Package com.irurueta.geometry.estimators
Class PROSACPlaneCorrespondenceProjectiveTransformation3DRobustEstimator
java.lang.Object
com.irurueta.geometry.estimators.ProjectiveTransformation3DRobustEstimator
com.irurueta.geometry.estimators.PlaneCorrespondenceProjectiveTransformation3DRobustEstimator
com.irurueta.geometry.estimators.PROSACPlaneCorrespondenceProjectiveTransformation3DRobustEstimator
public class PROSACPlaneCorrespondenceProjectiveTransformation3DRobustEstimator
extends PlaneCorrespondenceProjectiveTransformation3DRobustEstimator
Finds the best projective 3D transformation for provided collections of
matched 3D planes using PROSAC algorithm.
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Field Summary
FieldsModifier and TypeFieldDescriptionprivate booleanIndicates whether inliers must be computed and kept.private booleanIndicates whether residuals must be computed and kept.static final booleanIndicates that by default inliers will only be computed but not kept.static final booleanIndicates that by default residuals will only be computed but not kept.static final doubleConstant defining default threshold to determine whether planes are inliers or not.static final doubleMinimum value that can be set as threshold.private double[]Quality scores corresponding to each pair of matched planes.private doubleThreshold to determine whether planes are inliers or not when testing possible estimation solutions.Fields inherited from class com.irurueta.geometry.estimators.PlaneCorrespondenceProjectiveTransformation3DRobustEstimator
DEFAULT_ROBUST_METHOD, inputPlanes, outputPlanesFields inherited from class com.irurueta.geometry.estimators.ProjectiveTransformation3DRobustEstimator
confidence, covariance, DEFAULT_CONFIDENCE, DEFAULT_KEEP_COVARIANCE, DEFAULT_MAX_ITERATIONS, DEFAULT_PROGRESS_DELTA, DEFAULT_REFINE_RESULT, inliersData, keepCovariance, listener, locked, MAX_CONFIDENCE, MAX_PROGRESS_DELTA, maxIterations, MIN_CONFIDENCE, MIN_ITERATIONS, MIN_PROGRESS_DELTA, MINIMUM_SIZE, progressDelta, refineResult -
Constructor Summary
ConstructorsConstructorDescriptionConstructor.PROSACPlaneCorrespondenceProjectiveTransformation3DRobustEstimator(double[] qualityScores) Constructor.PROSACPlaneCorrespondenceProjectiveTransformation3DRobustEstimator(ProjectiveTransformation3DRobustEstimatorListener listener) Constructor.PROSACPlaneCorrespondenceProjectiveTransformation3DRobustEstimator(ProjectiveTransformation3DRobustEstimatorListener listener, double[] qualityScores) Constructor.PROSACPlaneCorrespondenceProjectiveTransformation3DRobustEstimator(ProjectiveTransformation3DRobustEstimatorListener listener, List<Plane> inputPlanes, List<Plane> outputPlanes) Constructor with listener and lists of planes to be used to estimate a projective 3D transformation.PROSACPlaneCorrespondenceProjectiveTransformation3DRobustEstimator(ProjectiveTransformation3DRobustEstimatorListener listener, List<Plane> inputPlanes, List<Plane> outputPlanes, double[] qualityScores) Constructor with listener and lists of planes to be used to estimate a projective 3D transformation.PROSACPlaneCorrespondenceProjectiveTransformation3DRobustEstimator(List<Plane> inputPlanes, List<Plane> outputPlanes) Constructor with lists of planes to be used to estimate a projective 3D transformation.PROSACPlaneCorrespondenceProjectiveTransformation3DRobustEstimator(List<Plane> inputPlanes, List<Plane> outputPlanes, double[] qualityScores) Constructor with lists of planes to be used to estimate a projective 3D transformation. -
Method Summary
Modifier and TypeMethodDescriptionestimate()Estimates a projective 3D transformation using a robust estimator and the best set of matched 3D planes correspondences found using the robust estimator.com.irurueta.numerical.robust.RobustEstimatorMethodReturns method being used for robust estimation.double[]Returns quality scores corresponding to each pair of matched planes.protected doubleGets standard deviation used for Levenberg-Marquardt fitting during refinement.doubleReturns threshold to determine whether planes are inliers or not when testing possible estimation solutions.private voidinternalSetQualityScores(double[] qualityScores) Sets quality scores corresponding to each pair of matched lines.booleanIndicates whether inliers must be computed and kept.booleanIndicates whether residuals must be computed and kept.booleanisReady()Indicates if estimator is ready to start the projective 3D transformation estimation.voidsetComputeAndKeepInliersEnabled(boolean computeAndKeepInliers) Specifies whether inliers must be computed and kept.voidsetComputeAndKeepResidualsEnabled(boolean computeAndKeepResiduals) Specifies whether residuals must be computed and kept.voidsetQualityScores(double[] qualityScores) Sets quality scores corresponding to each pair of matched planes.voidsetThreshold(double threshold) Sets threshold to determine whether planes are inliers or not when testing possible estimation solutions.Methods inherited from class com.irurueta.geometry.estimators.PlaneCorrespondenceProjectiveTransformation3DRobustEstimator
attemptRefine, create, create, create, create, create, create, create, create, create, create, create, create, create, create, create, create, getInputPlanes, getOutputPlanes, getResidual, setPlanesMethods inherited from class com.irurueta.geometry.estimators.ProjectiveTransformation3DRobustEstimator
