Package com.irurueta.geometry.estimators
Class RANSACQuadricRobustEstimator
java.lang.Object
com.irurueta.geometry.estimators.QuadricRobustEstimator
com.irurueta.geometry.estimators.RANSACQuadricRobustEstimator
Finds the best quadric for provided collection of 3D 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.QuadricRobustEstimator
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.RANSACQuadricRobustEstimator(QuadricRobustEstimatorListener listener, List<Point3D> points) Constructor.RANSACQuadricRobustEstimator(List<Point3D> points) Constructor with points. -
Method Summary
Modifier and TypeMethodDescriptionestimate()Estimates a quadric using a robust estimator and the best set of 3D points that fit into the locus of the estimated quadric 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.QuadricRobustEstimator
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. Threshold is defined by the equation abs(trans(X)) * Q * X) < t, where trans is the transposition, X is a point, Q is a quadric and t is a threshold. This equation determines the points X belonging to the locus of a quadric Q up to a certain threshold.- 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 matched pair of points.
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Constructor Details
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RANSACQuadricRobustEstimator
public RANSACQuadricRobustEstimator()Constructor. -
RANSACQuadricRobustEstimator
Constructor with points.- Parameters:
points- 3D points to estimate a quadric.- Throws:
IllegalArgumentException- if provided list of points don't have a size greater or equal than MINIMUM_SIZE.
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RANSACQuadricRobustEstimator
Constructor.- Parameters:
listener- listener to be notified of events such as when estimation starts, ends or its progress significantly changes.
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RANSACQuadricRobustEstimator
Constructor.- Parameters:
listener- listener to be notified of events such as when estimation starts, ends or its progress significantly changes.points- 3D points to estimate a quadric.- 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 Quadric estimate() throws LockedException, NotReadyException, com.irurueta.numerical.robust.RobustEstimatorExceptionEstimates a quadric using a robust estimator and the best set of 3D points that fit into the locus of the estimated quadric found using the robust estimator.- Specified by:
estimatein classQuadricRobustEstimator- Returns:
- a quadric.
- 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 classQuadricRobustEstimator- Returns:
- method being used for robust estimation.
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