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e761ba68f7
@ -336,6 +336,13 @@ class Matrix
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template<typename OtherDerived>
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Matrix& operator=(const RotationBase<OtherDerived,ColsAtCompileTime>& r);
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#ifdef EIGEN2_SUPPORT
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template<typename OtherDerived>
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explicit Matrix(const eigen2_RotationBase<OtherDerived,ColsAtCompileTime>& r);
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template<typename OtherDerived>
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Matrix& operator=(const eigen2_RotationBase<OtherDerived,ColsAtCompileTime>& r);
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#endif
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// allow to extend Matrix outside Eigen
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#ifdef EIGEN_MATRIX_PLUGIN
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#include EIGEN_MATRIX_PLUGIN
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@ -204,7 +204,7 @@ template<typename Derived> class MatrixBase
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template<typename OtherDerived>
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typename internal::scalar_product_traits<typename internal::traits<Derived>::Scalar,typename internal::traits<OtherDerived>::Scalar>::ReturnType
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#if EIGEN2_SUPPORT_STAGE == STAGE15_RESOLVE_API_CONFLICTS_WARN
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EIGEN_DEPRECATED Scalar
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EIGEN_DEPRECATED
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#endif
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dot(const MatrixBase<OtherDerived>& other) const;
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#endif
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@ -220,7 +220,6 @@ template<typename Scalar> class JacobiRotation;
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template<typename Derived, int _Dim> class RotationBase;
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template<typename Lhs, typename Rhs> class Cross;
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template<typename Derived> class QuaternionBase;
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template<typename Scalar, int Options = AutoAlign> class Quaternion;
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template<typename Scalar> class Rotation2D;
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template<typename Scalar> class AngleAxis;
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template<typename Scalar,int Dim> class Translation;
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@ -239,6 +238,7 @@ template<typename Scalar,int Dim> class eigen2_Scaling;
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#endif
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#if EIGEN2_SUPPORT_STAGE < STAGE20_RESOLVE_API_CONFLICTS
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template<typename Scalar> class Quaternion;
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template<typename Scalar,int Dim> class Transform;
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template <typename _Scalar, int _AmbientDim> class ParametrizedLine;
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template <typename _Scalar, int _AmbientDim> class Hyperplane;
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@ -246,6 +246,7 @@ template<typename Scalar,int Dim> class Scaling;
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#endif
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#if EIGEN2_SUPPORT_STAGE > STAGE20_RESOLVE_API_CONFLICTS
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template<typename Scalar, int Options = AutoAlign> class Quaternion;
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template<typename Scalar,int Dim,int Mode,int _Options=AutoAlign> class Transform;
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template <typename _Scalar, int _AmbientDim, int Options=AutoAlign> class ParametrizedLine;
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template <typename _Scalar, int _AmbientDim, int Options=AutoAlign> class Hyperplane;
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@ -22,8 +22,7 @@
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// License and a copy of the GNU General Public License along with
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// Eigen. If not, see <http://www.gnu.org/licenses/>.
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#ifndef EIGEN_ALIGNEDBOX_H
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#define EIGEN_ALIGNEDBOX_H
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// no include guard, we'll include this twice from All.h from Eigen2Support, and it's internal anyway
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/** \geometry_module \ingroup Geometry_Module
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* \nonstableyet
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@ -169,5 +168,3 @@ inline Scalar AlignedBox<Scalar,AmbiantDim>::squaredExteriorDistance(const Vecto
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}
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return dist2;
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}
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#endif // EIGEN_ALIGNEDBOX_H
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@ -58,6 +58,10 @@
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#define Hyperplane eigen2_Hyperplane
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#define ParametrizedLine eigen2_ParametrizedLine
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#define ei_toRotationMatrix eigen2_ei_toRotationMatrix
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#define ei_quaternion_assign_impl eigen2_ei_quaternion_assign_impl
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#define ei_transform_product_impl eigen2_ei_transform_product_impl
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#include "RotationBase.h"
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#include "Rotation2D.h"
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#include "Quaternion.h"
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@ -69,6 +73,10 @@
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#include "Hyperplane.h"
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#include "ParametrizedLine.h"
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#undef ei_toRotationMatrix
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#undef ei_quaternion_assign_impl
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#undef ei_transform_product_impl
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#undef RotationBase
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#undef Rotation2D
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#undef Rotation2Df
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@ -22,8 +22,8 @@
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// License and a copy of the GNU General Public License along with
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// Eigen. If not, see <http://www.gnu.org/licenses/>.
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#ifndef EIGEN_ANGLEAXIS_H
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#define EIGEN_ANGLEAXIS_H
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// no include guard, we'll include this twice from All.h from Eigen2Support, and it's internal anyway
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/** \geometry_module \ingroup Geometry_Module
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*
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@ -224,5 +224,3 @@ AngleAxis<Scalar>::toRotationMatrix(void) const
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return res;
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}
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#endif // EIGEN_ANGLEAXIS_H
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@ -23,8 +23,7 @@
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// License and a copy of the GNU General Public License along with
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// Eigen. If not, see <http://www.gnu.org/licenses/>.
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#ifndef EIGEN_HYPERPLANE_H
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#define EIGEN_HYPERPLANE_H
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// no include guard, we'll include this twice from All.h from Eigen2Support, and it's internal anyway
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/** \geometry_module \ingroup Geometry_Module
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*
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@ -71,7 +70,7 @@ public:
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: m_coeffs(n.size()+1)
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{
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normal() = n;
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offset() = -e.dot(n);
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offset() = -e.eigen2_dot(n);
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}
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/** Constructs a plane from its normal \a n and distance to the origin \a d
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@ -92,7 +91,7 @@ public:
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{
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Hyperplane result(p0.size());
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result.normal() = (p1 - p0).unitOrthogonal();
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result.offset() = -result.normal().dot(p0);
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result.offset() = -result.normal().eigen2_dot(p0);
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return result;
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}
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@ -104,7 +103,7 @@ public:
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EIGEN_STATIC_ASSERT_VECTOR_SPECIFIC_SIZE(VectorType, 3)
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Hyperplane result(p0.size());
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result.normal() = (p2 - p0).cross(p1 - p0).normalized();
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result.offset() = -result.normal().dot(p0);
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result.offset() = -result.normal().eigen2_dot(p0);
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return result;
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}
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@ -116,7 +115,7 @@ public:
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explicit Hyperplane(const ParametrizedLine<Scalar, AmbientDimAtCompileTime>& parametrized)
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{
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normal() = parametrized.direction().unitOrthogonal();
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offset() = -normal().dot(parametrized.origin());
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offset() = -normal().eigen2_dot(parametrized.origin());
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}
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~Hyperplane() {}
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@ -133,7 +132,7 @@ public:
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/** \returns the signed distance between the plane \c *this and a point \a p.
