Uses of Interface
org.openimaj.feature.DoubleFVComparator

Packages that use DoubleFVComparator

Package	Description
org.openimaj.feature
org.openimaj.image.processing.face.recognition
org.openimaj.knn
org.openimaj.ml.clustering.assignment.hard

Uses of DoubleFVComparator in org.openimaj.feature

Classes in org.openimaj.feature that implement DoubleFVComparator

Modifier and Type	Class and Description
class	DoubleFVComparison Comparison/distance methods for DoubleFV objects.

Uses of DoubleFVComparator in org.openimaj.image.processing.face.recognition

Methods in org.openimaj.image.processing.face.recognition with parameters of type DoubleFVComparator

Modifier and Type	Method and Description
static <FACE extends DetectedFace,PERSON> EigenFaceRecogniser<FACE,PERSON>	EigenFaceRecogniser.create(int numComponents, FaceAligner<FACE> aligner, int k, DoubleFVComparator compar) Convenience method to create an EigenFaceRecogniser with a standard KNN classifier.
static <FACE extends DetectedFace,PERSON> FisherFaceRecogniser<FACE,PERSON>	FisherFaceRecogniser.create(int numComponents, FaceAligner<FACE> aligner, int k, DoubleFVComparator compar) Convenience method to create an FisherFaceRecogniser with a standard KNN classifier.
static <FACE extends DetectedFace,PERSON> EigenFaceRecogniser<FACE,PERSON>	EigenFaceRecogniser.create(int numComponents, FaceAligner<FACE> aligner, int k, DoubleFVComparator compar, float threshold) Convenience method to create an EigenFaceRecogniser with a standard KNN classifier, incorporating a threshold on the maximum distance (or minimum similarity) to allow a match.
static <FACE extends DetectedFace,PERSON> FisherFaceRecogniser<FACE,PERSON>	FisherFaceRecogniser.create(int numComponents, FaceAligner<FACE> aligner, int k, DoubleFVComparator compar, float threshold) Convenience method to create an FisherFaceRecogniser with a standard KNN classifier, incorporating a threshold on the maximum distance (or minimum similarity) to allow a match.

Uses of DoubleFVComparator in org.openimaj.knn

Fields in org.openimaj.knn declared as DoubleFVComparator

Modifier and Type	Field and Description
protected DoubleFVComparator	DoubleNearestNeighboursExact.distance

Methods in org.openimaj.knn that return DoubleFVComparator

Modifier and Type	Method and Description
DoubleFVComparator	DoubleNearestNeighboursExact.distanceComparator() Get the distance comparator

Methods in org.openimaj.knn with parameters of type DoubleFVComparator

Modifier and Type	Method and Description
static double	DoubleNearestNeighbours.distanceFunc(DoubleFVComparator distance, double[] qu, double[] pnt) Static method to find a distance between a query vector and a point.
static void	DoubleNearestNeighbours.distanceFunc(DoubleFVComparator distance, double[] qu, double[][] pnts, double[] dsq_out) Static method to find a distance between a query vector and each of a set of points.

Constructors in org.openimaj.knn with parameters of type DoubleFVComparator

Constructor and Description
DoubleNearestNeighboursExact(double[][] pnts, DoubleFVComparator distance) Construct the DoubleNearestNeighboursExact over the provided dataset with the given distance function.
Factory(DoubleFVComparator distance) Construct the factory with the given distance function for the produced DoubleNearestNeighbours instances.

Uses of DoubleFVComparator in org.openimaj.ml.clustering.assignment.hard

Constructors in org.openimaj.ml.clustering.assignment.hard with parameters of type DoubleFVComparator

Constructor and Description
ExactDoubleAssigner(CentroidsProvider<double[]> provider, DoubleFVComparator comparison) Construct the assigner using the given cluster data and distance function.
ExactDoubleAssigner(double[][] data, DoubleFVComparator comparison) Construct the assigner using the given cluster data and distance function.