Package com.irurueta.geometry.estimators

Class PointCorrespondenceAffineTransformation2DRobustEstimator

java.lang.Object

com.irurueta.geometry.estimators.AffineTransformation2DRobustEstimator

com.irurueta.geometry.estimators.PointCorrespondenceAffineTransformation2DRobustEstimator

Direct Known Subclasses:

LMedSPointCorrespondenceAffineTransformation2DRobustEstimator, MSACPointCorrespondenceAffineTransformation2DRobustEstimator, PROMedSPointCorrespondenceAffineTransformation2DRobustEstimator, PROSACPointCorrespondenceAffineTransformation2DRobustEstimator, RANSACPointCorrespondenceAffineTransformation2DRobustEstimator

public abstract class PointCorrespondenceAffineTransformation2DRobustEstimator
extends AffineTransformation2DRobustEstimator

This is an abstract class for algorithms to robustly find the best affine 2D transformation for collections of matching 2D points. Implementations of this class should be able to detect and discard outliers in order to find the best solution.

Field Summary

Fields

Modifier and Type	Field	Description
static final com.irurueta.numerical.robust.RobustEstimatorMethod	DEFAULT_ROBUST_METHOD	Default robust estimator method when none is provided.
protected List<Point2D>	inputPoints	List of points to be used to estimate an affine 2D transformation.
protected List<Point2D>	outputPoints	List of points to be used to estimate an affine 2D transformation.

Fields inherited from class com.irurueta.geometry.estimators.AffineTransformation2DRobustEstimator

confidence, covariance, DEFAULT_CONFIDENCE, DEFAULT_KEEP_COVARIANCE, DEFAULT_MAX_ITERATIONS, DEFAULT_PROGRESS_DELTA, DEFAULT_REFINE_RESULT, inliersData, keepCovariance, locked, MAX_CONFIDENCE, MAX_PROGRESS_DELTA, maxIterations, MIN_CONFIDENCE, MIN_ITERATIONS, MIN_PROGRESS_DELTA, MINIMUM_SIZE, mListener, progressDelta, refineResult

Constructor Summary

Constructors

Modifier	Constructor	Description
protected	PointCorrespondenceAffineTransformation2DRobustEstimator()	Constructor.
protected	PointCorrespondenceAffineTransformation2DRobustEstimator(AffineTransformation2DRobustEstimatorListener listener)	Constructor.
protected	PointCorrespondenceAffineTransformation2DRobustEstimator(AffineTransformation2DRobustEstimatorListener listener, List<Point2D> inputPoints, List<Point2D> outputPoints)	Constructor with listener and lists of points to be used to estimate an affine 2D transformation.
protected	PointCorrespondenceAffineTransformation2DRobustEstimator(List<Point2D> inputPoints, List<Point2D> outputPoints)	Constructor with lists of points to be used to estimate an affine 2D transformation.

