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