createFromPlanes, createFromPlanes, createFromPlanes, createFromPlanes, createFromPlanes, createFromPlanes, createFromPlanes, createFromPlanes, createFromPoints, createFromPoints, createFromPoints, createFromPoints, createFromPoints, createFromPoints, createFromPoints, createFromPoints, getConfidence, getCovariance, getInliersData, getListener, getMaxIterations, getProgressDelta, isCovarianceKept, isListenerAvailable, isLocked, isResultRefined, setConfidence, setCovarianceKept, setListener, setMaxIterations, setProgressDelta, setResultRefined
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Field Details
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DEFAULT_THRESHOLD
public static final double DEFAULT_THRESHOLDConstant defining default threshold to determine whether planes are inliers or not. Residuals to determine whether planes are inliers or not are computed by comparing two planes algebraically (e.g. doing the dot product of their parameters). A residual of 0 indicates that dot product was 1 or -1 and planes were equal. A residual of 1 indicates that dot product was 0 and planes were orthogonal. If dot product between planes is -1, then although their director vectors are opposed, planes are considered equal, since sign changes are not taken into account and their residuals will be 0.- 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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DEFAULT_COMPUTE_AND_KEEP_INLIERS
public static final boolean DEFAULT_COMPUTE_AND_KEEP_INLIERSIndicates that by default inliers will only be computed but not kept.- See Also:
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DEFAULT_COMPUTE_AND_KEEP_RESIDUALS
public static final boolean DEFAULT_COMPUTE_AND_KEEP_RESIDUALSIndicates that by default residuals will only be computed but not kept.- See Also:
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threshold
private double thresholdThreshold to determine whether planes are inliers or not when testing possible estimation solutions. The threshold refers to the amount of error (i.e. distance and director vector angle difference) a possible solution has on a matched pair of lines. -
qualityScores
private double[] qualityScoresQuality scores corresponding to each pair of matched planes. The larger the score value the better the quality of the matching. -
computeAndKeepInliers
private boolean computeAndKeepInliersIndicates whether inliers must be computed and kept. -
computeAndKeepResiduals
private boolean computeAndKeepResidualsIndicates whether residuals must be computed and kept.
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Constructor Details
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PROSACPlaneCorrespondenceProjectiveTransformation3DRobustEstimator
public PROSACPlaneCorrespondenceProjectiveTransformation3DRobustEstimator()Constructor. -
PROSACPlaneCorrespondenceProjectiveTransformation3DRobustEstimator
public PROSACPlaneCorrespondenceProjectiveTransformation3DRobustEstimator(List<Plane> inputPlanes, List<Plane> outputPlanes) Constructor with lists of planes to be used to estimate a projective 3D transformation. Planes 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:
inputPlanes- list of input planes to be used to estimate a projective 3D transformation.outputPlanes- list of output planes to be used to estimate a projective 3D transformation.- Throws:
IllegalArgumentException- if provided lists of planes don't have the same size or their size is smaller than MINIMUM_SIZE.
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PROSACPlaneCorrespondenceProjectiveTransformation3DRobustEstimator
public PROSACPlaneCorrespondenceProjectiveTransformation3DRobustEstimator(ProjectiveTransformation3DRobustEstimatorListener listener) Constructor.- Parameters:
listener- listener to be notified of events such as when estimation starts, ends or its progress significantly changes.
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PROSACPlaneCorrespondenceProjectiveTransformation3DRobustEstimator
public PROSACPlaneCorrespondenceProjectiveTransformation3DRobustEstimator(ProjectiveTransformation3DRobustEstimatorListener listener, List<Plane> inputPlanes, List<Plane> outputPlanes) Constructor with listener and lists of planes to be used to estimate a projective 3D transformation. Planes 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.inputPlanes- list of input planes to be used to estimate a projective 3D transformation.outputPlanes- list of output planes to be used to estimate a projective 3D transformation.- Throws:
IllegalArgumentException- if provided lists of planes don't have the same size or their size is smaller than MINIMUM_SIZE.
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PROSACPlaneCorrespondenceProjectiveTransformation3DRobustEstimator
public PROSACPlaneCorrespondenceProjectiveTransformation3DRobustEstimator(double[] qualityScores) Constructor.- Parameters:
qualityScores- quality scores corresponding to each pair of matched points.- Throws:
IllegalArgumentException- if provided quality scores length is smaller than MINIMUM_SIZE (i.e. 3 samples).
