OpenGV
A library for solving calibrated central and non-central geometric vision problems
MultiRansac.hpp
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30 
31 //Note: has been derived from ROS
32 
41 #ifndef OPENGV_SAC_MULTIRANSAC_HPP_
42 #define OPENGV_SAC_MULTIRANSAC_HPP_
43 
44 #include <vector>
46 #include <cstdio>
47 
51 namespace opengv
52 {
56 namespace sac
57 {
58 
63 template<typename PROBLEM_T>
64 class MultiRansac : public MultiSampleConsensus<PROBLEM_T>
65 {
66 public:
68  typedef PROBLEM_T problem_t;
70  typedef typename problem_t::model_t model_t;
71 
80 
85  int maxIterations = 1000,
86  double threshold = 1.0,
87  double probability = 0.99 );
91  virtual ~MultiRansac();
92 
96  bool computeModel( int debug_verbosity_level = 0 );
97 };
98 
99 } // namespace sac
100 } // namespace opengv
101 
102 #include "implementation/MultiRansac.hpp"
103 
104 #endif /* OPENGV_SAC_MULTIRANSAC_HPP_ */
Definition: MultiSampleConsensus.hpp:62
virtual ~MultiRansac()
Destructor.
The namespace of this library.
Definition: AbsoluteAdapterBase.hpp:47
PROBLEM_T problem_t
Definition: MultiRansac.hpp:68
problem_t::model_t model_t
Definition: MultiRansac.hpp:70
bool computeModel(int debug_verbosity_level=0)
Fit the model.
MultiRansac(int maxIterations=1000, double threshold=1.0, double probability=0.99)
Constructor.
Definition: MultiRansac.hpp:64
This is a base class for sample consensus methods such as Ransac. Derivatives call the three basic fu...