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637 lines
16 KiB
C++
637 lines
16 KiB
C++
/*
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* icp6Dquat implementation
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*
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* Copyright (C) Andreas Nuechter
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*
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* Released under the GPL version 3.
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*
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*/
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/** @file
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* @brief Implementation of the ICP error function minimization via quaternions
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* @author Andreas Nuechter. Jacobs University Bremen gGmbH, Germany.
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*/
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#include "slam6d/icp6Dquat.h"
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#include "slam6d/globals.icc"
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#include <iomanip>
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using std::ios;
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using std::resetiosflags;
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using std::setiosflags;
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#include <cfloat>
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#include <cmath>
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#include <iostream>
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using std::cout;
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using std::cerr;
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using std::endl;
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#ifdef _MSC_VER
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#define cbrt(x) pow(x,1/3)
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#endif
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/**
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* computes the rotation matrix consisting
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* of a rotation and translation that
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* minimizes the root-mean-square error of the
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* point pairs using the Quaternion method of Horn
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* PARAMETERS
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* vector of point pairs, rotation matrix
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* @param pairs Vector of point pairs (pairs of corresponding points)
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* @param *alignfx The resulting transformation matrix
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* @return Error estimation of the matching (rms)
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*/
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double icp6D_QUAT::Point_Point_Align(const vector<PtPair>& pairs, double *alignfx,
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const double centroid_m[3], const double centroid_d[3])
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{
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int n = pairs.size();
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double sum = 0.0;
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// the quaternion
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double q[7];
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double S[3][3];
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double Q[4][4];
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int i,j;
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// calculate the cross covariance matrix
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for (i = 0; i < 3; i++)
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for (j = 0; j < 3; j++)
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S[i][j] = 0;
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for (i=0; i<n; i++) {
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// cout << setprecision (10) << pairs[i].p1.x << " " << pairs[i].p1.y << " " << pairs[i].p1.z << endl;
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// cout << pairs[i].p2.x << " " << pairs[i].p2.y << " " << pairs[i].p2.z << endl;
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sum += sqr(pairs[i].p1.x - pairs[i].p2.x)
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+ sqr(pairs[i].p1.y - pairs[i].p2.y)
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+ sqr(pairs[i].p1.z - pairs[i].p2.z) ;
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S[0][0] += pairs[i].p2.x * pairs[i].p1.x;
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S[0][1] += pairs[i].p2.x * pairs[i].p1.y;
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S[0][2] += pairs[i].p2.x * pairs[i].p1.z;
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S[1][0] += pairs[i].p2.y * pairs[i].p1.x;
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S[1][1] += pairs[i].p2.y * pairs[i].p1.y;
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S[1][2] += pairs[i].p2.y * pairs[i].p1.z;
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S[2][0] += pairs[i].p2.z * pairs[i].p1.x;
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S[2][1] += pairs[i].p2.z * pairs[i].p1.y;
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S[2][2] += pairs[i].p2.z * pairs[i].p1.z;
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}
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double error = sqrt(sum / n);
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if (!quiet) {
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cout.setf(ios::basefield);
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cout << "QUAT RMS point-to-point error = "
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<< resetiosflags(ios::adjustfield) << setiosflags(ios::internal)
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<< resetiosflags(ios::floatfield) << setiosflags(ios::fixed)
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<< std::setw(10) << std::setprecision(7)
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<< error
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<< " using " << std::setw(6) << (int)pairs.size() << " points" << endl;
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}
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double fact = 1 / double(n);
