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TransformationValidation represents the base class for methods that validate the correctness of a transformation found through TransformationEstimation. More...

#include <pcl/registration/transformation_validation.h>

Public Types

using Matrix4 = Eigen::Matrix< Scalar, 4, 4 >
using Ptr = shared_ptr< TransformationValidation< PointSource, PointTarget, Scalar > >
using ConstPtr = shared_ptr< const TransformationValidation< PointSource, PointTarget, Scalar > >
using PointCloudSource = pcl::PointCloud< PointSource >
using PointCloudSourcePtr = typename PointCloudSource::Ptr
using PointCloudSourceConstPtr = typename PointCloudSource::ConstPtr
using PointCloudTarget = pcl::PointCloud< PointTarget >
using PointCloudTargetPtr = typename PointCloudTarget::Ptr
using PointCloudTargetConstPtr = typename PointCloudTarget::ConstPtr

Public Member Functions

TransformationValidation ()
virtual ~TransformationValidation ()
virtual double validateTransformation (const PointCloudSourceConstPtr &cloud_src, const PointCloudTargetConstPtr &cloud_tgt, const Matrix4 &transformation_matrix) const =0
Validate the given transformation with respect to the input cloud data, and return a score. More...
virtual bool operator() (const double &score1, const double &score2) const =0
Comparator function for deciding which score is better after running the validation on multiple transforms. More...
virtual bool isValid (const PointCloudSourceConstPtr &cloud_src, const PointCloudTargetConstPtr &cloud_tgt, const Matrix4 &transformation_matrix) const =0
Check if the score is valid for a specific transformation. More...

Detailed Description

template<typename PointSource, typename PointTarget, typename Scalar = float>
class pcl::registration::TransformationValidation< PointSource, PointTarget, Scalar >

TransformationValidation represents the base class for methods that validate the correctness of a transformation found through TransformationEstimation.

The inputs for a validation estimation can take any or all of the following:

  • source point cloud
  • target point cloud
  • estimated transformation between source and target

The output is in the form of a score or a confidence measure.

Note
The class is templated on the source and target point types as well as on the output scalar of the transformation matrix (i.e., float or double). Default: float.
Author
Radu B. Rusu

Definition at line 68 of file transformation_validation.h.

Member Typedef Documentation

ConstPtr

template<typename PointSource , typename PointTarget , typename Scalar = float>
using pcl::registration::TransformationValidation< PointSource, PointTarget, Scalar >::ConstPtr = shared_ptr<const TransformationValidation<PointSource, PointTarget, Scalar> >

Definition at line 73 of file transformation_validation.h.

Matrix4

template<typename PointSource , typename PointTarget , typename Scalar = float>
using pcl::registration::TransformationValidation< PointSource, PointTarget, Scalar >::Matrix4 = Eigen::Matrix<Scalar, 4, 4>

Definition at line 70 of file transformation_validation.h.

PointCloudSource

template<typename PointSource , typename PointTarget , typename Scalar = float>
using pcl::registration::TransformationValidation< PointSource, PointTarget, Scalar >::PointCloudSource = pcl::PointCloud<PointSource>

Definition at line 75 of file transformation_validation.h.

PointCloudSourceConstPtr

template<typename PointSource , typename PointTarget , typename Scalar = float>
using pcl::registration::TransformationValidation< PointSource, PointTarget, Scalar >::PointCloudSourceConstPtr = typename PointCloudSource::ConstPtr

Definition at line 77 of file transformation_validation.h.

PointCloudSourcePtr

template<typename PointSource , typename PointTarget , typename Scalar = float>
using pcl::registration::TransformationValidation< PointSource, PointTarget, Scalar >::PointCloudSourcePtr = typename PointCloudSource::Ptr

Definition at line 76 of file transformation_validation.h.

PointCloudTarget

template<typename PointSource , typename PointTarget , typename Scalar = float>
using pcl::registration::TransformationValidation< PointSource, PointTarget, Scalar >::PointCloudTarget = pcl::PointCloud<PointTarget>

Definition at line 79 of file transformation_validation.h.

PointCloudTargetConstPtr

template<typename PointSource , typename PointTarget , typename Scalar = float>
using pcl::registration::TransformationValidation< PointSource, PointTarget, Scalar >::PointCloudTargetConstPtr = typename PointCloudTarget::ConstPtr

Definition at line 81 of file transformation_validation.h.

PointCloudTargetPtr

template<typename PointSource , typename PointTarget , typename Scalar = float>
using pcl::registration::TransformationValidation< PointSource, PointTarget, Scalar >::PointCloudTargetPtr = typename PointCloudTarget::Ptr

Definition at line 80 of file transformation_validation.h.

Ptr

template<typename PointSource , typename PointTarget , typename Scalar = float>
using pcl::registration::TransformationValidation< PointSource, PointTarget, Scalar >::Ptr = shared_ptr<TransformationValidation<PointSource, PointTarget, Scalar> >

Definition at line 71 of file transformation_validation.h.

Constructor & Destructor Documentation

TransformationValidation()

template<typename PointSource , typename PointTarget , typename Scalar = float>
pcl::registration::TransformationValidation< PointSource, PointTarget, Scalar >::TransformationValidation ( )
inline

Definition at line 83 of file transformation_validation.h.

~TransformationValidation()

template<typename PointSource , typename PointTarget , typename Scalar = float>
virtual pcl::registration::TransformationValidation< PointSource, PointTarget, Scalar >::~TransformationValidation ( )
inlinevirtual

Definition at line 84 of file transformation_validation.h.

Member Function Documentation

isValid()

template<typename PointSource , typename PointTarget , typename Scalar = float>
virtual bool pcl::registration::TransformationValidation< PointSource, PointTarget, Scalar >::isValid ( const PointCloudSourceConstPtr & cloud_src,
const PointCloudTargetConstPtr & cloud_tgt,
const Matrix4 & transformation_matrix
) const
pure virtual

Check if the score is valid for a specific transformation.

Pure virtual.

Parameters
[in] cloud_src the source point cloud dataset
[in] cloud_tgt the target point cloud dataset
[out] transformation_matrix the transformation matrix
Returns
true if the transformation is valid, false otherwise.

operator()()

template<typename PointSource , typename PointTarget , typename Scalar = float>
virtual bool pcl::registration::TransformationValidation< PointSource, PointTarget, Scalar >::operator() ( const double & score1,
const double & score2
) const
pure virtual

Comparator function for deciding which score is better after running the validation on multiple transforms.

Pure virtual.

Note
For example, for Euclidean distances smaller is better, for inliers the opposite.
Parameters
[in] score1 the first value
[in] score2 the second value
Returns
true if score1 is better than score2

validateTransformation()

template<typename PointSource , typename PointTarget , typename Scalar = float>
virtual double pcl::registration::TransformationValidation< PointSource, PointTarget, Scalar >::validateTransformation ( const PointCloudSourceConstPtr & cloud_src,
const PointCloudTargetConstPtr & cloud_tgt,
const Matrix4 & transformation_matrix
) const
pure virtual

Validate the given transformation with respect to the input cloud data, and return a score.

Pure virtual.

Parameters
[in] cloud_src the source point cloud dataset
[in] cloud_tgt the target point cloud dataset
[out] transformation_matrix the transformation matrix
Returns
the score or confidence measure for the given transformation_matrix with respect to the input data
The documentation for this class was generated from the following file:

© 2009–2012, Willow Garage, Inc.
© 2012–, Open Perception, Inc.
Licensed under the BSD License.
https://pointclouds.org/documentation/classpcl_1_1registration_1_1_transformation_validation.html