Method Summary

Modifier and Type	Method	Description
protected AffineTransformation2D	attemptRefine(AffineTransformation2D transformation)	Attempts to refine provided solution if refinement is requested.
static PointCorrespondenceAffineTransformation2DRobustEstimator	create()	Creates an affine 2D transformation estimator based on 2D point correspondences and using default robust estimator method.
static PointCorrespondenceAffineTransformation2DRobustEstimator	create(double[] qualityScores)	Creates an affine 2D transformation estimator based on 2D point correspondences and using default robust estimator method.
static PointCorrespondenceAffineTransformation2DRobustEstimator	create(double[] qualityScores, com.irurueta.numerical.robust.RobustEstimatorMethod method)	Creates an affine 2D transformation estimator based on 2D point correspondences and using provided robust estimator method.
static PointCorrespondenceAffineTransformation2DRobustEstimator	create(AffineTransformation2DRobustEstimatorListener listener)	Creates an affine 2D transformation estimator based on 2D point correspondences and using default robust estimator method.
static PointCorrespondenceAffineTransformation2DRobustEstimator	create(AffineTransformation2DRobustEstimatorListener listener, double[] qualityScores)	Creates an affine 2D transformation estimator based on 2D point correspondences and using default robust estimator method.
static PointCorrespondenceAffineTransformation2DRobustEstimator	create(AffineTransformation2DRobustEstimatorListener listener, double[] qualityScores, com.irurueta.numerical.robust.RobustEstimatorMethod method)	Creates an affine 2D transformation estimator based on 2D point correspondences and using provided robust estimator method.
static PointCorrespondenceAffineTransformation2DRobustEstimator	create(AffineTransformation2DRobustEstimatorListener listener, com.irurueta.numerical.robust.RobustEstimatorMethod method)	Creates an affine 2D transformation estimator based on 2D point correspondences and using provided robust estimator method.
static PointCorrespondenceAffineTransformation2DRobustEstimator	create(AffineTransformation2DRobustEstimatorListener listener, List<Point2D> inputPoints, List<Point2D> outputPoints)	Creates an affine 2D transformation estimator based on 2D point correspondences and using default robust estimator method.
static PointCorrespondenceAffineTransformation2DRobustEstimator	create(AffineTransformation2DRobustEstimatorListener listener, List<Point2D> inputPoints, List<Point2D> outputPoints, double[] qualityScores)	Creates an affine 2D transformation estimator based on 2D point correspondences and using default robust estimator method.
static PointCorrespondenceAffineTransformation2DRobustEstimator	create(AffineTransformation2DRobustEstimatorListener listener, List<Point2D> inputPoints, List<Point2D> outputPoints, double[] qualityScores, com.irurueta.numerical.robust.RobustEstimatorMethod method)	Creates an affine 2D transformation estimator based on 2D point correspondences and using provided robust estimator method.
static PointCorrespondenceAffineTransformation2DRobustEstimator	create(AffineTransformation2DRobustEstimatorListener listener, List<Point2D> inputPoints, List<Point2D> outputPoints, com.irurueta.numerical.robust.RobustEstimatorMethod method)	Creates an affine 2D transformation estimator based on 2D point correspondences and using provided robust estimator method.
static PointCorrespondenceAffineTransformation2DRobustEstimator	create(com.irurueta.numerical.robust.RobustEstimatorMethod method)	Creates an affine 2D transformation estimator based on 2D point correspondences and using provided robust estimator method.
static PointCorrespondenceAffineTransformation2DRobustEstimator	create(List<Point2D> inputPoints, List<Point2D> outputPoints)	Creates an affine 2D transformation estimator based on 2D point correspondences and using default robust estimator method.
static PointCorrespondenceAffineTransformation2DRobustEstimator	create(List<Point2D> inputPoints, List<Point2D> outputPoints, double[] qualityScores)	Creates an affine 2D transformation estimator based on 2D point correspondences and using default robust estimator method.
static PointCorrespondenceAffineTransformation2DRobustEstimator	create(List<Point2D> inputPoints, List<Point2D> outputPoints, double[] qualityScores, com.irurueta.numerical.robust.RobustEstimatorMethod method)	Creates an affine 2D transformation estimator based on 2D point correspondences and using provided robust estimator method.
static PointCorrespondenceAffineTransformation2DRobustEstimator	create(List<Point2D> inputPoints, List<Point2D> outputPoints, com.irurueta.numerical.robust.RobustEstimatorMethod method)	Creates an affine 2D transformation estimator based on 2D point correspondences and using provided robust estimator method.
List<Point2D>	getInputPoints()	Returns list of input points to be used to estimate an affine 2D transformation.
List<Point2D>	getOutputPoints()	Returns list of output points to be used to estimate an affine 2D transformation.
double[]	getQualityScores()	Returns quality scores corresponding to each pair of matched points.
private void	internalSetPoints(List<Point2D> inputPoints, List<Point2D> outputPoints)	Internal method to set lists of points to be used to estimate an affine 2D transformation.
boolean	isReady()	Indicates if estimator is ready to start the affine 2D transformation estimation.
final void	setPoints(List<Point2D> inputPoints, List<Point2D> outputPoints)	Sets lists of points to be used to estimate an affine 2D transformation.
void	setQualityScores(double[] qualityScores)	Sets quality scores corresponding to each pair of matched points.

