mirror/eigen
2
0
Fork 0
mirror of https://gitlab.com/libeigen/eigen.git synced 2025-01-30 17:40:05 +08:00
Code Issues Packages Projects Releases Wiki Activity

switch from eigensolver to SVD which seems to be more accurate with float

Browse Source
This commit is contained in:
Gael Guennebaud 2009-07-06 11:15:38 +02:00
parent 90f1e24579
commit 0cd158820c
2 changed files with 6 additions and 4 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

2
Eigen/Geometry
View File

@ -6,7 +6,7 @@
#include "src/Core/util/DisableMSVCWarnings.h"
#include "Array"
#include "QR"
#include "SVD"
#include <limits>
#ifndef M_PI

8
Eigen/src/Geometry/Quaternion.h
View File

@ -367,12 +367,14 @@ inline Quaternion<Scalar>& Quaternion<Scalar>::setFromTwoVectors(const MatrixBas
// x^T v1 = 0
// under the constraint:
// ||x|| = 1
// which yields an eigenvalue problem (or a SVD)
// which yields a singular value problem
if (ei_isApprox(c,Scalar(-1)))
{
c = std::max<Scalar>(c,-1);
SelfAdjointEigenSolver<Matrix<Scalar,3,3> > eig(v0 * v0.transpose() + v1 * v1.transpose());
Vector3 axis = eig.eigenvectors().col(0);
SVD<Matrix<Scalar,3,3> > svd(v0 * v0.transpose() + v1 * v1.transpose());
Vector3 axis = svd.matrixV().col(2);
Scalar w2 = (Scalar(1)+c)*Scalar(0.5);
this->w() = ei_sqrt(w2);
this->vec() = axis * ei_sqrt(Scalar(1) - w2);