Go to the documentation of this file.00001
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00013 namespace Eigen {
00014
00032 template <typename _Scalar, int _AmbientDim>
00033 class Hyperplane
00034 {
00035 public:
00036 EIGEN_MAKE_ALIGNED_OPERATOR_NEW_IF_VECTORIZABLE_FIXED_SIZE(_Scalar,_AmbientDim==Dynamic ? Dynamic : _AmbientDim+1)
00037 enum { AmbientDimAtCompileTime = _AmbientDim };
00038 typedef _Scalar Scalar;
00039 typedef typename NumTraits<Scalar>::Real RealScalar;
00040 typedef Matrix<Scalar,AmbientDimAtCompileTime,1> VectorType;
00041 typedef Matrix<Scalar,int(AmbientDimAtCompileTime)==Dynamic
00042 ? Dynamic
00043 : int(AmbientDimAtCompileTime)+1,1> Coefficients;
00044 typedef Block<Coefficients,AmbientDimAtCompileTime,1> NormalReturnType;
00045
00047 inline Hyperplane() {}
00048
00051 inline explicit Hyperplane(int _dim) : m_coeffs(_dim+1) {}
00052
00056 inline Hyperplane(const VectorType& n, const VectorType& e)
00057 : m_coeffs(n.size()+1)
00058 {
00059 normal() = n;
00060 offset() = -e.eigen2_dot(n);
00061 }
00062
00067 inline Hyperplane(const VectorType& n, Scalar d)
00068 : m_coeffs(n.size()+1)
00069 {
00070 normal() = n;
00071 offset() = d;
00072 }
00073
00077 static inline Hyperplane Through(const VectorType& p0, const VectorType& p1)
00078 {
00079 Hyperplane result(p0.size());
00080 result.normal() = (p1 - p0).unitOrthogonal();
00081 result.offset() = -result.normal().eigen2_dot(p0);
00082 return result;
00083 }
00084
00088 static inline Hyperplane Through(const VectorType& p0, const VectorType& p1, const VectorType& p2)
00089 {
00090 EIGEN_STATIC_ASSERT_VECTOR_SPECIFIC_SIZE(VectorType, 3)
00091 Hyperplane result(p0.size());
00092 result.normal() = (p2 - p0).cross(p1 - p0).normalized();
00093 result.offset() = -result.normal().eigen2_dot(p0);
00094 return result;
00095 }
00096
00101
00102 explicit Hyperplane(const ParametrizedLine<Scalar, AmbientDimAtCompileTime>& parametrized)
00103 {
00104 normal() = parametrized.direction().unitOrthogonal();
00105 offset() = -normal().eigen2_dot(parametrized.origin());
00106 }
00107
00108 ~Hyperplane() {}
00109
00111 inline int dim() const { return int(AmbientDimAtCompileTime)==Dynamic ? m_coeffs.size()-1 : int(AmbientDimAtCompileTime); }
00112
00114 void normalize(void)
00115 {
00116 m_coeffs /= normal().norm();
00117 }
00118
00122 inline Scalar signedDistance(const VectorType& p) const { return p.eigen2_dot(normal()) + offset(); }
00123
00127 inline Scalar absDistance(const VectorType& p) const { return ei_abs(signedDistance(p)); }
00128
00131 inline VectorType projection(const VectorType& p) const { return p - signedDistance(p) * normal(); }
00132
00136 inline const NormalReturnType normal() const { return NormalReturnType(*const_cast<Coefficients*>(&m_coeffs),0,0,dim(),1); }
00137
00141 inline NormalReturnType normal() { return NormalReturnType(m_coeffs,0,0,dim(),1); }
00142
00146 inline const Scalar& offset() const { return m_coeffs.coeff(dim()); }
00147
00150 inline Scalar& offset() { return m_coeffs(dim()); }
00151
00155 inline const Coefficients& coeffs() const { return m_coeffs; }
00156
00160 inline Coefficients& coeffs() { return m_coeffs; }
00161
00168 VectorType intersection(const Hyperplane& other)
00169 {
00170 EIGEN_STATIC_ASSERT_VECTOR_SPECIFIC_SIZE(VectorType, 2)
00171 Scalar det = coeffs().coeff(0) * other.coeffs().coeff(1) - coeffs().coeff(1) * other.coeffs().coeff(0);
00172
00173
00174 if(ei_isMuchSmallerThan(det, Scalar(1)))
00175 {
00176 if(ei_abs(coeffs().coeff(1))>ei_abs(coeffs().coeff(0)))
00177 return VectorType(coeffs().coeff(1), -coeffs().coeff(2)/coeffs().coeff(1)-coeffs().coeff(0));
00178 else
00179 return VectorType(-coeffs().coeff(2)/coeffs().coeff(0)-coeffs().coeff(1), coeffs().coeff(0));
00180 }
00181 else
00182 {
00183 Scalar invdet = Scalar(1) / det;
00184 return VectorType(invdet*(coeffs().coeff(1)*other.coeffs().coeff(2)-other.coeffs().coeff(1)*coeffs().coeff(2)),
00185 invdet*(other.coeffs().coeff(0)*coeffs().coeff(2)-coeffs().coeff(0)*other.coeffs().coeff(2)));
00186 }
00187 }
00188
00195 template<typename XprType>
00196 inline Hyperplane& transform(const MatrixBase<XprType>& mat, TransformTraits traits = Affine)
00197 {
00198 if (traits==Affine)
00199 normal() = mat.inverse().transpose() * normal();
00200 else if (traits==Isometry)
00201 normal() = mat * normal();
00202 else
00203 {
00204 ei_assert("invalid traits value in Hyperplane::transform()");
00205 }
00206 return *this;
00207 }
00208
00216 inline Hyperplane& transform(const Transform<Scalar,AmbientDimAtCompileTime>& t,
00217 TransformTraits traits = Affine)
00218 {
00219 transform(t.linear(), traits);
00220 offset() -= t.translation().eigen2_dot(normal());
00221 return *this;
00222 }
00223
00229 template<typename NewScalarType>
00230 inline typename internal::cast_return_type<Hyperplane,
00231 Hyperplane<NewScalarType,AmbientDimAtCompileTime> >::type cast() const
00232 {
00233 return typename internal::cast_return_type<Hyperplane,
00234 Hyperplane<NewScalarType,AmbientDimAtCompileTime> >::type(*this);
00235 }
00236
00238 template<typename OtherScalarType>
00239 inline explicit Hyperplane(const Hyperplane<OtherScalarType,AmbientDimAtCompileTime>& other)
00240 { m_coeffs = other.coeffs().template cast<Scalar>(); }
00241
00246 bool isApprox(const Hyperplane& other, typename NumTraits<Scalar>::Real prec = precision<Scalar>()) const
00247 { return m_coeffs.isApprox(other.m_coeffs, prec); }
00248
00249 protected:
00250
00251 Coefficients m_coeffs;
00252 };
00253
00254 }