Hyperplane.h
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00001 // This file is part of Eigen, a lightweight C++ template library
00002 // for linear algebra.
00003 //
00004 // Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
00005 // Copyright (C) 2008 Benoit Jacob <jacob.benoit.1@gmail.com>
00006 //
00007 // This Source Code Form is subject to the terms of the Mozilla
00008 // Public License v. 2.0. If a copy of the MPL was not distributed
00009 // with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
00010 
00011 #ifndef EIGEN_HYPERPLANE_H
00012 #define EIGEN_HYPERPLANE_H
00013 
00014 namespace Eigen { 
00015 
00033 template <typename _Scalar, int _AmbientDim, int _Options>
00034 class Hyperplane
00035 {
00036 public:
00037   EIGEN_MAKE_ALIGNED_OPERATOR_NEW_IF_VECTORIZABLE_FIXED_SIZE(_Scalar,_AmbientDim==Dynamic ? Dynamic : _AmbientDim+1)
00038   enum {
00039     AmbientDimAtCompileTime = _AmbientDim,
00040     Options = _Options
00041   };
00042   typedef _Scalar Scalar;
00043   typedef typename NumTraits<Scalar>::Real RealScalar;
00044   typedef DenseIndex Index;
00045   typedef Matrix<Scalar,AmbientDimAtCompileTime,1> VectorType;
00046   typedef Matrix<Scalar,Index(AmbientDimAtCompileTime)==Dynamic
00047                         ? Dynamic
00048                         : Index(AmbientDimAtCompileTime)+1,1,Options> Coefficients;
00049   typedef Block<Coefficients,AmbientDimAtCompileTime,1> NormalReturnType;
00050   typedef const Block<const Coefficients,AmbientDimAtCompileTime,1> ConstNormalReturnType;
00051 
00053   inline Hyperplane() {}
00054   
00055   template<int OtherOptions>
00056   Hyperplane(const Hyperplane<Scalar,AmbientDimAtCompileTime,OtherOptions>& other)
00057    : m_coeffs(other.coeffs())
00058   {}
00059 
00062   inline explicit Hyperplane(Index _dim) : m_coeffs(_dim+1) {}
00063 
00067   inline Hyperplane(const VectorType& n, const VectorType& e)
00068     : m_coeffs(n.size()+1)
00069   {
00070     normal() = n;
00071     offset() = -n.dot(e);
00072   }
00073 
00078   inline Hyperplane(const VectorType& n, const Scalar& d)
00079     : m_coeffs(n.size()+1)
00080   {
00081     normal() = n;
00082     offset() = d;
00083   }
00084 
00088   static inline Hyperplane Through(const VectorType& p0, const VectorType& p1)
00089   {
00090     Hyperplane result(p0.size());
00091     result.normal() = (p1 - p0).unitOrthogonal();
00092     result.offset() = -p0.dot(result.normal());
00093     return result;
00094   }
00095 
00099   static inline Hyperplane Through(const VectorType& p0, const VectorType& p1, const VectorType& p2)
00100   {
00101     EIGEN_STATIC_ASSERT_VECTOR_SPECIFIC_SIZE(VectorType, 3)
00102     Hyperplane result(p0.size());
00103     VectorType v0(p2 - p0), v1(p1 - p0);
00104     result.normal() = v0.cross(v1);
00105     RealScalar norm = result.normal().norm();
00106     if(norm <= v0.norm() * v1.norm() * NumTraits<RealScalar>::epsilon())
00107     {
00108       Matrix<Scalar,2,3> m; m << v0.transpose(), v1.transpose();
00109       JacobiSVD<Matrix<Scalar,2,3> > svd(m, ComputeFullV);
00110       result.normal() = svd.matrixV().col(2);
00111     }
00112     else
00113       result.normal() /= norm;
00114     result.offset() = -p0.dot(result.normal());
00115     return result;
00116   }
00117 
00122   // FIXME to be consitent with the rest this could be implemented as a static Through function ??