Methods inherited from class com.irurueta.geometry.estimators.AffineTransformation2DRobustEstimator

createFromLines, createFromLines, createFromLines, createFromLines, createFromLines, createFromLines, createFromLines, createFromLines, createFromPoints, createFromPoints, createFromPoints, createFromPoints, createFromPoints, createFromPoints, createFromPoints, createFromPoints, estimate, getConfidence, getCovariance, getInliersData, getListener, getMaxIterations, getMethod, getProgressDelta, getRefinementStandardDeviation, isCovarianceKept, isListenerAvailable, isLocked, isResultRefined, setConfidence, setCovarianceKept, setListener, setMaxIterations, setProgressDelta, setResultRefined

Methods inherited from class java.lang.Object

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

Field Details

DEFAULT_ROBUST_METHOD

public static final com.irurueta.numerical.robust.RobustEstimatorMethod DEFAULT_ROBUST_METHOD

Default robust estimator method when none is provided.

inputPoints

protected List<Point2D> inputPoints

List of points to be used to estimate an affine 2D transformation. Each point in the list of input points must be matched with the corresponding point in the list of output points located at the same position. Hence, both input points and output points must have the same size, and their size must be greater or equal than MINIMUM_SIZE.

outputPoints

protected List<Point2D> outputPoints

List of points to be used to estimate an affine 2D transformation. Each point in the list of output points must be matched with the corresponding point in the list of input points located at the same position. Hence, both input points and output points must have the same size, and their size must be greater or equal than MINIMUM_SIZE.

Constructor Details

PointCorrespondenceAffineTransformation2DRobustEstimator

protected PointCorrespondenceAffineTransformation2DRobustEstimator()

Constructor.

PointCorrespondenceAffineTransformation2DRobustEstimator

protected PointCorrespondenceAffineTransformation2DRobustEstimator(List<Point2D> inputPoints,
 List<Point2D> outputPoints)

Constructor with lists of points to be used to estimate an affine 2D transformation. Points in the list located at the same position are considered to be matched. Hence, both lists must have the same size, and their size must be greater or equal than MINIMUM_SIZE.

Parameters:

inputPoints - list of input points to be used to estimate an affine 2D transformation.

outputPoints - list of output points to be used to estimate an affine 2D transformation.

Throws:

IllegalArgumentException - if provided lists of points don't have the same size or their size is smaller than MINIMUM_SIZE.

PointCorrespondenceAffineTransformation2DRobustEstimator

protected PointCorrespondenceAffineTransformation2DRobustEstimator(AffineTransformation2DRobustEstimatorListener listener)

Constructor.

Parameters:

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

PointCorrespondenceAffineTransformation2DRobustEstimator

protected PointCorrespondenceAffineTransformation2DRobustEstimator(AffineTransformation2DRobustEstimatorListener listener,
 List<Point2D> inputPoints,
 List<Point2D> outputPoints)

Constructor with listener and lists of points to be used to estimate an affine 2D transformation. Points in the list located at the same position are considered to be matched. Hence, both lists must have the same size, and their size must be greater or equal than MINIMUM_SIZE.

Parameters:

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

inputPoints - list of input points to be used to estimate an affine 2D transformation.

outputPoints - list of output points to be used to estimate an affine 2D transformation.

Throws:

IllegalArgumentException - if provided lists of points don't have the same size or their size is smaller than MINIMUM_SIZE.

Method Details

getInputPoints

public List<Point2D> getInputPoints()

Returns list of input points to be used to estimate an affine 2D transformation. Each point in the list of input points must be matched with the corresponding point in the list of output points located at the same position. Hence, both input points and output points must have the same size, and their size must be greater or equal than MINIMUM_SIZE.

