示例#1
0
float  cvCalcEMD( const float* signature1, int size1, const float* signature2, int size2,
                  int dims, int dist_type, CvDistanceFunction dist_func,
                  float* lower_bound, void* user_param)
{
    CvMat sign1 = cvMat( size1, dims + 1, CV_32FC1, (void*)signature1 );
    CvMat sign2 = cvMat( size2, dims + 1, CV_32FC1, (void*)signature2 );

    return cvCalcEMD2( &sign1, &sign2, dist_type, dist_func, 0, 0, lower_bound, user_param );
}
示例#2
0
float Histogram::calcEMD2(const Histogram* histogram1, const Histogram* histogram2, int distanceType)
{
    Signature* signature1 = histogram1->signature();
    Signature* signature2 = histogram2->signature();
    
    float emd2 = cvCalcEMD2(signature1, signature2, distanceType);
    
    cvRelease(&signature1);
    cvRelease(&signature2);
    
    return emd2;
}
示例#3
0
文件: emd.c 项目: DrahmA/HLearn
float emd_float(float *sig1, int len1, float *sig2, int len2, float *costmat)
{
    CvMat *s1=cvCreateMatHeader(len1,1,CV_32F),
          *s2=cvCreateMatHeader(len2,1,CV_32F),
          *c =cvCreateMatHeader(len1,len2,CV_32F);

    s1->data.fl=sig1;
    s2->data.fl=sig2;
    c->data.fl=costmat;

    float lb=1;

    float ret=cvCalcEMD2(s1,s2,CV_DIST_USER,NULL,c,NULL,NULL,NULL);

    cvReleaseMat(&s1);
    cvReleaseMat(&s2);
    cvReleaseMat(&c);
    return ret;
}
示例#4
0
文件: emd.cpp 项目: 112000/opencv
float cv::EMD( InputArray _signature1, InputArray _signature2,
               int distType, InputArray _cost,
               float* lowerBound, OutputArray _flow )
{
    Mat signature1 = _signature1.getMat(), signature2 = _signature2.getMat();
    Mat cost = _cost.getMat(), flow;

    CvMat _csignature1 = signature1;
    CvMat _csignature2 = signature2;
    CvMat _ccost = cost, _cflow;
    if( _flow.needed() )
    {
        _flow.create(signature1.rows, signature2.rows, CV_32F);
        flow = _flow.getMat();
        _cflow = flow;
    }

    return cvCalcEMD2( &_csignature1, &_csignature2, distType, 0, cost.empty() ? 0 : &_ccost,
                       _flow.needed() ? &_cflow : 0, lowerBound, 0 );
}
示例#5
0
    CvMat* sig2 = cvCreateMat(n, 3, CV_32FC1);

    foreach_idx(i, h1)
    {
      int row = i/histogram_cycle;
      int col = i%histogram_cycle;
      cvSet2D(sig1, i, 0, cvScalar(h1[i]));
      cvSet2D(sig1, i, 1, cvScalar(row));
      cvSet2D(sig1, i, 2, cvScalar(col));

      cvSet2D(sig2, i, 0, cvScalar(h2[i]));
      cvSet2D(sig2, i, 1, cvScalar(row));
      cvSet2D(sig2, i, 2, cvScalar(col));
    }

    double dist = cvCalcEMD2(sig1, sig2, CV_DIST_L2, 0, 0, 0, 0, 0);
    cvReleaseMat(&sig1);
    cvReleaseMat(&sig2);
    return dist;
  }

  double emd_distance(const std::vector<double>& h1, const std::vector<double>& h2,
                      int histogram_cycle)
  {
    int n = h1.size();
    ntk_assert((n%histogram_cycle)==0, "Not a multiple of cycle !!");

    int n_cycle = n/histogram_cycle;

    double global_dist = 0;
    for (int c = 0; c < n_cycle; ++c)
示例#6
0
// 利用EMD来度量两分布之间的相似性
// Do EMD and REPORT
int emd_compare(CvMat* sig1,CvMat* sig2){
	float emd = cvCalcEMD2(sig1, sig2, CV_DIST_L2);
	printf("%f;", emd);

	return 0;
}