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* \sa absDistance()
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*/
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inline Scalar signedDistance(const VectorType& p) const { return p.dot(normal()) + offset(); }
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inline Scalar signedDistance(const VectorType& p) const { return p.eigen2_dot(normal()) + offset(); }
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/** \returns the absolute distance between the plane \c *this and a point \a p.
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* \sa signedDistance()
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@ -231,7 +230,7 @@ public:
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TransformTraits traits = Affine)
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{
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transform(t.linear(), traits);
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offset() -= t.translation().dot(normal());
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offset() -= t.translation().eigen2_dot(normal());
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return *this;
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}
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@ -264,5 +263,3 @@ protected:
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Coefficients m_coeffs;
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};
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#endif // EIGEN_HYPERPLANE_H
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@ -23,8 +23,8 @@
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// License and a copy of the GNU General Public License along with
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// Eigen. If not, see <http://www.gnu.org/licenses/>.
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#ifndef EIGEN_PARAMETRIZEDLINE_H
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#define EIGEN_PARAMETRIZEDLINE_H
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// no include guard, we'll include this twice from All.h from Eigen2Support, and it's internal anyway
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/** \geometry_module \ingroup Geometry_Module
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*
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@ -85,7 +85,7 @@ public:
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RealScalar squaredDistance(const VectorType& p) const
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{
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VectorType diff = p-origin();
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return (diff - diff.dot(direction())* direction()).squaredNorm();
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return (diff - diff.eigen2_dot(direction())* direction()).squaredNorm();
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}
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/** \returns the distance of a point \a p to its projection onto the line \c *this.
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* \sa squaredDistance()
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@ -94,7 +94,7 @@ public:
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/** \returns the projection of a point \a p onto the line \c *this. */
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VectorType projection(const VectorType& p) const
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{ return origin() + (p-origin()).dot(direction()) * direction(); }
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{ return origin() + (p-origin()).eigen2_dot(direction()) * direction(); }
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Scalar intersection(const Hyperplane<_Scalar, _AmbientDim>& hyperplane);
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@ -148,8 +148,6 @@ inline ParametrizedLine<_Scalar, _AmbientDim>::ParametrizedLine(const Hyperplane
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template <typename _Scalar, int _AmbientDim>
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inline _Scalar ParametrizedLine<_Scalar, _AmbientDim>::intersection(const Hyperplane<_Scalar, _AmbientDim>& hyperplane)
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{
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return -(hyperplane.offset()+origin().dot(hyperplane.normal()))
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/(direction().dot(hyperplane.normal()));
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return -(hyperplane.offset()+origin().eigen2_dot(hyperplane.normal()))
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/(direction().eigen2_dot(hyperplane.normal()));
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}
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#endif // EIGEN_PARAMETRIZEDLINE_H
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@ -22,8 +22,7 @@
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// License and a copy of the GNU General Public License along with
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// Eigen. If not, see <http://www.gnu.org/licenses/>.
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#ifndef EIGEN_QUATERNION_H
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#define EIGEN_QUATERNION_H
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// no include guard, we'll include this twice from All.h from Eigen2Support, and it's internal anyway
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template<typename Other,
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int OtherRows=Other::RowsAtCompileTime,
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@ -172,7 +171,7 @@ public:
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* corresponds to the cosine of half the angle between the two rotations.
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* \sa angularDistance()
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*/
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inline Scalar dot(const Quaternion& other) const { return m_coeffs.dot(other.m_coeffs); }
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inline Scalar eigen2_dot(const Quaternion& other) const { return m_coeffs.eigen2_dot(other.m_coeffs); }
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inline Scalar angularDistance(const Quaternion& other) const;
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@ -353,7 +352,7 @@ inline Quaternion<Scalar>& Quaternion<Scalar>::setFromTwoVectors(const MatrixBas
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{
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Vector3 v0 = a.normalized();
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Vector3 v1 = b.normalized();
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Scalar c = v0.dot(v1);
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Scalar c = v0.eigen2_dot(v1);
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// if dot == 1, vectors are the same
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if (ei_isApprox(c,Scalar(1)))
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@ -412,12 +411,12 @@ inline Quaternion<Scalar> Quaternion<Scalar>::conjugate() const
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}
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/** \returns the angle (in radian) between two rotations
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* \sa dot()
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* \sa eigen2_dot()
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*/
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template <typename Scalar>
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inline Scalar Quaternion<Scalar>::angularDistance(const Quaternion& other) const
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{
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double d = ei_abs(this->dot(other));
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double d = ei_abs(this->eigen2_dot(other));
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if (d>=1.0)
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return 0;
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return Scalar(2) * std::acos(d);
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@ -430,7 +429,7 @@ template <typename Scalar>
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Quaternion<Scalar> Quaternion<Scalar>::slerp(Scalar t, const Quaternion& other) const
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{
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static const Scalar one = Scalar(1) - machine_epsilon<Scalar>();
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Scalar d = this->dot(other);
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Scalar d = this->eigen2_dot(other);
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Scalar absD = ei_abs(d);
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Scalar scale0;
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@ -505,5 +504,3 @@ struct ei_quaternion_assign_impl<Other,4,1>
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q.coeffs() = vec;
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}
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};
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#endif // EIGEN_QUATERNION_H
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@ -22,8 +22,8 @@
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// License and a copy of the GNU General Public License along with
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// Eigen. If not, see <http://www.gnu.org/licenses/>.