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for (i = 0; i < 3; i++)
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for (j = 0; j < 3; j++)
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S[i][j] *= fact;
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S[0][0] -= centroid_d[0] * centroid_m[0];
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S[0][1] -= centroid_d[0] * centroid_m[1];
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S[0][2] -= centroid_d[0] * centroid_m[2];
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S[1][0] -= centroid_d[1] * centroid_m[0];
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S[1][1] -= centroid_d[1] * centroid_m[1];
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S[1][2] -= centroid_d[1] * centroid_m[2];
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S[2][0] -= centroid_d[2] * centroid_m[0];
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S[2][1] -= centroid_d[2] * centroid_m[1];
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S[2][2] -= centroid_d[2] * centroid_m[2];
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// calculate the 4x4 symmetric matrix Q
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double trace = S[0][0] + S[1][1] + S[2][2];
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double A23 = S[1][2] - S[2][1];
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double A31 = S[2][0] - S[0][2];
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double A12 = S[0][1] - S[1][0];
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Q[0][0] = trace;
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Q[0][1] = Q[1][0] = A23;
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Q[0][2] = Q[2][0] = A31;
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Q[0][3] = Q[3][0] = A12;
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for (i = 0; i < 3; i++)
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for (j = 0; j < 3; j++)
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Q[i+1][j+1] = S[i][j] + S[j][i] - ( i==j ? trace : 0);
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maxEigenVector(Q, q);
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// calculate the rotation matrix
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double m[3][3]; // rot matrix
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quaternion2matrix(q, m);
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M4identity(alignfx);
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alignfx[0] = m[0][0];
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alignfx[1] = m[1][0];
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alignfx[2] = m[2][0];
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alignfx[3] = 0.0;
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alignfx[4] = m[0][1];
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alignfx[5] = m[1][1];
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alignfx[6] = m[2][1];
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alignfx[7] = 0.0;
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alignfx[8] = m[0][2];
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alignfx[9] = m[1][2];
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alignfx[10] = m[2][2];
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alignfx[11] = 0.0;
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// calculate the translation vector,
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alignfx[12] = centroid_m[0] - m[0][0]*centroid_d[0] - m[0][1]*centroid_d[1] - m[0][2]*centroid_d[2];
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alignfx[13] = centroid_m[1] - m[1][0]*centroid_d[0] - m[1][1]*centroid_d[1] - m[1][2]*centroid_d[2];
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alignfx[14] = centroid_m[2] - m[2][0]*centroid_d[0] - m[2][1]*centroid_d[1] - m[2][2]*centroid_d[2];
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return error;
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}
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// transform a quaternion to a rotation matrix
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void icp6D_QUAT::quaternion2matrix(double *q, double m[3][3])
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{
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double q00 = q[0]*q[0];
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double q11 = q[1]*q[1];
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double q22 = q[2]*q[2];
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double q33 = q[3]*q[3];
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double q03 = q[0]*q[3];
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double q13 = q[1]*q[3];
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double q23 = q[2]*q[3];
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double q02 = q[0]*q[2];
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double q12 = q[1]*q[2];
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double q01 = q[0]*q[1];
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m[0][0] = q00 + q11 - q22 - q33;
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m[1][1] = q00 - q11 + q22 - q33;
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m[2][2] = q00 - q11 - q22 + q33;
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m[0][1] = 2.0*(q12-q03);
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m[1][0] = 2.0*(q12+q03);
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m[0][2] = 2.0*(q13+q02);
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m[2][0] = 2.0*(q13-q02);
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m[1][2] = 2.0*(q23-q01);
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m[2][1] = 2.0*(q23+q01);
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}
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int icp6D_QUAT::ferrari(double a, double b, double c, double d, double rts[4])
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/*
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solve the quartic equation -
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x**4 + a*x**3 + b*x**2 + c*x + d = 0
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input -
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a,b,c,e - coeffs of equation.
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output -
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nquar - number of real roots.
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rts - array of root values.
