43 #ifndef OPENGV_SAC_MULTISAMPLECONSENSUSPROBLEM_HPP_    44 #define OPENGV_SAC_MULTISAMPLECONSENSUSPROBLEM_HPP_    69 template<
typename MODEL_T>
    95       std::vector< std::vector<int> > &samples );
   104       const std::vector< std::vector<int> > & sample ) 
const;
   110   std::shared_ptr< std::vector< std::vector<int> > > 
getIndices() 
const;
   133       const std::vector< std::vector<int> > & indices,
   134       model_t & outModel) 
const = 0;
   144       const std::vector< std::vector<int> > & inliers,
   145       const model_t & model_coefficients,
   146       model_t & optimized_coefficients ) = 0;
   157       const model_t & model,
   158       const std::vector< std::vector<int> > & indices,
   159       std::vector< std::vector<double> > & scores ) 
const = 0;
   169       const model_t & model_coefficients,
   170       std::vector< std::vector<double> > &distances );
   181       const model_t &model_coefficients,
   182       const double threshold,
   183       std::vector< std::vector<int> > &inliers );
   194       const model_t &model_coefficients,
   195       const double threshold);
   201   void setIndices(
const std::vector< std::vector<int> > & indices);
   224   std::shared_ptr< std::vector< std::vector<int> > > 
indices_;
   233   std::shared_ptr< std::uniform_int_distribution<> > 
rng_dist_;
   243 #include "implementation/MultiSampleConsensusProblem.hpp" virtual void optimizeModelCoefficients(const std::vector< std::vector< int > > &inliers, const model_t &model_coefficients, model_t &optimized_coefficients)=0
Refine the model coefficients over a given set (inliers). Needs implementation in the child-class...
 
void setUniformIndices(std::vector< int > N)
Use this method if you want to use all samples. 
 
The namespace of this library. 
Definition: AbsoluteAdapterBase.hpp:47
 
virtual void getDistancesToModel(const model_t &model_coefficients, std::vector< std::vector< double > > &distances)
Compute the distances of all samples which respect to given model coefficients. 
 
std::shared_ptr< std::function< int()> > rng_gen_
std-based random number generator. 
Definition: MultiSampleConsensusProblem.hpp:236
 
std::mt19937 rng_alg_
std-based random number generator algorithm. 
Definition: MultiSampleConsensusProblem.hpp:230
 
std::shared_ptr< std::uniform_int_distribution<> > rng_dist_
std-based random number generator distribution. 
Definition: MultiSampleConsensusProblem.hpp:233
 
virtual std::vector< int > getSampleSizes() const  =0
Get the number of samples needed for a hypothesis generation. Needs implementation in the child class...
 
std::shared_ptr< std::vector< std::vector< int > > > indices_
Definition: MultiSampleConsensusProblem.hpp:224
 
Definition: MultiSampleConsensusProblem.hpp:70
 
virtual int countWithinDistance(const model_t &model_coefficients, const double threshold)
Count all the inlier samples whith respect to given model coefficients. 
 
virtual ~MultiSampleConsensusProblem()
Destructor. 
 
virtual bool isSampleGood(const std::vector< std::vector< int > > &sample) const 
Check if a set of samples for model generation is degenerate. 
 
virtual bool computeModelCoefficients(const std::vector< std::vector< int > > &indices, model_t &outModel) const  =0
Compute a model from a set of samples. Needs implementation in the child-class. 
 
virtual void getSelectedDistancesToModel(const model_t &model, const std::vector< std::vector< int > > &indices, std::vector< std::vector< double > > &scores) const  =0
Compute the distances of all samples whith respect to given model coefficients. Needs implementation ...
 
int rnd()
Get a random number. 
 
MODEL_T model_t
Definition: MultiSampleConsensusProblem.hpp:74
 
virtual void getSamples(int &iterations, std::vector< std::vector< int > > &samples)
Get samples for hypothesis generation. 
 
MultiSampleConsensusProblem(bool randomSeed=true)
Contructor. 
 
std::shared_ptr< std::vector< std::vector< int > > > getIndices() const 
Get a pointer to the vector of multi-indices used. 
 
virtual void selectWithinDistance(const model_t &model_coefficients, const double threshold, std::vector< std::vector< int > > &inliers)
Select all the inlier samples whith respect to given model coefficients. 
 
int max_sample_checks_
Definition: MultiSampleConsensusProblem.hpp:218
 
void setIndices(const std::vector< std::vector< int > > &indices)
Set the indices_ variable (see member-description). 
 
std::vector< std::vector< int > > shuffled_indices_
Definition: MultiSampleConsensusProblem.hpp:227
 
void drawIndexSample(std::vector< std::vector< int > > &sample)
Sub-function for getting samples for hypothesis generation.