Plane.h

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#ifndef __GfxTL_PLANE_HEADER__
#define __GfxTL_PLANE_HEADER__
#include <GfxTL/Covariance.h>
#include <GfxTL/Jacobi.h>
#include <GfxTL/Mean.h>
#include <GfxTL/MatrixXX.h>
#include <GfxTL/VectorXD.h>
#include <GfxTL/MathHelper.h>
#include <GfxTL/WeightFunc.h>
 
namespace GfxTL
{
    template< class PointT >
    class Plane
    {
    public:
        typedef PointT PointType;
        typedef typename PointType::ScalarType ScalarType;
 
        Plane();
        Plane(const PointType& normal, const PointType& origin);
        Plane(PointType n, ScalarType d)
            : _normal(n)
            , _d(d)
        {}
        void Set(const PointType& origin, const PointType& normal);
        template< class PointsForwardIt, class WeightsForwardIt >
        bool Fit(const PointType& origin, PointsForwardIt begin,
                 PointsForwardIt end, WeightsForwardIt weights);
        template< class PointsForwardIt >
        bool Fit(const PointType& origin, PointsForwardIt begin,
                 PointsForwardIt end);
        template< class PointsForwardIt, class WeightsForwardIt >
        bool Fit(PointsForwardIt begin, PointsForwardIt end,
                 WeightsForwardIt weights);
        template< class PointsForwardIt >
        bool Fit(PointsForwardIt begin, PointsForwardIt end);
        ScalarType SignedDistance(const PointType& p) const;
        ScalarType Distance(const PointType& p) const
        {
            return Math< ScalarType >::Abs(SignedDistance(p));
        }
        ScalarType SignedDistanceToOrigin() const
        {
            return -_d;
        }
        void Orient(const PointType& n);
        void Project(const PointType& p, PointType* s) const;
        void Normal(PointType* normal) const;
        void Normal(const PointType& normal);
        PointType& Normal();
        const PointType& Normal() const;
        void Origin(const PointType& o);
        ScalarType Intersect(const PointType& p, const PointType& r) const;
        void OffsetInNormalDirection(ScalarType offset);
 
    private:
        PointType _normal;
        ScalarType _d;
    };
 
    template< class PointT >
    template< class PointsForwardIt, class WeightsForwardIt >
    bool Plane< PointT >::Fit(const PointType& origin, PointsForwardIt begin,
                              PointsForwardIt end, WeightsForwardIt weights)
    {
        MatrixXX< PointType::Dim, PointType::Dim, ScalarType > c, v;
        CovarianceMatrix(origin, begin, end, weights, &c);
        VectorXD< PointType::Dim, ScalarType > d;
        if (!Jacobi(c, &d, &v))
        {
            //std::cout << "Jacobi failed:" << std::endl;
            //std::cout << "origin = " << origin[0] << "," << origin[1] << "," << origin[2] << std::endl
            //  << "cov:" << std::endl
            //  << c[0][0] << c[1][0] << c[2][0] << std::endl
            //  << c[0][1] << c[1][1] << c[2][1] << std::endl
            //  << c[0][2] << c[1][2] << c[2][2] << std::endl;
            //std::cout << "recomp origin:" << std::endl;
            //PointT com;
            //Mean(begin, end, weights, &com);
            //std::cout << "origin = " << origin[0] << "," << origin[1] << "," << origin[2] << std::endl;
            //std::cout << "recomp covariance:" << std::endl;
            //CovarianceMatrix(com, begin, end, weights, &c);
            //std::cout << "cov:" << std::endl
            //<< c[0][0] << c[1][0] << c[2][0] << std::endl
            //<< c[0][1] << c[1][1] << c[2][1] << std::endl
            //<< c[0][2] << c[1][2] << c[2][2] << std::endl;
            //std::cout << "weights and points:" << std::endl;
            //WeightsForwardIt w = weights;
            //for(PointsForwardIt i = begin; i != end; ++i, ++w)
            //  std::cout << (*i)[0] << "," << (*i)[1] << "," << (*i)[2]
            //      << " weight=" << (*w) << std::endl;
            return false;
        }
        for (unsigned int i = 0; i < PointType::Dim; ++i)
        {
            d[i] = Math< ScalarType >::Abs(d[i]);
        }
        EigSortDesc(&d, &v);
        _normal = PointType(v[PointType::Dim - 1]);
        _d = -(_normal * origin);
        return true;
    }
 
    template< class PointT >
    template< class PointsForwardIt >
    bool Plane< PointT >::Fit(const PointType& origin, PointsForwardIt begin,
                              PointsForwardIt end)
    {
        return Fit(origin, begin, end, UnitWeightIterator());
    }
 
    template< class PointT >
    template< class PointsForwardIt, class WeightsForwardIt >
    bool Plane< PointT >::Fit(PointsForwardIt begin,
                              PointsForwardIt end, WeightsForwardIt weights)
    {
        // copy weights
        //std::vector< ScalarType > ww(end - begin);
        //for(unsigned int i = 0; i < ww.size(); ++i)
        //  ww[i] = weights[i];
        PointT com;
        Mean(begin, end, weights, &com);
        bool retVal = Fit(com, begin, end, weights);
        // cmp weights
        //WeightsForwardIt w = weights;
        //for(unsigned int i = 0; i < ww.size(); ++i, ++w)
        //  if(ww[i] != *w)
        //      std::cout << "WEIGHT CHANGED!!! " << ww[i] << "!=" << *w << std::endl;
        return retVal;
        //MatrixXX< PointType::Dim, PointType::Dim, ScalarType > c, v;
        //PointType origin;
        //CovarianceMatrix(begin, end, weights, &origin, &c);
        //VectorXD< PointType::Dim, ScalarType > d;
        //if(!Jacobi(c, &d, &v))
        //  return false;
        //for(unsigned int i = 0; i < PointType::Dim; ++i)
        //  d[i] = Math< ScalarType >::Abs(d[i]);
        //EigSortDesc(&d, &v);
        //_normal = PointType(v[PointType::Dim - 1]);
        //_normal.Normalize();
        //_d = -(_normal * origin);
        //return true;
    }
 
    template< class PointT >
    template< class PointsForwardIt >
    bool Plane< PointT >::Fit(PointsForwardIt begin, PointsForwardIt end)
    {
        return Fit(begin, end, UnitWeightIterator());
    }
 
    template< class PointT >
    void Plane< PointT >::OffsetInNormalDirection(ScalarType offset)
    {
        _d += offset;
    }
};
 
#include "Plane.hpp"
 
#endif