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method : Ferrari - Lagrange
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Theory of Equations, H.W. Turnbull p. 140 (1947)
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calls cubic, qudrtc
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*/
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{
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int nquar,n1,n2;
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double asq,ainv2;
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double v1[4],v2[4];
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double p,q,r;
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double y;
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double e,f,esq,fsq,ef;
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double g,gg,h,hh;
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asq = a*a;
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p = b;
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q = a*c-4.0*d;
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r = (asq - 4.0*b)*d + c*c;
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y = cubic(p,q,r);
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esq = .25*asq - b - y;
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if (esq < 0.0) return(0);
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else {
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fsq = .25*y*y - d;
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if (fsq < 0.0) return(0);
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else {
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ef = -(.25*a*y + .5*c);
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if ( ((a > 0.0)&&(y > 0.0)&&(c > 0.0))
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|| ((a > 0.0)&&(y < 0.0)&&(c < 0.0))
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|| ((a < 0.0)&&(y > 0.0)&&(c < 0.0))
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|| ((a < 0.0)&&(y < 0.0)&&(c > 0.0))
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|| (a == 0.0)||(y == 0.0)||(c == 0.0)
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) {
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/* use ef - */
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if ((b < 0.0)&&(y < 0.0)&&(esq > 0.0)) {
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e = sqrt(esq);
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f = ef/e;
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} else if ((d < 0.0) && (fsq > 0.0)) {
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f = sqrt(fsq);
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e = ef/f;
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} else {
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e = sqrt(esq);
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f = sqrt(fsq);
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if (ef < 0.0) f = -f;
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}
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} else {
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e = sqrt(esq);
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f = sqrt(fsq);
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if (ef < 0.0) f = -f;
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}
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/* note that e >= 0.0 */
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ainv2 = a*.5;
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g = ainv2 - e;
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gg = ainv2 + e;
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if ( ((b > 0.0)&&(y > 0.0))
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|| ((b < 0.0)&&(y < 0.0)) ) {
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if (( a > 0.0) && (e != 0.0)) g = (b + y)/gg;
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else if (e != 0.0) gg = (b + y)/g;
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}
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if ((y == 0.0)&&(f == 0.0)) {
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h = 0.0;
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hh = 0.0;
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} else if ( ((f > 0.0)&&(y < 0.0))
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|| ((f < 0.0)&&(y > 0.0)) ) {
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hh = -.5*y + f;
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h = d/hh;
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} else {
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h = -.5*y - f;
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hh = d/h;
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}
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n1 = qudrtc(gg,hh,v1);
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n2 = qudrtc(g,h,v2);
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nquar = n1+n2;
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rts[0] = v1[0];
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rts[1] = v1[1];
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rts[n1+0] = v2[0];
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rts[n1+1] = v2[1];
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return nquar;
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}
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}
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} /* ferrari */
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int icp6D_QUAT::qudrtc(double b, double c, double rts[4])
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/*
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solve the quadratic equation -
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x**2+b*x+c = 0
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*/
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{
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int nquad;
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double rtdis;
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double dis = b*b-4.0*c;
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if (dis >= 0.0) {
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nquad = 2;
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rtdis = sqrt(dis);
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if (b > 0.0) rts[0] = ( -b - rtdis)*.5;
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else rts[0] = ( -b + rtdis)*.5;
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if (rts[0] == 0.0) rts[1] = -b;
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else rts[1] = c/rts[0];
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} else {
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nquad = 0;
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rts[0] = 0.0;
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rts[1] = 0.0;
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}
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return nquad;
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} /* qudrtc */
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/**************************************************/
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double icp6D_QUAT::cubic(double p, double q, double r)
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/*
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find the lowest real root of the cubic -
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x**3 + p*x**2 + q*x + r = 0
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input parameters -
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p,q,r - coeffs of cubic equation.
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output-
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cubic - a real root.
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method -
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see D.E. Littlewood, "A University Algebra" pp.173 - 6
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Charles Prineas April 1981
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*/
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{
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//int nrts;
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double po3,po3sq,qo3;
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double uo3,u2o3,uo3sq4,uo3cu4;
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double v,vsq,wsq;
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double m,mcube=0.0,n;
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double muo3,s,scube,t,cosk,sinsqk;
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double root;
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double doubmax = sqrt(DBL_MAX);
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m = 0.0;
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//nrts =0;
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if ((p > doubmax) || (p < -doubmax)) {
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root = -p;
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} else if ((q > doubmax) || (q < -doubmax)) {
