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Public Member Functions | Private Attributes

RoadSearchCloudCleanerAlgorithm Class Reference

#include <RoadSearchCloudCleanerAlgorithm.h>

List of all members.

Public Member Functions

 RoadSearchCloudCleanerAlgorithm (const edm::ParameterSet &conf)
void run (const RoadSearchCloudCollection *input, const edm::EventSetup &es, RoadSearchCloudCollection &output)
 Runs the algorithm.
 ~RoadSearchCloudCleanerAlgorithm ()

Private Attributes

unsigned int maxRecHitsInCloud_
double mergingFraction_

Detailed Description

Definition at line 22 of file RoadSearchCloudCleanerAlgorithm.h.


Constructor & Destructor Documentation

RoadSearchCloudCleanerAlgorithm::RoadSearchCloudCleanerAlgorithm ( const edm::ParameterSet conf)

Definition at line 23 of file RoadSearchCloudCleanerAlgorithm.cc.

References edm::ParameterSet::getParameter(), maxRecHitsInCloud_, and mergingFraction_.

                                                                                            {
  
  // store parameter
  mergingFraction_ = conf.getParameter<double>("MergingFraction");
  maxRecHitsInCloud_ = conf.getParameter<int>("MaxRecHitsInCloud");

}
RoadSearchCloudCleanerAlgorithm::~RoadSearchCloudCleanerAlgorithm ( )

Definition at line 31 of file RoadSearchCloudCleanerAlgorithm.cc.

                                                                  {
}

Member Function Documentation

void RoadSearchCloudCleanerAlgorithm::run ( const RoadSearchCloudCollection input,
const edm::EventSetup es,
RoadSearchCloudCollection output 
)

Runs the algorithm.

Definition at line 34 of file RoadSearchCloudCleanerAlgorithm.cc.

References RoadSearchCloud::addHit(), RoadSearchCloud::begin_hits(), RoadSearchCloud::end_hits(), i, LaserDQM_cfg::input, gen::k, LogDebug, maxRecHitsInCloud_, mergingFraction_, and RoadSearchCloud::size().

Referenced by cms::RoadSearchCloudCleaner::produce().

{

  //
  //  right now cloud cleaning solely consist of merging clouds based on the number
  //  of shared hits (getting rid of obvious duplicates) - don't need roads and
  //  geometry for this - eventually this stage will become a sub-process (probably
  //  early on) of cloud cleaning
  //

  LogDebug("RoadSearch") << "Raw Clouds input size: " << input->size(); 

  //
  //  no raw clouds - nothing to try merging
  //

  if ( input->empty() ){
    LogDebug("RoadSearch") << "Found " << output.size() << " clouds.";
    return;  
  }

  //
  //  1 raw cloud - nothing to try merging, but one cloud to duplicate
  //

  if ( 1==input->size() ){
    output = *input;
    LogDebug("RoadSearch") << "Found " << output.size() << " clouds.";
    return;
  }  

  //
  //  got > 1 raw cloud - something to try merging
  //
  std::vector<bool> already_gone(input->size());
  for (unsigned int i=0; i<input->size(); ++i) {
    already_gone[i] = false; 
  }

  int raw_cloud_ctr=0;
  // loop over clouds
  for ( RoadSearchCloudCollection::const_iterator raw_cloud = input->begin(); raw_cloud != input->end(); ++raw_cloud) {
    ++raw_cloud_ctr;

    if (already_gone[raw_cloud_ctr-1])continue;

    // produce output cloud where other clouds are merged in
    RoadSearchCloud lone_cloud = *raw_cloud;
    int second_cloud_ctr=raw_cloud_ctr;
    for ( RoadSearchCloudCollection::const_iterator second_cloud = raw_cloud+1; second_cloud != input->end(); ++second_cloud) {
      second_cloud_ctr++;

      std::vector<const TrackingRecHit*> unshared_hits;

      if ( already_gone[second_cloud_ctr-1] )continue;

      for ( RoadSearchCloud::RecHitVector::const_iterator second_cloud_hit = second_cloud->begin_hits();
            second_cloud_hit != second_cloud->end_hits();
            ++ second_cloud_hit ) {
        bool is_shared = false;
        for ( RoadSearchCloud::RecHitVector::const_iterator lone_cloud_hit = lone_cloud.begin_hits();
              lone_cloud_hit != lone_cloud.end_hits();
              ++ lone_cloud_hit ) {

          if ((*lone_cloud_hit)->geographicalId().rawId() == (*second_cloud_hit)->geographicalId().rawId())
            if ((*lone_cloud_hit)->localPosition().x() == (*second_cloud_hit)->localPosition().x())
              if ((*lone_cloud_hit)->localPosition().y() == (*second_cloud_hit)->localPosition().y())
                {is_shared=true; break;}
        }
        if (!is_shared)  unshared_hits.push_back(*second_cloud_hit);

        if ( ((float(unshared_hits.size())/float(lone_cloud.size())) > 
              ((float(second_cloud->size())/float(lone_cloud.size()))-mergingFraction_)) &&
             ((float(unshared_hits.size())/float(second_cloud->size())) > (1-mergingFraction_))){
          // You'll never merge these clouds..... Could quit now!
          break;
        }

      }
      
      double f_lone_shared=double(second_cloud->size()-unshared_hits.size())/double(lone_cloud.size());
      double f_second_shared=double(second_cloud->size()-unshared_hits.size())/double(second_cloud->size());
      
      if ( ( (static_cast<unsigned int>(f_lone_shared*1E9) > static_cast<unsigned int>(mergingFraction_*1E9))||(static_cast<unsigned int>(f_second_shared*1E9) > static_cast<unsigned int>(mergingFraction_*1E9)) ) 
           && (lone_cloud.size()+unshared_hits.size() <= maxRecHitsInCloud_) ){

        LogDebug("RoadSearch") << " Merge CloudA: " << raw_cloud_ctr << " with  CloudB: " << second_cloud_ctr 
                               << " Shared fractions are " << f_lone_shared << " and " << f_second_shared;

        //
        //  got a cloud to merge
        //
        for (unsigned int k=0; k<unshared_hits.size(); ++k) {
          lone_cloud.addHit(unshared_hits[k]);
        }

        already_gone[second_cloud_ctr-1]=true;

        }//end got a cloud to merge

    }//interate over all second clouds

    output.push_back(lone_cloud);
    
  }//iterate over all raw clouds

  LogDebug("RoadSearch") << "Found " << output.size() << " clean clouds.";

}

Member Data Documentation

Definition at line 36 of file RoadSearchCloudCleanerAlgorithm.h.

Referenced by RoadSearchCloudCleanerAlgorithm(), and run().

Definition at line 35 of file RoadSearchCloudCleanerAlgorithm.h.

Referenced by RoadSearchCloudCleanerAlgorithm(), and run().