AnisotropicSimilarityTransformationSpace

Instance Constructors

new AnisotropicSimilarityTransformationSpace(center: Point[D])(implicit arg0: NDSpace[D], arg1: CreateRotationSpace[D])

Returns a parametric space generating anisotropic similarity transforms
Returns a parametric space generating anisotropic similarity transforms
center
: center of rotation used in the rigid transform

Type Members

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

Definition Classes
TransformationSpace
type T = ProductTransformation[D]

Type of parametric transforms generated by this space
Type of parametric transforms generated by this space

Definition Classes
ProductTransformationSpace → DifferentiableTransforms → TransformationSpace

Value Members

final def !=(arg0: Any): Boolean

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

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

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

Definition Classes
Any
val center: Point[D]

: center of rotation used in the rigid transform
def clone(): AnyRef

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

Definition Classes
AnyRef
def finalize(): Unit

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

Definition Classes
AnyRef → Any
def identityTransformParameters: DenseVector[Float]

returns the parameters corresponding the identity transform in this space
returns the parameters corresponding the identity transform in this space

Definition Classes
ProductTransformationSpace → TransformationSpace
final def isInstanceOf[T0]: Boolean

Definition Classes
Any
final def ne(arg0: AnyRef): Boolean

Definition Classes
AnyRef
final def notify(): Unit

Definition Classes
AnyRef
final def notifyAll(): Unit

Definition Classes
AnyRef
def parametersDimensionality: Int

Definition Classes
ProductTransformationSpace → TransformationSpace
def product(that: TransformationSpace[D] with DifferentiableTransforms[D]): ProductTransformationSpace[D, Nothing, Nothing]

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
def splitProductParameterVector(p: ParameterVector): (ParameterVector, ParameterVector)

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

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

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
ProductTransformationSpace → TransformationSpace
def transformForParameters(p: ParameterVector): AnisotropicSimilarityTransformation[D]

Returns a D-dimensional anisotropic similarity transform that performs scaling first, then a rigid transformation.
Returns a D-dimensional anisotropic similarity transform that performs scaling first, then a rigid transformation. Currently, this is the only way to create an anisotropic similarity transform as AnisotropicSimilarityTransformation does not expose constructors or factory methods.
The order of operations in the rigid transformation is first rotation, then translation.
p
parameter vector for the transform. This must be a concatenation of the rigid transform parameters first, then scaling parameters

Definition Classes
AnisotropicSimilarityTransformationSpace → ProductTransformationSpace → TransformationSpace
final def wait(): Unit

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

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

Definition Classes
AnyRef
Annotations
@throws( ... )

Related Doc: package registration

case class AnisotropicSimilarityTransformationSpace[D <: Dim](center: Point[D])(implicit evidence$24: NDSpace[D], evidence$25: CreateRotationSpace[D]) extends ProductTransformationSpace[D, RigidTransformation[D], AnisotropicScalingTransformation[D]] with Product with Serializable

Instance Constructors

new AnisotropicSimilarityTransformationSpace(center: Point[D])(implicit arg0: NDSpace[D], arg1: CreateRotationSpace[D])

Type Members

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

type T = ProductTransformation[D]

Value Members

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

final def asInstanceOf[T0]: T0

val center: Point[D]

def clone(): AnyRef

final def eq(arg0: AnyRef): Boolean

def finalize(): Unit

final def getClass(): Class[_]

def identityTransformParameters: DenseVector[Float]

final def isInstanceOf[T0]: Boolean

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

def parametersDimensionality: Int

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

def splitProductParameterVector(p: ParameterVector): (ParameterVector, ParameterVector)

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

def takeDerivativeWRTParameters(p: ParameterVector): (Point[D]) ⇒ DenseMatrix[Float]

def transformForParameters(p: ParameterVector): AnisotropicSimilarityTransformation[D]

final def wait(): Unit

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

final def wait(arg0: Long): Unit

Inherited from Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from ProductTransformationSpace[D, RigidTransformation[D], AnisotropicScalingTransformation[D]]

Inherited from DifferentiableTransforms[D]

Inherited from TransformationSpace[D]

Inherited from AnyRef

Inherited from Any

Ungrouped