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if (q > 0.0) root = -r/q;
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else root = -sqrt(-q);
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} else if ((r > doubmax)|| (r < -doubmax)) {
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root = -cbrt(r);
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} else {
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po3 = p/3.0;
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po3sq = po3*po3;
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if (po3sq > doubmax) root = -p;
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else {
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v = r + po3*(po3sq + po3sq - q);
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if ((v > doubmax) || (v < -doubmax))
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root = -p;
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else {
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vsq = v*v;
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qo3 = q/3.0;
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uo3 = qo3 - po3sq;
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u2o3 = uo3 + uo3;
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if ((u2o3 > doubmax) || (u2o3 < -doubmax)) {
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if (p == 0.0) {
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if (q > 0.0) root = -r/q;
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else root = -sqrt(-q);
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} else root = -q/p;
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}
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uo3sq4 = u2o3*u2o3;
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if (uo3sq4 > doubmax) {
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if (p == 0.0) {
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if (q > 0.0) root = -r/q;
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else root = -sqrt(fabs(q));
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} else root = -q/p;
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}
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uo3cu4 = uo3sq4*uo3;
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wsq = uo3cu4 + vsq;
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if (wsq >= 0.0) {
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//
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// cubic has one real root
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//
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//nrts = 1;
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if (v <= 0.0) mcube = ( -v + sqrt(wsq))*.5;
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if (v > 0.0) mcube = ( -v - sqrt(wsq))*.5;
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m = cbrt(mcube);
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if (m != 0.0) n = -uo3/m;
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else n = 0.0;
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root = m + n - po3;
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} else {
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//nrts = 3;
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//
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// cubic has three real roots
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//
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if (uo3 < 0.0) {
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muo3 = -uo3;
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s = sqrt(muo3);
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scube = s*muo3;
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t = -v/(scube+scube);
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cosk = cos(acos(t)/3.0);
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if (po3 < 0.0)
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root = (s+s)*cosk - po3;
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else {
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sinsqk = 1.0 - cosk*cosk;
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if (sinsqk < 0.0) sinsqk = 0.0;
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root = s*( -cosk - sqrt(3*sinsqk)) - po3;
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}
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} else
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//
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// cubic has multiple root -
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//
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root = cbrt(v) - po3;
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}
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}
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}
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}
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return root;
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} /* cubic */
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/***************************************/
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// calculate the maximum eigenvector of a symmetric
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// 4x4 matrix
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// from B. Horn 1987 Closed-form solution of absolute
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// orientation using unit quaternions (J.Opt.Soc.Am.A)
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void icp6D_QUAT::maxEigenVector(double Q[4][4], double ev[4])
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{
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double N[4][4];
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double rts[4];
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double c[4];
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// find the coeffs for the characteristic eqn.
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characteristicPol(Q, c);
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// find roots
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ferrari(c[0], c[1], c[2], c[3], rts);
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// find maximum root = maximum eigenvalue
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double l = rts[0];
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if (rts[1] > l) l = rts[1];
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if (rts[2] > l) l = rts[2];
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if (rts[3] > l) l = rts[3];
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// create the Q - l*I matrix
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N[0][0]=Q[0][0]-l;N[0][1]=Q[0][1] ;N[0][2]=Q[0][2]; N[0][3]=Q[0][3];
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N[1][0]=Q[1][0]; N[1][1]=Q[1][1]-l;N[1][2]=Q[1][2]; N[1][3]=Q[1][3];
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N[2][0]=Q[2][0]; N[2][1]=Q[2][1] ;N[2][2]=Q[2][2]-l;N[2][3]=Q[2][3];
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N[3][0]=Q[3][0]; N[3][1]=Q[3][1] ;N[3][2]=Q[3][2];N[3][3]=Q[3][3]-l;
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// the columns of the inverted matrix should be multiples of
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// the eigenvector, pick the largest
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int ipiv[4];
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double best[4], curr[4];
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if (LU_factor(N, ipiv)) {
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cerr << "maxEigenVector():" << endl;
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cerr << "LU_factor failed!" << endl;
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cerr << "return identity quaternion" << endl;
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ev[0] = 1.0;
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ev[1] = ev[2] = ev[3] = 0.0;
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return;
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}
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best[1] = best[2] = best[3] = 0; best[0] = 1;
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LU_solve(N, ipiv, best);
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double len =
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best[0]*best[0] + best[1]*best[1] +
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best[2]*best[2] + best[3]*best[3];
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for (int i=1; i<4; i++) {
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curr[0] = curr[1] = curr[2] = curr[3] = 0; curr[i] = 1;
|
|
LU_solve(N, ipiv, curr);
|
|
double tlen =
|
|
curr[0]*curr[0] + curr[1]*curr[1] +
|
|
curr[2]*curr[2] + curr[3]*curr[3];
|
|
if (tlen > len) {
|
|
len = tlen;
|
|
best[0] = curr[0];
|
|
best[1] = curr[1];
|
|
best[2] = curr[2];
|
|
best[3] = curr[3];
|
|
}
|
|
}
|
|
// normalize the result
|
|
len = 1.0/sqrt(len);
|
|
ev[0] = best[0]*len;
|
|
ev[1] = best[1]*len;
|
|
ev[2] = best[2]*len;
|
|
ev[3] = best[3]*len;
|
|
}
|
|
|
|
// find the coefficients of the characteristic eqn.
