OpenGV
A library for solving calibrated central and non-central geometric vision problems
SampleConsensus.hpp
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30 
31 //Note: has been derived from ROS
32 
41 #ifndef OPENGV_SAC_SAMPLECONSENSUS_HPP_
42 #define OPENGV_SAC_SAMPLECONSENSUS_HPP_
43 
44 #include <memory>
45 
49 namespace opengv
50 {
54 namespace sac
55 {
56 
60 template<typename PROBLEM_T>
62 {
63 public:
64  EIGEN_MAKE_ALIGNED_OPERATOR_NEW
66  typedef PROBLEM_T problem_t;
68  typedef typename problem_t::model_t model_t;
69 
79  int maxIterations = 1000,
80  double threshold = 1.0,
81  double probability = 0.99 );
85  virtual ~SampleConsensus();
86 
92  virtual bool computeModel(
93  int debug_verbosity_level = 0 ) = 0;
94 
95  // \todo accessors
96  //private:
97 
103  double threshold_;
105  double probability_;
109  std::vector<int> model_;
111  std::vector<int> inliers_;
113  std::shared_ptr<PROBLEM_T> sac_model_;
114 };
115 
116 } // namespace sac
117 } // namespace opengv
118 
119 #include "implementation/SampleConsensus.hpp"
120 
121 #endif /* OPENGV_SAC_SAMPLECONSENSUS_HPP_ */
std::vector< int > model_
Definition: SampleConsensus.hpp:109
double threshold_
Definition: SampleConsensus.hpp:103
The namespace of this library.
Definition: AbsoluteAdapterBase.hpp:47
EIGEN_MAKE_ALIGNED_OPERATOR_NEW typedef PROBLEM_T problem_t
Definition: SampleConsensus.hpp:66
std::shared_ptr< PROBLEM_T > sac_model_
Definition: SampleConsensus.hpp:113
int max_iterations_
Definition: SampleConsensus.hpp:99
model_t model_coefficients_
Definition: SampleConsensus.hpp:107
int iterations_
Definition: SampleConsensus.hpp:101
Definition: SampleConsensus.hpp:61
virtual ~SampleConsensus()
Destructor.
double probability_
Definition: SampleConsensus.hpp:105
SampleConsensus(int maxIterations=1000, double threshold=1.0, double probability=0.99)
Constructor.
virtual bool computeModel(int debug_verbosity_level=0)=0
Fit the model to the data.
problem_t::model_t model_t
Definition: SampleConsensus.hpp:68
std::vector< int > inliers_
Definition: SampleConsensus.hpp:111