00123   explicit Hyperplane(const ParametrizedLine<Scalar, AmbientDimAtCompileTime>& parametrized)
00124   {
00125     normal() = parametrized.direction().unitOrthogonal();
00126     offset() = -parametrized.origin().dot(normal());
00127   }
00128 
00129   ~Hyperplane() {}
00130 
00132   inline Index dim() const { return AmbientDimAtCompileTime==Dynamic ? m_coeffs.size()-1 : Index(AmbientDimAtCompileTime); }
00133 
00135   void normalize(void)
00136   {
00137     m_coeffs /= normal().norm();
00138   }
00139 
00143   inline Scalar signedDistance(const VectorType& p) const { return normal().dot(p) + offset(); }
00144 
00148   inline Scalar absDistance(const VectorType& p) const { using std::abs; return abs(signedDistance(p)); }
00149 
00152   inline VectorType projection(const VectorType& p) const { return p - signedDistance(p) * normal(); }
00153 
00157   inline ConstNormalReturnType normal() const { return ConstNormalReturnType(m_coeffs,0,0,dim(),1); }
00158 
00162   inline NormalReturnType normal() { return NormalReturnType(m_coeffs,0,0,dim(),1); }
00163 
00167   inline const Scalar& offset() const { return m_coeffs.coeff(dim()); }
00168 
00171   inline Scalar& offset() { return m_coeffs(dim()); }
00172 
00176   inline const Coefficients& coeffs() const { return m_coeffs; }
00177 
00181   inline Coefficients& coeffs() { return m_coeffs; }
00182 
00189   VectorType intersection(const Hyperplane& other) const
00190   {
00191     using std::abs;
00192     EIGEN_STATIC_ASSERT_VECTOR_SPECIFIC_SIZE(VectorType, 2)
00193     Scalar det = coeffs().coeff(0) * other.coeffs().coeff(1) - coeffs().coeff(1) * other.coeffs().coeff(0);
00194     // since the line equations ax+by=c are normalized with a^2+b^2=1, the following tests
00195     // whether the two lines are approximately parallel.
00196     if(internal::isMuchSmallerThan(det, Scalar(1)))
00197     {   // special case where the two lines are approximately parallel. Pick any point on the first line.
00198         if(abs(coeffs().coeff(1))>abs(coeffs().coeff(0)))
00199             return VectorType(coeffs().coeff(1), -coeffs().coeff(2)/coeffs().coeff(1)-coeffs().coeff(0));
00200         else
00201             return VectorType(-coeffs().coeff(2)/coeffs().coeff(0)-coeffs().coeff(1), coeffs().coeff(0));
00202     }
00203     else
00204     {   // general case
00205         Scalar invdet = Scalar(1) / det;
00206         return VectorType(invdet*(coeffs().coeff(1)*other.coeffs().coeff(2)-other.coeffs().coeff(1)*coeffs().coeff(2)),
00207                           invdet*(other.coeffs().coeff(0)*coeffs().coeff(2)-coeffs().coeff(0)*other.coeffs().coeff(2)));
00208     }
00209   }
00210 
00217   template<typename XprType>
00218   inline Hyperplane& transform(const MatrixBase<XprType>& mat, TransformTraits traits = Affine)
00219   {
00220     if (traits==Affine)
00221       normal() = mat.inverse().transpose() * normal();
00222     else if (traits==Isometry)
00223       normal() = mat * normal();
00224     else
00225     {
00226       eigen_assert(0 && "invalid traits value in Hyperplane::transform()");
00227     }
00228     return *this;
00229   }
00230 
00238   template<int TrOptions>
00239   inline Hyperplane& transform(const Transform<Scalar,AmbientDimAtCompileTime,Affine,TrOptions>& t,
00240                                 TransformTraits traits = Affine)
00241   {
00242     transform(t.linear(), traits);
00243     offset() -= normal().dot(t.translation());
00244     return *this;
00245   }
00246 
00252   template<typename NewScalarType>
00253   inline typename internal::cast_return_type<Hyperplane,
00254            Hyperplane<NewScalarType,AmbientDimAtCompileTime,Options> >::type cast() const
00255   {
00256     return typename internal::cast_return_type<Hyperplane,
00257                     Hyperplane<NewScalarType,AmbientDimAtCompileTime,Options> >::type(*this);
00258   }
00259 
00261   template<typename OtherScalarType,int OtherOptions>
00262   inline explicit Hyperplane(const Hyperplane<OtherScalarType,AmbientDimAtCompileTime,OtherOptions>& other)
00263   { m_coeffs = other.coeffs().template cast<Scalar>(); }
00264 
00269   template<int OtherOptions>
00270   bool isApprox(const Hyperplane<Scalar,AmbientDimAtCompileTime,OtherOptions>& other, const typename NumTraits<Scalar>::Real& prec = NumTraits<Scalar>::dummy_precision()) const
00271   { return m_coeffs.isApprox(other.m_coeffs, prec); }
00272 
00273 protected:
00274 
00275   Coefficients m_coeffs;
00276 };
00277 
00278 } // end namespace Eigen
00279 
00280 #endif // EIGEN_HYPERPLANE_H


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autogenerated on Thu Jun 6 2019 20:58:27