Package com.irurueta.geometry.estimators

Class MSACPoint2DRobustEstimator

java.lang.Object

com.irurueta.geometry.estimators.Point2DRobustEstimator

com.irurueta.geometry.estimators.MSACPoint2DRobustEstimator

public class MSACPoint2DRobustEstimator
extends Point2DRobustEstimator

Finds the best 2D point for provided collection of 2D lines using MSAC algorithm.

Field Summary

Fields

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

Fields inherited from class com.irurueta.geometry.estimators.Point2DRobustEstimator

confidence, DEFAULT_CONFIDENCE, DEFAULT_KEEP_COVARIANCE, DEFAULT_MAX_ITERATIONS, DEFAULT_PROGRESS_DELTA, DEFAULT_REFINE_RESULT, DEFAULT_ROBUST_METHOD, inliersData, lines, listener, locked, MAX_CONFIDENCE, MAX_PROGRESS_DELTA, maxIterations, MIN_CONFIDENCE, MIN_ITERATIONS, MIN_PROGRESS_DELTA, MINIMUM_SIZE, progressDelta, refineResult

Constructor Summary

Constructors

Constructor	Description
MSACPoint2DRobustEstimator()	Constructor.
MSACPoint2DRobustEstimator(Point2DRobustEstimatorListener listener)	Constructor.
MSACPoint2DRobustEstimator(Point2DRobustEstimatorListener listener, List<Line2D> lines)	Constructor.
MSACPoint2DRobustEstimator(List<Line2D> lines)	Constructor with lines.

Method Summary

Modifier and Type	Method	Description
Point2D	estimate()	Estimates a 2D point using a robust estimator and the best set of 2D lines that intersect into the estimated 2D point.
com.irurueta.numerical.robust.RobustEstimatorMethod	getMethod()	Returns method being used for robust estimation.
protected double	getRefinementStandardDeviation()	Gets standard deviation used for Levenberg-Marquardt fitting during refinement.
double	getThreshold()	Returns threshold to determine whether lines are inliers or not when testing possible estimation solutions.
void	setThreshold(double threshold)	Sets threshold to determine whether lines are inliers or not when testing possible estimation solutions.

Methods inherited from class com.irurueta.geometry.estimators.Point2DRobustEstimator

attemptRefine, create, create, create, create, create, create, create, create, create, create, create, create, create, create, create, create, getConfidence, getCovariance, getInliersData, getLines, getListener, getMaxIterations, getProgressDelta, getQualityScores, getRefinementCoordinatesType, isCovarianceKept, isListenerAvailable, isLocked, isReady, isResultRefined, residual, setConfidence, setCovarianceKept, setLines, setListener, setMaxIterations, setProgressDelta, setQualityScores, setRefinementCoordinatesType, setResultRefined

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 points are inliers or not. Because typical resolution for points is 1 pixel, then default threshold is defined as 1.

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 lines are inliers or not when testing possible estimation solutions. The threshold refers to the amount of error (i.e. distance) a possible solution has on a sampled line.

Constructor Details

MSACPoint2DRobustEstimator

public MSACPoint2DRobustEstimator()

Constructor.

MSACPoint2DRobustEstimator

public MSACPoint2DRobustEstimator(List<Line2D> lines)

Constructor with lines.

Parameters:

lines - 2D lines to estimate a 2D point.

Throws:

IllegalArgumentException - if provided list of lines don't have a size greater or equal than MINIMUM_SIZE.

MSACPoint2DRobustEstimator

public MSACPoint2DRobustEstimator(Point2DRobustEstimatorListener listener)

Constructor.

Parameters:

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

MSACPoint2DRobustEstimator

public MSACPoint2DRobustEstimator(Point2DRobustEstimatorListener listener,
 List<Line2D> lines)

Constructor.

Parameters:

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

lines - 2D lines to estimate a 2D point.

Throws:

IllegalArgumentException - if provided list of lines don't have a size greater or equal than MINIMUM_SIZE.

Method Details

getThreshold

public double getThreshold()

Returns threshold to determine whether lines are inliers or not when testing possible estimation solutions. The threshold refers to the amount of error a possible solution has on a given line.

Returns:

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

setThreshold

public void setThreshold(double threshold)
                  throws LockedException

Sets threshold to determine whether lines are inliers or not when testing possible estimation solutions. The threshold refers to the amount of error a possible solution has on a given line.

Parameters:

threshold - threshold to be set.

Throws:

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

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

estimate

public Point2D estimate()
                 throws LockedException,
NotReadyException,
com.irurueta.numerical.robust.RobustEstimatorException

Estimates a 2D point using a robust estimator and the best set of 2D lines that intersect into the estimated 2D point.

Specified by:

estimate in class Point2DRobustEstimator

Returns:

a 2D point.

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.

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

getMethod

public com.irurueta.numerical.robust.RobustEstimatorMethod getMethod()

Returns method being used for robust estimation.

Specified by:

getMethod in class Point2DRobustEstimator

Returns:

method being used for robust estimation.

getRefinementStandardDeviation

protected double getRefinementStandardDeviation()

Gets standard deviation used for Levenberg-Marquardt fitting during refinement. Returned value gives an indication of how much variance each residual has. Typically, this value is related to the threshold used on each robust estimation, since residuals of found inliers are within the range of such threshold.

Specified by:

getRefinementStandardDeviation in class Point2DRobustEstimator

Returns:

standard deviation used for refinement.