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#ifndef EIGEN_ROTATION2D_H
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#define EIGEN_ROTATION2D_H
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// no include guard, we'll include this twice from All.h from Eigen2Support, and it's internal anyway
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/** \geometry_module \ingroup Geometry_Module
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*
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@ -155,5 +155,3 @@ Rotation2D<Scalar>::toRotationMatrix(void) const
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Scalar cosA = ei_cos(m_angle);
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return (Matrix2() << cosA, -sinA, sinA, cosA).finished();
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}
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#endif // EIGEN_ROTATION2D_H
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|
@ -22,8 +22,7 @@
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// License and a copy of the GNU General Public License along with
|
||||
// Eigen. If not, see <http://www.gnu.org/licenses/>.
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#ifndef EIGEN_ROTATIONBASE_H
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#define EIGEN_ROTATIONBASE_H
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// no include guard, we'll include this twice from All.h from Eigen2Support, and it's internal anyway
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// this file aims to contains the various representations of rotation/orientation
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// in 2D and 3D space excepted Matrix and Quaternion.
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@ -133,5 +132,3 @@ inline static const MatrixBase<OtherDerived>& ei_toRotationMatrix(const MatrixBa
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YOU_MADE_A_PROGRAMMING_MISTAKE)
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return mat;
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}
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#endif // EIGEN_ROTATIONBASE_H
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|
@ -22,8 +22,8 @@
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// License and a copy of the GNU General Public License along with
|
||||
// Eigen. If not, see <http://www.gnu.org/licenses/>.
|
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|
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#ifndef EIGEN_SCALING_H
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#define EIGEN_SCALING_H
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// no include guard, we'll include this twice from All.h from Eigen2Support, and it's internal anyway
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/** \geometry_module \ingroup Geometry_Module
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*
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@ -177,5 +177,3 @@ Scaling<Scalar,Dim>::operator* (const TransformType& t) const
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res.prescale(m_coeffs);
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return res;
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}
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#endif // EIGEN_SCALING_H
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|
@ -23,8 +23,8 @@
|
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// License and a copy of the GNU General Public License along with
|
||||
// Eigen. If not, see <http://www.gnu.org/licenses/>.
|
||||
|
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#ifndef EIGEN_TRANSFORM_H
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#define EIGEN_TRANSFORM_H
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// no include guard, we'll include this twice from All.h from Eigen2Support, and it's internal anyway
|
||||
|
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// Note that we have to pass Dim and HDim because it is not allowed to use a template
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// parameter to define a template specialization. To be more precise, in the following
|
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@ -796,5 +796,3 @@ struct ei_transform_product_impl<Other,Dim,HDim, Dim,1>
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{ return ((tr.linear() * other) + tr.translation())
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* (Scalar(1) / ( (tr.matrix().template block<1,Dim>(Dim,0) * other).coeff(0) + tr.matrix().coeff(Dim,Dim))); }
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};
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|
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#endif // EIGEN_TRANSFORM_H
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|
@ -22,8 +22,8 @@
|
||||
// License and a copy of the GNU General Public License along with
|
||||
// Eigen. If not, see <http://www.gnu.org/licenses/>.
|
||||
|
||||
#ifndef EIGEN_TRANSLATION_H
|
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#define EIGEN_TRANSLATION_H
|
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// no include guard, we'll include this twice from All.h from Eigen2Support, and it's internal anyway
|
||||
|
||||
|
||||
/** \geometry_module \ingroup Geometry_Module
|
||||
*
|
||||
@ -194,5 +194,3 @@ Translation<Scalar,Dim>::operator* (const TransformType& t) const
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res.pretranslate(m_coeffs);
|
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return res;
|
||||
}
|
||||
|
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#endif // EIGEN_TRANSLATION_H
|
||||
|
@ -22,8 +22,8 @@
|
||||
// License and a copy of the GNU General Public License along with
|
||||
// Eigen. If not, see <http://www.gnu.org/licenses/>.
|
||||
|
||||
#ifndef EIGEN_LEASTSQUARES_H
|
||||
#define EIGEN_LEASTSQUARES_H
|
||||
#ifndef EIGEN2_LEASTSQUARES_H
|
||||
#define EIGEN2_LEASTSQUARES_H
|
||||
|
||||
/** \ingroup LeastSquares_Module
|
||||
*
|
||||
@ -179,4 +179,4 @@ void fitHyperplane(int numPoints,
|
||||
}
|
||||
|
||||
|
||||
#endif // EIGEN_LEASTSQUARES_H
|
||||
#endif // EIGEN2_LEASTSQUARES_H
|
||||
|
@ -22,8 +22,8 @@
|
||||
// License and a copy of the GNU General Public License along with
|
||||
// Eigen. If not, see <http://www.gnu.org/licenses/>.
|
||||
|
||||
#ifndef EIGEN_SVD_H
|
||||
#define EIGEN_SVD_H
|
||||
#ifndef EIGEN2_SVD_H
|
||||
#define EIGEN2_SVD_H
|
||||
|
||||
/** \ingroup SVD_Module
|
||||
* \nonstableyet
|
||||
@ -150,7 +150,7 @@ void SVD<MatrixType>::compute(const MatrixType& matrix)
|
||||
if ((k < nct) && (m_sigma[k] != 0.0))
|
||||
{
|
||||
// Apply the transformation.
|
||||
Scalar t = matA.col(k).end(m-k).dot(matA.col(j).end(m-k)); // FIXME dot product or cwise prod + .sum() ??
|
||||
Scalar t = matA.col(k).end(m-k).eigen2_dot(matA.col(j).end(m-k)); // FIXME dot product or cwise prod + .sum() ??
