Package com.irurueta.geometry.estimators

Class RANSACEuclideanTransformation3DRobustEstimator

java.lang.Object
com.irurueta.geometry.estimators.EuclideanTransformation3DRobustEstimator
com.irurueta.geometry.estimators.RANSACEuclideanTransformation3DRobustEstimator
public class RANSACEuclideanTransformation3DRobustEstimator extends EuclideanTransformation3DRobustEstimator
Finds the best Euclidean 3D transformation for provided collections of matched 3D points using RANSAC algorithm.

  • Field Details

    • DEFAULT_THRESHOLD

      public static final double DEFAULT_THRESHOLD
      Constant defining default threshold to determine whether points are inliers or not. By default, 1.0 is considered a good value for cases where measures are done on pixels, since typically the minimum resolution is 1 pixel.
      See Also:

    • 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:

    • DEFAULT_COMPUTE_AND_KEEP_INLIERS

      public static final boolean DEFAULT_COMPUTE_AND_KEEP_INLIERS
      Indicates that by default inliers will only be computed but not kept.
      See Also:

    • DEFAULT_COMPUTE_AND_KEEP_RESIDUALS

      public static final boolean DEFAULT_COMPUTE_AND_KEEP_RESIDUALS
      Indicates that by default residuals will only be computed but not kept.
      See Also:

    • threshold

      private double threshold
      Threshold 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.

    • computeAndKeepInliers

      private boolean computeAndKeepInliers
      Indicates whether inliers must be computed and kept.

    • computeAndKeepResiduals

      private boolean computeAndKeepResiduals
      Indicates whether residuals must be computed and kept.

  • Constructor Details

    • RANSACEuclideanTransformation3DRobustEstimator

      public RANSACEuclideanTransformation3DRobustEstimator()
      Constructor.

    • RANSACEuclideanTransformation3DRobustEstimator

      public RANSACEuclideanTransformation3DRobustEstimator(List<Point3D> inputPoints, List<Point3D> outputPoints)
      Constructor with lists of points to be used to estimate an Euclidean 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 3D transformation.
      outputPoints - list of output points to be used to estimate an affine 3D transformation.
      Throws:
      IllegalArgumentException - if provided lists of points don't have the same size or their size is smaller than MINIMUM_SIZE.

    • RANSACEuclideanTransformation3DRobustEstimator

      public RANSACEuclideanTransformation3DRobustEstimator(EuclideanTransformation3DRobustEstimatorListener listener)
      Constructor.
      Parameters:
      listener - listener to be notified of events such as when estimation starts, ends or its progress significantly changes.

    • RANSACEuclideanTransformation3DRobustEstimator

      public RANSACEuclideanTransformation3DRobustEstimator(EuclideanTransformation3DRobustEstimatorListener listener, List<Point3D> inputPoints, List<Point3D> outputPoints)
      Constructor with listener and lists of points to be used to estimate an Euclidean 3D 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 3D transformation.
      outputPoints - list of output points to be used to estimate an affine 3D transformation.
      Throws:
      IllegalArgumentException - if provided lists of points don't have the same size or their size is smaller than MINIMUM_SIZE.

    • RANSACEuclideanTransformation3DRobustEstimator

      public RANSACEuclideanTransformation3DRobustEstimator(boolean weakMinimumSizeAllowed)
      Constructor.
      Parameters:
      weakMinimumSizeAllowed - true allows 3 points, false requires 4.

    • RANSACEuclideanTransformation3DRobustEstimator

      public RANSACEuclideanTransformation3DRobustEstimator(List<Point3D> inputPoints, List<Point3D> outputPoints, boolean weakMinimumSizeAllowed)
      Constructor with lists of points to be used to estimate an Euclidean 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 3D transformation.
      outputPoints - list of output points to be used to estimate an affine 3D transformation.
      weakMinimumSizeAllowed - true allows 3 points, false requires 4.
      Throws:
      IllegalArgumentException - if provided lists of points don't have the same size or their size is smaller than MINIMUM_SIZE.

    • RANSACEuclideanTransformation3DRobustEstimator

      public RANSACEuclideanTransformation3DRobustEstimator(EuclideanTransformation3DRobustEstimatorListener listener, boolean weakMinimumSizeAllowed)
      Constructor.
      Parameters:
      listener - listener to be notified of events such as when estimation starts, ends or its progress significantly changes.
      weakMinimumSizeAllowed - true allows 3 points, false requires 4.

    • RANSACEuclideanTransformation3DRobustEstimator

      public RANSACEuclideanTransformation3DRobustEstimator(EuclideanTransformation3DRobustEstimatorListener listener, List<Point3D> inputPoints, List<Point3D> outputPoints, boolean weakMinimumSizeAllowed)
      Constructor with listener and lists of points to be used to estimate an Euclidean 3D 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 3D transformation.
      outputPoints - list of output points to be used to estimate an affine 3D transformation.
      weakMinimumSizeAllowed - true allows 3 points, false requires 4.
      Throws:
      IllegalArgumentException - if provided lists of points don't have the same size or their size is smaller than MINIMUM_SIZE.

  • Method Details

    • 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 (i.e. Euclidean distance) a possible solution has on a matched pair of points.
      Returns:
      threshold to determine whether points are inliers or not when testing possible estimation solutions.

    • setThreshold

      public void setThreshold(double threshold) throws LockedException
      Sets threshold to determine whether points are inliers or not when testing possible estimation solutions. The threshold refers to the amount of error (i.e. Euclidean distance) a possible solution has on a matched pair of points.
      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.

    • isComputeAndKeepInliersEnabled

      public boolean isComputeAndKeepInliersEnabled()
      Indicates whether inliers must be computed and kept.
      Returns:
      true if inliers must be computed and kept, false if inliers only need to be computed but not kept.

    • setComputeAndKeepInliersEnabled

      public void setComputeAndKeepInliersEnabled(boolean computeAndKeepInliers) throws LockedException
      Specifies whether inliers must be computed and kept.
      Parameters:
      computeAndKeepInliers - true if inliers must be computed and kept, false if inliers only need to be computed but not kept.
      Throws:
      LockedException - if estimator is locked.

    • isComputeAndKeepResidualsEnabled

      public boolean isComputeAndKeepResidualsEnabled()
      Indicates whether residuals must be computed and kept.
      Returns:
      true if residuals must be computed and kept, false if residuals only need to be computed but not kept.

    • setComputeAndKeepResidualsEnabled

      public void setComputeAndKeepResidualsEnabled(boolean computeAndKeepResiduals) throws LockedException
      Specifies whether residuals must be computed and kept.
      Parameters:
      computeAndKeepResiduals - true if residuals must be computed and kept, false if residuals only need to be computed but not kept.
      Throws:
      LockedException - if estimator is locked.

    • estimate

      public EuclideanTransformation3D estimate() throws LockedException, NotReadyException, com.irurueta.numerical.robust.RobustEstimatorException
      Estimates an affine 3D transformation using a robust estimator and the best set of matched 3D point correspondences found using the robust estimator.
      Specified by:
      estimate in class EuclideanTransformation3DRobustEstimator
      Returns:
      an affine 3D transformation.
      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 EuclideanTransformation3DRobustEstimator
      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 EuclideanTransformation3DRobustEstimator
      Returns:
      standard deviation used for refinement.