Uses of Class
org.openimaj.feature.DoubleFV

Packages that use DoubleFV

Package	Description
org.openimaj.audio
org.openimaj.audio.features
org.openimaj.feature
org.openimaj.feature.conversion
org.openimaj.image.analysis.algorithm
org.openimaj.image.annotation.evaluation.dataset
org.openimaj.image.connectedcomponent.proc
org.openimaj.image.feature
org.openimaj.image.feature.global
org.openimaj.image.model
org.openimaj.image.processing.face.detection	The detection package contains implementations of face detectors.
org.openimaj.image.processing.face.feature	The feature package contains implementations of features that can describe a face.
org.openimaj.lsh.functions
org.openimaj.math.statistics.distribution
org.openimaj.ml.clustering.spectral
org.openimaj.ml.kernel
org.openimaj.ml.pca
org.openimaj.text.nlp.sentiment.model.classifier
org.openimaj.video.processing.shotdetector
org.openimaj.vis.ternary

Uses of DoubleFV in org.openimaj.audio

Methods in org.openimaj.audio that return types with arguments of type DoubleFV

Modifier and Type	Method and Description
abstract IncrementalAnnotator<DoubleFV,String>	AudioAnnotator.AudioAnnotatorType.getAnnotator() Returns a annotator that can train a DoubleFV feature with a specific String label.

Methods in org.openimaj.audio with parameters of type DoubleFV

Modifier and Type	Method and Description
List<ScoredAnnotation<String>>	AudioAnnotator.annotate(DoubleFV object) Generate annotations for the given object.

Method parameters in org.openimaj.audio with type arguments of type DoubleFV

Modifier and Type	Method and Description
void	AudioAnnotator.train(Annotated<DoubleFV,String> annotated) Train/update object using a new instance.

Uses of DoubleFV in org.openimaj.audio.features

Methods in org.openimaj.audio.features that return DoubleFV

Modifier and Type	Method and Description
DoubleFV	JAudioFeatureExtractor.extractFeature(SampleChunk sc) Calculates the feature for each channel, then flattens the channel arrays into a single DoubleFV.

Uses of DoubleFV in org.openimaj.feature

Subclasses of DoubleFV in org.openimaj.feature

Modifier and Type	Class and Description
class	MultidimensionalDoubleFV Basic double multidimensional feature vector implementation

