Debut Tests ASIFT + Essai VISP simplifié
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ASIFT_tests/demo_ASIFT_src/ASIFT_matcher.cpp
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ASIFT_tests/demo_ASIFT_src/ASIFT_matcher.cpp
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#include "ASIFT_matcher.hpp"
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ASIFT_matcher::ASIFT_matcher()
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{
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default_sift_parameters(_siftParam);
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}
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ASIFT_matcher::~ASIFT_matcher()
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{
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}
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bool ASIFT_matcher::addReference(const char* image, int num_tilts = 1)
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{
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///// Read input
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float * iarr1;
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size_t w1, h1;
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if (NULL == (iarr1 = read_png_f32_gray(image, &w1, &h1))) {
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std::cerr << "Unable to load image file " << image << std::endl;
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return false;
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}
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std::vector<float> ipixels1(iarr1, iarr1 + w1 * h1);
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free(iarr1); /*memcheck*/
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///// Resize the images to area wS*hW in remaining the apsect-ratio
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///// Resize if the resize flag is not set or if the flag is set unequal to 0
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float wS = IM_X;
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float hS = IM_Y;
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float zoom1=0;
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int wS1=0, hS1=0;
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vector<float> ipixels1_zoom;
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if(resize_imgs)
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{
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cout << "WARNING: The input image is resized to " << wS << "x" << hS << " for ASIFT. " << endl
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<< " But the results will be normalized to the original image size." << endl << endl;
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float InitSigma_aa = 1.6;
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float fproj_p, fproj_bg;
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char fproj_i;
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float *fproj_x4, *fproj_y4;
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int fproj_o;
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fproj_o = 3;
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fproj_p = 0;
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fproj_i = 0;
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fproj_bg = 0;
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fproj_x4 = 0;
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fproj_y4 = 0;
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float areaS = wS * hS;
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// Resize image 1
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float area1 = w1 * h1;
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zoom1 = sqrt(area1/areaS);
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wS1 = (int) (w1 / zoom1);
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hS1 = (int) (h1 / zoom1);
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int fproj_sx = wS1;
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int fproj_sy = hS1;
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float fproj_x1 = 0;
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float fproj_y1 = 0;
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float fproj_x2 = wS1;
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float fproj_y2 = 0;
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float fproj_x3 = 0;
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float fproj_y3 = hS1;
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/* Anti-aliasing filtering along vertical direction */
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if ( zoom1 > 1 )
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{
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float sigma_aa = InitSigma_aa * zoom1 / 2;
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GaussianBlur1D(ipixels1,w1,h1,sigma_aa,1);
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GaussianBlur1D(ipixels1,w1,h1,sigma_aa,0);
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}
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// simulate a tilt: subsample the image along the vertical axis by a factor of t.
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ipixels1_zoom.resize(wS1*hS1);
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fproj (ipixels1, ipixels1_zoom, w1, h1, &fproj_sx, &fproj_sy, &fproj_bg, &fproj_o, &fproj_p,
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&fproj_i , fproj_x1 , fproj_y1 , fproj_x2 , fproj_y2 , fproj_x3 , fproj_y3, fproj_x4, fproj_y4);
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}
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else
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{
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ipixels1_zoom.resize(w1*h1);
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ipixels1_zoom = ipixels1;
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wS1 = w1;
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hS1 = h1;
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zoom1 = 1;
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}
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// image new_ref;
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// new_ref.img = ipixels1_zoom;
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// new_ref.width = wS1;
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// new_ref.height = hS1;
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///// Compute ASIFT keypoints
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vector< vector< keypointslist > > keys;
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int num_keys = 0;
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time_t tstart, tend;
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tstart = time(0);
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num_keys = compute_asift_keypoints(ipixels1_zoom, wS1, hS1, num_tilts, _verb, keys, _siftParam);
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tend = time(0);
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//Save data
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_im_refs.push_back(ipixels1_zoom);
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_size_refs.push_back(make_pair(wS1,hS1));
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_num_keys.push_back(num_keys);
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_num_tilts.push_back(num_tilts);
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_keys.push_back(keys);
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_nb_refs++;
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cout<<"Reference built in "<< difftime(tend, tstart) << " seconds." << endl;
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cout<<" "<< num_keys <<" ASIFT keypoints found in "<< image << endl;
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return true;
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}
