Class

scalismo.registration

ProductTransformationSpace

Related Doc: package registration

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class ProductTransformationSpace[D <: Dim, OT <: ParametricTransformation[D] with CanDifferentiate[D], IT <: ParametricTransformation[D] with CanDifferentiate[D]] extends TransformationSpace[D] with DifferentiableTransforms[D]

Parametric Transformation Space Combining two transformation spaces passed as arguments

D

Dimensionality of the inputs to the transformations generated by this space

OT

Type of the outer transformation space. This space must generate differentiable parametric transforms

IT

Type of the inner transformation space. This space must generate differentiable parametric transforms

Linear Supertypes
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  1. ProductTransformationSpace
  2. DifferentiableTransforms
  3. TransformationSpace
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Type Members

  1. type JacobianImage = (Point[D]) ⇒ DenseMatrix[Float]

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    Definition Classes
    TransformationSpace
  2. type T = ProductTransformation[D]

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    Type of parametric transforms generated by this space

    Type of parametric transforms generated by this space

    Definition Classes
    ProductTransformationSpaceDifferentiableTransformsTransformationSpace

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. final def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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  6. final def eq(arg0: AnyRef): Boolean

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  7. def equals(arg0: Any): Boolean

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  8. def finalize(): Unit

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  9. final def getClass(): Class[_]

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  10. def hashCode(): Int

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  11. def identityTransformParameters: DenseVector[Float]

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    returns the parameters corresponding the identity transform in this space

    returns the parameters corresponding the identity transform in this space

    Definition Classes
    ProductTransformationSpaceTransformationSpace
  12. final def isInstanceOf[T0]: Boolean

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

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  14. final def notify(): Unit

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  15. final def notifyAll(): Unit

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  16. def parametersDimensionality: Int

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  17. def product(that: TransformationSpace[D] with DifferentiableTransforms[D]): ProductTransformationSpace[D, Nothing, Nothing]

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    Produces a ProductTransformationSpace combining self with the space passed as argument

    Produces a ProductTransformationSpace combining self with the space passed as argument

    Definition Classes
    DifferentiableTransforms
  18. def splitProductParameterVector(p: ParameterVector): (ParameterVector, ParameterVector)

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    Attributes
    protected
  19. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
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  20. def takeDerivativeWRTParameters(p: ParameterVector): (Point[D]) ⇒ DenseMatrix[Float]

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    returns a function providing the Jacobian at a requested point.

    returns a function providing the Jacobian at a requested point. This is used when optimizing over the parameters, e.g. during registration

    Definition Classes
    ProductTransformationSpaceTransformationSpace
  21. def toString(): String

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    Definition Classes
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  22. def transformForParameters(p: ParameterVector): ProductTransformation[D]

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    Returns a transform belonging to the product space.

    Returns a transform belonging to the product space. Parameters should be a concatenation of the outer and inner space parameters

    Definition Classes
    ProductTransformationSpaceTransformationSpace
  23. final def wait(): Unit

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  24. final def wait(arg0: Long, arg1: Int): Unit

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  25. final def wait(arg0: Long): Unit

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Inherited from DifferentiableTransforms[D]

Inherited from TransformationSpace[D]

Inherited from AnyRef

Inherited from Any

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