|
||||
t = -t/matA(k,k);
|
||||
matA.col(j).end(m-k) += t * matA.col(k).end(m-k);
|
||||
}
|
||||
@ -216,7 +216,7 @@ void SVD<MatrixType>::compute(const MatrixType& matrix)
|
||||
{
|
||||
for (j = k+1; j < nu; ++j)
|
||||
{
|
||||
Scalar t = m_matU.col(k).end(m-k).dot(m_matU.col(j).end(m-k)); // FIXME is it really a dot product we want ?
|
||||
Scalar t = m_matU.col(k).end(m-k).eigen2_dot(m_matU.col(j).end(m-k)); // FIXME is it really a dot product we want ?
|
||||
t = -t/m_matU(k,k);
|
||||
m_matU.col(j).end(m-k) += t * m_matU.col(k).end(m-k);
|
||||
}
|
||||
@ -242,7 +242,7 @@ void SVD<MatrixType>::compute(const MatrixType& matrix)
|
||||
{
|
||||
for (j = k+1; j < nu; ++j)
|
||||
{
|
||||
Scalar t = m_matV.col(k).end(n-k-1).dot(m_matV.col(j).end(n-k-1)); // FIXME is it really a dot product we want ?
|
||||
Scalar t = m_matV.col(k).end(n-k-1).eigen2_dot(m_matV.col(j).end(n-k-1)); // FIXME is it really a dot product we want ?
|
||||
t = -t/m_matV(k+1,k);
|
||||
m_matV.col(j).end(n-k-1) += t * m_matV.col(k).end(n-k-1);
|
||||
}
|
||||
@ -646,4 +646,4 @@ MatrixBase<Derived>::svd() const
|
||||
return SVD<PlainObject>(derived());
|
||||
}
|
||||
|
||||
#endif // EIGEN_SVD_H
|
||||
#endif // EIGEN2_SVD_H
|
||||
|
@ -36,6 +36,7 @@ ei_add_test(eigen2_qr)
|
||||
ei_add_test(eigen2_eigensolver " " "${GSL_LIBRARIES}")
|
||||
ei_add_test(eigen2_svd)
|
||||
ei_add_test(eigen2_geometry)
|
||||
ei_add_test(eigen2_geometry_with_eigen2_prefix)
|
||||
ei_add_test(eigen2_hyperplane)
|
||||
ei_add_test(eigen2_parametrizedline)
|
||||
ei_add_test(eigen2_alignedbox)
|
||||
|
449
test/eigen2/eigen2_geometry_with_eigen2_prefix.cpp
Normal file
449
test/eigen2/eigen2_geometry_with_eigen2_prefix.cpp
Normal file
@ -0,0 +1,449 @@
|
||||
// This file is part of Eigen, a lightweight C++ template library
|
||||
// for linear algebra. Eigen itself is part of the KDE project.
|
||||
//
|
||||
// Copyright (C) 2008 Gael Guennebaud <g.gael@free.fr>
|
||||
//
|
||||
// Eigen 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 3 of the License, or (at your option) any later version.
|
||||
//
|
||||
// Alternatively, you can redistribute it and/or
|
||||
// modify it under the terms of the GNU General Public License as
|
||||
// published by the Free Software Foundation; either version 2 of
|
||||
// the License, or (at your option) any later version.
|
||||
//
|
||||
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
|
||||
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
|
||||
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
|
||||
// GNU General Public License for more details.
|
||||
//
|
||||
// You should have received a copy of the GNU Lesser General Public
|
||||
// License and a copy of the GNU General Public License along with
|
||||
// Eigen. If not, see <http://www.gnu.org/licenses/>.
|
||||
|
||||
#define EIGEN2_SUPPORT_STAGE15_RESOLVE_API_CONFLICTS_WARN
|
||||
|
||||
#include "main.h"
|
||||
#include <Eigen/Geometry>
|
||||
#include <Eigen/LU>
|
||||
#include <Eigen/SVD>
|
||||
|
||||
template<typename Scalar> void geometry(void)
|
||||
{
|
||||
/* this test covers the following files:
|
||||
Cross.h Quaternion.h, Transform.cpp
|
||||
*/
|
||||
|
||||
typedef Matrix<Scalar,2,2> Matrix2;
|
||||
typedef Matrix<Scalar,3,3> Matrix3;
|
||||
typedef Matrix<Scalar,4,4> Matrix4;
|
||||
typedef Matrix<Scalar,2,1> Vector2;
|
||||
typedef Matrix<Scalar,3,1> Vector3;
|
||||
typedef Matrix<Scalar,4,1> Vector4;
|
||||
typedef eigen2_Quaternion<Scalar> Quaternionx;
|
||||
typedef eigen2_AngleAxis<Scalar> AngleAxisx;
|
||||
typedef eigen2_Transform<Scalar,2> Transform2;
|
||||
typedef eigen2_Transform<Scalar,3> Transform3;
|
||||
typedef eigen2_Scaling<Scalar,2> Scaling2;
|
||||
typedef eigen2_Scaling<Scalar,3> Scaling3;
|
||||
typedef eigen2_Translation<Scalar,2> Translation2;
|
||||
typedef eigen2_Translation<Scalar,3> Translation3;
|
||||
|
||||
Scalar largeEps = test_precision<Scalar>();
|
||||