Methods in org.openimaj.feature that return DoubleFV

Modifier and Type	Method and Description
DoubleFV	SparseShortFV.asDoubleFV()
DoubleFV	SparseLongFV.asDoubleFV()
DoubleFV	SparseIntFV.asDoubleFV()
DoubleFV	SparseFloatFV.asDoubleFV()
DoubleFV	SparseDoubleFV.asDoubleFV()
DoubleFV	SparseByteFV.asDoubleFV()
DoubleFV	ShortFV.asDoubleFV() Convert the FV to a DoubleFV representation
DoubleFV	LongFV.asDoubleFV() Convert the FV to a DoubleFV representation
DoubleFV	IntFV.asDoubleFV() Convert the FV to a DoubleFV representation
DoubleFV	FloatFV.asDoubleFV() Convert the FV to a DoubleFV representation
DoubleFV	FeatureVector.asDoubleFV() Convert the FV to a DoubleFV representation
DoubleFV	EnumFV.asDoubleFV()
DoubleFV	DoubleFV.asDoubleFV() Convert the FV to a DoubleFV representation
DoubleFV	ByteFV.asDoubleFV() Convert the FV to a DoubleFV representation
DoubleFV	DoubleFV.clone()
DoubleFV	DoubleFV.concatenate(DoubleFV... ins)
DoubleFV	DoubleFV.concatenate(List<DoubleFV> ins)
DoubleFV	SparseShortFV.normaliseFV()
DoubleFV	SparseLongFV.normaliseFV()
DoubleFV	SparseIntFV.normaliseFV()
DoubleFV	SparseFloatFV.normaliseFV()
DoubleFV	SparseDoubleFV.normaliseFV()
DoubleFV	SparseByteFV.normaliseFV()
DoubleFV	ShortFV.normaliseFV() Normalise the FV to unit area.
DoubleFV	LongFV.normaliseFV() Normalise the FV to unit area.
DoubleFV	IntFV.normaliseFV() Normalise the FV to unit area.
DoubleFV	FloatFV.normaliseFV() Normalise the FV to unit area.
DoubleFV	FeatureVector.normaliseFV() Normalise the FV to unit length
DoubleFV	EnumFV.normaliseFV()
DoubleFV	DoubleFV.normaliseFV() Normalise the FV to unit area.
DoubleFV	ByteFV.normaliseFV() Normalise the FV to unit area.
DoubleFV	SparseShortFV.normaliseFV(double p)
DoubleFV	SparseLongFV.normaliseFV(double p)
DoubleFV	SparseIntFV.normaliseFV(double p)
DoubleFV	SparseFloatFV.normaliseFV(double p)
DoubleFV	SparseDoubleFV.normaliseFV(double p)
DoubleFV	SparseByteFV.normaliseFV(double p)
DoubleFV	ShortFV.normaliseFV(double p) Lp Norm of the FV.
DoubleFV	LongFV.normaliseFV(double p) Lp Norm of the FV.
DoubleFV	IntFV.normaliseFV(double p) Lp Norm of the FV.
DoubleFV	FloatFV.normaliseFV(double p) Lp Norm of the FV.
DoubleFV	FeatureVector.normaliseFV(double p) Lp Norm of the FV.
DoubleFV	EnumFV.normaliseFV(double p)
DoubleFV	DoubleFV.normaliseFV(double p) Lp Norm of the FV.
DoubleFV	ByteFV.normaliseFV(double p) Lp Norm of the FV.
DoubleFV	SparseShortFV.normaliseFV(double[] min, double[] max)
DoubleFV	SparseLongFV.normaliseFV(double[] min, double[] max)
DoubleFV	SparseIntFV.normaliseFV(double[] min, double[] max)
DoubleFV	SparseFloatFV.normaliseFV(double[] min, double[] max)
DoubleFV	SparseDoubleFV.normaliseFV(double[] min, double[] max)
DoubleFV	SparseByteFV.normaliseFV(double[] min, double[] max)
DoubleFV	ShortFV.normaliseFV(double[] min, double[] max) Element-wise normalisation to 0..1 using separated expected minimum and maximum values for each element of the underlying feature vector.
DoubleFV	LongFV.normaliseFV(double[] min, double[] max) Element-wise normalisation to 0..1 using separated expected minimum and maximum values for each element of the underlying feature vector.
DoubleFV	IntFV.normaliseFV(double[] min, double[] max) Element-wise normalisation to 0..1 using separated expected minimum and maximum values for each element of the underlying feature vector.
DoubleFV	FloatFV.normaliseFV(double[] min, double[] max) Element-wise normalisation to 0..1 using separated expected minimum and maximum values for each element of the underlying feature vector.
DoubleFV	FeatureVector.normaliseFV(double[] min, double[] max) Element-wise normalisation to 0..1 using separated expected minimum and maximum values for each element of the underlying feature vector.
DoubleFV	EnumFV.normaliseFV(double[] min, double[] max)
DoubleFV	DoubleFV.normaliseFV(double[] min, double[] max) Element-wise normalisation to 0..1 using separated expected minimum and maximum values for each element of the underlying feature vector.
DoubleFV	ByteFV.normaliseFV(double[] min, double[] max) Element-wise normalisation to 0..1 using separated expected minimum and maximum values for each element of the underlying feature vector.
DoubleFV	SparseShortFV.normaliseFV(double min, double max)
DoubleFV	SparseLongFV.normaliseFV(double min, double max)
DoubleFV	SparseIntFV.normaliseFV(double min, double max)
DoubleFV	SparseFloatFV.normaliseFV(double min, double max)
DoubleFV	SparseDoubleFV.normaliseFV(double min, double max)
DoubleFV	SparseByteFV.normaliseFV(double min, double max)
DoubleFV	ShortFV.normaliseFV(double min, double max) Min-Max normalisation of the FV.
DoubleFV	LongFV.normaliseFV(double min, double max) Min-Max normalisation of the FV.
DoubleFV	IntFV.normaliseFV(double min, double max) Min-Max normalisation of the FV.
DoubleFV	FloatFV.normaliseFV(double min, double max) Min-Max normalisation of the FV.
DoubleFV	FeatureVector.normaliseFV(double min, double max) Min-Max normalisation of the FV.
DoubleFV	EnumFV.normaliseFV(double min, double max)
DoubleFV	DoubleFV.normaliseFV(double min, double max) Min-Max normalisation of the FV.
DoubleFV	ByteFV.normaliseFV(double min, double max) Min-Max normalisation of the FV.
DoubleFV	DoubleFV.subvector(int beginIndex)
DoubleFV	DoubleFV.subvector(int beginIndex, int endIndex)

