OpenGV
A library for solving calibrated central and non-central geometric vision problems
Ransac.hpp
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30 
31 //Note: has been derived from ROS
32 
38 #ifndef OPENGV_SAC_RANSAC_HPP_
39 #define OPENGV_SAC_RANSAC_HPP_
40 
41 #include <vector>
43 #include <cstdio>
44 
48 namespace opengv
49 {
53 namespace sac
54 {
55 
59 template<typename PROBLEM_T>
60 class Ransac : public SampleConsensus<PROBLEM_T>
61 {
62 public:
64  typedef PROBLEM_T problem_t;
66  typedef typename problem_t::model_t model_t;
67 
76 
80  Ransac(
81  int maxIterations = 1000,
82  double threshold = 1.0,
83  double probability = 0.99 );
87  virtual ~Ransac();
88 
92  bool computeModel( int debug_verbosity_level = 0 );
93 };
94 
95 } // namespace sac
96 } // namespace opengv
97 
98 #include "implementation/Ransac.hpp"
99 
100 #endif /* OPENGV_SAC_RANSAC_HPP_ */
Definition: Ransac.hpp:60
The namespace of this library.
Definition: AbsoluteAdapterBase.hpp:47
Ransac(int maxIterations=1000, double threshold=1.0, double probability=0.99)
Constructor.
problem_t::model_t model_t
Definition: Ransac.hpp:66
virtual ~Ransac()
Destructor.
Definition: SampleConsensus.hpp:61
This is a base class for sample consensus methods such as Ransac. Derivatives call the three basic fu...
bool computeModel(int debug_verbosity_level=0)
Fit the model.
PROBLEM_T problem_t
Definition: Ransac.hpp:64