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- //
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- //
- // 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.
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- // This software is provided by the copyright holders and contributors "as is" and
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- // loss of use, data, or profits; or business interruption) however caused
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- // the use of this software, even if advised of the possibility of such damage.
- //
- // Author: Tolga Birdal <tbirdal AT gmail.com>
- #include "opencv2/surface_matching.hpp"
- #include <iostream>
- #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<Pose3DPtr> 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<Pose3DPtr> 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; i<resultsSub.size(); i++)
- {
- Pose3DPtr result = resultsSub[i];
- cout << "Pose Result " << i << endl;
- result->printPose();
- if (i==0)
- {
- Mat pct = transformPCPose(pc, result->pose);
- writePLY(pct, "para6700PCTrans.ply");
- }
- }
-
- return 0;
-
- }
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