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authorGravatar Christoph Hertzberg <chtz@informatik.uni-bremen.de>2014-05-05 14:23:52 +0200
committerGravatar Christoph Hertzberg <chtz@informatik.uni-bremen.de>2014-05-05 14:23:52 +0200
commitb4beba72a2d31934d3a2a49401c792f9a8cd49e0 (patch)
treecea6cb7e3e20bb7ac54c732ec66fc8c6f2281b7c /Eigen/src/Geometry/Umeyama.h
parentb5e3d76aa50dd4adc63ebb1e20e6693e261aa7dc (diff)
Fix bug #807: Missing scalar type cast in umeyama()
Diffstat (limited to 'Eigen/src/Geometry/Umeyama.h')
-rw-r--r--Eigen/src/Geometry/Umeyama.h10
1 files changed, 5 insertions, 5 deletions
diff --git a/Eigen/src/Geometry/Umeyama.h b/Eigen/src/Geometry/Umeyama.h
index 345b47e0c..5e20662f8 100644
--- a/Eigen/src/Geometry/Umeyama.h
+++ b/Eigen/src/Geometry/Umeyama.h
@@ -113,7 +113,7 @@ umeyama(const MatrixBase<Derived>& src, const MatrixBase<OtherDerived>& dst, boo
const Index n = src.cols(); // number of measurements
// required for demeaning ...
- const RealScalar one_over_n = 1 / static_cast<RealScalar>(n);
+ const RealScalar one_over_n = RealScalar(1) / static_cast<RealScalar>(n);
// computation of mean
const VectorType src_mean = src.rowwise().sum() * one_over_n;
@@ -136,16 +136,16 @@ umeyama(const MatrixBase<Derived>& src, const MatrixBase<OtherDerived>& dst, boo
// Eq. (39)
VectorType S = VectorType::Ones(m);
- if (sigma.determinant()<0) S(m-1) = -1;
+ if (sigma.determinant()<Scalar(0)) S(m-1) = Scalar(-1);
// Eq. (40) and (43)
const VectorType& d = svd.singularValues();
Index rank = 0; for (Index i=0; i<m; ++i) if (!internal::isMuchSmallerThan(d.coeff(i),d.coeff(0))) ++rank;
if (rank == m-1) {
- if ( svd.matrixU().determinant() * svd.matrixV().determinant() > 0 ) {
+ if ( svd.matrixU().determinant() * svd.matrixV().determinant() > Scalar(0) ) {
Rt.block(0,0,m,m).noalias() = svd.matrixU()*svd.matrixV().transpose();
} else {
- const Scalar s = S(m-1); S(m-1) = -1;
+ const Scalar s = S(m-1); S(m-1) = Scalar(-1);
Rt.block(0,0,m,m).noalias() = svd.matrixU() * S.asDiagonal() * svd.matrixV().transpose();
S(m-1) = s;
}
@@ -156,7 +156,7 @@ umeyama(const MatrixBase<Derived>& src, const MatrixBase<OtherDerived>& dst, boo
if (with_scaling)
{
// Eq. (42)
- const Scalar c = 1/src_var * svd.singularValues().dot(S);
+ const Scalar c = Scalar(1)/src_var * svd.singularValues().dot(S);
// Eq. (41)
Rt.col(m).head(m) = dst_mean;