model_library.h

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#ifndef PCL_RECOGNITION_MODEL_LIBRARY_H_
#define PCL_RECOGNITION_MODEL_LIBRARY_H_

#include "auxiliary.h"
#include <pcl/recognition/ransac_based/voxel_structure.h>
#include <pcl/recognition/ransac_based/orr_octree.h>
#include <pcl/common/random.h>
#include <pcl/pcl_exports.h>
#include <pcl/point_cloud.h>
#include <pcl/point_types.h>
#include <ctime>
#include <string>
#include <list>
#include <set>
#include <map>

namespace pcl
{
  namespace recognition
  {
    class PCL_EXPORTS ModelLibrary
    {
      public:
        typedef pcl::PointCloud<pcl::PointXYZ> PointCloudIn;
        typedef pcl::PointCloud<pcl::Normal> PointCloudN;

        class Model
        {
          public:
            Model (const PointCloudIn& points, const PointCloudN& normals, float voxel_size, const std::string& object_name,
                   float frac_of_points_for_registration, void* user_data = NULL)
            : obj_name_(object_name),
              user_data_ (user_data)
            {
              octree_.build (points, voxel_size, &normals);

              const std::vector<ORROctree::Node*>& full_leaves = octree_.getFullLeaves ();
              if ( full_leaves.empty () )
                return;

              // Initialize
              std::vector<ORROctree::Node*>::const_iterator it = full_leaves.begin ();
              const float *p = (*it)->getData ()->getPoint ();
              aux::copy3 (p, octree_center_of_mass_);
              bounds_of_octree_points_[0] = bounds_of_octree_points_[1] = p[0];
              bounds_of_octree_points_[2] = bounds_of_octree_points_[3] = p[1];
              bounds_of_octree_points_[4] = bounds_of_octree_points_[5] = p[2];

              // Compute both the bounds and the center of mass of the octree points
              for ( ++it ; it != full_leaves.end () ; ++it )
              {
                aux::add3 (octree_center_of_mass_, (*it)->getData ()->getPoint ());
                aux::expandBoundingBoxToContainPoint (bounds_of_octree_points_, (*it)->getData ()->getPoint ());
              }

              int num_octree_points = static_cast<int> (full_leaves.size ());
              // Finalize the center of mass computation
              aux::mult3 (octree_center_of_mass_, 1.0f/static_cast<float> (num_octree_points));

              int num_points_for_registration = static_cast<int> (static_cast<float> (num_octree_points)*frac_of_points_for_registration);
              points_for_registration_.resize (static_cast<size_t> (num_points_for_registration));

              // Prepare for random point sampling
              std::vector<int> ids (num_octree_points);
              for ( int i = 0 ; i < num_octree_points ; ++i )
                ids[i] = i;

              // The random generator
              pcl::common::UniformGenerator<int> randgen (0, num_octree_points - 1, static_cast<uint32_t> (time (NULL)));

              // Randomly sample some points from the octree
              for ( int i = 0 ; i < num_points_for_registration ; ++i )
              {
                // Choose a random position within the array of ids
                randgen.setParameters (0, static_cast<int> (ids.size ()) - 1);
                int rand_pos = randgen.run ();

                // Copy the randomly selected octree point
                aux::copy3 (octree_.getFullLeaves ()[ids[rand_pos]]->getData ()->getPoint (), points_for_registration_[i]);

                // Delete the selected id
                ids.erase (ids.begin() + rand_pos);
              }
            }

            virtual ~Model ()
            {
            }

            inline const std::string&
            getObjectName () const
            {
              return (obj_name_);
            }

            inline const ORROctree&
            getOctree () const
            {
              return (octree_);
            }

            inline void*
            getUserData () const
            {
              return (user_data_);
            }

            inline const float*
            getOctreeCenterOfMass () const
            {
              return (octree_center_of_mass_);
            }

            inline const float*
            getBoundsOfOctreePoints () const
            {
              return (bounds_of_octree_points_);
            }

            inline const PointCloudIn&
            getPointsForRegistration () const
            {
              return (points_for_registration_);
            }

          protected:
            const std::string obj_name_;
            ORROctree octree_;
            float octree_center_of_mass_[3];
            float bounds_of_octree_points_[6];
            PointCloudIn points_for_registration_;
            void* user_data_;
        };

        typedef std::list<std::pair<const ORROctree::Node::Data*, const ORROctree::Node::Data*> > node_data_pair_list;
        typedef std::map<const Model*, node_data_pair_list> HashTableCell;
        typedef VoxelStructure<HashTableCell, float> HashTable;

      public:
        ModelLibrary (float pair_width, float voxel_size, float max_coplanarity_angle = 3.0f*AUX_DEG_TO_RADIANS/*3 degrees*/);
        virtual ~ModelLibrary ()
        {
          this->clear();
        }

        void
        removeAllModels ();

        inline void
        setMaxCoplanarityAngleDegrees (float max_coplanarity_angle_degrees)
        {
          max_coplanarity_angle_ = max_coplanarity_angle_degrees*AUX_DEG_TO_RADIANS;
        }

        inline void
        ignoreCoplanarPointPairsOn ()
        {
          ignore_coplanar_opps_ = true;
        }

        inline void
        ignoreCoplanarPointPairsOff ()
        {
          ignore_coplanar_opps_ = false;
        }

        bool
        addModel (const PointCloudIn& points, const PointCloudN& normals, const std::string& object_name,
                  float frac_of_points_for_registration, void* user_data = NULL);

        inline const HashTable&
        getHashTable () const
        {
          return (hash_table_);
        }

        inline const Model*
        getModel (const std::string& name) const
        {
          std::map<std::string,Model*>::const_iterator it = models_.find (name);
          if ( it != models_.end () )
            return (it->second);

          return (NULL);
        }

        inline const std::map<std::string,Model*>&
        getModels () const
        {
          return (models_);
        }

      protected:
        void
        clear ();

        bool
        addToHashTable (Model* model, const ORROctree::Node::Data* data1, const ORROctree::Node::Data* data2);

      protected:
        float pair_width_;
        float voxel_size_;
        float max_coplanarity_angle_;
        bool ignore_coplanar_opps_;

        std::map<std::string,Model*> models_;
        HashTable hash_table_;
        int num_of_cells_[3];
    };
  } // namespace recognition
} // namespace pcl

#endif // PCL_RECOGNITION_MODEL_LIBRARY_H_