source: proiecte/pmake3d/make3d_original/Make3dSingleImageStanford_version0.1/third_party/SURF-V1.0.8/match.cpp @ 37

/*
 * Speeded-Up Robust Features (SURF)
 * http://people.ee.ethz.ch/~surf
 *
 * Sample application for feature matching using nearest-neighbor
 * ratio method.
 *
 * BUILD USING "make match.ln".
 *
 * Author: Andreas Ess
 *
 * Copyright (2006): ETH Zurich, Switzerland
 * Katholieke Universiteit Leuven, Belgium
 * All rights reserved.
 *
 * For details, see the paper:
 * Herbert Bay,  Tinne Tuytelaars,  Luc Van Gool,
 *  "SURF: Speeded Up Robust Features"
 * Proceedings of the ninth European Conference on Computer Vision, May 2006
 *
 * Permission to use, copy, modify, and distribute this software and
 * its documentation for educational, research, and non-commercial
 * purposes, without fee and without a signed licensing agreement, is
 * hereby granted, provided that the above copyright notice and this
 * paragraph appear in all copies modifications, and distributions.
 *
 * Any commercial use or any redistribution of this software
 * requires a license from one of the above mentioned establishments.
 *
 * For further details, contact Andreas Ess (aess@vision.ee.ethz.ch).
 */

#include <vector>
#include <string>
#include <iostream>
#include <fstream>
#include <cmath>

#include "ipoint.h"

// Define to compile with PGM output
#define GRAPHICS

#ifdef GRAPHICS
#include "image.h"
#include "imload.h"
#endif

using namespace std;
using namespace surf;

// Length of descriptor vector, ugly, global variable
unsigned int vlen;

// Calculate square distance of two vectors
double distSquare(double *v1, double *v2, int n) {
        double dsq = 0.;
        while (n--) {
                dsq += (*v1 - *v2) * (*v1 - *v2);
                v1++;
                v2++;
        }
        return dsq;
}

// Find closest interest point in a list, given one interest point
int findMatch(const Ipoint& ip1, const vector< Ipoint >& ipts) {
        double mind = 1e100, second = 1e100;
        int match = -1;

        for (unsigned i = 0; i < ipts.size(); i++) {
                // Take advantage of Laplacian to speed up matching
                if (ipts[i].laplace != ip1.laplace)
                        continue;

                double d = distSquare(ipts[i].ivec, ip1.ivec, vlen);

                if (d < mind) {
                        second = mind;
                        mind = d;
                        match = i;
                } else if (d < second) {
                        second = d;
                }
        }

        if (mind < 0.7 * second) //0.8
                return match;

        return -1;
}

vector <int> jeffsMatches(const vector< Ipoint >& ipts1, const vector< Ipoint >& ipts2) {
  vector< int > bestIndex1(ipts1.size());
  vector< int > bestIndex2(ipts2.size());
  vector< double > bestScore1(ipts1.size());
  vector< double > bestScore2(ipts2.size());
  vector< double > secondScore1(ipts1.size());
  vector< double > secondScore2(ipts2.size());

  for (unsigned int i = 0; i < ipts1.size(); i++) {
    bestIndex1[i] = -1;
    bestScore1[i]= 1e100;
    secondScore1[i] = 1e100;
  }
  for (unsigned int j = 0; j < ipts2.size(); j++) {
    bestIndex2[j] = -1;
    bestScore2[j]= 1e100;
    secondScore2[j] = 1e100;
  }

  int total = 0;
  for (unsigned int i = 0; i < ipts1.size(); i++) {
    for (unsigned int j = 0; j < ipts2.size(); j++) {
      //record best and second best scores and best index for each
      //point in each image
      double dist = distSquare(ipts1[i].ivec, ipts2[j].ivec, vlen);
      if (dist < 0.3) {
        //cout << " Matched feature " << i << " in image 1 with feature "
        //     << j << " in image 2." << endl;
        //total++;
      }
      if (dist < bestScore1[i]) {
        bestIndex1[i] = j;
        secondScore1[i] = bestScore1[i];
        bestScore1[i] = dist;
      } else if (dist < secondScore1[i]) {
        secondScore1[i] = dist;
      }

      if (dist < bestScore2[j]) {
        bestIndex2[j] = i;
        secondScore2[j] = bestScore2[j];
        bestScore2[j] = dist;
      } else if (dist < secondScore2[j]) {
        secondScore2[j] = dist;
      }
    }
  }
  //cout << "Matched " << total << " points." << endl;
  //return bestIndex1; //for threshold

