SampleConsensus Namespace Reference

Classes
class	AtEstimator
class	AtSampleConsensus
	Perform a sample consensus on a cloud of AtHits. More...

Enumerations
enum	Estimators {   Estimators::kRANSAC, Estimators::kLMedS, Estimators::kMLESAC, Estimators::kWRANSAC,   Estimators::kChi2, Estimators::kYRANSAC }
	Estimators for AtSampleConsensus. More...

Functions
int	EvaluateRansac (AtPatterns::AtPattern *model, const std::vector< const AtHit * > &hitArray, double distanceThreshold)
	Implementation of RANSAC estimator. More...
int	EvaluateYRansac (AtPatterns::AtPattern *model, const std::vector< const AtHit * > &hitArray, double distanceThreshold)
	Implementation of RANSAC estimator ignoring beam component of y. More...
int	EvaluateChi2 (AtPatterns::AtPattern *model, const std::vector< const AtHit * > &hitArray, double distanceThreshold)
	Implementation of estimator that minimizes chi2. More...
int	EvaluateMlesac (AtPatterns::AtPattern *model, const std::vector< const AtHit * > &hitArray, double distanceThreshold)
	Implementation of MLESAC estimator. More...
int	EvaluateLmeds (AtPatterns::AtPattern *model, const std::vector< const AtHit * > &hitArray, double distanceThreshold)
	Implementation of LMedS estimator. More...
int	EvaluateWeightedRansac (AtPatterns::AtPattern *model, const std::vector< const AtHit * > &hitArray, double distanceThreshold)
	Implementation of RANSAC estimator using charge weighting. More...

Function Documentation

EvaluateChi2()

int SampleConsensus::EvaluateChi2	(	AtPatterns::AtPattern *	model,
		const std::vector< const AtHit * > &	hitArray,
		double	distanceThreshold
	)

Implementation of estimator that minimizes chi2.

Used to minimize avg(error^2) for all inliers.

Definition at line 13 of file AtEstimatorMethods.cxx.

EvaluateLmeds()

int SampleConsensus::EvaluateLmeds	(	AtPatterns::AtPattern *	model,
		const std::vector< const AtHit * > &	hitArray,
		double	distanceThreshold
	)

Implementation of LMedS estimator.

Definition at line 126 of file AtEstimatorMethods.cxx.

EvaluateMlesac()

int SampleConsensus::EvaluateMlesac	(	AtPatterns::AtPattern *	model,
		const std::vector< const AtHit * > &	hitArray,
		double	distanceThreshold
	)

Implementation of MLESAC estimator.

Definition at line 68 of file AtEstimatorMethods.cxx.

EvaluateRansac()

int SampleConsensus::EvaluateRansac	(	AtPatterns::AtPattern *	model,
		const std::vector< const AtHit * > &	hitArray,
		double	distanceThreshold
	)

Implementation of RANSAC estimator.

Maximizes the number of inliers.

Definition at line 31 of file AtEstimatorMethods.cxx.

EvaluateWeightedRansac()

int SampleConsensus::EvaluateWeightedRansac	(	AtPatterns::AtPattern *	model,
		const std::vector< const AtHit * > &	hitArray,
		double	distanceThreshold
	)

Implementation of RANSAC estimator using charge weighting.

Definition at line 142 of file AtEstimatorMethods.cxx.

EvaluateYRansac()

int SampleConsensus::EvaluateYRansac	(	AtPatterns::AtPattern *	model,
		const std::vector< const AtHit * > &	hitArray,
		double	distanceThreshold
	)

Implementation of RANSAC estimator ignoring beam component of y.

Maximizes the number of inliers on the non-beam rays of the Y pattern.

Definition at line 47 of file AtEstimatorMethods.cxx.