public static Output <double, double, Vector, Vector> PrincipalCurvatureAtParameter(this NurbsSurface surface, double u, double v)
{
// Vector entries for a "Hessian" with regard to u and v
Vector dU2 = DerivativeAtParameter(surface, u, v, 2, 0);
Vector dUV = DerivativeAtParameter(surface, u, v, 1, 1);
Vector dV2 = DerivativeAtParameter(surface, u, v, 0, 2);
// Get the local space, dU and dV are the basis vectors for the Hessian above.
Vector dU = DerivativeAtParameter(surface, u, v, 1, 0);
Vector dV = DerivativeAtParameter(surface, u, v, 0, 1);
Vector normal = dU.CrossProduct(dV).Normalise();
// We reduce the vector valued Hessian to a scalar valued Hessian, where the value (of the imagined original function) is the distance from the point we evaluate along the normal
// | a b |
// | c d |
double a = dU2.DotProduct(normal);
double b = dUV.DotProduct(normal);
double c = b;
double d = dV2.DotProduct(normal);
// That's the Hessian for a system where the derivative vectors are the local coordinate systems xy-axis, i.e very poorly scaled and skewed for most purposes
double phi = dU.SignedAngle(dV, normal);
// Change of basis matrix, to get the transform for the Hessian to the world space
// | e f |
// | g h |
double e = 1 / dU.Length();
double g = 0;
double h = 1 / (Math.Sin(phi) * dV.Length());
double f = -(Math.Cos(phi) * dV.Length()) * h * e;
// A^T * Hess(x) * A gives the Hessian in the world space scaled/skewed system, i.e a system we care about
double a1 = a * e * e + b * g * e + c * e * g + d * g * g;
double b1 = e * a * f + e * b * h + g * c * f + g * d * h;
double c1 = f * a * e + b * g * f + c * e * h + d * g * h;
double d1 = a * f * f + b * h * f + c * f * h + d * h * h;
// Eigenvalues of the Hessian gives the min and max curvature of the function
double p = (a1 + d1) * 0.5;
double sqrt = Math.Sqrt((a1 + d1) * (a1 + d1) * 0.25 - (a1 * d1 - b1 * c1));
if (double.IsNaN(sqrt))
{
sqrt = 0;
}
double eigenMin = (p - sqrt);
double eigenMax = (p + sqrt);
// The eigenvectors of the Hessian are the principled directions
Vector eigMin = new Vector();
Vector eigMax = new Vector();
if (Math.Abs(c1) > Tolerance.Distance)
{
eigMin.X = eigenMin - d1;
eigMin.Y = c1;
eigMax.X = eigenMax - d1;
eigMax.Y = c1;
}
else if (Math.Abs(b1) > Tolerance.Distance)
{
eigMin.X = b1;
eigMin.Y = eigenMin - a1;
eigMax.X = b1;
eigMax.Y = eigenMax - a1;
}
else
{
eigMin.X = 1;
eigMax.Y = 1;
}
// Orient to world space, as in we've been working on the origin with the normal as z-axis, this places the vectors back to the surface.
// would be nice to suppress the warning in some manner as it is very much intended.
TransformMatrix matrix = Create.OrientationMatrixGlobalToLocal(Create.CartesianCoordinateSystem(new Point(), dU, dV));
return(new Output <double, double, Vector, Vector>()
{
Item1 = eigenMin,
Item2 = eigenMax,
Item3 = eigMin.Transform(matrix).Normalise(),
Item4 = eigMax.Transform(matrix).Normalise(),
});
}