Methods in org.openimaj.feature with parameters of type DoubleFV

Modifier and Type	Method and Description
double	DoubleFVComparison.compare(DoubleFV h1, DoubleFV h2)
double	DoubleFV.compare(DoubleFV h, DoubleFVComparison method) Compare this FV to another with the given method.
DoubleFV	DoubleFV.concatenate(DoubleFV... ins)

Method parameters in org.openimaj.feature with type arguments of type DoubleFV

Modifier and Type	Method and Description
DoubleFV	DoubleFV.concatenate(List<DoubleFV> ins)

Uses of DoubleFV in org.openimaj.feature.conversion

Methods in org.openimaj.feature.conversion with parameters of type DoubleFV

Modifier and Type	Method and Description
static FloatFV	FVConverter.toFloatFV(DoubleFV fv) Convert a DoubleFV to a FloatFV.

Uses of DoubleFV in org.openimaj.image.analysis.algorithm

Methods in org.openimaj.image.analysis.algorithm that return DoubleFV

Modifier and Type	Method and Description
DoubleFV	EdgeDirectionCoherenceVector.EdgeDirectionCoherenceHistogram.asDoubleFV() Get the histogram (coherent followed by incoherent) as a double vector.
DoubleFV	EdgeDirectionCoherenceVector.getFeatureVector() Get the FeatureVector associated with this object.

Uses of DoubleFV in org.openimaj.image.annotation.evaluation.dataset

Methods in org.openimaj.image.annotation.evaluation.dataset that return DoubleFV

Modifier and Type	Method and Description
DoubleFV	Corel5kDataset.HistogramExtractor.extractFeature(org.openimaj.image.annotation.evaluation.dataset.ImageWrapper object)

Uses of DoubleFV in org.openimaj.image.connectedcomponent.proc

Methods in org.openimaj.image.connectedcomponent.proc that return DoubleFV

Modifier and Type	Method and Description
DoubleFV	HuMoments.getFeatureVector()
DoubleFV	ColourDescriptor.getFeatureVector()
DoubleFV	BoundaryDistanceDescriptor.getFeatureVector()
DoubleFV	BasicShapeDescriptor.getFeatureVector()
DoubleFV	AffineInvariantMoments.getFeatureVector()
abstract DoubleFV	BasicShapeDescriptor.BasicShapeDescriptorType.getFeatureVector(BasicShapeDescriptor desc) Create a @link{FeatureVector} representation of the specified description
abstract DoubleFV	ColourDescriptor.ColourDescriptorType.getFeatureVector(ColourDescriptor desc) Extract the feature for the given descriptor.

