ransac.h

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#pragma once
 
#include <pcl/sample_consensus/sac.h>
#include <pcl/sample_consensus/sac_model.h>
 
namespace pcl
{
  /** \brief @b RandomSampleConsensus represents an implementation of the RANSAC (RANdom SAmple Consensus) algorithm, as 
    * described in: "Random Sample Consensus: A Paradigm for Model Fitting with Applications to Image Analysis and 
    * Automated Cartography", Martin A. Fischler and Robert C. Bolles, Comm. Of the ACM 24: 381–395, June 1981.
    * A parallel variant is available, enable with setNumberOfThreads. Default is non-parallel.
    * 
    * The algorithm works as follows:
    * <ol>
    *   <li> randomly select samples from the cloud, just as many as needed to determine a model
    *   <li> compute the coefficients of the model from the samples
    *   <li> count how many points of the cloud belong to the model, given a threshold. These are called inliers
    *   <li> repeat until a good model has been found or a max number of iterations has been reached
    *   <li> return the model with the most inliers 
    * </ol>
    * \author Radu B. Rusu
    * \ingroup sample_consensus
    */
  template <typename PointT>
  class RandomSampleConsensus : public SampleConsensus<PointT>
  {
    using SampleConsensusModelPtr = typename SampleConsensusModel<PointT>::Ptr;
 
    public:
      using Ptr = shared_ptr<RandomSampleConsensus<PointT> >;
      using ConstPtr = shared_ptr<const RandomSampleConsensus<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_;
      using SampleConsensus<PointT>::threads_;
 
      /** \brief RANSAC (RANdom SAmple Consensus) main constructor
        * \param[in] model a Sample Consensus model
        */
      RandomSampleConsensus (const SampleConsensusModelPtr &model) 
        : SampleConsensus<PointT> (model)
      {
        // Maximum number of trials before we give up.
        max_iterations_ = 10000;
      }
 
      /** \brief RANSAC (RANdom SAmple Consensus) main constructor
        * \param[in] model a Sample Consensus model
        * \param[in] threshold distance to model threshold
        */
      RandomSampleConsensus (const SampleConsensusModelPtr &model, double threshold) 
        : SampleConsensus<PointT> (model, threshold)
      {
        // 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;
  };
}
 
#ifdef PCL_NO_PRECOMPILE
#include <pcl/sample_consensus/impl/ransac.hpp>
#endif