OpenGV
A library for solving calibrated central and non-central geometric vision problems
PointCloudSacProblem.hpp
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30 
38 #ifndef OPENGV_SAC_PROBLEMS_POINT_CLOUD_POINTCLOUDSACPROBLEM_HPP_
39 #define OPENGV_SAC_PROBLEMS_POINT_CLOUD_POINTCLOUDSACPROBLEM_HPP_
40 
42 #include <opengv/types.hpp>
43 #include <opengv/point_cloud/PointCloudAdapterBase.hpp>
44 
48 namespace opengv
49 {
53 namespace sac_problems
54 {
58 namespace point_cloud
59 {
60 
67  public sac::SampleConsensusProblem<transformation_t>
68 {
69 public:
74 
75 
82  PointCloudSacProblem(adapter_t & adapter, bool randomSeed = true) :
83  sac::SampleConsensusProblem<model_t> (randomSeed),
84  _adapter(adapter)
85  {
87  };
88 
98  adapter_t & adapter,
99  const std::vector<int> & indices,
100  bool randomSeed = true) :
101  sac::SampleConsensusProblem<model_t> (randomSeed),
102  _adapter(adapter)
103  {
104  setIndices(indices);
105  };
106 
110  virtual ~PointCloudSacProblem() {};
111 
115  virtual bool computeModelCoefficients(
116  const std::vector<int> & indices,
117  model_t & outModel) const;
118 
122  virtual void getSelectedDistancesToModel(
123  const model_t & model,
124  const std::vector<int> & indices,
125  std::vector<double> & scores) const;
126 
130  virtual void optimizeModelCoefficients(
131  const std::vector<int> & inliers,
132  const model_t & model,
133  model_t & optimized_model);
134 
138  virtual int getSampleSize() const;
139 
140 protected:
142  adapter_t & _adapter;
143 };
144 
145 }
146 }
147 }
148 
149 #endif //#ifndef OPENGV_SAC_PROBLEMS_POINT_CLOUD_POINTCLOUDSACPROBLEM_HPP_
virtual ~PointCloudSacProblem()
Definition: PointCloudSacProblem.hpp:110
PointCloudSacProblem(adapter_t &adapter, bool randomSeed=true)
Constructor.
Definition: PointCloudSacProblem.hpp:82
Eigen::Matrix< double, 3, 4 > transformation_t
Definition: types.hpp:82
The namespace of this library.
Definition: AbsoluteAdapterBase.hpp:47
virtual void optimizeModelCoefficients(const std::vector< int > &inliers, const model_t &model, model_t &optimized_model)
See parent-class.
void setIndices(const std::vector< int > &indices)
Set the indices_ variable (see member-description).
SampleConsensusProblem(bool randomSeed=true)
Contructor.
Basis-class for Sample-consensus problems. Contains declarations for the three basic functions of a s...
Definition: PointCloudAdapterBase.hpp:61
A collection of variables used in geometric vision for the computation of calibrated absolute and rel...
Definition: SampleConsensusProblem.hpp:67
opengv::point_cloud::PointCloudAdapterBase adapter_t
Definition: PointCloudSacProblem.hpp:73
PointCloudSacProblem(adapter_t &adapter, const std::vector< int > &indices, bool randomSeed=true)
Constructor.
Definition: PointCloudSacProblem.hpp:97
virtual size_t getNumberCorrespondences() const =0
Retrieve the number of correspondences.
Definition: PointCloudSacProblem.hpp:66
virtual bool computeModelCoefficients(const std::vector< int > &indices, model_t &outModel) const
See parent-class.
adapter_t & _adapter
Definition: PointCloudSacProblem.hpp:142
virtual void getSelectedDistancesToModel(const model_t &model, const std::vector< int > &indices, std::vector< double > &scores) const
See parent-class.
void setUniformIndices(int N)
Use this method if you want to use all samples.
virtual int getSampleSize() const
See parent-class.
transformation_t model_t
Definition: PointCloudSacProblem.hpp:71