case class ShapeAndPosePGA[DDomain[D] <: DiscreteDomain[D]](gp: DiscreteLowRankGaussianProcess[_3D, [D]DomainWithPoseParameters[D, DDomain], ShapeAndPoseVector[_3D]], logExpMapping: PoseExpLogMappingSingleDomain[DDomain])(implicit warperDomainWithPose: DomainWarp[_3D, [D]DomainWithPoseParameters[D, DDomain]], warperInnerDomain: DomainWarp[_3D, DDomain], rng: Random) extends Product with Serializable

A ShapeAndPoseGPA models shape and pose variations across given examples of mesh with Pose Parameters as deformation fields using DiscreteLowRankGaussianProcess. the ShapeAndPoseGPA while modelling shape deformation fields as scalismo.statisticalmodel.StatisticalMeshModel, it uses PoseExpLogMapping to linearise pose deformation fields. ShapeAndPoseGPA warps the single body object with the shape and pose deformation fields to produce a new DomainWithPoseParameters.

See also

DiscreteLowRankGaussianProcess

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Instance Constructors

  1. new ShapeAndPosePGA(gp: DiscreteLowRankGaussianProcess[_3D, [D]DomainWithPoseParameters[D, DDomain], ShapeAndPoseVector[_3D]], logExpMapping: PoseExpLogMappingSingleDomain[DDomain])(implicit warperDomainWithPose: DomainWarp[_3D, [D]DomainWithPoseParameters[D, DDomain]], warperInnerDomain: DomainWarp[_3D, DDomain], rng: Random)

Value Members

  1. final def !=(arg0: Any): Boolean
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  2. final def ##: Int
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  3. final def ==(arg0: Any): Boolean
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  4. def PosePGA: ShapeAndPosePGA[DDomain]

    Returns a marginal ShapeAndPoseGPA over pose features.

    Returns a marginal ShapeAndPoseGPA over pose features. It models pose deformations only on the given ShapeAndPoseGPA

  5. final def asInstanceOf[T0]: T0
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  6. def clone(): AnyRef
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    protected[lang]
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    @throws(classOf[java.lang.CloneNotSupportedException]) @native()
  7. final def eq(arg0: AnyRef): Boolean
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  8. def finalize(): Unit
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    @throws(classOf[java.lang.Throwable])
  9. final def getClass(): Class[_ <: AnyRef]
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    @native()
  10. val gp: DiscreteLowRankGaussianProcess[_3D, [D]DomainWithPoseParameters[D, DDomain], ShapeAndPoseVector[_3D]]
  11. def instance(coeffs: DenseVector[Double]): DomainWithPoseParameters[_3D, DDomain]

    returns a DomainWithPoseParameters that corresponds to a combination of the basis functions with the given coefficients coeffs.

    returns a DomainWithPoseParameters that corresponds to a combination of the basis functions with the given coefficients coeffs.

    See also

    DiscreteLowRankGaussianProcess.instance

  12. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  13. val logExpMapping: PoseExpLogMappingSingleDomain[DDomain]
  14. val mean: DomainWithPoseParameters[_3D, DDomain]

    The mean MultiBodyObject

    The mean MultiBodyObject

    See also

    DiscreteLowRankGaussianProcess.mean

  15. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  16. def newReference(newReference: DomainWithPoseParameters[_3D, DDomain], interpolator: FieldInterpolator[_3D, [D]DomainWithPoseParameters[D, DDomain], ShapeAndPoseVector[_3D]], newLogExpMapping: PoseExpLogMappingSingleDomain[DDomain]): ShapeAndPosePGA[DDomain]
  17. final def notify(): Unit
    Definition Classes
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    @native()
  18. final def notifyAll(): Unit
    Definition Classes
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    @native()
  19. def posterior(trainingData: IndexedSeq[(PointId, Point[_3D])], sigma2: Double): ShapeAndPosePGA[DDomain]

    Similar to Point[_3D])], sigma2: Double), but the training data is defined by specifying the target point instead of the displacement vector

  20. def productElementNames: Iterator[String]
    Definition Classes
    Product
  21. def sample(): DomainWithPoseParameters[_3D, DDomain]

    draws a random DomainWithPoseParameters.

    draws a random DomainWithPoseParameters.

    See also

    DiscreteLowRankGaussianProcess.sample

  22. def shapePDM: PointDistributionModel[_3D, DDomain]

    Returns a marginal ShapeAndPoseGPA over shape features, which a PointDistributionModel.

    Returns a marginal ShapeAndPoseGPA over shape features, which a PointDistributionModel. It models shape deformations only on the given ShapeAndPoseGPA

  23. final def synchronized[T0](arg0: => T0): T0
    Definition Classes
    AnyRef
  24. def transform(rigidTransform: RigidTransformation[_3D]): ShapeAndPosePGA[DDomain]

    transform the ShapeAndPoseGPA using the given rigid transform.

    transform the ShapeAndPoseGPA using the given rigid transform. The spanned shape and pose space is not affected by this operations.

  25. final def wait(): Unit
    Definition Classes
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    @throws(classOf[java.lang.InterruptedException])
  26. final def wait(arg0: Long, arg1: Int): Unit
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    @throws(classOf[java.lang.InterruptedException])
  27. final def wait(arg0: Long): Unit
    Definition Classes
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    @throws(classOf[java.lang.InterruptedException]) @native()

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