eigen/unsupported/Eigen/src/Splines/Spline.h

// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 20010-2011 Hauke Heibel <hauke.heibel@gmail.com>
//
// 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/>.

#ifndef EIGEN_SPLINE_H
#define EIGEN_SPLINE_H

#include "SplineFwd.h"

namespace Eigen
{
  /**
  * \class Spline class
  * \brief A class representing N-D spline curves.
  * \tparam _Scalar The underlying data type (typically float or double)
  * \tparam _Dim The curve dimension (e.g. 2 or 3)
  * \tparam _Degree Per default set to Dynamic; could be set to the actual desired
  *                 degree for optimization purposes (would result in stack allocation
  *                 of several temporary variables).
  **/
  template <typename _Scalar, int _Dim, int _Degree>
  class Spline
  {
  public:
    typedef _Scalar Scalar;
    enum { Dimension = _Dim };
    enum { Degree = _Degree };

    typedef typename SplineTraits<Spline>::PointType PointType;
    typedef typename SplineTraits<Spline>::KnotVectorType KnotVectorType;
    typedef typename SplineTraits<Spline>::BasisVectorType BasisVectorType;
    typedef typename SplineTraits<Spline>::ControlPointVectorType ControlPointVectorType;

    /**
    * \brief Creates a spline from a knot vector and control points.
    **/
    template <typename OtherVectorType, typename OtherArrayType>
    Spline(const OtherVectorType& knots, const OtherArrayType& ctrls) : m_knots(knots), m_ctrls(ctrls) {}

    template <int OtherDegree>
    Spline(const Spline<Scalar, Dimension, OtherDegree>& spline) : 
    m_knots(spline.knots()), m_ctrls(spline.ctrls()) {}

    /* Const access methods for knots and control points. */
    const KnotVectorType& knots() const { return m_knots; }
    const ControlPointVectorType& ctrls() const { return m_ctrls; }

    /* Spline evaluation. */
    PointType operator()(Scalar u) const;

    /* Evaluation of spline derivatives of up-to given order. 
    * The returned matrix has dimensions Dim-by-(Order+1) containing
    * the 0-th order up-to Order-th order derivatives.
    */
    typename SplineTraits<Spline>::DerivativeType
      derivatives(Scalar u, DenseIndex order) const;

    /**
    * Evaluation of spline derivatives of up-to given order.
    * The function performs identically to derivatives(Scalar, int) but
    * does not require any heap allocations.
    * \sa derivatives(Scalar, int)
    **/    
    template <int DerivativeOrder>
    typename SplineTraits<Spline,DerivativeOrder>::DerivativeType
      derivatives(Scalar u, DenseIndex order = DerivativeOrder) const;

    /* Non-zero spline basis functions. */
    typename SplineTraits<Spline>::BasisVectorType
      basisFunctions(Scalar u) const;

    /* Non-zero spline basis function derivatives up to given order. 
    * The order is different from the spline order - it is the order
    * up to which derivatives will be computed.
    * \sa basisFunctions(Scalar)
    */
    typename SplineTraits<Spline>::BasisDerivativeType
      basisFunctionDerivatives(Scalar u, DenseIndex order) const;

    /**
    * Computes non-zero basis function derivatives up to the given derivative order.
    * As opposed to basisFunctionDerivatives(Scalar, int) this function does not perform
    * any heap allocations.
    * \sa basisFunctionDerivatives(Scalar, int)
    **/    
    template <int DerivativeOrder>
    typename SplineTraits<Spline,DerivativeOrder>::BasisDerivativeType
      basisFunctionDerivatives(Scalar u, DenseIndex order = DerivativeOrder) const;

    /**
    * \brief The current spline degree. It's a function of knot size and number 
    * of controls and thus does not require a dedicated member. 
    */ 
    DenseIndex degree() const;