if (ei_is_same_type<Scalar,float>::ret)
|
||||
largeEps = 1e-2f;
|
||||
|
||||
Vector3 v0 = Vector3::Random(),
|
||||
v1 = Vector3::Random(),
|
||||
v2 = Vector3::Random();
|
||||
Vector2 u0 = Vector2::Random();
|
||||
Matrix3 matrot1;
|
||||
|
||||
Scalar a = ei_random<Scalar>(-Scalar(M_PI), Scalar(M_PI));
|
||||
|
||||
// cross product
|
||||
VERIFY_IS_MUCH_SMALLER_THAN(v1.cross(v2).eigen2_dot(v1), Scalar(1));
|
||||
Matrix3 m;
|
||||
m << v0.normalized(),
|
||||
(v0.cross(v1)).normalized(),
|
||||
(v0.cross(v1).cross(v0)).normalized();
|
||||
VERIFY(m.isUnitary());
|
||||
|
||||
// Quaternion: Identity(), setIdentity();
|
||||
Quaternionx q1, q2;
|
||||
q2.setIdentity();
|
||||
VERIFY_IS_APPROX(Quaternionx(Quaternionx::Identity()).coeffs(), q2.coeffs());
|
||||
q1.coeffs().setRandom();
|
||||
VERIFY_IS_APPROX(q1.coeffs(), (q1*q2).coeffs());
|
||||
|
||||
// unitOrthogonal
|
||||
VERIFY_IS_MUCH_SMALLER_THAN(u0.unitOrthogonal().eigen2_dot(u0), Scalar(1));
|
||||
VERIFY_IS_MUCH_SMALLER_THAN(v0.unitOrthogonal().eigen2_dot(v0), Scalar(1));
|
||||
VERIFY_IS_APPROX(u0.unitOrthogonal().norm(), Scalar(1));
|
||||
VERIFY_IS_APPROX(v0.unitOrthogonal().norm(), Scalar(1));
|
||||
|
||||
|
||||
VERIFY_IS_APPROX(v0, AngleAxisx(a, v0.normalized()) * v0);
|
||||
VERIFY_IS_APPROX(-v0, AngleAxisx(Scalar(M_PI), v0.unitOrthogonal()) * v0);
|
||||
VERIFY_IS_APPROX(ei_cos(a)*v0.squaredNorm(), v0.eigen2_dot(AngleAxisx(a, v0.unitOrthogonal()) * v0));
|
||||
m = AngleAxisx(a, v0.normalized()).toRotationMatrix().adjoint();
|
||||
VERIFY_IS_APPROX(Matrix3::Identity(), m * AngleAxisx(a, v0.normalized()));
|
||||
VERIFY_IS_APPROX(Matrix3::Identity(), AngleAxisx(a, v0.normalized()) * m);
|
||||
|
||||
q1 = AngleAxisx(a, v0.normalized());
|
||||
q2 = AngleAxisx(a, v1.normalized());
|
||||
|
||||
// angular distance
|
||||
Scalar refangle = ei_abs(AngleAxisx(q1.inverse()*q2).angle());
|
||||
if (refangle>Scalar(M_PI))
|
||||
refangle = Scalar(2)*Scalar(M_PI) - refangle;
|
||||
|
||||
if((q1.coeffs()-q2.coeffs()).norm() > 10*largeEps)
|
||||
{
|
||||
VERIFY(ei_isApprox(q1.angularDistance(q2), refangle, largeEps));
|
||||
}
|
||||
|
||||
// rotation matrix conversion
|
||||
VERIFY_IS_APPROX(q1 * v2, q1.toRotationMatrix() * v2);
|
||||
VERIFY_IS_APPROX(q1 * q2 * v2,
|
||||
q1.toRotationMatrix() * q2.toRotationMatrix() * v2);
|
||||
|
||||
VERIFY( (q2*q1).isApprox(q1*q2, largeEps) || !(q2 * q1 * v2).isApprox(
|
||||
q1.toRotationMatrix() * q2.toRotationMatrix() * v2));
|
||||
|
||||
q2 = q1.toRotationMatrix();
|
||||
VERIFY_IS_APPROX(q1*v1,q2*v1);
|
||||
|
||||
matrot1 = AngleAxisx(Scalar(0.1), Vector3::UnitX())
|
||||
* AngleAxisx(Scalar(0.2), Vector3::UnitY())
|
||||
* AngleAxisx(Scalar(0.3), Vector3::UnitZ());
|
||||
VERIFY_IS_APPROX(matrot1 * v1,
|
||||
AngleAxisx(Scalar(0.1), Vector3(1,0,0)).toRotationMatrix()
|
||||
* (AngleAxisx(Scalar(0.2), Vector3(0,1,0)).toRotationMatrix()
|
||||
* (AngleAxisx(Scalar(0.3), Vector3(0,0,1)).toRotationMatrix() * v1)));
|
||||
|
||||
// angle-axis conversion
|
||||
AngleAxisx aa = q1;
|
||||
VERIFY_IS_APPROX(q1 * v1, Quaternionx(aa) * v1);
|
||||
VERIFY_IS_NOT_APPROX(q1 * v1, Quaternionx(AngleAxisx(aa.angle()*2,aa.axis())) * v1);
|
||||
|
||||
// from two vector creation
|
||||
VERIFY_IS_APPROX(v2.normalized(),(q2.setFromTwoVectors(v1,v2)*v1).normalized());
|
||||
VERIFY_IS_APPROX(v2.normalized(),(q2.setFromTwoVectors(v1,v2)*v1).normalized());
|
||||
|
||||
// inverse and conjugate
|
||||
VERIFY_IS_APPROX(q1 * (q1.inverse() * v1), v1);
|
||||
VERIFY_IS_APPROX(q1 * (q1.conjugate() * v1), v1);
|
||||
|
||||
// AngleAxis
|
||||
VERIFY_IS_APPROX(AngleAxisx(a,v1.normalized()).toRotationMatrix(),
|
||||
Quaternionx(AngleAxisx(a,v1.normalized())).toRotationMatrix());
|
||||
|
||||
AngleAxisx aa1;
|
||||
m = q1.toRotationMatrix();
|
||||
aa1 = m;
|
||||
VERIFY_IS_APPROX(AngleAxisx(m).toRotationMatrix(),
|
||||
Quaternionx(m).toRotationMatrix());
|
||||
|
||||
// Transform
|
||||
// TODO complete the tests !
