Point Cloud Library (PCL)  1.14.0-dev
poses_from_matches.h
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37 
38 #pragma once
39 
40 #include <pcl/correspondence.h>
41 #include <pcl/memory.h>
42 #include <pcl/pcl_macros.h>
43 #include <pcl/types.h>
44 
45 namespace pcl
46 {
47  /**
48  * \brief calculate 3D transformation based on point correspondences
49  * \author Bastian Steder
50  * \ingroup common
51  */
53  {
54  public:
55  // =====STRUCTS=====
56  //! Parameters used in this class
58  {
59  float max_correspondence_distance_error = 0.2f; // As a fraction
60  };
61 
62  //! A result of the pose estimation process
63  struct PoseEstimate
64  {
65  Eigen::Affine3f transformation = Eigen::Affine3f::Identity (); //!< The estimated transformation between the two coordinate systems
66  float score = 0; //!< An estimate in [0,1], how good the estimated pose is
67  Indices correspondence_indices; //!< The indices of the used correspondences
68 
69  struct IsBetter
70  {
71  bool operator()(const PoseEstimate& pe1, const PoseEstimate& pe2) const { return pe1.score>pe2.score;}
72  };
73  public:
75  };
76 
77  // =====TYPEDEFS=====
78  using PoseEstimatesVector = std::vector<PoseEstimate, Eigen::aligned_allocator<PoseEstimate> >;
79 
80 
81  // =====STATIC METHODS=====
82 
83  // =====PUBLIC METHODS=====
84  /** Use single 6DOF correspondences to estimate transformations between the coordinate systems.
85  * Use max_no_of_results=-1 to use all.
86  * It is assumed, that the correspondences are sorted from good to bad. */
87  void
89  const PointCorrespondences6DVector& correspondences,
90  int max_no_of_results, PoseEstimatesVector& pose_estimates) const;
91 
92  /** Use pairs of 6DOF correspondences to estimate transformations between the coordinate systems.
93  * It is assumed, that the correspondences are sorted from good to bad. */
94  void
96  const PointCorrespondences6DVector& correspondences,
97  int max_no_of_tested_combinations, int max_no_of_results,
98  PoseEstimatesVector& pose_estimates) const;
99 
100  /** Use triples of 6DOF correspondences to estimate transformations between the coordinate systems.
101  * It is assumed, that the correspondences are sorted from good to bad. */
102  void
104  const PointCorrespondences6DVector& correspondences,
105  int max_no_of_tested_combinations, int max_no_of_results,
106  PoseEstimatesVector& pose_estimates) const;
107 
108  /// Get a reference to the parameters struct
109  Parameters&
110  getParameters () { return parameters_; }
111 
112  protected:
113  // =====PROTECTED MEMBER VARIABLES=====
115 
116  };
117 
118 } // end namespace pcl
calculate 3D transformation based on point correspondences
void estimatePosesUsing3Correspondences(const PointCorrespondences6DVector &correspondences, int max_no_of_tested_combinations, int max_no_of_results, PoseEstimatesVector &pose_estimates) const
Use triples of 6DOF correspondences to estimate transformations between the coordinate systems.
void estimatePosesUsing1Correspondence(const PointCorrespondences6DVector &correspondences, int max_no_of_results, PoseEstimatesVector &pose_estimates) const
Use single 6DOF correspondences to estimate transformations between the coordinate systems.
void estimatePosesUsing2Correspondences(const PointCorrespondences6DVector &correspondences, int max_no_of_tested_combinations, int max_no_of_results, PoseEstimatesVector &pose_estimates) const
Use pairs of 6DOF correspondences to estimate transformations between the coordinate systems.
std::vector< PoseEstimate, Eigen::aligned_allocator< PoseEstimate > > PoseEstimatesVector
Parameters & getParameters()
Get a reference to the parameters struct.
#define PCL_MAKE_ALIGNED_OPERATOR_NEW
Macro to signal a class requires a custom allocator.
Definition: memory.h:63
Defines functions, macros and traits for allocating and using memory.
IndicesAllocator<> Indices
Type used for indices in PCL.
Definition: types.h:133
std::vector< PointCorrespondence6D, Eigen::aligned_allocator< PointCorrespondence6D > > PointCorrespondences6DVector
Defines all the PCL and non-PCL macros used.
#define PCL_EXPORTS
Definition: pcl_macros.h:323
Parameters used in this class.
bool operator()(const PoseEstimate &pe1, const PoseEstimate &pe2) const
A result of the pose estimation process.
float score
An estimate in [0,1], how good the estimated pose is.
Indices correspondence_indices
The indices of the used correspondences.
Defines basic non-point types used by PCL.