  
  //update second scores with best match from same image (for image 1)
  for (unsigned int i = 0; i < ipts1.size(); i++) {
    for (unsigned int j = i+1; j < ipts1.size(); j++) { 
      double dist = distSquare(ipts1[i].ivec, ipts1[j].ivec, vlen);
      if (dist < secondScore1[i]){// && dist < 0.3) {
        //cout << "im1 point " << i << " best: " << bestScore1[i] << " second: " << secondScore1[i] << 
        //  "im1 point " << j << ": " << dist << endl;
        secondScore1[i] = dist;
      }
    }
  }

  //update second scores with best match from same image (for image 2)
  for (unsigned int i = 0; i < ipts2.size(); i++) {
    for (unsigned int j = i+1; j < ipts2.size(); j++) { 
      double dist = distSquare(ipts2[i].ivec, ipts2[j].ivec, vlen);
      if (dist < secondScore2[j]){// && dist < 0.3){
        //cout << "im2 point " << i << " best: " << bestScore2[i] << " second: " << secondScore2[i] << 
        //  "im2 point " << j << ": " << dist << endl;
        secondScore2[i] = dist;
      }
    }
  }
  

  //if the best score is no longer the best or isn't good enough relative
  // to the second, kill the index

  //image 1
  for (unsigned int i = 0; i < ipts1.size(); i++) {
    if (secondScore1[i] * 0.85 < bestScore1[i]) {
      bestIndex1[i] = -1;
    }
  }

  //image 2
  for (unsigned int i = 0; i < ipts2.size(); i++) {
    if (secondScore2[i] * 0.85 < bestScore2[i]) {
      bestIndex2[i] = -1;
    }
  }

  //if the best matches aren't mutual, kill the match

  for (unsigned int i = 0; i < ipts1.size(); i++) {
    int index = bestIndex1[i];
    if (index != -1) {
      if (bestIndex2[index] != i) {
        //cout << "Non symetric match.  im1(" << i << ")->" << index << " but im2(" << index <<
        //  ")->" << bestIndex2[index] << endl;
        bestIndex1[i] = -1;
      } else {
        cout << " Matched feature " << i << " in image 1 with feature "
             << index << " in image 2." << endl;
        total++;
      }
    }
  }

  cout << "Matched " << total << " points." << endl;
  return bestIndex1;
}

// Find all possible matches between two images
vector< int > findMatches(const vector< Ipoint >& ipts1, const vector< Ipoint >& ipts2) {
        vector< int > matches(ipts1.size());
        int c = 0;
        for (unsigned i = 0; i < ipts1.size(); i++) {
                int match = findMatch(ipts1[i], ipts2);
                matches[i] = match;
                if (match != -1) {
                        cout << " Matched feature " << i << " in image 1 with feature "
                                << match << " in image 2." << endl;
                        c++;
                }
        }
        cout << " --> Matched " << c << " features of " << ipts1.size() << " in image 1." << endl;
        return matches;
}

// Load the interest points from a regular ASCII file
void loadIpoints(string sFileName, vector< Ipoint >& ipts) {
        ifstream ipfile(sFileName.c_str());
        if( !ipfile ) {
                cerr << "ERROR in loadIpoints(): "
                        << "Couldn't open file '" << sFileName.c_str() << "'!" << endl;
                return;
        }

        // Load the file header
        unsigned count;
        ipfile >> vlen >> count;

        // create a new interest point vector
        ipts.clear();
        ipts.resize(count);

        // Load the interest points in Mikolajczyk's format
        for (unsigned n = 0; n < count; n++) {
                // circular regions with diameter 5 x scale
                float x, y, a, b, c;

                // Read in region data, though not needed for actual matching
                ipfile >> x >> y >> a >> b >> c;

                float det = sqrt((a-c)*(a-c) + 4.0*b*b);
                float e1 = 0.5*(a+c + det);
                float e2 = 0.5*(a+c - det);
                float l1 = (1.0/sqrt(e1));
                float l2 = (1.0/sqrt(e2));
                float sc = sqrt( l1*l2 );

                ipts[n].x = x;
                ipts[n].y = y;
                ipts[n].scale = sc/2.5;

                // Read in Laplacian
                ipfile >> ipts[n].laplace;