|
||||
a = 0;
|
||||
while (ei_abs(a)<Scalar(0.1))
|
||||
a = ei_random<Scalar>(-Scalar(0.4)*Scalar(M_PI), Scalar(0.4)*Scalar(M_PI));
|
||||
q1 = AngleAxisx(a, v0.normalized());
|
||||
Transform3 t0, t1, t2;
|
||||
// first test setIdentity() and Identity()
|
||||
t0.setIdentity();
|
||||
VERIFY_IS_APPROX(t0.matrix(), Transform3::MatrixType::Identity());
|
||||
t0.matrix().setZero();
|
||||
t0 = Transform3::Identity();
|
||||
VERIFY_IS_APPROX(t0.matrix(), Transform3::MatrixType::Identity());
|
||||
|
||||
t0.linear() = q1.toRotationMatrix();
|
||||
t1.setIdentity();
|
||||
t1.linear() = q1.toRotationMatrix();
|
||||
|
||||
v0 << 50, 2, 1;//= ei_random_matrix<Vector3>().cwiseProduct(Vector3(10,2,0.5));
|
||||
t0.scale(v0);
|
||||
t1.prescale(v0);
|
||||
|
||||
VERIFY_IS_APPROX( (t0 * Vector3(1,0,0)).norm(), v0.x());
|
||||
//VERIFY(!ei_isApprox((t1 * Vector3(1,0,0)).norm(), v0.x()));
|
||||
|
||||
t0.setIdentity();
|
||||
t1.setIdentity();
|
||||
v1 << 1, 2, 3;
|
||||
t0.linear() = q1.toRotationMatrix();
|
||||
t0.pretranslate(v0);
|
||||
t0.scale(v1);
|
||||
t1.linear() = q1.conjugate().toRotationMatrix();
|
||||
t1.prescale(v1.cwise().inverse());
|
||||
t1.translate(-v0);
|
||||
|
||||
VERIFY((t0.matrix() * t1.matrix()).isIdentity(test_precision<Scalar>()));
|
||||
|
||||
t1.fromPositionOrientationScale(v0, q1, v1);
|
||||
VERIFY_IS_APPROX(t1.matrix(), t0.matrix());
|
||||
VERIFY_IS_APPROX(t1*v1, t0*v1);
|
||||
|
||||
t0.setIdentity(); t0.scale(v0).rotate(q1.toRotationMatrix());
|
||||
t1.setIdentity(); t1.scale(v0).rotate(q1);
|
||||
VERIFY_IS_APPROX(t0.matrix(), t1.matrix());
|
||||
|
||||
t0.setIdentity(); t0.scale(v0).rotate(AngleAxisx(q1));
|
||||
VERIFY_IS_APPROX(t0.matrix(), t1.matrix());
|
||||
|
||||
VERIFY_IS_APPROX(t0.scale(a).matrix(), t1.scale(Vector3::Constant(a)).matrix());
|
||||
VERIFY_IS_APPROX(t0.prescale(a).matrix(), t1.prescale(Vector3::Constant(a)).matrix());
|
||||
|
||||
// More transform constructors, operator=, operator*=
|
||||
|
||||
Matrix3 mat3 = Matrix3::Random();
|
||||
Matrix4 mat4;
|
||||
mat4 << mat3 , Vector3::Zero() , Vector4::Zero().transpose();
|
||||
Transform3 tmat3(mat3), tmat4(mat4);
|
||||
tmat4.matrix()(3,3) = Scalar(1);
|
||||
VERIFY_IS_APPROX(tmat3.matrix(), tmat4.matrix());
|
||||
|
||||
Scalar a3 = ei_random<Scalar>(-Scalar(M_PI), Scalar(M_PI));
|
||||
Vector3 v3 = Vector3::Random().normalized();
|
||||
AngleAxisx aa3(a3, v3);
|
||||
Transform3 t3(aa3);
|
||||
Transform3 t4;
|
||||
t4 = aa3;
|
||||
VERIFY_IS_APPROX(t3.matrix(), t4.matrix());
|
||||
t4.rotate(AngleAxisx(-a3,v3));
|
||||
VERIFY_IS_APPROX(t4.matrix(), Matrix4::Identity());
|
||||
t4 *= aa3;
|
||||
VERIFY_IS_APPROX(t3.matrix(), t4.matrix());
|
||||
|
||||
v3 = Vector3::Random();
|
||||
Translation3 tv3(v3);
|
||||
Transform3 t5(tv3);
|
||||
t4 = tv3;
|
||||
VERIFY_IS_APPROX(t5.matrix(), t4.matrix());
|
||||
t4.translate(-v3);
|
||||
VERIFY_IS_APPROX(t4.matrix(), Matrix4::Identity());
|
||||
t4 *= tv3;
|
||||
VERIFY_IS_APPROX(t5.matrix(), t4.matrix());
|
||||
|
||||
Scaling3 sv3(v3);
|
||||
Transform3 t6(sv3);
|
||||
t4 = sv3;
|
||||
VERIFY_IS_APPROX(t6.matrix(), t4.matrix());
|
||||
t4.scale(v3.cwise().inverse());
|
||||
VERIFY_IS_APPROX(t4.matrix(), Matrix4::Identity());
|
||||
t4 *= sv3;
|
||||
VERIFY_IS_APPROX(t6.matrix(), t4.matrix());
|
||||
|
||||
// matrix * transform
|
||||
VERIFY_IS_APPROX(Transform3(t3.matrix()*t4).matrix(), Transform3(t3*t4).matrix());
|
||||
|
||||
// chained Transform product
|
||||
VERIFY_IS_APPROX(((t3*t4)*t5).matrix(), (t3*(t4*t5)).matrix());
|
||||
|
||||
// check that Transform product doesn't have aliasing problems
|
||||
t5 = t4;
|
||||
t5 = t5*t5;
|
||||
VERIFY_IS_APPROX(t5, t4*t4);
|
||||
|
||||
// 2D transformation
|
||||
Transform2 t20, t21;
|
||||
Vector2 v20 = Vector2::Random();
|
||||
Vector2 v21 = Vector2::Random();
|
||||
for (int k=0; k<2; ++k)
|
||||
if (ei_abs(v21[k])<Scalar(1e-3)) v21[k] = Scalar(1e-3);
|
||||
t21.setIdentity();