Returns:

list of input points to be used to estimate an affine 2D transformation.

getOutputPoints

public List<Point2D> getOutputPoints()

Returns list of output points to be used to estimate an affine 2D transformation. Each point in the list of output points must be matched with the corresponding point in the list of input points located at the same position. Hence, both input points and output points must have the same size, and their size must be greater or equal than MINIMUM_SIZE.

Returns:

list of output points to be used to estimate an affine 2D transformation.

setPoints

public final void setPoints(List<Point2D> inputPoints,
 List<Point2D> outputPoints)
                     throws LockedException

Sets lists of points to be used to estimate an affine 2D transformation. Points in the list located at the same position are considered to be matched. Hence, both lists must have the same size, and their size must be greater or equal than MINIMUM_SIZE.

Parameters:

inputPoints - list of input points to be used to estimate an affine 2D transformation.

outputPoints - list of output points to be used to estimate an affine 2D transformation.

Throws:

IllegalArgumentException - if provided lists of points don't have the same size or their size is smaller than MINIMUM_SIZE.

LockedException - if estimator is locked because a computation is already in progress.

isReady

public boolean isReady()

Indicates if estimator is ready to start the affine 2D transformation estimation. This is true when input data (i.e. lists of matched points) are provided and a minimum of MINIMUM_SIZE points are available.

Returns:

true if estimator is ready, false otherwise.

getQualityScores

public double[] getQualityScores()

Returns quality scores corresponding to each pair of matched points. The larger the score value the better the quality of the matching. This implementation always returns null. Subclasses using quality scores must implement proper behaviour.

Returns:

quality scores corresponding to each pair of matched points.

setQualityScores

public void setQualityScores(double[] qualityScores)
                      throws LockedException

Sets quality scores corresponding to each pair of matched points. The larger the score value the better the quality of the matching. This implementation makes no action. Subclasses using quality scores must implement proper behaviour.

Parameters:

qualityScores - quality scores corresponding to each pair of matched points.

Throws:

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

IllegalArgumentException - if provided quality scores length is smaller than MINIMUM_SIZE (i.e. 3 samples).

create

public static PointCorrespondenceAffineTransformation2DRobustEstimator create(com.irurueta.numerical.robust.RobustEstimatorMethod method)

Creates an affine 2D transformation estimator based on 2D point correspondences and using provided robust estimator method.

Parameters:

method - method of a robust estimator algorithm to estimate the best affine 2D transformation.

Returns:

an instance of affine 2D transformation estimator.

create

public static PointCorrespondenceAffineTransformation2DRobustEstimator create(List<Point2D> inputPoints,
 List<Point2D> outputPoints,
 com.irurueta.numerical.robust.RobustEstimatorMethod method)

Creates an affine 2D transformation estimator based on 2D point correspondences and using provided robust estimator method.

Parameters:

inputPoints - list of input points to be used to estimate an affine 2D transformation.

outputPoints - list of output points to be used to estimate an affine 2D transformation.

method - method of a robust estimator algorithm to estimate the best affine 2D transformation.

Returns:

an instance of affine 2D transformation estimator.

Throws:

IllegalArgumentException - if provided lists of points don't have the same size or their size is smaller than MINIMUM_SIZE.

create

public static PointCorrespondenceAffineTransformation2DRobustEstimator create(AffineTransformation2DRobustEstimatorListener listener,
 com.irurueta.numerical.robust.RobustEstimatorMethod method)

Creates an affine 2D transformation estimator based on 2D point correspondences and using provided robust estimator method.

Parameters:

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

method - method of a robust estimator algorithm to estimate the best affine 2D transformation.

Returns:

an instance of affine 2D transformation estimator.

create

public static PointCorrespondenceAffineTransformation2DRobustEstimator create(AffineTransformation2DRobustEstimatorListener listener,
 List<Point2D> inputPoints,
 List<Point2D> outputPoints,
 com.irurueta.numerical.robust.RobustEstimatorMethod method)

Creates an affine 2D transformation estimator based on 2D point correspondences and using provided robust estimator method.

Parameters:

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

inputPoints - list of input points to be used to estimate an affine 2D transformation.

outputPoints - list of output points to be used to estimate an affine 2D transformation.

method - method of a robust estimator algorithm to estimate the best affine 2D transformation.