Uses of DoubleFV in org.openimaj.image.feature

Methods in org.openimaj.image.feature that return DoubleFV

Modifier and Type	Method and Description
DoubleFV	FImage2DoubleFV.extractFeature(FImage object)

Methods in org.openimaj.image.feature with parameters of type DoubleFV

Modifier and Type	Method and Description
FImage	DoubleFV2FImage.extractFeature(DoubleFV object)
static FImage	DoubleFV2FImage.extractFeature(DoubleFV fv, int width, int height) Transform a DoubleFV into an FImage.

Uses of DoubleFV in org.openimaj.image.feature.global

Methods in org.openimaj.image.feature.global that return DoubleFV

Modifier and Type	Method and Description
DoubleFV	YehBokehEstimator.getFeatureVector()
DoubleFV	WeberContrast.getFeatureVector()
DoubleFV	SharpPixelProportion.getFeatureVector()
DoubleFV	SharpnessVariation.getFeatureVector()
DoubleFV	Sharpness.getFeatureVector()
DoubleFV	SaturationVariation.getFeatureVector()
DoubleFV	Saturation.getFeatureVector()
DoubleFV	RuleOfThirds.getFeatureVector()
DoubleFV	ROIProportion.getFeatureVector()
DoubleFV	RMSContrast.getFeatureVector()
DoubleFV	RGBRMSContrast.getFeatureVector()
DoubleFV	Naturalness.getFeatureVector()
DoubleFV	ModifiedLuoSimplicity.getFeatureVector()
DoubleFV	LuoSimplicity.getFeatureVector()
DoubleFV	LRIntensityBalance.getFeatureVector()
DoubleFV	HueStats.getFeatureVector()
DoubleFV	HorizontalIntensityDistribution.getFeatureVector()
DoubleFV	ColourContrast.getFeatureVector()
DoubleFV	Colorfulness.getFeatureVector()
DoubleFV	AvgBrightness.getFeatureVector()

Uses of DoubleFV in org.openimaj.image.model

Methods in org.openimaj.image.model that return DoubleFV

Modifier and Type	Method and Description
DoubleFV	FisherImages.extractFeature(FImage object)
DoubleFV	EigenImages.extractFeature(FImage img)

Methods in org.openimaj.image.model with parameters of type DoubleFV

Modifier and Type	Method and Description
FImage	EigenImages.reconstruct(DoubleFV weights) Reconstruct an image from a weight vector

Uses of DoubleFV in org.openimaj.image.processing.face.detection

Methods in org.openimaj.image.processing.face.detection that return DoubleFV

Modifier and Type	Method and Description
DoubleFV	CLMDetectedFace.getPoseParameters() Get the parameters describing the pose of the face.
DoubleFV	CLMDetectedFace.getPoseShapeParameters() Get a vector describing the pose (pitch, yaw and roll only) and shape of the model.
DoubleFV	CLMDetectedFace.getShapeParameters() Get the parameters describing the shape model (i.e.

Uses of DoubleFV in org.openimaj.image.processing.face.feature

Methods in org.openimaj.image.processing.face.feature that return DoubleFV

Modifier and Type	Method and Description
DoubleFV	FisherFaceFeature.getFeatureVector()
DoubleFV	EigenFaceFeature.getFeatureVector()
DoubleFV	CLMShapeFeature.getFeatureVector()
DoubleFV	CLMPoseShapeFeature.getFeatureVector()
DoubleFV	CLMPoseFeature.getFeatureVector()

Constructors in org.openimaj.image.processing.face.feature with parameters of type DoubleFV

Constructor and Description
CLMPoseFeature(DoubleFV fv) Construct the CLMPoseFeature with the given feature vector.
CLMPoseShapeFeature(DoubleFV fv) Construct the CLMPoseShapeFeature with the given feature vector.
CLMShapeFeature(DoubleFV fv) Construct the CLMShapeFeature with the given feature vector.
EigenFaceFeature(DoubleFV fv) Construct the EigenFaceFeature with the given feature vector.
FisherFaceFeature(DoubleFV fv) Construct the FisherFaceFeature with the given feature vector.