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PROSACPlaneCorrespondenceProjectiveTransformation3DRobustEstimator
public PROSACPlaneCorrespondenceProjectiveTransformation3DRobustEstimator(List<Plane> inputPlanes, List<Plane> outputPlanes, double[] qualityScores) Constructor with lists of planes to be used to estimate a projective 3D transformation. Planes 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:
inputPlanes- list of input planes to be used to estimate a projective 3D transformation.outputPlanes- list of output planes to be used to estimate a projective 3D transformation.qualityScores- quality scores corresponding to each pair of matched planes.- Throws:
IllegalArgumentException- if provided lists of planes and array of quality scores don't have the same size or their size is smaller than MINIMUM_SIZE.
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PROSACPlaneCorrespondenceProjectiveTransformation3DRobustEstimator
public PROSACPlaneCorrespondenceProjectiveTransformation3DRobustEstimator(ProjectiveTransformation3DRobustEstimatorListener listener, double[] qualityScores) Constructor.- 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 planes.- Throws:
IllegalArgumentException- if provided quality scores length is smaller than MINIMUM_SIZE (i.e. 3 samples).
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PROSACPlaneCorrespondenceProjectiveTransformation3DRobustEstimator
public PROSACPlaneCorrespondenceProjectiveTransformation3DRobustEstimator(ProjectiveTransformation3DRobustEstimatorListener listener, List<Plane> inputPlanes, List<Plane> outputPlanes, double[] qualityScores) Constructor with listener and lists of planes to be used to estimate a projective 3D transformation. Planes 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.inputPlanes- list of input planes to be used to estimate a projective 3D transformation.outputPlanes- list of output planes to be used to estimate a projective 3D transformation.qualityScores- quality scores corresponding to each pair of matched planes.- Throws:
IllegalArgumentException- if provided lists of planes don't have the same size or their size is smaller than MINIMUM_SIZE.
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Method Details
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getThreshold
public double getThreshold()Returns threshold to determine whether planes are inliers or not when testing possible estimation solutions. Residuals to determine whether planes are inliers or not are computed by comparing two planes algebraically (e.g. doing the dot product of their parameters). A residual of 0 indicates that dot product was 1 or -1 and planes were equal. A residual of 1 indicates that dot product was 0 and planes were orthogonal. If dot product between planes is -1, then although their director vectors are opposed, planes are considered equal, since sign changes are not taken into account and their residuals will be 0.- Returns:
- threshold to determine whether matched planes are inliers or not.
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setThreshold
Sets threshold to determine whether planes are inliers or not when testing possible estimation solutions. Residuals to determine whether planes are inliers or not are computed by comparing two lines algebraically (e.g. doing the dot product of their parameters). A residual of 0 indicates that dot product was 1 or -1 and planes were equal. A residual of 1 indicates that dot product was 0 and planes were orthogonal. If dot product between planes is -1, then although their director vectors are opposed, planes are considered equal, since sign changes are not taken into account and their residuals will be 0.- Parameters:
threshold- threshold to determine whether matched planes are inliers or not.- 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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getQualityScores
public double[] getQualityScores()Returns quality scores corresponding to each pair of matched planes. The larger the score value the better the quality of the matching.- Overrides:
getQualityScoresin classPlaneCorrespondenceProjectiveTransformation3DRobustEstimator- Returns:
- quality scores corresponding to each pair of matched planes.
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setQualityScores
Sets quality scores corresponding to each pair of matched planes. The larger the score value the better the quality of the matching.- Overrides:
setQualityScoresin classPlaneCorrespondenceProjectiveTransformation3DRobustEstimator- Parameters:
qualityScores- quality scores corresponding to each pair of matched planes.- 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).
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isReady
public boolean isReady()Indicates if estimator is ready to start the projective 3D transformation estimation. This is true when input data (i.e. lists of matched planes and quality scores) are provided and a minimum of MINIMUM_SIZE lines are available.- Overrides:
isReadyin classPlaneCorrespondenceProjectiveTransformation3DRobustEstimator- Returns:
- true if estimator is ready, false otherwise.
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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.
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setComputeAndKeepInliersEnabled
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.
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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.
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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.
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estimate
public ProjectiveTransformation3D estimate() throws LockedException, NotReadyException, com.irurueta.numerical.robust.RobustEstimatorExceptionEstimates a projective 3D transformation using a robust estimator and the best set of matched 3D planes correspondences found using the robust estimator.- Specified by:
estimatein classProjectiveTransformation3DRobustEstimator- Returns:
- a projective 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).
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getMethod
public com.irurueta.numerical.robust.RobustEstimatorMethod getMethod()Returns method being used for robust estimation.- Specified by:
getMethodin classProjectiveTransformation3DRobustEstimator- Returns:
- method being used for robust estimation.
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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:
getRefinementStandardDeviationin classProjectiveTransformation3DRobustEstimator- Returns:
- standard deviation used for refinement.
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internalSetQualityScores
private void internalSetQualityScores(double[] qualityScores) Sets quality scores corresponding to each pair of matched lines. This method is used internally and does not check whether instance is locked or not.- Parameters:
qualityScores- quality scores to be set.- Throws:
IllegalArgumentException- if provided quality scores length is smaller than MINIMUM_SIZE.
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