    /** Computes the span within the knot vector in which u falls. */
    DenseIndex span(Scalar u) const;

    static DenseIndex Span(typename SplineTraits<Spline>::Scalar u, DenseIndex degree, const typename SplineTraits<Spline>::KnotVectorType& knots);
    static BasisVectorType BasisFunctions(Scalar u, DenseIndex degree, const KnotVectorType& knots);


  private:
    KnotVectorType m_knots; /* Knot vector. */
    ControlPointVectorType  m_ctrls; /* Control points. */
  };

  template <typename _Scalar, int _Dim, int _Degree>
  DenseIndex Spline<_Scalar, _Dim, _Degree>::Span(
    typename SplineTraits< Spline<_Scalar, _Dim, _Degree> >::Scalar u,
    DenseIndex degree,
    const typename SplineTraits< Spline<_Scalar, _Dim, _Degree> >::KnotVectorType& knots)
  {
    // Piegl & Tiller, "The NURBS Book", A2.1 (p. 68)
    if (u <= knots(0)) return degree;
    const Scalar* pos = std::upper_bound(knots.data()+degree-1, knots.data()+knots.size()-degree-1, u);
    return static_cast<DenseIndex>( std::distance(knots.data(), pos) - 1 );
  }

  template <typename _Scalar, int _Dim, int _Degree>
  typename Spline<_Scalar, _Dim, _Degree>::BasisVectorType
    Spline<_Scalar, _Dim, _Degree>::BasisFunctions(
    typename Spline<_Scalar, _Dim, _Degree>::Scalar u,
    DenseIndex degree,
    const typename Spline<_Scalar, _Dim, _Degree>::KnotVectorType& knots)
  {
    typedef typename Spline<_Scalar, _Dim, _Degree>::BasisVectorType BasisVectorType;

    const DenseIndex p = degree;
    const DenseIndex i = Spline::Span(u, degree, knots);

    const KnotVectorType& U = knots;

    BasisVectorType left(p+1); left(0) = Scalar(0);
    BasisVectorType right(p+1); right(0) = Scalar(0);        

    VectorBlock<BasisVectorType,Degree>(left,1,p) = u - VectorBlock<const KnotVectorType,Degree>(U,i+1-p,p).reverse();
    VectorBlock<BasisVectorType,Degree>(right,1,p) = VectorBlock<const KnotVectorType,Degree>(U,i+1,p) - u;

    BasisVectorType N(1,p+1);
    N(0) = Scalar(1);
    for (DenseIndex j=1; j<=p; ++j)
    {
      Scalar saved = Scalar(0);
      for (DenseIndex r=0; r<j; r++)
      {
        const Scalar tmp = N(r)/(right(r+1)+left(j-r));
        N[r] = saved + right(r+1)*tmp;
        saved = left(j-r)*tmp;
      }
      N(j) = saved;
    }
    return N;
  }

  template <typename _Scalar, int _Dim, int _Degree>
  DenseIndex Spline<_Scalar, _Dim, _Degree>::degree() const
  {
    if (_Degree == Dynamic)
      return m_knots.size() - m_ctrls.cols() - 1;
    else
      return _Degree;
  }

  template <typename _Scalar, int _Dim, int _Degree>
  DenseIndex Spline<_Scalar, _Dim, _Degree>::span(Scalar u) const
  {
    return Spline::Span(u, degree(), knots());
  }

  /**
  * \brief A functor for the computation of a spline point.
  * \sa Piegl & Tiller, "The NURBS Book", A4.1 (p. 124)
  **/
  template <typename _Scalar, int _Dim, int _Degree>
  typename Spline<_Scalar, _Dim, _Degree>::PointType Spline<_Scalar, _Dim, _Degree>::operator()(Scalar u) const
  {
    enum { Order = SplineTraits<Spline>::OrderAtCompileTime };

    const DenseIndex span = this->span(u);
    const DenseIndex p = degree();
    const BasisVectorType basis_funcs = basisFunctions(u);

    const Replicate<BasisVectorType,Dimension,1> ctrl_weights(basis_funcs);
    const Block<const ControlPointVectorType,Dimension,Order> ctrl_pts(ctrls(),0,span-p,Dimension,p+1);
    return (ctrl_weights * ctrl_pts).rowwise().sum();
  }

