OpenGV
A library for solving calibrated central and non-central geometric vision problems
CentralRelativePoseSacProblem.hpp
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30 
38 #ifndef OPENGV_SAC_PROBLEMS_RELATIVE_POSE_CENTRALRELATIVEPOSESACPROBLEM_HPP_
39 #define OPENGV_SAC_PROBLEMS_RELATIVE_POSE_CENTRALRELATIVEPOSESACPROBLEM_HPP_
40 
42 #include <opengv/types.hpp>
44 
48 namespace opengv
49 {
53 namespace sac_problems
54 {
58 namespace relative_pose
59 {
60 
68  public sac::SampleConsensusProblem<transformation_t>
69 {
70 public:
75 
77  typedef enum Algorithm
78  {
79  STEWENIUS = 0, // [5]
80  NISTER = 1, // [6]
81  SEVENPT = 2, // [8]
82  EIGHTPT = 3 // [9,10]
83  } algorithm_t;
84 
85 
93  CentralRelativePoseSacProblem(adapter_t & adapter, algorithm_t algorithm,
94  bool randomSeed = true) :
95  sac::SampleConsensusProblem<model_t> (randomSeed),
96  _adapter(adapter),
97  _algorithm(algorithm)
98  {
100  };
101 
112  adapter_t & adapter,
113  algorithm_t algorithm,
114  const std::vector<int> & indices,
115  bool randomSeed = true) :
116  sac::SampleConsensusProblem<model_t> (randomSeed),
117  _adapter(adapter),
118  _algorithm(algorithm)
119  {
120  setIndices(indices);
121  };
122 
127 
131  virtual bool computeModelCoefficients(
132  const std::vector<int> & indices,
133  model_t & outModel) const;
134 
138  virtual void getSelectedDistancesToModel(
139  const model_t & model,
140  const std::vector<int> & indices,
141  std::vector<double> & scores) const;
142 
146  virtual void optimizeModelCoefficients(
147  const std::vector<int> & inliers,
148  const model_t & model,
149  model_t & optimized_model);
150 
154  virtual int getSampleSize() const;
155 
156 protected:
158  adapter_t & _adapter;
161 };
162 
163 }
164 }
165 }
166 
167 #endif //#ifndef OPENGV_SAC_PROBLEMS_RELATIVE_POSE_CENTRALRELATIVEPOSESACPROBLEM_HPP_
enum opengv::sac_problems::relative_pose::CentralRelativePoseSacProblem::Algorithm algorithm_t
adapter_t & _adapter
Definition: CentralRelativePoseSacProblem.hpp:158
Eigen::Matrix< double, 3, 4 > transformation_t
Definition: types.hpp:82
virtual bool computeModelCoefficients(const std::vector< int > &indices, model_t &outModel) const
See parent-class.
The namespace of this library.
Definition: AbsoluteAdapterBase.hpp:47
Definition: CentralRelativePoseSacProblem.hpp:67
Algorithm
Definition: CentralRelativePoseSacProblem.hpp:77
virtual void getSelectedDistancesToModel(const model_t &model, const std::vector< int > &indices, std::vector< double > &scores) const
See parent-class.
Adapter-class for passing bearing-vector correspondences to the relative-pose algorithms.
void setIndices(const std::vector< int > &indices)
Set the indices_ variable (see member-description).
CentralRelativePoseSacProblem(adapter_t &adapter, algorithm_t algorithm, bool randomSeed=true)
Constructor.
Definition: CentralRelativePoseSacProblem.hpp:93
SampleConsensusProblem(bool randomSeed=true)
Contructor.
Basis-class for Sample-consensus problems. Contains declarations for the three basic functions of a s...
A collection of variables used in geometric vision for the computation of calibrated absolute and rel...
Definition: SampleConsensusProblem.hpp:67
algorithm_t _algorithm
Definition: CentralRelativePoseSacProblem.hpp:160
Definition: RelativeAdapterBase.hpp:63
opengv::relative_pose::RelativeAdapterBase adapter_t
Definition: CentralRelativePoseSacProblem.hpp:74
virtual ~CentralRelativePoseSacProblem()
Definition: CentralRelativePoseSacProblem.hpp:126
void setUniformIndices(int N)
Use this method if you want to use all samples.
virtual size_t getNumberCorrespondences() const =0
Retrieve the number of correspondences.
virtual void optimizeModelCoefficients(const std::vector< int > &inliers, const model_t &model, model_t &optimized_model)
See parent-class.
CentralRelativePoseSacProblem(adapter_t &adapter, algorithm_t algorithm, const std::vector< int > &indices, bool randomSeed=true)
Constructor.
Definition: CentralRelativePoseSacProblem.hpp:111
transformation_t model_t
Definition: CentralRelativePoseSacProblem.hpp:72