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bool ASIFT_matcher::match(const char* image, int num_tilts = 1)
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{
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if(_nb_refs<=0)
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{
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cout<<"ASIFT_matcher Error : Trying to match without reference"<<endl;
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return false;
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}
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///// Read input
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float * iarr1;
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size_t w1, h1;
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if (NULL == (iarr1 = read_png_f32_gray(image, &w1, &h1))) {
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std::cerr << "Unable to load image file " << image << std::endl;
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return 1;
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}
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std::vector<float> ipixels1(iarr1, iarr1 + w1 * h1);
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free(iarr1); /*memcheck*/
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///// Resize the images to area wS*hW in remaining the apsect-ratio
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///// Resize if the resize flag is not set or if the flag is set unequal to 0
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float wS = IM_X;
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float hS = IM_Y;
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float zoom1=0;
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int wS1=0, hS1=0;
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vector<float> ipixels1_zoom;
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if(resize_imgs)
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{
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cout << "WARNING: The input image is resized to " << wS << "x" << hS << " for ASIFT. " << endl
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<< " But the results will be normalized to the original image size." << endl << endl;
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float InitSigma_aa = 1.6;
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float fproj_p, fproj_bg;
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char fproj_i;
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float *fproj_x4, *fproj_y4;
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int fproj_o;
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fproj_o = 3;
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fproj_p = 0;
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fproj_i = 0;
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fproj_bg = 0;
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fproj_x4 = 0;
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fproj_y4 = 0;
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float areaS = wS * hS;
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// Resize image 1
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float area1 = w1 * h1;
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zoom1 = sqrt(area1/areaS);
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wS1 = (int) (w1 / zoom1);
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hS1 = (int) (h1 / zoom1);
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int fproj_sx = wS1;
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int fproj_sy = hS1;
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float fproj_x1 = 0;
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float fproj_y1 = 0;
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float fproj_x2 = wS1;
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float fproj_y2 = 0;
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float fproj_x3 = 0;
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float fproj_y3 = hS1;
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/* Anti-aliasing filtering along vertical direction */
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if ( zoom1 > 1 )
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{
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float sigma_aa = InitSigma_aa * zoom1 / 2;
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GaussianBlur1D(ipixels1,w1,h1,sigma_aa,1);
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GaussianBlur1D(ipixels1,w1,h1,sigma_aa,0);
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}
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// simulate a tilt: subsample the image along the vertical axis by a factor of t.
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ipixels1_zoom.resize(wS1*hS1);
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fproj (ipixels1, ipixels1_zoom, w1, h1, &fproj_sx, &fproj_sy, &fproj_bg, &fproj_o, &fproj_p,
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&fproj_i , fproj_x1 , fproj_y1 , fproj_x2 , fproj_y2 , fproj_x3 , fproj_y3, fproj_x4, fproj_y4);
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}
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else
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{
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ipixels1_zoom.resize(w1*h1);
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ipixels1_zoom = ipixels1;
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wS1 = w1;
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hS1 = h1;
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zoom1 = 1;
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}
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///// Compute ASIFT keypoints
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vector< vector< keypointslist > > keys;
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int num_keys = 0;
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time_t tstart, tend;
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tstart = time(0);
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num_keys = compute_asift_keypoints(ipixels1_zoom, wS1, hS1, num_tilts, _verb, keys, _siftParam);
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tend = time(0);
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cout << "Keypoints computation accomplished in " << difftime(tend, tstart) << " seconds." << endl;
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//// Match ASIFT keypoints
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int num_matchings;
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matchingslist matchings;
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_num_matchings.clear();
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_matchings.clear();
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for(unsigned int i = 0; i<_nb_refs;i++)
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{
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cout << "Matching the keypoints..." << endl;
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tstart = time(0);
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num_matchings = compute_asift_matches(num_tilts, _num_tilts[i], wS1, hS1, _size_refs[i].first, _size_refs[i].second, _verb, keys, _keys[i], matchings, _siftParam);
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tend = time(0);
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cout << "Keypoints matching accomplished in " << difftime(tend, tstart) << " seconds." << endl;
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_num_matchings.push_back(num_matchings);
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_matchings.push_back(matchings);
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}
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return true;
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}
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