base_edge.h

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// g2o - General Graph Optimization
// Copyright (C) 2011 R. Kuemmerle, G. Grisetti, H. Strasdat, W. Burgard
// All rights reserved.
//
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// modification, are permitted provided that the following conditions are
// met:
//
// * Redistributions of source code must retain the above copyright notice,
//   this list of conditions and the following disclaimer.
// * Redistributions in binary form must reproduce the above copyright
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#ifndef G2O_BASE_EDGE_H
#define G2O_BASE_EDGE_H

#include <iostream>
#include <limits>

#include <Eigen/Core>

#include "optimizable_graph.h"

namespace g2o {

  using namespace Eigen;

  template <int D, typename E>
  class BaseEdge : public OptimizableGraph::Edge
  {
    public:

      static const int Dimension = D;
      typedef E Measurement;
      typedef Matrix<double, D, 1> ErrorVector;
      typedef Matrix<double, D, D> InformationType;

      BaseEdge() : OptimizableGraph::Edge()
      {
        _dimension = D;
      }

      virtual ~BaseEdge() {}

      virtual double chi2() const 
      {
        return _error.dot(information()*_error);
      }

      virtual const double* errorData() const { return _error.data();}
      virtual double* errorData() { return _error.data();}
      const ErrorVector& error() const { return _error;}
      ErrorVector& error() { return _error;}

      const InformationType& information() const { return _information;}
      InformationType& information() { return _information;}
      void setInformation(const InformationType& information) { _information = information;}

      virtual const double* informationData() const { return _information.data();}
      virtual double* informationData() { return _information.data();}

      const Measurement& measurement() const { return _measurement;}
      virtual void setMeasurement(const Measurement& m) { _measurement = m;}

      virtual int rank() const {return _dimension;}

      virtual void initialEstimate(const OptimizableGraph::VertexSet&, OptimizableGraph::Vertex*)
      {
        std::cerr << "inititialEstimate() is not implemented, please give implementation in your derived class" << std::endl;
      }

    protected:

      Measurement _measurement;
      InformationType _information;
      ErrorVector _error;

      InformationType robustInformation(const Eigen::Vector3d& rho)
      {
        InformationType result = rho[1] * _information;
        //ErrorVector weightedErrror = _information * _error;
        //result.noalias() += 2 * rho[2] * (weightedErrror * weightedErrror.transpose());
        return result;
      }

    public:
      EIGEN_MAKE_ALIGNED_OPERATOR_NEW
  };

} // end namespace g2o

#endif