OpenGV
A library for solving calibrated central and non-central geometric vision problems
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opengv::sac::Lmeds< PROBLEM_T > Class Template Reference

#include <Lmeds.hpp>

Inheritance diagram for opengv::sac::Lmeds< PROBLEM_T >:
opengv::sac::SampleConsensus< PROBLEM_T >

Public Types

typedef PROBLEM_T problem_t
typedef problem_t::model_t model_t
Public Types inherited from opengv::sac::SampleConsensus< PROBLEM_T >
typedef problem_t::model_t model_t

Public Member Functions

 Lmeds (int maxIterations=1000, double threshold=1.0, double probability=0.99)
 Constructor.
virtual ~Lmeds ()
 Destructor.
bool computeModel (int debug_verbosity_level=0)
 Fit the model.
Public Member Functions inherited from opengv::sac::SampleConsensus< PROBLEM_T >
 SampleConsensus (int maxIterations=1000, double threshold=1.0, double probability=0.99)
 Constructor.
virtual ~SampleConsensus ()
 Destructor.

Additional Inherited Members

Public Attributes inherited from opengv::sac::SampleConsensus< PROBLEM_T >
EIGEN_MAKE_ALIGNED_OPERATOR_NEW typedef PROBLEM_T problem_t
int max_iterations_
int iterations_
double threshold_
double probability_
model_t model_coefficients_
std::vector< int > model_
std::vector< int > inliers_
std::shared_ptr< PROBLEM_T > sac_model_

Detailed Description

template<typename PROBLEM_T>
class opengv::sac::Lmeds< PROBLEM_T >

The LMedS (Least Median of Squares) sample consensus method

Member Typedef Documentation

◆ model_t

template<typename PROBLEM_T>
typedef problem_t::model_t opengv::sac::Lmeds< PROBLEM_T >::model_t

The model we trying to fit

◆ problem_t

template<typename PROBLEM_T>
typedef PROBLEM_T opengv::sac::Lmeds< PROBLEM_T >::problem_t

Member Function Documentation

◆ computeModel()

template<typename PROBLEM_T>
bool opengv::sac::Lmeds< PROBLEM_T >::computeModel ( int debug_verbosity_level = 0)
virtual

Fit the model.

Implements opengv::sac::SampleConsensus< PROBLEM_T >.


The documentation for this class was generated from the following file: