TransformationSpace

Trait for a parametric transformation space.

Many pre-implemented transformation spaces implement this trait : TranslationSpace, ScalingSpace, RotationSpace ..

Most of the basic transforms in our library (scaling, translation, rotation ..) can be created directly and do not necessarily require the prior creation of a TransformationSpace. Defining a TransformationSpace is mainly useful during a registration process where one optimizes over a set of parameters to retrieve a desired transformation.

Linear Supertypes

AnyRef, Any

Known Subclasses

AnisotropicScalingSpace, AnisotropicSimilarityTransformationSpace, GaussianProcessTransformationSpace, ProductTransformationSpace, RigidTransformationSpace, RotationSpace, ScalingSpace, TranslationSpace

Type Members

type JacobianImage = (Point[D]) ⇒ DenseMatrix[Float]
abstract type T <: ParametricTransformation[D]

Type of parametric transforms generated by this space

Abstract Value Members

abstract def identityTransformParameters: DenseVector[Float]

returns the parameters corresponding the identity transform in this space
abstract def parametersDimensionality: Int
abstract def takeDerivativeWRTParameters(alpha: ParameterVector): JacobianImage

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
abstract def transformForParameters(p: ParameterVector): T

returns a transformation corresponding the indicated parameters

Concrete Value Members

final def !=(arg0: Any): Boolean

Definition Classes
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final def ##(): Int

Definition Classes
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final def ==(arg0: Any): Boolean

Definition Classes
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final def asInstanceOf[T0]: T0

Definition Classes
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def clone(): AnyRef

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

Definition Classes
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def equals(arg0: Any): Boolean

Definition Classes
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def finalize(): Unit

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

Definition Classes
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def hashCode(): Int

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final def isInstanceOf[T0]: Boolean

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final def ne(arg0: AnyRef): Boolean

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final def notify(): Unit

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final def notifyAll(): Unit

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

Definition Classes
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def toString(): String

Definition Classes
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final def wait(): Unit

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

Definition Classes
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Annotations
@throws( ... )
final def wait(arg0: Long): Unit

Definition Classes
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@throws( ... )

Related Docs: object TransformationSpace | package registration

trait TransformationSpace[D <: Dim] extends AnyRef

Type Members

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

abstract type T <: ParametricTransformation[D]

Abstract Value Members

abstract def identityTransformParameters: DenseVector[Float]

abstract def parametersDimensionality: Int

abstract def takeDerivativeWRTParameters(alpha: ParameterVector): JacobianImage

abstract def transformForParameters(p: ParameterVector): T

Concrete Value Members

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

final def asInstanceOf[T0]: T0

def clone(): AnyRef

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

def finalize(): Unit

final def getClass(): Class[_]

def hashCode(): Int

final def isInstanceOf[T0]: Boolean

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

final def synchronized[T0](arg0: ⇒ T0): T0

def toString(): String

final def wait(): Unit

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

final def wait(arg0: Long): Unit

Inherited from AnyRef

Inherited from Any

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