|
|
// l^4 + a l^3 + b l^2 + c l + d = 0
|
|
// for a symmetric 4x4 matrix
|
|
void icp6D_QUAT::characteristicPol(double Q[4][4], double c[4])
|
|
{
|
|
// squares
|
|
double q01_2 = Q[0][1] * Q[0][1];
|
|
double q02_2 = Q[0][2] * Q[0][2];
|
|
double q03_2 = Q[0][3] * Q[0][3];
|
|
double q12_2 = Q[1][2] * Q[1][2];
|
|
double q13_2 = Q[1][3] * Q[1][3];
|
|
double q23_2 = Q[2][3] * Q[2][3];
|
|
|
|
// other factors
|
|
double q0011 = Q[0][0] * Q[1][1];
|
|
double q0022 = Q[0][0] * Q[2][2];
|
|
double q0033 = Q[0][0] * Q[3][3];
|
|
double q0102 = Q[0][1] * Q[0][2];
|
|
double q0103 = Q[0][1] * Q[0][3];
|
|
double q0223 = Q[0][2] * Q[2][3];
|
|
double q1122 = Q[1][1] * Q[2][2];
|
|
double q1133 = Q[1][1] * Q[3][3];
|
|
double q1223 = Q[1][2] * Q[2][3];
|
|
double q2233 = Q[2][2] * Q[3][3];
|
|
|
|
// a
|
|
c[0] = -Q[0][0] - Q[1][1] - Q[2][2] - Q[3][3];
|
|
|
|
// b
|
|
c[1] = - q01_2 - q02_2 - q03_2 + q0011 - q12_2 -
|
|
q13_2 + q0022 + q1122 - q23_2 + q0033 + q1133 +
|
|
q2233;
|
|
|
|
// c
|
|
c[2] = (q02_2 + q03_2 + q23_2)*Q[1][1] - 2*q0102*Q[1][2] +
|
|
(q12_2 + q13_2 + q23_2)*Q[0][0] +
|
|
(q01_2 + q03_2 - q0011 + q13_2 - q1133)*Q[2][2] -
|
|
2*Q[0][3]*q0223 - 2*(q0103 + q1223)*Q[1][3] +
|
|
(q01_2 + q02_2 - q0011 + q12_2 - q0022)*Q[3][3];
|
|
|
|
// d
|
|
c[3] = 2*(-Q[0][2]*Q[0][3]*Q[1][2] + q0103*Q[2][2] -
|
|
Q[0][1]*q0223 + Q[0][0]*q1223)*Q[1][3] +
|
|
q02_2*q13_2 - q03_2*q1122 - q13_2*q0022 +
|
|
2*Q[0][3]*Q[1][1]*q0223 - 2*q0103*q1223 + q01_2*q23_2 -
|
|
q0011*q23_2 - q02_2*q1133 + q03_2*q12_2 +
|
|
2*q0102*Q[1][2]*Q[3][3] - q12_2*q0033 - q01_2*q2233 +
|
|
q0011*q2233;
|
|
}
|
|
|
|
double icp6D_QUAT::Point_Point_Align_Parallel(const int openmp_num_threads,
|
|
const unsigned int n[OPENMP_NUM_THREADS],
|
|
const double sum[OPENMP_NUM_THREADS],
|
|
const double centroid_m[OPENMP_NUM_THREADS][3],
|
|
const double centroid_d[OPENMP_NUM_THREADS][3],
|
|
const double Si[OPENMP_NUM_THREADS][9],
|
|
double *alignfx)
|
|
{
|
|
double s = 0.0;
|
|
double ret;
|
|
unsigned int pairs_size = 0;
|
|
double cm[3] = {0.0, 0.0, 0.0}; // centroid m
|
|
double cd[3] = {0.0, 0.0, 0.0}; // centroid d
|
|
|
|
// Implementation according to the paper
|
|
// "The Parallel Iterative Closest Point Algorithm"
|
|
// by Langis / Greenspan / Godin, IEEE 3DIM 2001
|
|
// formula (4)
|
|
for (int i = 0; i < openmp_num_threads; i++) {
|
|
s += sum[i];
|
|
pairs_size += n[i];
|
|
cm[0] += n[i] * centroid_m[i][0];
|
|
cm[1] += n[i] * centroid_m[i][1];
|
|
cm[2] += n[i] * centroid_m[i][2];
|
|
cd[0] += n[i] * centroid_d[i][0];
|
|