Returns:

an instance of affine 2D transformation estimator.

Throws:

IllegalArgumentException - if provided lists of points don't have the same size or their size is smaller than MINIMUM_SIZE.

create

public static PointCorrespondenceAffineTransformation2DRobustEstimator create(double[] qualityScores,
 com.irurueta.numerical.robust.RobustEstimatorMethod method)

Creates an affine 2D transformation estimator based on 2D point correspondences and using provided robust estimator method.

Parameters:

qualityScores - quality scores corresponding to each pair of matched points.

method - method of a robust estimator algorithm to estimate the best affine 2D transformation.

Returns:

an instance of affine 2D transformation estimator.

Throws:

IllegalArgumentException - if provided quality scores length is smaller than MINIMUM_SIZE (i.e. 3 matched points).

create

public static PointCorrespondenceAffineTransformation2DRobustEstimator create(List<Point2D> inputPoints,
 List<Point2D> outputPoints,
 double[] qualityScores,
 com.irurueta.numerical.robust.RobustEstimatorMethod method)

Creates an affine 2D transformation estimator based on 2D point correspondences and using provided robust estimator method.

Parameters:

inputPoints - list of input points to be used to estimate an affine 2D transformation.

outputPoints - list of output points to be used to estimate an affine 2D transformation.

qualityScores - quality scores corresponding to each pair of matched points.

method - method of a robust estimator algorithm to estimate the best affine 2D transformation.

Returns:

an instance of affine 2D transformation estimator.

Throws:

IllegalArgumentException - if provided lists of points or quality scores don't have the same size or their size is smaller than MINIMUM_SIZE.

create

public static PointCorrespondenceAffineTransformation2DRobustEstimator create(AffineTransformation2DRobustEstimatorListener listener,
 double[] qualityScores,
 com.irurueta.numerical.robust.RobustEstimatorMethod method)

Creates an affine 2D transformation estimator based on 2D point correspondences and using provided robust estimator method.

Parameters:

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

qualityScores - quality scores corresponding to each pair of matched points.

method - method of a robust estimator algorithm to estimate the best affine 2D transformation.

Returns:

an instance of affine 2D transformation estimator.

Throws:

IllegalArgumentException - if provided quality scores don't have the required minimum size.

create

public static PointCorrespondenceAffineTransformation2DRobustEstimator create(AffineTransformation2DRobustEstimatorListener listener,
 List<Point2D> inputPoints,
 List<Point2D> outputPoints,
 double[] qualityScores,
 com.irurueta.numerical.robust.RobustEstimatorMethod method)

Creates an affine 2D transformation estimator based on 2D point correspondences and using provided robust estimator method.

Parameters:

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

inputPoints - list of input points to be used to estimate an affine 2D transformation.

outputPoints - list of output points to be used to estimate an affine 2D transformation.

qualityScores - quality scores corresponding to each pair of matched points.

method - method of a robust estimator algorithm to estimate the best affine 2D transformation.

Returns:

an instance of affine 2D transformation estimator.

Throws:

IllegalArgumentException - if provided lists of points don't have the same size or their size is smaller than MINIMUM_SIZE.

create

public static PointCorrespondenceAffineTransformation2DRobustEstimator create()

Creates an affine 2D transformation estimator based on 2D point correspondences and using default robust estimator method.

Returns:

an instance of affine 2D transformation estimator.

create

public static PointCorrespondenceAffineTransformation2DRobustEstimator create(List<Point2D> inputPoints,
 List<Point2D> outputPoints)

Creates an affine 2D transformation estimator based on 2D point correspondences and using default robust estimator method.

Parameters:

inputPoints - list of input points to be used to estimate an affine 2D transformation.

outputPoints - list of output points to be used to estimate an affine 2D transformation.

Returns:

an instance of affine 2D transformation estimator.