                // SURF makes Laplacian part of descriptor, so skip it..
                ipts[n].ivec = new double[vlen - 1];
                for (unsigned j = 0; j < vlen - 1; j++)
                        ipfile >> ipts[n].ivec[j];
        }
}

void drawLine(Image *im, int x1, int y1, int x2, int y2) {
        if ((x1 < 0 && x2 < 0) || (y1 < 0 && y2 < 0) ||
            (x1 >= im->getWidth() && x2 >= im->getWidth()) ||
            (y1 >= im->getHeight() && y2 >= im->getHeight()))
                return;

        bool steep = std::abs(y2 - y1) > std::abs(x2 - x1);
        if (steep) {
                int t;
                t = x1;
                x1 = y1;
                y1 = t;
                t = y2;
                y2 = x2;
                x2 = t;
        }

        if (x1 > x2) {
                // Swap points
                int t;
                t = x1;
                x1 = x2;
                x2 = t;
                t = y1;
                y1 = y2;
                y2 = t;
        }

        int deltax = x2 - x1;
        int deltay = std::abs(y2 - y1);

        int error = 0;
        int y = y1;
        int ystep = y1 < y2 ? 1 : -1;

        for (int x = x1; x < x2; x++) {
                if (steep) {
                        if (x >= 0 && y >= 0 && y < im->getWidth() && x < im->getHeight())
                                im->setPix(y, x, 1);
                } else {
                        if (x >= 0 && y >= 0 && x < im->getWidth() && y < im->getHeight())
                                im->setPix(x, y, 1);

                }
                error += deltay;

                if (2 * error > deltax) {
                        y += ystep;
                        error -= deltax;
                }
        }
}

void drawCross(Image *im, int x, int y, int s = 5) {
        for (int x1 = x - s; x1 <= x + s; x1++)
                im->setPix(x1, y, 1);
        for (int y1 = y - s; y1 <= y + s; y1++)
                im->setPix(x, y1, 1);
}

int main(int argc, char **argv) {
        Image *im1, *im2;
#ifdef GRAPHICS
        ImLoad ImageLoader;
        vector< Ipoint > ipts1, ipts2;
        bool drawc = false;
#endif
        char ofname[100];

        im1 = im2 = NULL;
        ofname[0] = 0;

        // Read the arguments
        int arg = 0;
        while (++arg < argc) { 
                if (! strcmp(argv[arg], "-k1"))
                        loadIpoints(argv[++arg], ipts1);
                if (! strcmp(argv[arg], "-k2"))
                        loadIpoints(argv[++arg], ipts2);
#ifdef GRAPHICS
                if (! strcmp(argv[arg], "-im1"))
                        im1 = ImageLoader.readImage(argv[++arg]); 
                if (! strcmp(argv[arg], "-im2"))
                        im2 = ImageLoader.readImage(argv[++arg]); 
                if (! strcmp(argv[arg], "-o"))
                        strcpy(ofname, argv[++arg]);
                if (! strcmp(argv[arg], "-c"))
                        drawc = true;
#endif
        }

        if (ipts1.size() == 0 || ipts2.size() == 0) {
                cout << "Usage:" << endl;
                cout << " match -k1 out1.surf -k2 out2.surf -im1 img1.pgm -im2 img2.pgm -o out.pgm" << endl << endl;
                cout << "For each feature in first descriptor file, find best in second according to "
                        << "nearest neighbor ratio strategy. Display matches in out.pgm, generated "
                        << "from img1.pgm and img2.pgm. Use -c to draw crosses at interest points." << endl;
                return 1;
        }

        //vector< int > matches = findMatches(ipts1, ipts2);
        vector< int > matches = jeffsMatches(ipts1, ipts2);

#ifdef GRAPHICS
        if (im1 != NULL && im2 != NULL && ofname[0] != 0) {
                Image res(max(im1->getWidth(), im2->getWidth()), im1->getHeight() + im2->getHeight());
                for (int x = 0; x < im1->getWidth(); x++)
                        for (int y = 0; y < im1->getHeight(); y++)
                                res.setPix(x, y, im1->getPix(x, y));
                for (int x = 0; x < im2->getWidth(); x++)
                        for (int y = 0; y < im2->getHeight(); y++)
                                res.setPix(x, y + im1->getHeight(), im2->getPix(x, y));

                // Draw lines for matches
                for (unsigned i = 0; i < matches.size(); i++) {
                        if (matches[i] != -1) {
                                drawLine(&res, (int)ipts1[i].x, (int)ipts1[i].y,
                                        (int)ipts2[matches[i]].x, (int)(ipts2[matches[i]].y + im1->getHeight()));
                        }
                }

                // Draw crosses at interest point locations
                if (drawc) {
                        for (unsigned i = 0; i < ipts1.size(); i++)
                                drawCross(&res, (int)ipts1[i].x, (int)ipts1[i].y);
                        for (unsigned i = 0; i < ipts2.size(); i++)
                                drawCross(&res, (int)ipts2[i].x, (int)ipts2[i].y + im1->getHeight());
                }

                ImageLoader.saveImage(ofname, &res);
        }
#endif
        
        return 0;
}