rmsac.h

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#pragma once
 
#include <pcl/sample_consensus/sac.h>
#include <pcl/sample_consensus/sac_model.h>
 
namespace pcl
{
  /** \brief @b RandomizedMEstimatorSampleConsensus represents an implementation of the RMSAC (Randomized M-estimator 
    * SAmple Consensus) algorithm, which basically adds a Td,d test (see \a RandomizedRandomSampleConsensus) to an MSAC 
    * estimator (see \a MEstimatorSampleConsensus).
    * \note RMSAC is useful in situations where most of the data samples belong to the model, and a fast outlier rejection algorithm is needed.
    * \author Radu B. Rusu
    * \ingroup sample_consensus
    */
  template <typename PointT>
  class RandomizedMEstimatorSampleConsensus : public SampleConsensus<PointT>
  {
    using SampleConsensusModelPtr = typename SampleConsensusModel<PointT>::Ptr;
 
    public:
      using Ptr = shared_ptr<RandomizedMEstimatorSampleConsensus<PointT> >;
      using ConstPtr = shared_ptr<const RandomizedMEstimatorSampleConsensus<PointT> >;
 
      using SampleConsensus<PointT>::max_iterations_;
      using SampleConsensus<PointT>::threshold_;
      using SampleConsensus<PointT>::iterations_;
      using SampleConsensus<PointT>::sac_model_;
      using SampleConsensus<PointT>::model_;
      using SampleConsensus<PointT>::model_coefficients_;
      using SampleConsensus<PointT>::inliers_;
      using SampleConsensus<PointT>::probability_;
 
      /** \brief RMSAC (Randomized M-estimator SAmple Consensus) main constructor
        * \param[in] model a Sample Consensus model
        */
      RandomizedMEstimatorSampleConsensus (const SampleConsensusModelPtr &model) 
        : SampleConsensus<PointT> (model)
        , fraction_nr_pretest_ (10.0) // Number of samples to try randomly in percents
      {
        // Maximum number of trials before we give up.
        max_iterations_ = 10000;
      }
 
      /** \brief RMSAC (Randomized M-estimator SAmple Consensus) main constructor
        * \param[in] model a Sample Consensus model
        * \param[in] threshold distance to model threshold
        */
      RandomizedMEstimatorSampleConsensus (const SampleConsensusModelPtr &model, double threshold) 
        : SampleConsensus<PointT> (model, threshold)
        , fraction_nr_pretest_ (10.0) // Number of samples to try randomly in percents
      {
        // Maximum number of trials before we give up.
        max_iterations_ = 10000;
      }
 
      /** \brief Compute the actual model and find the inliers
        * \param[in] debug_verbosity_level enable/disable on-screen debug information and set the verbosity level
        */
      bool 
      computeModel (int debug_verbosity_level = 0) override;
 
      /** \brief Set the percentage of points to pre-test.
        * \param[in] nr_pretest percentage of points to pre-test
        */
      inline void 
      setFractionNrPretest (double nr_pretest) { fraction_nr_pretest_ = nr_pretest; }
 
      /** \brief Get the percentage of points to pre-test. */
      inline double 
      getFractionNrPretest () const { return (fraction_nr_pretest_); }
 
    private:
      /** \brief Number of samples to randomly pre-test, in percents. */
      double fraction_nr_pretest_;
  };
}
 
#ifdef PCL_NO_PRECOMPILE
#include <pcl/sample_consensus/impl/rmsac.hpp>
#endif