  /* --------------------------------------------------------------------------------------------- */

  template <typename SplineType, typename DerivativeType>
  void derivativesImpl(const SplineType& spline, typename SplineType::Scalar u, DenseIndex order, DerivativeType& der)
  {    
    enum { Dimension = SplineTraits<SplineType>::Dimension };
    enum { Order = SplineTraits<SplineType>::OrderAtCompileTime };
    enum { DerivativeOrder = DerivativeType::ColsAtCompileTime };

    typedef typename SplineTraits<SplineType>::Scalar Scalar;

    typedef typename SplineTraits<SplineType>::BasisVectorType BasisVectorType;
    typedef typename SplineTraits<SplineType>::ControlPointVectorType ControlPointVectorType;

    typedef typename SplineTraits<SplineType,DerivativeOrder>::BasisDerivativeType BasisDerivativeType;
    typedef typename BasisDerivativeType::ConstRowXpr BasisDerivativeRowXpr;    

    const DenseIndex p = spline.degree();
    const DenseIndex span = spline.span(u);

    const DenseIndex n = (std::min)(p, order);

    der.resize(Dimension,n+1);

    // Retrieve the basis function derivatives up to the desired order...    
    const BasisDerivativeType basis_func_ders = spline.template basisFunctionDerivatives<DerivativeOrder>(u, n+1);

    // ... and perform the linear combinations of the control points.
    for (DenseIndex der_order=0; der_order<n+1; ++der_order)
    {
      const Replicate<BasisDerivativeRowXpr,Dimension,1> ctrl_weights( basis_func_ders.row(der_order) );
      const Block<const ControlPointVectorType,Dimension,Order> ctrl_pts(spline.ctrls(),0,span-p,Dimension,p+1);
      der.col(der_order) = (ctrl_weights * ctrl_pts).rowwise().sum();
    }
  }

  /**
  * \brief A functor for the computation of a spline point.
  * \sa Piegl & Tiller, "The NURBS Book", A4.1 (p. 124)
  **/
  template <typename _Scalar, int _Dim, int _Degree>
  typename SplineTraits< Spline<_Scalar, _Dim, _Degree> >::DerivativeType
    Spline<_Scalar, _Dim, _Degree>::derivatives(Scalar u, DenseIndex order) const
  {
    typename SplineTraits< Spline >::DerivativeType res;
    derivativesImpl(*this, u, order, res);
    return res;
  }

  template <typename _Scalar, int _Dim, int _Degree>
  template <int DerivativeOrder>
  typename SplineTraits< Spline<_Scalar, _Dim, _Degree>, DerivativeOrder >::DerivativeType
    Spline<_Scalar, _Dim, _Degree>::derivatives(Scalar u, DenseIndex order) const
  {
    typename SplineTraits< Spline, DerivativeOrder >::DerivativeType res;
    derivativesImpl(*this, u, order, res);
    return res;
  }

  /**
  * \brief A functor for the computation of a spline's non-zero basis functions.
  * \sa Piegl & Tiller, "The NURBS Book", A2.2 (p. 70)
  **/
  template <typename _Scalar, int _Dim, int _Degree>
  typename SplineTraits< Spline<_Scalar, _Dim, _Degree> >::BasisVectorType
    Spline<_Scalar, _Dim, _Degree>::basisFunctions(Scalar u) const
  {
    return Spline::BasisFunctions(u, degree(), knots());
  }

  /* --------------------------------------------------------------------------------------------- */

  template <typename SplineType, typename DerivativeType>
  void basisFunctionDerivativesImpl(const SplineType& spline, typename SplineType::Scalar u, DenseIndex order, DerivativeType& N_)
  {
    enum { Order = SplineTraits<SplineType>::OrderAtCompileTime };

    typedef typename SplineTraits<SplineType>::Scalar Scalar;
    typedef typename SplineTraits<SplineType>::BasisVectorType BasisVectorType;
    typedef typename SplineTraits<SplineType>::KnotVectorType KnotVectorType;
    typedef typename SplineTraits<SplineType>::ControlPointVectorType ControlPointVectorType;

    const KnotVectorType& U = spline.knots();

    const DenseIndex p = spline.degree();
    const DenseIndex span = spline.span(u);

    const DenseIndex n = (std::min)(p, order);