|
||||
t21.linear() = Rotation2D<Scalar>(a).toRotationMatrix();
|
||||
VERIFY_IS_APPROX(t20.fromPositionOrientationScale(v20,a,v21).matrix(),
|
||||
t21.pretranslate(v20).scale(v21).matrix());
|
||||
|
||||
t21.setIdentity();
|
||||
t21.linear() = Rotation2D<Scalar>(-a).toRotationMatrix();
|
||||
VERIFY( (t20.fromPositionOrientationScale(v20,a,v21)
|
||||
* (t21.prescale(v21.cwise().inverse()).translate(-v20))).matrix().isIdentity(test_precision<Scalar>()) );
|
||||
|
||||
// Transform - new API
|
||||
// 3D
|
||||
t0.setIdentity();
|
||||
t0.rotate(q1).scale(v0).translate(v0);
|
||||
// mat * scaling and mat * translation
|
||||
t1 = (Matrix3(q1) * Scaling3(v0)) * Translation3(v0);
|
||||
VERIFY_IS_APPROX(t0.matrix(), t1.matrix());
|
||||
// mat * transformation and scaling * translation
|
||||
t1 = Matrix3(q1) * (Scaling3(v0) * Translation3(v0));
|
||||
VERIFY_IS_APPROX(t0.matrix(), t1.matrix());
|
||||
|
||||
t0.setIdentity();
|
||||
t0.prerotate(q1).prescale(v0).pretranslate(v0);
|
||||
// translation * scaling and transformation * mat
|
||||
t1 = (Translation3(v0) * Scaling3(v0)) * Matrix3(q1);
|
||||
VERIFY_IS_APPROX(t0.matrix(), t1.matrix());
|
||||
// scaling * mat and translation * mat
|
||||
t1 = Translation3(v0) * (Scaling3(v0) * Matrix3(q1));
|
||||
VERIFY_IS_APPROX(t0.matrix(), t1.matrix());
|
||||
|
||||
t0.setIdentity();
|
||||
t0.scale(v0).translate(v0).rotate(q1);
|
||||
// translation * mat and scaling * transformation
|
||||
t1 = Scaling3(v0) * (Translation3(v0) * Matrix3(q1));
|
||||
VERIFY_IS_APPROX(t0.matrix(), t1.matrix());
|
||||
// transformation * scaling
|
||||
t0.scale(v0);
|
||||
t1 = t1 * Scaling3(v0);
|
||||
VERIFY_IS_APPROX(t0.matrix(), t1.matrix());
|
||||
// transformation * translation
|
||||
t0.translate(v0);
|
||||
t1 = t1 * Translation3(v0);
|
||||
VERIFY_IS_APPROX(t0.matrix(), t1.matrix());
|
||||
// translation * transformation
|
||||
t0.pretranslate(v0);
|
||||
t1 = Translation3(v0) * t1;
|
||||
VERIFY_IS_APPROX(t0.matrix(), t1.matrix());
|
||||
|
||||
// transform * quaternion
|
||||
t0.rotate(q1);
|
||||
t1 = t1 * q1;
|
||||
VERIFY_IS_APPROX(t0.matrix(), t1.matrix());
|
||||
|
||||
// translation * quaternion
|
||||
t0.translate(v1).rotate(q1);
|
||||
t1 = t1 * (Translation3(v1) * q1);
|
||||
VERIFY_IS_APPROX(t0.matrix(), t1.matrix());
|
||||
|
||||
// scaling * quaternion
|
||||
t0.scale(v1).rotate(q1);
|
||||
t1 = t1 * (Scaling3(v1) * q1);
|
||||
VERIFY_IS_APPROX(t0.matrix(), t1.matrix());
|
||||
|
||||
// quaternion * transform
|
||||
t0.prerotate(q1);
|
||||
t1 = q1 * t1;
|
||||
VERIFY_IS_APPROX(t0.matrix(), t1.matrix());
|
||||
|
||||
// quaternion * translation
|
||||
t0.rotate(q1).translate(v1);
|
||||
t1 = t1 * (q1 * Translation3(v1));
|
||||
VERIFY_IS_APPROX(t0.matrix(), t1.matrix());
|
||||
|
||||
// quaternion * scaling
|
||||
t0.rotate(q1).scale(v1);
|
||||
t1 = t1 * (q1 * Scaling3(v1));
|
||||
VERIFY_IS_APPROX(t0.matrix(), t1.matrix());
|
||||
|
||||
// translation * vector
|
||||
t0.setIdentity();
|
||||
t0.translate(v0);
|
||||
VERIFY_IS_APPROX(t0 * v1, Translation3(v0) * v1);
|
||||
|
||||
// scaling * vector
|
||||
t0.setIdentity();
|
||||
t0.scale(v0);
|
||||
VERIFY_IS_APPROX(t0 * v1, Scaling3(v0) * v1);
|
||||
|
||||
// test transform inversion
|
||||
t0.setIdentity();
|
||||
t0.translate(v0);
|
||||
t0.linear().setRandom();
|
||||
VERIFY_IS_APPROX(t0.inverse(Affine), t0.matrix().inverse());
|
||||
t0.setIdentity();
|
||||
t0.translate(v0).rotate(q1);
|
||||
VERIFY_IS_APPROX(t0.inverse(Isometry), t0.matrix().inverse());
|
||||
|
||||
// test extract rotation and scaling
|
||||
t0.setIdentity();
|
||||
t0.translate(v0).rotate(q1).scale(v1);
|
||||
VERIFY_IS_APPROX(t0.rotation() * v1, Matrix3(q1) * v1);
|
||||
|
||||
Matrix3 mat_rotation, mat_scaling;
|
||||
t0.setIdentity();
|
||||
t0.translate(v0).rotate(q1).scale(v1);
|
||||
t0.computeRotationScaling(&mat_rotation, &mat_scaling);
|
||||
