Example #1
0
int main() {
        double first;
        int i;

        printf("Clock sqew test\n");
        for ( i = 0; i < 30; i++){
                first = sqew();
                printf("sqew %f \n",first);
                sleep(few_seconds);
        }
	by_now();
}
Example #2
0
void Homography::
findBestDecomposition()
{
  assert(decompositions.size() == 8);
  for(size_t i=0; i<decompositions.size(); i++)
  {
    HomographyDecomposition &decom = decompositions[i];
    size_t nPositive = 0;
    for(size_t m=0; m<fts_c1.size(); m++)
    {
      if(!inliers[m])
        continue;
      const Vector2d& v2 = fts_c1[m];
      double dVisibilityTest = (H_c2_from_c1(2,0) * v2[0] + H_c2_from_c1(2,1) * v2[1] + H_c2_from_c1(2,2)) / decom.d;
      if(dVisibilityTest > 0.0)
        nPositive++;
    }
    decom.score = -nPositive;
  }

  sort(decompositions.begin(), decompositions.end());
  decompositions.resize(4);

  for(size_t i=0; i<decompositions.size(); i++)
  {
    HomographyDecomposition &decom = decompositions[i];
    int nPositive = 0;
    for(size_t m=0; m<fts_c1.size(); m++)
    {
      if(!inliers[m])
        continue;
      Vector3d v3 = unproject2d(fts_c1[m]);
      double dVisibilityTest = v3.dot(decom.n) / decom.d;
      if(dVisibilityTest > 0.0)
        nPositive++;
    };
    decom.score = -nPositive;
  }

  sort(decompositions.begin(), decompositions.end());
  decompositions.resize(2);

  // According to Faugeras and Lustman, ambiguity exists if the two scores are equal
  // but in practive, better to look at the ratio!
  double dRatio = (double) decompositions[1].score / (double) decompositions[0].score;

  if(dRatio < 0.9) // no ambiguity!
    decompositions.erase(decompositions.begin() + 1);
  else  // two-way ambiguity. Resolve by sampsonus score of all points.
  {
    double dErrorSquaredLimit  = thresh * thresh * 4;
    double adSampsonusScores[2];
    for(size_t i=0; i<2; i++)
    {
      Sophus::SE3 T = decompositions[i].T;
      Matrix3d Essential = T.rotationMatrix() * sqew(T.translation());
      double dSumError = 0;
      for(size_t m=0; m < fts_c1.size(); m++ )
      {
        double d = sampsonusError(fts_c1[m], Essential, fts_c2[m]);
        if(d > dErrorSquaredLimit)
          d = dErrorSquaredLimit;
        dSumError += d;
      }
      adSampsonusScores[i] = dSumError;
    }

    if(adSampsonusScores[0] <= adSampsonusScores[1])
      decompositions.erase(decompositions.begin() + 1);
    else
      decompositions.erase(decompositions.begin());
  }
}