    N_.resize(n+1, p+1);

    BasisVectorType left = BasisVectorType::Zero(p+1);
    BasisVectorType right = BasisVectorType::Zero(p+1);

    Matrix<Scalar,Order,Order> ndu(p+1,p+1);

    double saved, temp;

    ndu(0,0) = 1.0;

    DenseIndex j;
    for (j=1; j<=p; ++j)
    {
      left[j] = u-U[span+1-j];
      right[j] = U[span+j]-u;
      saved = 0.0;

      for (DenseIndex r=0; r<j; ++r)
      {
        /* Lower triangle */
        ndu(j,r) = right[r+1]+left[j-r];
        temp = ndu(r,j-1)/ndu(j,r);
        /* Upper triangle */
        ndu(r,j) = static_cast<Scalar>(saved+right[r+1] * temp);
        saved = left[j-r] * temp;
      }

      ndu(j,j) = static_cast<Scalar>(saved);
    }

    for (j = p; j>=0; --j) 
      N_(0,j) = ndu(j,p);

    // Compute the derivatives
    DerivativeType a(n+1,p+1);
    DenseIndex r=0;
    for (; r<=p; ++r)
    {
      DenseIndex s1,s2;
      s1 = 0; s2 = 1; // alternate rows in array a
      a(0,0) = 1.0;

      // Compute the k-th derivative
      for (DenseIndex k=1; k<=static_cast<DenseIndex>(n); ++k)
      {
        double d = 0.0;
        DenseIndex rk,pk,j1,j2;
        rk = r-k; pk = p-k;

        if (r>=k)
        {
          a(s2,0) = a(s1,0)/ndu(pk+1,rk);
          d = a(s2,0)*ndu(rk,pk);
        }

        if (rk>=-1) j1 = 1;
        else        j1 = -rk;

        if (r-1 <= pk) j2 = k-1;
        else           j2 = p-r;

        for (j=j1; j<=j2; ++j)
        {
          a(s2,j) = (a(s1,j)-a(s1,j-1))/ndu(pk+1,rk+j);
          d += a(s2,j)*ndu(rk+j,pk);
        }

        if (r<=pk)
        {
          a(s2,k) = -a(s1,k-1)/ndu(pk+1,r);
          d += a(s2,k)*ndu(r,pk);
        }

        N_(k,r) = static_cast<Scalar>(d);
        j = s1; s1 = s2; s2 = j; // Switch rows
      }
    }

    /* Multiply through by the correct factors */
    /* (Eq. [2.9])                             */
    r = p;
    for (DenseIndex k=1; k<=static_cast<DenseIndex>(n); ++k)
    {
      for (DenseIndex j=p; j>=0; --j) N_(k,j) *= r;
      r *= p-k;
    }
  }

  template <typename _Scalar, int _Dim, int _Degree>
  typename SplineTraits< Spline<_Scalar, _Dim, _Degree> >::BasisDerivativeType
    Spline<_Scalar, _Dim, _Degree>::basisFunctionDerivatives(Scalar u, DenseIndex order) const
  {
    typename SplineTraits< Spline >::BasisDerivativeType der;
    basisFunctionDerivativesImpl(*this, u, order, der);
    return der;
  }

  template <typename _Scalar, int _Dim, int _Degree>
  template <int DerivativeOrder>
  typename SplineTraits< Spline<_Scalar, _Dim, _Degree>, DerivativeOrder >::BasisDerivativeType
    Spline<_Scalar, _Dim, _Degree>::basisFunctionDerivatives(Scalar u, DenseIndex order) const
  {
    typename SplineTraits< Spline, DerivativeOrder >::BasisDerivativeType der;
    basisFunctionDerivativesImpl(*this, u, order, der);
    return der;
  }
}

#endif // EIGEN_SPLINE_H