VERIFY_IS_APPROX(t0.linear(), mat_rotation * mat_scaling);
|
||||
VERIFY_IS_APPROX(mat_rotation*mat_rotation.adjoint(), Matrix3::Identity());
|
||||
VERIFY_IS_APPROX(mat_rotation.determinant(), Scalar(1));
|
||||
t0.computeScalingRotation(&mat_scaling, &mat_rotation);
|
||||
VERIFY_IS_APPROX(t0.linear(), mat_scaling * mat_rotation);
|
||||
VERIFY_IS_APPROX(mat_rotation*mat_rotation.adjoint(), Matrix3::Identity());
|
||||
VERIFY_IS_APPROX(mat_rotation.determinant(), Scalar(1));
|
||||
|
||||
// test casting
|
||||
eigen2_Transform<float,3> t1f = t1.template cast<float>();
|
||||
VERIFY_IS_APPROX(t1f.template cast<Scalar>(),t1);
|
||||
eigen2_Transform<double,3> t1d = t1.template cast<double>();
|
||||
VERIFY_IS_APPROX(t1d.template cast<Scalar>(),t1);
|
||||
|
||||
Translation3 tr1(v0);
|
||||
eigen2_Translation<float,3> tr1f = tr1.template cast<float>();
|
||||
VERIFY_IS_APPROX(tr1f.template cast<Scalar>(),tr1);
|
||||
eigen2_Translation<double,3> tr1d = tr1.template cast<double>();
|
||||
VERIFY_IS_APPROX(tr1d.template cast<Scalar>(),tr1);
|
||||
|
||||
Scaling3 sc1(v0);
|
||||
eigen2_Scaling<float,3> sc1f = sc1.template cast<float>();
|
||||
VERIFY_IS_APPROX(sc1f.template cast<Scalar>(),sc1);
|
||||
eigen2_Scaling<double,3> sc1d = sc1.template cast<double>();
|
||||
VERIFY_IS_APPROX(sc1d.template cast<Scalar>(),sc1);
|
||||
|
||||
eigen2_Quaternion<float> q1f = q1.template cast<float>();
|
||||
VERIFY_IS_APPROX(q1f.template cast<Scalar>(),q1);
|
||||
eigen2_Quaternion<double> q1d = q1.template cast<double>();
|
||||
VERIFY_IS_APPROX(q1d.template cast<Scalar>(),q1);
|
||||
|
||||
eigen2_AngleAxis<float> aa1f = aa1.template cast<float>();
|
||||
VERIFY_IS_APPROX(aa1f.template cast<Scalar>(),aa1);
|
||||
eigen2_AngleAxis<double> aa1d = aa1.template cast<double>();
|
||||
VERIFY_IS_APPROX(aa1d.template cast<Scalar>(),aa1);
|
||||
|
||||
eigen2_Rotation2D<Scalar> r2d1(ei_random<Scalar>());
|
||||
eigen2_Rotation2D<float> r2d1f = r2d1.template cast<float>();
|
||||
VERIFY_IS_APPROX(r2d1f.template cast<Scalar>(),r2d1);
|
||||
eigen2_Rotation2D<double> r2d1d = r2d1.template cast<double>();
|
||||
VERIFY_IS_APPROX(r2d1d.template cast<Scalar>(),r2d1);
|
||||
|
||||
m = q1;
|
||||
// m.col(1) = Vector3(0,ei_random<Scalar>(),ei_random<Scalar>()).normalized();
|
||||
// m.col(0) = Vector3(-1,0,0).normalized();
|
||||
// m.col(2) = m.col(0).cross(m.col(1));
|
||||
#define VERIFY_EULER(I,J,K, X,Y,Z) { \
|
||||
Vector3 ea = m.eulerAngles(I,J,K); \
|
||||
Matrix3 m1 = Matrix3(AngleAxisx(ea[0], Vector3::Unit##X()) * AngleAxisx(ea[1], Vector3::Unit##Y()) * AngleAxisx(ea[2], Vector3::Unit##Z())); \
|
||||
VERIFY_IS_APPROX(m, Matrix3(AngleAxisx(ea[0], Vector3::Unit##X()) * AngleAxisx(ea[1], Vector3::Unit##Y()) * AngleAxisx(ea[2], Vector3::Unit##Z()))); \
|
||||
}
|
||||
VERIFY_EULER(0,1,2, X,Y,Z);
|
||||
VERIFY_EULER(0,1,0, X,Y,X);
|
||||
VERIFY_EULER(0,2,1, X,Z,Y);
|
||||
VERIFY_EULER(0,2,0, X,Z,X);
|
||||
|
||||
VERIFY_EULER(1,2,0, Y,Z,X);
|
||||
VERIFY_EULER(1,2,1, Y,Z,Y);
|
||||
VERIFY_EULER(1,0,2, Y,X,Z);
|
||||
VERIFY_EULER(1,0,1, Y,X,Y);
|
||||
|
||||
VERIFY_EULER(2,0,1, Z,X,Y);
|
||||
VERIFY_EULER(2,0,2, Z,X,Z);
|
||||
VERIFY_EULER(2,1,0, Z,Y,X);
|
||||
VERIFY_EULER(2,1,2, Z,Y,Z);
|
||||
|
||||
// colwise/rowwise cross product
|
||||
mat3.setRandom();
|
||||
Vector3 vec3 = Vector3::Random();
|
||||
Matrix3 mcross;
|
||||
int i = ei_random<int>(0,2);
|
||||
mcross = mat3.colwise().cross(vec3);
|
||||
VERIFY_IS_APPROX(mcross.col(i), mat3.col(i).cross(vec3));
|
||||
mcross = mat3.rowwise().cross(vec3);
|
||||
VERIFY_IS_APPROX(mcross.row(i), mat3.row(i).cross(vec3));
|
||||
|
||||
|
||||
}
|
||||
|
||||
void test_eigen2_geometry_with_eigen2_prefix()
|
||||
{
|
||||
std::cout << "eigen2 support: " << EIGEN2_SUPPORT_STAGE << std::endl;
|
||||
for(int i = 0; i < g_repeat; i++) {
|
||||
CALL_SUBTEST_1( geometry<float>() );
|
||||
CALL_SUBTEST_2( geometry<double>() );
|
||||
}
|
||||
}
|
Loading…
Reference in New Issue
Block a user