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#ifndef PCL_SAMPLE_CONSENSUS_MODEL_PARALLELPLANE_H_
#define PCL_SAMPLE_CONSENSUS_MODEL_PARALLELPLANE_H_

#include <pcl/sample_consensus/sac_model_plane.h>
#include <pcl/common/common.h>

namespace pcl
{
  /** \brief @b SampleConsensusModelParallelPlane defines a model for 3D plane segmentation using additional
    * angular constraints. The plane must be parallel to a user-specified axis
    * (\ref setAxis) within an user-specified angle threshold (\ref setEpsAngle).
    *
    * Code example for a plane model, parallel (within a 15 degrees tolerance) with the Z axis:
    * \code
    * SampleConsensusModelParallelPlane<pcl::PointXYZ> model (cloud);
    * model.setAxis (Eigen::Vector3f (0.0, 0.0, 1.0));
    * model.setEpsAngle (pcl::deg2rad (15));
    * \endcode
    *
    * \note Please remember that you need to specify an angle > 0 in order to activate the axis-angle constraint!
    *
    * \author Radu B. Rusu, Nico Blodow
    * \ingroup sample_consensus
    */
  template <typename PointT>
  class SampleConsensusModelParallelPlane : public SampleConsensusModelPlane<PointT>
  {
    public:
      typedef typename SampleConsensusModelPlane<PointT>::PointCloud PointCloud;
      typedef typename SampleConsensusModelPlane<PointT>::PointCloudPtr PointCloudPtr;
      typedef typename SampleConsensusModelPlane<PointT>::PointCloudConstPtr PointCloudConstPtr;

      typedef boost::shared_ptr<SampleConsensusModelParallelPlane> Ptr;

      /** \brief Constructor for base SampleConsensusModelParallelPlane.
        * \param[in] cloud the input point cloud dataset
        * \param[in] random if true set the random seed to the current time, else set to 12345 (default: false)
        */
      SampleConsensusModelParallelPlane (const PointCloudConstPtr &cloud,
                                         bool random = false) 
        : SampleConsensusModelPlane<PointT> (cloud, random)
        , axis_ (Eigen::Vector3f::Zero ())
        , eps_angle_ (0.0)
        , sin_angle_ (-1.0)
      {
      }

      /** \brief Constructor for base SampleConsensusModelParallelPlane.
        * \param[in] cloud the input point cloud dataset
        * \param[in] indices a vector of point indices to be used from \a cloud
        * \param[in] random if true set the random seed to the current time, else set to 12345 (default: false)
        */
      SampleConsensusModelParallelPlane (const PointCloudConstPtr &cloud, 
                                         const std::vector<int> &indices,
                                         bool random = false) 
        : SampleConsensusModelPlane<PointT> (cloud, indices, random)
        , axis_ (Eigen::Vector3f::Zero ())
        , eps_angle_ (0.0)
        , sin_angle_ (-1.0)
      {
      }
      
      /** \brief Empty destructor */
      virtual ~SampleConsensusModelParallelPlane () {}

      /** \brief Set the axis along which we need to search for a plane perpendicular to.
        * \param[in] ax the axis along which we need to search for a plane perpendicular to
        */
      inline void
      setAxis (const Eigen::Vector3f &ax) { axis_ = ax; }

      /** \brief Get the axis along which we need to search for a plane perpendicular to. */
      inline Eigen::Vector3f
      getAxis ()  { return (axis_); }

      /** \brief Set the angle epsilon (delta) threshold.
        * \param[in] ea the maximum allowed difference between the plane normal and the given axis.
        * \note You need to specify an angle > 0 in order to activate the axis-angle constraint!
        */
      inline void
      setEpsAngle (const double ea) { eps_angle_ = ea; sin_angle_ = fabs (sin (ea));}

      /** \brief Get the angle epsilon (delta) threshold. */
      inline double
      getEpsAngle () { return (eps_angle_); }

      /** \brief Select all the points which respect the given model coefficients as inliers.
        * \param[in] model_coefficients the coefficients of a plane model that we need to compute distances to
        * \param[in] threshold a maximum admissible distance threshold for determining the inliers from the outliers
        * \param[out] inliers the resultant model inliers
        */
      void
      selectWithinDistance (const Eigen::VectorXf &model_coefficients,
                            const double threshold,
                            std::vector<int> &inliers);

      /** \brief Count all the points which respect the given model coefficients as inliers.
        *
        * \param[in] model_coefficients the coefficients of a model that we need to compute distances to
        * \param[in] threshold maximum admissible distance threshold for determining the inliers from the outliers
        * \return the resultant number of inliers
        */
      virtual int
      countWithinDistance (const Eigen::VectorXf &model_coefficients,
                           const double threshold);

      /** \brief Compute all distances from the cloud data to a given plane model.
        * \param[in] model_coefficients the coefficients of a plane model that we need to compute distances to
        * \param[out] distances the resultant estimated distances
        */
      void
      getDistancesToModel (const Eigen::VectorXf &model_coefficients,
                           std::vector<double> &distances);

      /** \brief Return an unique id for this model (SACMODEL_PARALLEL_PLANE). */
      inline pcl::SacModel
      getModelType () const { return (SACMODEL_PARALLEL_PLANE); }

    protected:
      /** \brief Check whether a model is valid given the user constraints.
        * \param[in] model_coefficients the set of model coefficients
        */
      bool
      isModelValid (const Eigen::VectorXf &model_coefficients);

      /** \brief The axis along which we need to search for a plane perpendicular to. */
      Eigen::Vector3f axis_;

      /** \brief The maximum allowed difference between the plane and the given axis. */
      double eps_angle_;

      /** \brief The sine of the angle*/
      double sin_angle_;
  };
}

#ifdef PCL_NO_PRECOMPILE
#include <pcl/sample_consensus/impl/sac_model_parallel_plane.hpp>
#endif

#endif  //#ifndef PCL_SAMPLE_CONSENSUS_MODEL_PARALLELPLANE_H_
