medical_test.cpp
Go to the documentation of this file.
00001 /*
00002  * matching_test.cpp
00003  *
00004  *  Created on: Oct 17, 2010
00005  *      Author: ethan
00006  */
00007 
00008 #include "pano_core/ImageAtom.h"
00009 #include "pano_core/feature_utils.h"
00010 #include "pano_core/QuadTree.h"
00011 
00012 #include <opencv2/core/core.hpp>
00013 #include <opencv2/highgui/highgui.hpp>
00014 #include <opencv2/features2d/features2d.hpp>
00015 #include <opencv2/imgproc/imgproc.hpp>
00016 #include <iostream>
00017 #include <fstream>
00018 #include <list>
00019 #include <string>
00020 
00021 using namespace std;
00022 using namespace cv;
00023 using namespace pano;
00024 
00025 list<string> getImageList(istream& input)
00026 {
00027   list<string> imlist;
00028   while (!input.eof() && input.good())
00029   {
00030     string imname;
00031     input >> imname;
00032     if (!input.eof() && input.good())
00033       imlist.push_back(imname);
00034   }
00035   return imlist;
00036 }
00037 
00038 
00039 
00040 void estimateH(const cv::Mat& w, const cv::Mat& R, const cv::Mat& K, const cv::Mat& Kinv, cv::Mat& R_w,
00041                cv::Mat & R_new, cv::Mat& H)
00042 {
00043   Rodrigues(w, R_w);
00044   R_new = R_w * R;
00045   H = K * R_new * Kinv;
00046 }
00047 
00048 void getSmallImage(const cv::Mat& src, cv::Mat& dest, float factor = 10.0f)
00049 {
00050   resize(src, dest, Size(src.size().width / factor, src.size().height / factor), 0, 0, CV_INTER_AREA);
00051 }
00052 
00053 void getGradientImage(const cv::Mat& src, cv::Mat&dest)
00054 {
00055   Sobel(src, dest, CV_32F, 1, 1);
00056 }
00057 
00058 
00059 class ESM_data
00060 {
00061 public:
00062 
00063   ESM_data(const Mat&ref, const Mat& live, const Mat& K, const Mat& Kinv) :
00064     w_(Mat::zeros(3, 1, CV_32F)), R_(Mat::eye(3, 3, CV_32F)), R_new_(Mat::eye(3, 3, CV_32F)),
00065         H_(Mat::eye(3, 3, CV_32F)), grad_norm_(10.0e6), ref_(ref), live_(live), K_(K), Kinv_(Kinv)
00066   {
00067     getGradientImage(ref, grad_ref_);
00068   }
00069 
00070   void estimageRandH(Mat& R, Mat& H, int iters)
00071   {
00072 
00073   }
00074 private:
00075   void updateW()
00076   {
00077 
00078   }
00079   void updateWarp()
00080   {
00081     Rodrigues(w_, R_w_,w_jacobian_);
00082     R_new_ = R_w_ * R_;
00083     H_ = K_ * R_new_ * Kinv_;
00084     warpPerspective(live_, warped_, H_, live_.size());
00085   }
00086   void updateGradient()
00087   {
00088      grad_diff_ = grad_ref_ - grad_live_;
00089      multiply(grad_diff_, grad_diff_, grad_diff_);
00090      grad_norm_ = sum(grad_diff_)[0];
00091   }
00092 
00093   Mat w_;
00094   Mat w_jacobian_;
00095   Mat R_w_;
00096   Mat R_;
00097   Mat R_new_;
00098   Mat H_;
00099 
00100   Mat grad_diff_;
00101   Mat grad_ref_;
00102   Mat grad_live_;
00103   Mat warped_;
00104 
00105   float grad_norm_;
00106 
00107   static const Mat EYE;
00108   const Mat ref_;
00109   const Mat live_;
00110   const Mat K_;
00111   const Mat Kinv_;
00112 
00113 };
00114 
00115 const Mat ESM_data::EYE = Mat::eye(3, 3, CV_32F);
00116 
00117 int main(int ac, char ** av)
00118 {
00119 
00120   if (ac != 3)
00121   {
00122     cerr << "usage : " << av[0] << " directory imagelist.txt" << endl;
00123     return 1;
00124   }
00125 
00126   std::ifstream input(av[2]);
00127   std::string directory = av[1];
00128 
00129   cout << "directory " << directory << endl;
00130   std::list<string> img_names = getImageList(input);
00131 
00132   if (img_names.empty())
00133   {
00134     cerr << av[2] << "does not contain a list of images" << endl;
00135     return 1;
00136   }
00137   ImageAtom atom;
00138 
00139   atom.camera().setCameraIntrinsics("data/camera.yml");
00140   atom.images().load(img_names.back(), directory);
00141   img_names.pop_back();
00142 
00143   BriefDescriptorExtractor brief(32);
00144 
00145   Ptr<cv::AdjusterAdapter> adapter = new FastAdjuster();
00146   Ptr<FeatureDetector> detector(new DynamicAdaptedFeatureDetector( adapter, 400, 800, 20) );
00147 
00148   BruteForceMatcher<HammingLUT> matcher;
00149   atom.detect( *detector );
00150   atom.extract(brief,matcher);
00151 
00152 
00153   Mat frame;
00154 
00155   vector<DMatch> matches;
00156 
00157   //  SpatialPriorMatcher matcher;
00158   //  matcher.setMatcher(new BruteForceMatcher<HammingLUT>(),true);
00159 
00160 
00161   Features train = atom.features();
00162   //matcher.addFeatures(&train);
00163 
00164   atom.draw(&frame, ImageAtom::DRAW_FEATURES);
00165   imshow("frame", frame);
00166   waitKey();
00167 
00168   BruteForceMatcher<HammingLUT> desc_matcher;
00169 
00170   Mat ref, live;
00171 
00172   getSmallImage(atom.images().src(), ref);
00173 
00174   while (!img_names.empty())
00175   {
00176 
00177     string image_name = img_names.back();
00178     img_names.pop_back();
00179 
00180     atom.images().load(image_name, directory);
00181     getSmallImage(atom.images().grey(), live);
00182 
00183     ESM_data esm(ref, live, atom.camera().K(), atom.camera().Kinv());
00184 
00185 
00186     waitKey(1000);
00187 
00188   }
00189   return 0;
00190 }


pano_core
Author(s): Ethan Rublee
autogenerated on Wed Aug 26 2015 16:34:01