OpenGV
A library for solving calibrated central and non-central geometric vision problems
Lmeds.hpp
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29 
30 //Note: has been derived from Ransac which has been derived from ROS
31 
37 #ifndef OPENGV_SAC_LMEDS_HPP_
38 #define OPENGV_SAC_LMEDS_HPP_
39 
40 #include <vector>
42 #include <cstdio>
43 
47 namespace opengv
48 {
52 namespace sac
53 {
54 
58 template<typename PROBLEM_T>
59 class Lmeds : public SampleConsensus<PROBLEM_T>
60 {
61 public:
63  typedef PROBLEM_T problem_t;
65  typedef typename problem_t::model_t model_t;
66 
75 
80  int maxIterations = 1000,
81  double threshold = 1.0,
82  double probability = 0.99);
86  virtual ~Lmeds();
87 
91  bool computeModel( int debug_verbosity_level = 0 );
92 };
93 
94 } // namespace sac
95 } // namespace opengv
96 
97 #include "implementation/Lmeds.hpp"
98 
99 #endif /* OPENGV_SAC_LMEDS_HPP_ */
This is a base class for sample consensus methods such as Ransac. Derivatives call the three basic fu...
Definition: Lmeds.hpp:60
Lmeds(int maxIterations=1000, double threshold=1.0, double probability=0.99)
Constructor.
problem_t::model_t model_t
Definition: Lmeds.hpp:65
virtual ~Lmeds()
Destructor.
PROBLEM_T problem_t
Definition: Lmeds.hpp:63
bool computeModel(int debug_verbosity_level=0)
Fit the model.
Definition: SampleConsensus.hpp:62
The namespace of this library.
Definition: AbsoluteAdapterBase.hpp:48