OpenGV
A library for solving calibrated central and non-central geometric vision problems
Loading...
Searching...
No Matches
opengv::sac_problems::relative_pose::EigensolverSacProblem Class Reference

#include <EigensolverSacProblem.hpp>

Inheritance diagram for opengv::sac_problems::relative_pose::EigensolverSacProblem:
opengv::sac::SampleConsensusProblem< eigensolverOutput_t >

Public Types

typedef eigensolverOutput_t model_t
typedef opengv::relative_pose::RelativeAdapterBase adapter_t
Public Types inherited from opengv::sac::SampleConsensusProblem< eigensolverOutput_t >
typedef eigensolverOutput_t model_t

Public Member Functions

 EigensolverSacProblem (adapter_t &adapter, size_t sampleSize, bool randomSeed=true)
 Constructor.
 EigensolverSacProblem (adapter_t &adapter, size_t sampleSize, const std::vector< int > &indices, bool randomSeed=true)
 Constructor.
virtual ~EigensolverSacProblem ()
virtual bool computeModelCoefficients (const std::vector< int > &indices, model_t &outModel) const
 See parent-class.
virtual void getSelectedDistancesToModel (const model_t &model, const std::vector< int > &indices, std::vector< double > &scores) const
 See parent-class.
virtual void optimizeModelCoefficients (const std::vector< int > &inliers, const model_t &model, model_t &optimized_model)
 See parent-class.
virtual int getSampleSize () const
 See parent-class.
Public Member Functions inherited from opengv::sac::SampleConsensusProblem< eigensolverOutput_t >
 SampleConsensusProblem (bool randomSeed=true)
 Contructor.
virtual ~SampleConsensusProblem ()
 Destructor.
virtual void getSamples (int &iterations, std::vector< int > &samples)
 Get samples for hypothesis generation.
virtual bool isSampleGood (const std::vector< int > &sample) const
 Check if a set of samples for model generation is degenerate.
std::shared_ptr< std::vector< int > > getIndices () const
 Get a pointer to the vector of indices used.
void drawIndexSample (std::vector< int > &sample)
 Sub-function for getting samples for hypothesis generation.
virtual void getDistancesToModel (const model_t &model_coefficients, std::vector< double > &distances)
 Compute the distances of all samples which respect to given model coefficients.
virtual void selectWithinDistance (const model_t &model_coefficients, const double threshold, std::vector< int > &inliers)
 Select all the inlier samples whith respect to given model coefficients.
virtual int countWithinDistance (const model_t &model_coefficients, const double threshold)
 Count all the inlier samples whith respect to given model coefficients.
void setIndices (const std::vector< int > &indices)
 Set the indices_ variable (see member-description).
void setUniformIndices (int N)
 Use this method if you want to use all samples.
int rnd ()
 Get a random number.

Protected Attributes

adapter_t_adapter
size_t _sampleSize

Additional Inherited Members

Public Attributes inherited from opengv::sac::SampleConsensusProblem< eigensolverOutput_t >
int max_sample_checks_
std::shared_ptr< std::vector< int > > indices_
std::vector< int > shuffled_indices_
std::mt19937 rng_alg_
 std-based random number generator algorithm.
std::shared_ptr< std::uniform_int_distribution<> > rng_dist_
 std-based random number generator distribution.
std::shared_ptr< std::function< int()> > rng_gen_
 std-based random number generator.

Detailed Description

Functions for fitting a relative-pose model to a set of bearing-vector correspondences, using the eigensolver algorithm [11]. Used with a random sample paradigm for rejecting outlier correspondences.

Member Typedef Documentation

◆ adapter_t

◆ model_t

The model we are trying to fit (eigensolverOutput)

Constructor & Destructor Documentation

◆ EigensolverSacProblem() [1/2]

opengv::sac_problems::relative_pose::EigensolverSacProblem::EigensolverSacProblem ( adapter_t & adapter,
size_t sampleSize,
bool randomSeed = true )
inline

Constructor.

Parameters
[in]adapterVisitor holding bearing vector correspondences etc.
[in]sampleSizeNumber of correspondences used for generating hypotheses.
[in]randomSeedWhether to seed the random number generator with the current time.

◆ EigensolverSacProblem() [2/2]

opengv::sac_problems::relative_pose::EigensolverSacProblem::EigensolverSacProblem ( adapter_t & adapter,
size_t sampleSize,
const std::vector< int > & indices,
bool randomSeed = true )
inline

Constructor.

Parameters
[in]adapterVisitor holding bearing vector correspondences etc.
[in]sampleSizeNumber of correspondences used for generating hypotheses.
[in]indicesA vector of indices to be used from all available correspondences.
[in]randomSeedWhether to seed the random number generator with the current time.

◆ ~EigensolverSacProblem()

virtual opengv::sac_problems::relative_pose::EigensolverSacProblem::~EigensolverSacProblem ( )
inlinevirtual

Destructor.

Member Function Documentation

◆ computeModelCoefficients()

virtual bool opengv::sac_problems::relative_pose::EigensolverSacProblem::computeModelCoefficients ( const std::vector< int > & indices,
model_t & outModel ) const
virtual

◆ getSampleSize()

virtual int opengv::sac_problems::relative_pose::EigensolverSacProblem::getSampleSize ( ) const
virtual

◆ getSelectedDistancesToModel()

virtual void opengv::sac_problems::relative_pose::EigensolverSacProblem::getSelectedDistancesToModel ( const model_t & model,
const std::vector< int > & indices,
std::vector< double > & scores ) const
virtual

◆ optimizeModelCoefficients()

virtual void opengv::sac_problems::relative_pose::EigensolverSacProblem::optimizeModelCoefficients ( const std::vector< int > & inliers,
const model_t & model,
model_t & optimized_model )
virtual

Member Data Documentation

◆ _adapter

adapter_t& opengv::sac_problems::relative_pose::EigensolverSacProblem::_adapter
protected

The adapter holding all input data.

◆ _sampleSize

size_t opengv::sac_problems::relative_pose::EigensolverSacProblem::_sampleSize
protected

The number of samples we are using for generating a hypothesis.


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