helper class for implementation of PreemptievRANSAC and COSAC for robust computation of the mean of a vector of doubles More...

#include <MathAlgo/Tests/MeanDoubleRANSACEvaluator.hh>

Inheritance diagram for BIAS::MeanDoubleRANSACEvaluator:

Collaboration diagram for BIAS::MeanDoubleRANSACEvaluator:

Public Member Functions
virtual bool	GenerateSamples (const unsigned sample_index, const unsigned sample_size, const unsigned data_size, std::vector< unsigned > &which_samples)
	randomly generates the indizes of the samples used for computation of the solution. More...

unsigned	GetMinNumSamplesForSolutionComputation () const
	Returns the minimum required samples for computation of a solution. More...

unsigned	GetNumMeasurements () const
	Returns the number of available measurements. More...

int	GetSampleSolutions (const std::vector< unsigned > &which_samples, std::vector< double > &solutions)
	Compute solution(s) for the given set of samples. More...

int	Init (const std::vector< double > &data, const double &sigma3)

bool	IsInlier (const double &solution, const unsigned data_index, double &score)
	Checks whether a certain sample (i.e. More...

	MeanDoubleRANSACEvaluator ()

bool	RefineSolution (const std::vector< bool > &inliers, double &solution)
	Refine a solution based on the inliers vector. More...

virtual	~MeanDoubleRANSACEvaluator ()

Protected Member Functions
bool	GenerateSamplesRandom_ (const unsigned sample_index, const unsigned sample_size, const unsigned data_size, std::vector< unsigned > &which_samples)
	purely random generation of sample indizes More...

Protected Attributes
std::vector< double >	Data_

double	Sigma3_

Detailed Description

helper class for implementation of PreemptievRANSAC and COSAC for robust computation of the mean of a vector of doubles

, TestPreemptiveRANSAC, RANSACEvaluatorInterface, COSAC, PreemptiveRANSAC

Author: woelk 01/2010 (c) www.vision-n.de

Definition at line 40 of file MeanDoubleRANSACEvaluator.hh.

Constructor & Destructor Documentation

BIAS::MeanDoubleRANSACEvaluator::MeanDoubleRANSACEvaluator ( )

Definition at line 75 of file MeanDoubleRANSACEvaluator.hh.

BIAS::MeanDoubleRANSACEvaluator::~MeanDoubleRANSACEvaluator ( )

virtual

Definition at line 104 of file MeanDoubleRANSACEvaluator.hh.

Member Function Documentation

virtual bool BIAS::RANSACEvaluatorInterface< double >::GenerateSamples	(	const unsigned	sample_index,
		const unsigned	sample_size,
		const unsigned	data_size,
		std::vector< unsigned > &	which_samples
	)

virtualinherited

randomly generates the indizes of the samples used for computation of the solution.

This function can be overloaded, for example when it is of advantage when the samples span a big area (for example in the image)

bool BIAS::RANSACEvaluatorInterface< double >::GenerateSamplesRandom_	(	const unsigned	sample_index,
		const unsigned	sample_size,
		const unsigned	data_size,
		std::vector< unsigned > &	which_samples
	)

protectedinherited

purely random generation of sample indizes

unsigned BIAS::MeanDoubleRANSACEvaluator::GetMinNumSamplesForSolutionComputation ( ) const

inlinevirtual

Returns the minimum required samples for computation of a solution.

Implements BIAS::RANSACEvaluatorInterface< double >.

Definition at line 52 of file MeanDoubleRANSACEvaluator.hh.

Referenced by GetSampleSolutions(), and Init().

unsigned BIAS::MeanDoubleRANSACEvaluator::GetNumMeasurements ( ) const

inlinevirtual

Returns the number of available measurements.

Implements BIAS::RANSACEvaluatorInterface< double >.

Definition at line 50 of file MeanDoubleRANSACEvaluator.hh.

References Data_.

int BIAS::MeanDoubleRANSACEvaluator::GetSampleSolutions	(	const std::vector< unsigned > &	which_samples,
		std::vector< double > &	solutions
	)

inlinevirtual

Compute solution(s) for the given set of samples.

Returns: the number of solutions found.

The which_samples array will be of length sample_size, selecting the indices to be fit to from the subclass's data array.

Implements BIAS::RANSACEvaluatorInterface< double >.

Definition at line 133 of file MeanDoubleRANSACEvaluator.hh.

References Data_, GetMinNumSamplesForSolutionComputation(), and IsInlier().

int BIAS::MeanDoubleRANSACEvaluator::Init	(	const std::vector< double > &	data,
		const double &	sigma3
	)

Definition at line 81 of file MeanDoubleRANSACEvaluator.hh.

References Data_, GetMinNumSamplesForSolutionComputation(), and Sigma3_.

bool BIAS::MeanDoubleRANSACEvaluator::IsInlier	(	const double &	solution,
		const unsigned	data_index,
		double &	score
	)

inlinevirtual

Checks whether a certain sample (i.e.

data) is an inlier and computes the associated score. Good solutions result in a small score, bad solutions result in big scores. Scores may also be negative. It is often a good idea do define the score as the logarithm of some normalized distance measure.

Implements BIAS::RANSACEvaluatorInterface< double >.

Definition at line 109 of file MeanDoubleRANSACEvaluator.hh.

References Data_, BIAS::Equal(), and Sigma3_.

Referenced by GetSampleSolutions().