Uses of Interface
net.preibisch.mvrecon.process.pointcloud.pointdescriptor.similarity.SimilarityMeasure

Packages that use SimilarityMeasure

Package	Description
net.preibisch.mvrecon.process.interestpointregistration.pairwise.methods.rgldm
net.preibisch.mvrecon.process.pointcloud.pointdescriptor
net.preibisch.mvrecon.process.pointcloud.pointdescriptor.similarity
net.preibisch.mvrecon.process.pointcloud.pointdescriptor.test

Uses of SimilarityMeasure in net.preibisch.mvrecon.process.interestpointregistration.pairwise.methods.rgldm

Methods in net.preibisch.mvrecon.process.interestpointregistration.pairwise.methods.rgldm with parameters of type SimilarityMeasure

Modifier and Type	Method	Description
protected static <I extends InterestPoint> ArrayList<SimplePointDescriptor<I>>	RGLDMMatcher.createSimplePointDescriptors(net.imglib2.KDTree<I> tree, List<I> basisPoints, int numNeighbors, Matcher matcher, SimilarityMeasure similarityMeasure)

Uses of SimilarityMeasure in net.preibisch.mvrecon.process.pointcloud.pointdescriptor

Methods in net.preibisch.mvrecon.process.pointcloud.pointdescriptor that return SimilarityMeasure

Modifier and Type	Method	Description
SimilarityMeasure	AbstractPointDescriptor.getSimilarityMeasure()

Methods in net.preibisch.mvrecon.process.pointcloud.pointdescriptor with parameters of type SimilarityMeasure

Modifier and Type	Method	Description
void	AbstractPointDescriptor.setSimilarityMeasure(SimilarityMeasure similarityMeasure)	Sets the SimilarityMeasure object that is used to compute how similar two descriptors are

Constructors in net.preibisch.mvrecon.process.pointcloud.pointdescriptor with parameters of type SimilarityMeasure

Modifier	Constructor	Description
	AbstractPointDescriptor(P basisPoint, ArrayList<P> orderedNearestNeighboringPoints, SimilarityMeasure similarityMeasure, Matcher matcher)
	ModelPointDescriptor(P basisPoint, ArrayList<P> orderedNearestNeighboringPoints, TranslationInvariantModel<?> model, SimilarityMeasure similarityMeasure, Matcher matcher)	Creates a ModelPointDescriptor that can perform matching using a Model For the computational process it only modifies the world coordinates of its own descriptorPoints, thus providing the opportunity for multi-threading.
	SimplePointDescriptor(P basisPoint, ArrayList<P> orderedNearestNeighboringPoints, SimilarityMeasure similarityMeasure, Matcher matcher)

Uses of SimilarityMeasure in net.preibisch.mvrecon.process.pointcloud.pointdescriptor.similarity

Classes in net.preibisch.mvrecon.process.pointcloud.pointdescriptor.similarity that implement SimilarityMeasure

Modifier and Type	Class	Description
class	LinearDistance
class	ManhattanDistance
class	SquareDistance

Uses of SimilarityMeasure in net.preibisch.mvrecon.process.pointcloud.pointdescriptor.test

Methods in net.preibisch.mvrecon.process.pointcloud.pointdescriptor.test with parameters of type SimilarityMeasure

Modifier and Type	Method	Description
static <P extends mpicbg.models.Point> ArrayList<ModelPointDescriptor<P>>	TestPointDescriptor.createModelPointDescriptors(net.imglib2.KDTree<VirtualPointNode<P>> tree, ArrayList<VirtualPointNode<P>> basisPoints, int numNeighbors, TranslationInvariantModel<?> model, Matcher matcher, SimilarityMeasure similarityMeasure)