/// <summary>
/// Интерполирование найденных Гессианов соседей 3x3x3
/// </summary>
void interpolateExtremum(int r, int c, ResponseLayer t, ResponseLayer m, ResponseLayer b)
{
Matrix D = Matrix.Create(BuildDerivative(r, c, t, m, b));
Matrix H = Matrix.Create(BuildHessian(r, c, t, m, b));
Matrix Hi = H.Inverse();
Matrix Of = -1 * Hi * D;
double[] O = { Of[0, 0], Of[1, 0], Of[2, 0] };
// шаг между фильтрами
int filterStep = (m.filter - b.filter);
// если точка достаточно близка к фактическому экстремуму
if (Math.Abs(O[0]) < 0.5f && Math.Abs(O[1]) < 0.5f && Math.Abs(O[2]) < 0.5f)
{
InterestPoint iPoint = new InterestPoint();
iPoint.x = (float)((c + O[0]) * t.step);
iPoint.y = (float)((r + O[1]) * t.step);
iPoint.scale = (float)((0.1333f) * (m.filter + O[2] * filterStep));
iPoint.laplacian = (int)(m.getLaplacian(r, c, t));
iPoints.Add(iPoint);
}
}
/// <summary>
/// Interpolate scale-space maximum points to subpixel accuracy to form an image feature.
/// </summary>
///
/// <param name="r">The row to be tested.</param>
/// <param name="c">The column to be tested.</param>
///
/// <param name="t">Top response layer.</param>
/// <param name="m">Middle response layer.</param>
/// <param name="b">Bottom response layer.</param>
///
void interpolateExtremum(int r, int c, ResponseLayer t, ResponseLayer m, ResponseLayer b)
{
var D = BuildDerivative(r, c, t, m, b);
var H = BuildHessian(r, c, t, m, b);
var Hi = Matrix.Inverse(H);
var Of = (-1.0).Multiply(Hi).Multiply(D);
// get the offsets from the interpolation
double[] O = { Of[0, 0], Of[1, 0], Of[2, 0] };
// get the step distance between filters
int filterStep = (m.filter - b.filter);
// If point is sufficiently close to the actual extremum
if (Math.Abs(O[0]) < 0.5f && Math.Abs(O[1]) < 0.5f && Math.Abs(O[2]) < 0.5f)
{
IPoint ipt = new IPoint();
ipt.x = (float)((c + O[0]) * t.step);
ipt.y = (float)((r + O[1]) * t.step);
ipt.scale = (float)((0.1333f) * (m.filter + O[2] * filterStep));
ipt.laplacian = (int)(m.getLaplacian(r, c, t));
ipts.Add(ipt);
}
}
/// <summary>
/// Interpolate scale-space extrema to subpixel accuracy to form an image feature
/// </summary>
/// <param name="r"></param>
/// <param name="c"></param>
/// <param name="t"></param>
/// <param name="m"></param>
/// <param name="b"></param>
void interpolateExtremum(int r, int c, ResponseLayer t, ResponseLayer m, ResponseLayer b)
{
Matrix D = Matrix.Create(BuildDerivative(r, c, t, m, b));
Matrix H = Matrix.Create(BuildHessian(r, c, t, m, b));
Matrix Hi = H.Inverse();
Matrix Of = -1 * Hi * D;
// get the offsets from the interpolation
double[] O = { Of[0, 0], Of[1, 0], Of[2, 0] };
// get the step distance between filters
int filterStep = (m.filter - b.filter);
// If point is sufficiently close to the actual extremum
if (Math.Abs(O[0]) < 0.5f && Math.Abs(O[1]) < 0.5f && Math.Abs(O[2]) < 0.5f)
{
IPoint ipt = new IPoint();
ipt.x = (float)((c + O[0]) * t.step);
ipt.y = (float)((r + O[1]) * t.step);
ipt.scale = (float)((0.1333f) * (m.filter + O[2] * filterStep));
ipt.laplacian = (int)(m.getLaplacian(r,c,t));
ipts.Add(ipt);
}
}
/// <summary>
/// Интерполирование найденных Гессианов соседей 3x3x3
/// </summary>
void interpolateExtremum(int r, int c, ResponseLayer t, ResponseLayer m, ResponseLayer b)
{
Matrix D = Matrix.Create(BuildDerivative(r, c, t, m, b));
Matrix H = Matrix.Create(BuildHessian(r, c, t, m, b));
Matrix Hi = H.Inverse();
Matrix Of = -1 * Hi * D;
double[] O = { Of[0, 0], Of[1, 0], Of[2, 0] };
// шаг между фильтрами
int filterStep = (m.filter - b.filter);
// если точка достаточно близка к фактическому экстремуму
if (Math.Abs(O[0]) < 0.5f && Math.Abs(O[1]) < 0.5f && Math.Abs(O[2]) < 0.5f)
{
InterestPoint iPoint = new InterestPoint();
iPoint.x = (float)((c + O[0]) * t.step);
iPoint.y = (float)((r + O[1]) * t.step);
iPoint.scale = (float)((0.1333f) * (m.filter + O[2] * filterStep));
iPoint.laplacian = (int)(m.getLaplacian(r, c, t));
iPoints.Add(iPoint);
}
}
