Package com.irurueta.geometry.estimators
Class RANSACCircleRobustEstimator
java.lang.Object
com.irurueta.geometry.estimators.CircleRobustEstimator
com.irurueta.geometry.estimators.RANSACCircleRobustEstimator
Finds the best circle for provided collection of 2D points using RANSAC
algorithm.
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Field Summary
FieldsModifier and TypeFieldDescriptionstatic final doubleConstant defining default threshold to determine whether points are inliers or not.static final doubleMinimum value that can be set as threshold.private doubleThreshold to determine whether points are inliers or not when testing possible estimation solutions.Fields inherited from class com.irurueta.geometry.estimators.CircleRobustEstimator
confidence, DEFAULT_CONFIDENCE, DEFAULT_MAX_ITERATIONS, DEFAULT_PROGRESS_DELTA, DEFAULT_ROBUST_METHOD, listener, locked, MAX_CONFIDENCE, MAX_PROGRESS_DELTA, maxIterations, MIN_CONFIDENCE, MIN_ITERATIONS, MIN_PROGRESS_DELTA, MINIMUM_SIZE, points, progressDelta -
Constructor Summary
ConstructorsConstructorDescriptionConstructor.Constructor.RANSACCircleRobustEstimator(CircleRobustEstimatorListener listener, List<Point2D> points) Constructor.RANSACCircleRobustEstimator(List<Point2D> points) Constructor with points. -
Method Summary
Modifier and TypeMethodDescriptionestimate()Estimates a circle using a robust estimator and the best set of 2D points that fit into the locus of the estimated circle found using the robust estimator.com.irurueta.numerical.robust.RobustEstimatorMethodReturns method being used for robust estimation.doubleReturns threshold to determine whether points are inliers or not when testing possible estimation solutions.voidsetThreshold(double threshold) Sets threshold to determine whether points are inliers or not when testing possible estimation solutions.Methods inherited from class com.irurueta.geometry.estimators.CircleRobustEstimator
create, create, create, create, create, create, create, create, create, create, create, create, create, create, create, create, getConfidence, getListener, getMaxIterations, getPoints, getProgressDelta, getQualityScores, isListenerAvailable, isLocked, isReady, residual, setConfidence, setListener, setMaxIterations, setPoints, setProgressDelta, setQualityScores
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Field Details
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DEFAULT_THRESHOLD
public static final double DEFAULT_THRESHOLDConstant 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:
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MIN_THRESHOLD
public static final double MIN_THRESHOLDMinimum value that can be set as threshold. Threshold must be strictly greater than 0.0.- See Also:
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threshold
private double thresholdThreshold to determine whether points 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 point.
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Constructor Details
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RANSACCircleRobustEstimator
public RANSACCircleRobustEstimator()Constructor. -
RANSACCircleRobustEstimator
Constructor with points.- Parameters:
points- 2D points to estimate a circle.- Throws:
IllegalArgumentException- if provided list of points don't have a size greater or equal than MINIMUM_SIZE.
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RANSACCircleRobustEstimator
Constructor.- Parameters:
listener- listener to be notified of events such as when estimation starts, ends or its progress significantly changes.
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RANSACCircleRobustEstimator
Constructor.- Parameters:
listener- listener to be notified of events such as when estimation starts, ends or its progress significantly changes.points- 2D points to estimate a circle.- Throws:
IllegalArgumentException- if provided list of points don't have a size greater or equal than MINIMUM_SIZE.
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Method Details
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getThreshold
public double getThreshold()Returns threshold to determine whether points are inliers or not when testing possible estimation solutions. The threshold refers to the amount of error a possible solution has on a given point.- Returns:
- threshold to determine whether points are inliers or not when testing possible estimation solutions.
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setThreshold
Sets threshold to determine whether points are inliers or not when testing possible estimation solutions. The threshold refers to the amount of error a possible solution has on a given point.- 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.
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estimate
public Circle estimate() throws LockedException, NotReadyException, com.irurueta.numerical.robust.RobustEstimatorExceptionEstimates a circle using a robust estimator and the best set of 2D points that fit into the locus of the estimated circle found using the robust estimator.- Specified by:
estimatein classCircleRobustEstimator- Returns:
- a circle.
- 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).
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getMethod
public com.irurueta.numerical.robust.RobustEstimatorMethod getMethod()Returns method being used for robust estimation.- Specified by:
getMethodin classCircleRobustEstimator- Returns:
- method being used for robust estimation.
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