Package com.irurueta.numerical.polynomials.estimators

Class MSACPolynomialRobustEstimator

java.lang.Object

com.irurueta.numerical.polynomials.estimators.PolynomialRobustEstimator

com.irurueta.numerical.polynomials.estimators.MSACPolynomialRobustEstimator

public class MSACPolynomialRobustEstimator
extends PolynomialRobustEstimator

Finds the best polynomial using RANSAC algorithm.

Field Summary

Fields

Modifier and Type	Field	Description
static final double	DEFAULT_THRESHOLD	Constant defining default threshold to determine whether polynomials are inliers or not.
static final double	MIN_THRESHOLD	Minimum value that can be set as threshold.
private double	threshold	Threshold to determine whether polynomial evaluations are inliers or not when testing possible estimation solutions

Fields inherited from class com.irurueta.numerical.polynomials.estimators.PolynomialRobustEstimator

confidence, DEFAULT_CONFIDENCE, DEFAULT_MAX_ITERATIONS, DEFAULT_PROGRESS_DELTA, DEFAULT_ROBUST_METHOD, DEFAULT_USE_GEOMETRIC_DISTANCE, evaluations, listener, locked, MAX_CONFIDENCE, MAX_PROGRESS_DELTA, maxIterations, MIN_CONFIDENCE, MIN_ITERATIONS, MIN_PROGRESS_DELTA, polynomialEstimator, progressDelta, useGeometricDistance

Constructor Summary

Constructors

Constructor	Description
MSACPolynomialRobustEstimator()	Constructor.
MSACPolynomialRobustEstimator(int degree)	Constructor.
MSACPolynomialRobustEstimator(int degree, PolynomialRobustEstimatorListener listener)	Constructor.
MSACPolynomialRobustEstimator(int degree, List<PolynomialEvaluation> evaluations)	Constructor.
MSACPolynomialRobustEstimator(int degree, List<PolynomialEvaluation> evaluations, PolynomialRobustEstimatorListener listener)	Constructor.
MSACPolynomialRobustEstimator(PolynomialRobustEstimatorListener listener)	Constructor.
MSACPolynomialRobustEstimator(List<PolynomialEvaluation> evaluations)	Constructor.
MSACPolynomialRobustEstimator(List<PolynomialEvaluation> evaluations, PolynomialRobustEstimatorListener listener)	Constructor.

Method Summary

Modifier and Type	Method	Description
Polynomial	estimate()	Estimates polynomial.
RobustEstimatorMethod	getMethod()	Returns method being used for robust estimation.
double	getThreshold()	Returns threshold to determine whether polynomials are inliers or not when testing possible estimation solutions.
void	setThreshold(double threshold)	Sets threshold to determine whether polynomials are inliers or not when testing possible estimation solutions.

Methods inherited from class com.irurueta.numerical.polynomials.estimators.PolynomialRobustEstimator

create, create, create, create, create, create, create, create, create, create, create, create, create, create, create, create, getAlgebraicDistance, getAlgebraicDistance, getAlgebraicDistance, getAlgebraicDistance, getAlgebraicDistance, getConfidence, getDegree, getDistance, getEvaluations, getGeometricDistance, getGeometricOrAlgebraicDistance, getListener, getMaxIterations, getMinNumberOfEvaluations, getProgressDelta, getQualityScores, isGeometricDistanceUsed, isLocked, isReady, setConfidence, setDegree, setEvaluations, setGeometricDistanceUsed, setListener, setMaxIterations, setProgressDelta, setQualityScores

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Details

DEFAULT_THRESHOLD

public static final double DEFAULT_THRESHOLD

Constant defining default threshold to determine whether polynomials are inliers or not. Threshold will be used to compare either algebraic or geometric distance of estimated polynomial respect each provided evaluation.

See Also:

• Constant Field Values

MIN_THRESHOLD

public static final double MIN_THRESHOLD

Minimum value that can be set as threshold. Threshold must be strictly greater than 0.0.