cd[1] += n[i] * centroid_d[i][1];
|
|
cd[2] += n[i] * centroid_d[i][2];
|
|
}
|
|
cm[0] /= pairs_size;
|
|
cm[1] /= pairs_size;
|
|
cm[2] /= pairs_size;
|
|
cd[0] /= pairs_size;
|
|
cd[1] /= pairs_size;
|
|
cd[2] /= pairs_size;
|
|
|
|
ret = sqrt(s / (double)pairs_size);
|
|
if (!quiet) {
|
|
cout.setf(ios::basefield);
|
|
cout << "PQUAT RMS point-to-point error = "
|
|
<< resetiosflags(ios::adjustfield) << setiosflags(ios::internal)
|
|
<< resetiosflags(ios::floatfield) << setiosflags(ios::fixed)
|
|
<< std::setw(10) << std::setprecision(7)
|
|
<< ret
|
|
<< " using " << std::setw(6) << pairs_size << " points" << endl;
|
|
}
|
|
|
|
double S[3][3];
|
|
double Q[4][4];
|
|
int i,j;
|
|
|
|
for (i = 0; i < 3; i++)
|
|
for (j = 0; j < 3; j++)
|
|
S[i][j] = 0;
|
|
|
|
// calculate the cross covariance matrix
|
|
// formula (5)
|
|
for (int i = 0; i < openmp_num_threads; i++) {
|
|
for(int j = 0; j < 3; j++){
|
|
for(int k = 0; k < 3; k++){
|
|
S[j][k] += Si[i][k*3+j] + n[i] * ((centroid_d[i][j] - cd[j]) * (centroid_m[i][k] - cm[k])) ;
|
|
}
|
|
}
|
|
}
|
|
|
|
S[0][0] -= cd[0] * cm[0];
|
|
S[0][1] -= cd[0] * cm[1];
|
|
S[0][2] -= cd[0] * cm[2];
|
|
S[1][0] -= cd[1] * cm[0];
|
|
S[1][1] -= cd[1] * cm[1];
|
|
S[1][2] -= cd[1] * cm[2];
|
|
S[2][0] -= cd[2] * cm[0];
|
|
S[2][1] -= cd[2] * cm[1];
|
|
S[2][2] -= cd[2] * cm[2];
|
|
|
|
// calculate the 4x4 symmetric matrix Q
|
|
double trace = S[0][0] + S[1][1] + S[2][2];
|
|
double A23 = S[1][2] - S[2][1];
|
|
double A31 = S[2][0] - S[0][2];
|
|
double A12 = S[0][1] - S[1][0];
|
|
|
|
Q[0][0] = trace;
|
|
Q[0][1] = Q[1][0] = A23;
|
|
Q[0][2] = Q[2][0] = A31;
|
|
Q[0][3] = Q[3][0] = A12;
|
|
for (i = 0; i < 3; i++)
|
|
for (j = 0; j < 3; j++)
|
|
Q[i+1][j+1] = S[i][j]+S[j][i]-(i==j ? trace : 0);
|
|
|
|
// the quaternion
|
|
double q[7];
|
|
|
|
maxEigenVector(Q, q);
|
|
|
|
// calculate the rotation matrix
|
|
double m[3][3]; // rot matrix
|
|
quaternion2matrix(q, m);
|
|
|
|
M4identity(alignfx);
|
|
|
|
alignfx[0] = m[0][0];
|
|
alignfx[1] = m[1][0];
|
|
alignfx[2] = m[2][0];
|
|
alignfx[3] = 0.0;
|
|
alignfx[4] = m[0][1];
|
|
alignfx[5] = m[1][1];
|
|
alignfx[6] = m[2][1];
|
|
alignfx[7] = 0.0;
|
|
alignfx[8] = m[0][2];
|
|
alignfx[9] = m[1][2];
|
|
alignfx[10] = m[2][2];
|
|
alignfx[11] = 0.0;
|
|
|
|
// calculate the translation vector,
|
|
alignfx[12] = cm[0] - m[0][0]*cd[0] - m[0][1]*cd[1] - m[0][2]*cd[2];
|
|
alignfx[13] = cm[1] - m[1][0]*cd[0] - m[1][1]*cd[1] - m[1][2]*cd[2];
|
|
alignfx[14] = cm[2] - m[2][0]*cd[0] - m[2][1]*cd[1] - m[2][2]*cd[2];
|
|
|
|
return ret;
|
|
}
|