git-svn-id: https://free-cad.svn.sourceforge.net/svnroot/free-cad/trunk@5000 e8eeb9e2-ec13-0410-a4a9-efa5cf37419d
76 lines
2.8 KiB
C++
76 lines
2.8 KiB
C++
// Wild Magic Source Code
|
|
// David Eberly
|
|
// http://www.geometrictools.com
|
|
// Copyright (c) 1998-2007
|
|
//
|
|
// This library is free software; you can redistribute it and/or modify it
|
|
// under the terms of the GNU Lesser General Public License as published by
|
|
// the Free Software Foundation; either version 2.1 of the License, or (at
|
|
// your option) any later version. The license is available for reading at
|
|
// either of the locations:
|
|
// http://www.gnu.org/copyleft/lgpl.html
|
|
// http://www.geometrictools.com/License/WildMagicLicense.pdf
|
|
// The license applies to versions 0 through 4 of Wild Magic.
|
|
//
|
|
// Version: 4.0.0 (2006/06/28)
|
|
|
|
#ifndef WM4APPRQUADRATICFIT3_H
|
|
#define WM4APPRQUADRATICFIT3_H
|
|
|
|
#include "Wm4FoundationLIB.h"
|
|
#include "Wm4Vector3.h"
|
|
|
|
namespace Wm4
|
|
{
|
|
|
|
// Quadratic fit is
|
|
//
|
|
// 0 = C[0] + C[1]*X + C[2]*Y + C[3]*Z + C[4]*X^2 + C[5]*Y^2
|
|
// + C[6]*Z^2 + C[7]*X*Y + C[8]*X*Z + C[9]*Y*Z
|
|
//
|
|
// subject to Length(C) = 1. Minimize E(C) = C^t M C with Length(C) = 1
|
|
// and M = (sum_i V_i)(sum_i V_i)^t where
|
|
//
|
|
// V = (1, X, Y, Z, X^2, Y^2, Z^2, X*Y, X*Z, Y*Z)
|
|
//
|
|
// Minimum value is the smallest eigenvalue of M and C is a corresponding
|
|
// unit length eigenvector.
|
|
//
|
|
// Input:
|
|
// n = number of points to fit
|
|
// p[0..n-1] = array of points to fit
|
|
//
|
|
// Output:
|
|
// c[0..9] = coefficients of quadratic fit (the eigenvector)
|
|
// return value of function is nonnegative and a measure of the fit
|
|
// (the minimum eigenvalue; 0 = exact fit, positive otherwise)
|
|
|
|
// Canonical forms. The quadratic equation can be factored into
|
|
// P^T A P + B^T P + K = 0 where P = (X,Y,Z), K = C[0], B = (C[1],C[2],C[3]),
|
|
// and A is a 3x3 symmetric matrix with A00 = C[4], A11 = C[5], A22 = C[6],
|
|
// A01 = C[7]/2, A02 = C[8]/2, and A12 = C[9]/2. Matrix A = R^T D R where
|
|
// R is orthogonal and D is diagonal (using an eigendecomposition). Define
|
|
// V = R P = (v0,v1,v2), E = R B = (e0,e1,e2), D = diag(d0,d1,d2), and f = K
|
|
// to obtain
|
|
//
|
|
// d0 v0^2 + d1 v1^2 + d2 v^2 + e0 v0 + e1 v1 + e2 v2 + f = 0
|
|
//
|
|
// Characterization depends on the signs of the d_i.
|
|
template <class Real> WM4_FOUNDATION_ITEM
|
|
Real QuadraticFit3 (int iQuantity, const Vector3<Real>* akPoint,
|
|
Real afCoeff[10]);
|
|
|
|
// If you think your points are nearly spherical, use this. Sphere is of form
|
|
// C'[0]+C'[1]*X+C'[2]*Y+C'[3]*Z+C'[4]*(X^2+Y^2+Z^2) where Length(C') = 1.
|
|
// Function returns C = (C'[0]/C'[4],C'[1]/C'[4],C'[2]/C'[4],C'[3]/C'[4]), so
|
|
// fitted sphere is C[0]+C[1]*X+C[2]*Y+C[3]*Z+X^2+Y^2+Z^2. Center is
|
|
// (xc,yc,zc) = -0.5*(C[1],C[2],C[3]) and radius is rad =
|
|
// sqrt(xc*xc+yc*yc+zc*zc-C[0]).
|
|
template <class Real> WM4_FOUNDATION_ITEM
|
|
Real QuadraticSphereFit3 (int iQuantity, const Vector3<Real>* akPoint,
|
|
Vector3<Real>& rkCenter, Real& rfRadius);
|
|
|
|
}
|
|
|
|
#endif
|