << "* Surface Matching demonstration : demonstrates the use of surface matching" |
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" using point pair features." << endl; |
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cout << "* The sample loads a model and a scene, where the model lies in a different" |
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" pose than the training.\n* It then trains the model and searches for it in the" |
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" input scene. The detected poses are further refined by ICP\n* and printed to the " |
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" standard output." << endl; |
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cout << "****************************************************" << endl; |
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if (argc < 3) |
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{ |
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help("Not enough input arguments"); |
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exit(1); |
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} |
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#if (defined __x86_64__ || defined _M_X64) |
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cout << "Running on 64 bits" << endl; |
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#else |
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cout << "Running on 32 bits" << endl; |
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#endif |
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#ifdef _OPENMP |
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cout << "Running with OpenMP" << endl; |
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#else |
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cout << "Running without OpenMP and without TBB" << endl; |
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#endif |
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string modelFileName = (string)argv[1]; |
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string sceneFileName = (string)argv[2]; |
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Mat pc = loadPLYSimple(modelFileName.c_str(), 1); |
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// Now train the model |
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cout << "Training..." << endl; |
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int64 tick1 = cv::getTickCount(); |
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ppf_match_3d::PPF3DDetector detector(0.025, 0.05); |
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detector.trainModel(pc); |
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int64 tick2 = cv::getTickCount(); |
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cout << endl << "Training complete in " |
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<< (double)(tick2-tick1)/ cv::getTickFrequency() |
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<< " sec" << endl << "Loading model..." << endl; |
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// Read the scene |
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Mat pcTest = loadPLYSimple(sceneFileName.c_str(), 1); |
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// Match the model to the scene and get the pose |
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cout << endl << "Starting matching..." << endl; |
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vector<Pose3DPtr> results; |
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tick1 = cv::getTickCount(); |
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detector.match(pcTest, results, 1.0/40.0, 0.05); |
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tick2 = cv::getTickCount(); |
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cout << endl << "PPF Elapsed Time " << |
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(tick2-tick1)/cv::getTickFrequency() << " sec" << endl; |
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//check results size from match call above |
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size_t results_size = results.size(); |
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cout << "Number of matching poses: " << results_size; |
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if (results_size == 0) { |
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cout << endl << "No matching poses found. Exiting." << endl; |
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exit(0); |
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} |
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// Get only first N results - but adjust to results size if num of results are less than that specified by N |
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size_t N = 2; |
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if (results_size < N) { |
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cout << endl << "Reducing matching poses to be reported (as specified in code): " |
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<< N << " to the number of matches found: " << results_size << endl; |
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N = results_size; |
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} |
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vector<Pose3DPtr> resultsSub(results.begin(),results.begin()+N); |
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// Create an instance of ICP |
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ICP icp(100, 0.005f, 2.5f, 8); |
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int64 t1 = cv::getTickCount(); |
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// Register for all selected poses |
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cout << endl << "Performing ICP on " << N << " poses..." << endl; |
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icp.registerModelToScene(pc, pcTest, resultsSub); |
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int64 t2 = cv::getTickCount(); |
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cout << endl << "ICP Elapsed Time " << |
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(t2-t1)/cv::getTickFrequency() << " sec" << endl; |
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cout << "Poses: " << endl; |
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// debug first five poses |
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for (size_t i=0; i<resultsSub.size(); i++) |
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{ |
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Pose3DPtr result = resultsSub[i]; |
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cout << "Pose Result " << i << endl; |
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result->printPose(); |
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if (i==0) |
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{ |
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Mat pct = transformPCPose(pc, result->pose); |
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writePLY(pct, "para6700PCTrans.ply"); |
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} |
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} |
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return 0; |
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}
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