star.cpp

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#include "star.h"
#include "g2o/core/optimization_algorithm_with_hessian.h"

namespace g2o {
  using namespace std;

  Star::Star(int level, SparseOptimizer* optimizer): _level(level), _optimizer(optimizer) {}

  bool Star::labelStarEdges(int iterations, EdgeLabeler* labeler){
    // mark all vertices in the lowLevelEdges as floating
    bool ok=true;
    std::set<OptimizableGraph::Vertex*> vset;
    for (HyperGraph::EdgeSet::iterator it=_lowLevelEdges.begin(); it!=_lowLevelEdges.end(); it++){
      HyperGraph::Edge* e=*it;
      for (size_t i=0; i<e->vertices().size(); i++){
        OptimizableGraph::Vertex* v=(OptimizableGraph::Vertex*)e->vertices()[i];
        v->setFixed(false);
        vset.insert(v);
      }
    }
    for (std::set<OptimizableGraph::Vertex*>::iterator it=vset.begin(); it!=vset.end(); it++){
      OptimizableGraph::Vertex* v = *it;
      v->push();
    }

    // fix all vertices in the gauge
    //cerr << "fixing gauge: ";
    for (HyperGraph::VertexSet::iterator it = _gauge.begin(); it!=_gauge.end(); it++){
      OptimizableGraph::Vertex* v=(OptimizableGraph::Vertex*)*it;
      //cerr << v->id() << " ";
      v->setFixed(true);
    }
    //cerr << endl;
    if (iterations>0){
      _optimizer->initializeOptimization(_lowLevelEdges);
      _optimizer->computeInitialGuess();
      int result=_optimizer->optimize(iterations);
      if (result<1){
        cerr << "Vertices num: " << _optimizer->activeVertices().size() << "ids: ";
        for (size_t i=0; i<_optimizer->indexMapping().size(); i++){
          cerr << _optimizer->indexMapping()[i]->id() << " " ;
        }
        cerr << endl;
        cerr << "!!! optimization failure" << endl;
        cerr << "star size=" << _lowLevelEdges.size() << endl;
        cerr << "gauge: ";
        for (HyperGraph::VertexSet::iterator it=_gauge.begin(); it!=_gauge.end(); it++){
          OptimizableGraph::Vertex* v = (OptimizableGraph::Vertex*)*it;
          cerr << "[" << v->id() << " " << v->hessianIndex() << "] ";
        }
        cerr << endl;
        ok=false;
      }
    }  else {
      optimizer()->initializeOptimization(_lowLevelEdges);
      // cerr << "guess" << endl;
      //optimizer()->computeInitialGuess();
      // cerr << "solver init" << endl;
      optimizer()->solver()->init();
      // cerr << "structure" << endl;
      OptimizationAlgorithmWithHessian* solverWithHessian = dynamic_cast<OptimizationAlgorithmWithHessian*> (optimizer()->solver());
      if (!solverWithHessian->buildLinearStructure())
        cerr << "FATAL: failure while building linear structure" << endl;
      // cerr << "errors" << endl;
      optimizer()->computeActiveErrors();
      // cerr << "system" << endl;
      solverWithHessian->updateLinearSystem();
    }

    std::set<OptimizableGraph::Edge*> star;
    for(HyperGraph::EdgeSet::iterator it=_starEdges.begin(); it!=_starEdges.end(); it++){
      star.insert((OptimizableGraph::Edge*)*it);
    }
    if (ok) {
      int result = labeler->labelEdges(star);
      if (result < 0)
        ok=false;
    }
    // release all vertices in the gauge
    for (std::set<OptimizableGraph::Vertex*>::iterator it=vset.begin(); it!=vset.end(); it++){
      OptimizableGraph::Vertex* v = *it;
      v->pop();
    }
    for (HyperGraph::VertexSet::iterator it=_gauge.begin(); it!=_gauge.end(); it++){
      OptimizableGraph::Vertex* v=(OptimizableGraph::Vertex*)*it;
      v->setFixed(false);
    }

    return ok;
  }

}