/// Constructor, initializing \c logalpha0_
HomographyModel::HomographyModel(const Mat &x1, int w1, int h1,
const Mat &x2, int w2, int h2,
bool symError)
: OrsaModel(x1, w1, h1, x2, w2, h2), symError_(symError) {
logalpha0_[0] = log10(M_PI/(w1*(double)h1) /(N1_(0,0)*N1_(0,0)));
logalpha0_[1] = log10(M_PI/(w2*(double)h2) /(N2_(0,0)*N2_(0,0)));
}
/// Constructor, computing logalpha0_
FundamentalModel::FundamentalModel(const Mat &x1, int w1, int h1,
const Mat &x2, int w2, int h2,
bool symError)
: OrsaModel(x1, w1, h1, x2, w2, h2), symError_(symError) {
double D, A; // Diameter and area of image
D = sqrt(w1*(double)w1 + h1*(double)h1);
A = w1*(double)h1;
logalpha0_[0] = log10(2.0*D/A /N1_(0,0));
D = sqrt(w2*(double)w2 + h2*(double)h2);
A = w2*(double)h2;
logalpha0_[1] = log10(2.0*D/A /N2_(0,0));
}
std::vector<double> SOElement::getc(std::size_t ielem) const
{
auto const xl = coords_[lnods_[ielem][1]] - coords_[lnods_[ielem][0]];
std::vector<double> c(ntnoel_);
c[0] = gl_.qgauss(
myfunctional::make_functional(
[this, ielem](double r)
{ return - N1_(r) * func_(N1_(r) * coords_[lnods_[ielem][0]] + N2_(r) * coords_[lnods_[ielem][1]] + N3_(r) * coords_[lnods_[ielem][2]]); }),
-1.0,
1.0) * xl * 0.5;
c[1] = gl_.qgauss(
myfunctional::make_functional([this, ielem](double r)
{ return - N2_(r) * func_(N1_(r) * coords_[lnods_[ielem][0]] + N2_(r) * coords_[lnods_[ielem][1]] + N3_(r) * coords_[lnods_[ielem][2]]); }),
-1.0,
1.0) * xl * 0.5;
c[2] = gl_.qgauss(
myfunctional::make_functional([this, ielem](double r)
{ return - N3_(r) * func_(N1_(r) * coords_[lnods_[ielem][0]] + N2_(r) * coords_[lnods_[ielem][1]] + N3_(r) * coords_[lnods_[ielem][2]]); }),
-1.0,
1.0) * xl * 0.5;
return c;
}
/// Denormalize error, recover real error in pixels.
double OrsaModel::denormalizeError(double squareError, int side) const {
return sqrt(squareError)/(side==0? N1_(0,0): N2_(0,0));
}
double unormalizeError(double val) const {return sqrt(val) / N1_(0,0);}