Throws:

IllegalArgumentException - if provided lists of points don't have the same size or their size is smaller than MINIMUM_SIZE.

create

public static PointCorrespondenceAffineTransformation2DRobustEstimator create(AffineTransformation2DRobustEstimatorListener listener)

Creates an affine 2D transformation estimator based on 2D point correspondences and using default robust estimator method.

Parameters:

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

Returns:

an instance of affine 2D transformation estimator.

create

public static PointCorrespondenceAffineTransformation2DRobustEstimator create(AffineTransformation2DRobustEstimatorListener listener,
 List<Point2D> inputPoints,
 List<Point2D> outputPoints)

Creates an affine 2D transformation estimator based on 2D point correspondences and using default robust estimator method.

Parameters:

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

inputPoints - list of input points to be used to estimate an affine 2D transformation.

outputPoints - list of output points to be used to estimate an affine 2D transformation.

Returns:

an instance of affine 2D transformation estimator.

Throws:

IllegalArgumentException - if provided lists of points don't have the same size or their size is smaller than MINIMUM_SIZE.

create

public static PointCorrespondenceAffineTransformation2DRobustEstimator create(double[] qualityScores)

Creates an affine 2D transformation estimator based on 2D point correspondences and using default robust estimator method.

Parameters:

qualityScores - quality scores corresponding to each pair of matched points.

Returns:

an instance of affine 2D transformation estimator.

create

public static PointCorrespondenceAffineTransformation2DRobustEstimator create(List<Point2D> inputPoints,
 List<Point2D> outputPoints,
 double[] qualityScores)

Creates an affine 2D transformation estimator based on 2D point correspondences and using default robust estimator method.

Parameters:

inputPoints - list of input points to be used to estimate an affine 2D transformation.

outputPoints - list of output points to be used to estimate an affine 2D transformation.

qualityScores - quality scores corresponding to each pair of matched points.

Returns:

an instance of affine 2D transformation estimator.

Throws:

IllegalArgumentException - if provided lists of points don't have the same size or their size is smaller than MINIMUM_SIZE.

create

public static PointCorrespondenceAffineTransformation2DRobustEstimator create(AffineTransformation2DRobustEstimatorListener listener,
 double[] qualityScores)

Creates an affine 2D transformation estimator based on 2D point correspondences and using default robust estimator method.

Parameters:

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

qualityScores - quality scores corresponding to each pair of matched points.

Returns:

an instance of affine 2D transformation estimator.

create

public static PointCorrespondenceAffineTransformation2DRobustEstimator create(AffineTransformation2DRobustEstimatorListener listener,
 List<Point2D> inputPoints,
 List<Point2D> outputPoints,
 double[] qualityScores)

Creates an affine 2D transformation estimator based on 2D point correspondences and using default robust estimator method.

Parameters:

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

inputPoints - list of input points to be used to estimate an affine 2D transformation.

outputPoints - list of output points to be used to estimate an affine 2D transformation.

qualityScores - quality scores corresponding to each pair of matched points.

Returns:

an instance of affine 2D transformation estimator.

Throws:

IllegalArgumentException - if provided lists of points don't have the same size or their size is smaller than MINIMUM_SIZE.

attemptRefine

protected AffineTransformation2D attemptRefine(AffineTransformation2D transformation)

Attempts to refine provided solution if refinement is requested. This method returns a refined solution of the same provided solution if refinement is not requested or has failed. If refinement is enabled, and it is requested to keep covariance, this method will also keep covariance of refined transformation.

Parameters:

transformation - transformation estimated by a robust estimator without refinement.

Returns:

solution after refinement (if requested) or the provided non-refined solution if not requested or refinement failed.

internalSetPoints

private void internalSetPoints(List<Point2D> inputPoints,
 List<Point2D> outputPoints)

Internal method to set lists of points to be used to estimate an affine 2D transformation. This method does not check whether estimator is locked or not.

Parameters:

inputPoints - list of input points to be used to estimate an affine 2D transformation.

outputPoints - list of output points to be used to estimate an affine 2D transformation.

Throws:

IllegalArgumentException - if provided lists of points don't have the same size or their size is smaller than MINIMUM_SIZE.