See Also:

• Constant Field Values

threshold

private double threshold

Threshold to determine whether polynomial evaluations are inliers or not when testing possible estimation solutions

Constructor Details

MSACPolynomialRobustEstimator

public MSACPolynomialRobustEstimator()

Constructor.

MSACPolynomialRobustEstimator

public MSACPolynomialRobustEstimator(int degree)

Constructor.

Parameters:

degree - degree of polynomial to be estimated.

Throws:

IllegalArgumentException - if provided degree is less than 1.

MSACPolynomialRobustEstimator

public MSACPolynomialRobustEstimator(List<PolynomialEvaluation> evaluations)

Constructor.

Parameters:

evaluations - collection of polynomial evaluations.

Throws:

IllegalArgumentException - if provided number of evaluations is less than the required minimum.

MSACPolynomialRobustEstimator

public MSACPolynomialRobustEstimator(PolynomialRobustEstimatorListener listener)

Constructor.

Parameters:

listener - listener to be notified of events such as when estimation starts, ends or its progress significantly changes.

MSACPolynomialRobustEstimator

public MSACPolynomialRobustEstimator(int degree,
 List<PolynomialEvaluation> evaluations)

Constructor.

Parameters:

degree - degree of polynomial to be estimated.

evaluations - collection of polynomial evaluations.

Throws:

IllegalArgumentException - if provided degree is less than 1 or if provided number of evaluations is less than the required minimum for provided degree.

MSACPolynomialRobustEstimator

public MSACPolynomialRobustEstimator(int degree,
 PolynomialRobustEstimatorListener listener)

Constructor.

Parameters:

degree - degree of polynomial to be estimated.

listener - listener to be notified of events such as when estimation starts, ends or its progress significantly changes.

Throws:

IllegalArgumentException - if provided degree is less than 1.

MSACPolynomialRobustEstimator

public MSACPolynomialRobustEstimator(List<PolynomialEvaluation> evaluations,
 PolynomialRobustEstimatorListener listener)

Constructor.

Parameters:

evaluations - collection of polynomial evaluations.

listener - listener to be notified of events such as when estimation starts, ends or its progress significantly changes.

Throws:

IllegalArgumentException - if provided number of evaluations is less than the required minimum.

MSACPolynomialRobustEstimator

public MSACPolynomialRobustEstimator(int degree,
 List<PolynomialEvaluation> evaluations,
 PolynomialRobustEstimatorListener listener)

Constructor.

Parameters:

degree - degree of polynomial to be estimated.

evaluations - collection of polynomial evaluations.

listener - listener to be notified of events such as when estimation starts, ends or its progress significantly changes.

Throws:

IllegalArgumentException - if provided degree is less than 1 or if provided number of evaluations is less than the required minimum for provided degree.

Method Details

getThreshold

public double getThreshold()

Returns threshold to determine whether polynomials are inliers or not when testing possible estimation solutions.

Returns:

threshold to determine whether polynomials are inliers or not when testing possible estimation solutions.

setThreshold

public void setThreshold(double threshold)
                  throws LockedException

Sets threshold to determine whether polynomials are inliers or not when testing possible estimation solutions.

Parameters:

threshold - threshold to determine whether polynomials are inliers or not when testing possible estimation solutions.

Throws:

IllegalArgumentException - if provided value is equal or less than zero.

LockedException - if robust estimator is locked.

estimate

public Polynomial estimate()
                    throws LockedException,
NotReadyException,
RobustEstimatorException

Estimates polynomial.

Specified by:

estimate in class PolynomialRobustEstimator

Returns:

estimated polynomial.

Throws:

LockedException - if robust estimator is locked because an estimation is already in progress.

NotReadyException - if provided input data is not enough to start the estimation.

RobustEstimatorException - if estimation fails for any other reason (i.e. numerical instability, no solution available, etc).

getMethod

public RobustEstimatorMethod getMethod()

Returns method being used for robust estimation.

Specified by:

getMethod in class PolynomialRobustEstimator

Returns:

method being used for robust estimation.