Class

scalismo.numerics

PointsWithLikelyCorrespondenceSampler

Related Doc: package numerics

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case class PointsWithLikelyCorrespondenceSampler(gp: GaussianProcess[_3D, _3D], refmesh: TriangleMesh, targetMesh: TriangleMesh, maxMd: Double) extends Sampler[_3D] with Product with Serializable

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Serializable, Serializable, Product, Equals, Sampler[_3D], AnyRef, Any
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  1. PointsWithLikelyCorrespondenceSampler
  2. Serializable
  3. Serializable
  4. Product
  5. Equals
  6. Sampler
  7. AnyRef
  8. Any
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Instance Constructors

  1. new PointsWithLikelyCorrespondenceSampler(gp: GaussianProcess[_3D, _3D], refmesh: TriangleMesh, targetMesh: TriangleMesh, maxMd: Double)

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Value Members

  1. final def !=(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  2. final def ##(): Int

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    AnyRef → Any
  3. final def ==(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  4. final def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  6. final def eq(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  7. def finalize(): Unit

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    protected[java.lang]
    Definition Classes
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    Annotations
    @throws( classOf[java.lang.Throwable] )
  8. final def getClass(): Class[_]

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    Definition Classes
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  9. val gp: GaussianProcess[_3D, _3D]

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  10. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any
  11. val maxMd: Double

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  12. val meanPts: Iterator[Point[_3D]]

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  13. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  14. final def notify(): Unit

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    Definition Classes
    AnyRef
  15. final def notifyAll(): Unit

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    Definition Classes
    AnyRef
  16. val numberOfPoints: Int

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  17. val pts: IndexedSeq[(Point[_3D], Double)]

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  18. val ptsWithDist: ParSeq[(Point[_3D], Double)]

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  19. val refmesh: TriangleMesh

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  20. def sample: IndexedSeq[(Point[_3D], Double)]

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    sample n points (x_1, ...

    sample n points (x_1, ... x_n), yielding an sequence of (x_i, p(x_i)), i=1..n , p is the probability density function according to which the points are sampled

    Definition Classes
    PointsWithLikelyCorrespondenceSamplerSampler
  21. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
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  22. val targetMesh: TriangleMesh

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  23. val volumeOfSampleRegion: Double

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  24. final def wait(): Unit

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    Annotations
    @throws( ... )
  25. final def wait(arg0: Long, arg1: Int): Unit

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    @throws( ... )
  26. final def wait(arg0: Long): Unit

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Inherited from Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from Sampler[_3D]

Inherited from AnyRef

Inherited from Any

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