Uses of DoubleFV in org.openimaj.lsh.functions

Methods in org.openimaj.lsh.functions with parameters of type DoubleFV

Modifier and Type	Method and Description
int	DoubleHashFunction.computeHashCode(DoubleFV feature) Compute the hash code for the feature vector.

Uses of DoubleFV in org.openimaj.math.statistics.distribution

Subclasses of DoubleFV in org.openimaj.math.statistics.distribution

Modifier and Type	Class and Description
class	Histogram Simple Histogram based on a DoubleFV.
class	MultidimensionalHistogram Simple Histogram based on a MultidimensionalDoubleFV.

Constructors in org.openimaj.math.statistics.distribution with parameters of type DoubleFV

Constructor and Description
Histogram(DoubleFV... hs) Construct a histogram by concatenating the given histograms

Uses of DoubleFV in org.openimaj.ml.clustering.spectral

Methods in org.openimaj.ml.clustering.spectral that return DoubleFV

Modifier and Type	Method and Description
DoubleFV	DummyExtractor.extractFeature(double[] object)

Constructor parameters in org.openimaj.ml.clustering.spectral with type arguments of type DoubleFV

Constructor and Description
DoubleFVSimilarityFunction(FeatureExtractor<DoubleFV,T> extractor)
NormalisedSimilarityDoubleClustererWrapper(FeatureExtractor<DoubleFV,T> extractor, double eps)
RBFSimilarityDoubleClustererWrapper(FeatureExtractor<DoubleFV,T> extractor)

Uses of DoubleFV in org.openimaj.ml.kernel

Methods in org.openimaj.ml.kernel that return DoubleFV

Modifier and Type	Method and Description
DoubleFV	HomogeneousKernelMap.evaluate(DoubleFV in) Compute the Homogeneous Kernel Map approximation of the given feature vector
DoubleFV	HomogeneousKernelMap.ExtractorWrapper.extractFeature(T object)

Methods in org.openimaj.ml.kernel that return types with arguments of type DoubleFV

Modifier and Type	Method and Description
<T> FeatureExtractor<DoubleFV,T>	HomogeneousKernelMap.createWrappedExtractor(FeatureExtractor<? extends FeatureVector,T> inner) Construct a new HomogeneousKernelMap.ExtractorWrapper that applies the map to features extracted by an internal extractor.

Methods in org.openimaj.ml.kernel with parameters of type DoubleFV

Modifier and Type	Method and Description
DoubleFV	HomogeneousKernelMap.evaluate(DoubleFV in) Compute the Homogeneous Kernel Map approximation of the given feature vector

Uses of DoubleFV in org.openimaj.ml.pca

Methods in org.openimaj.ml.pca that return DoubleFV

Modifier and Type	Method and Description
DoubleFV	FeatureVectorPCA.generate(DoubleFV scalings) Generate a new "observation" as a linear combination of the principal components (PC): mean + PC * scaling.
DoubleFV	FeatureVectorPCA.project(FeatureVector vector) Project a vector by the basis.

Methods in org.openimaj.ml.pca with parameters of type DoubleFV

Modifier and Type	Method and Description
DoubleFV	FeatureVectorPCA.generate(DoubleFV scalings) Generate a new "observation" as a linear combination of the principal components (PC): mean + PC * scaling.

Uses of DoubleFV in org.openimaj.text.nlp.sentiment.model.classifier

Methods in org.openimaj.text.nlp.sentiment.model.classifier that return DoubleFV

Modifier and Type	Method and Description
DoubleFV	GeneralSentimentFeatureExtractor.extractFeature(List<String> tokens)

Uses of DoubleFV in org.openimaj.video.processing.shotdetector

Methods in org.openimaj.video.processing.shotdetector that return DoubleFV

Modifier and Type	Method and Description
DoubleFV	VideoShotDetector.getDifferentials() Get the differentials between frames (if storeAllDiff is true).

Uses of DoubleFV in org.openimaj.vis.ternary

Subclasses of DoubleFV in org.openimaj.vis.ternary

Modifier and Type	Class and Description
static class	TernaryPlot.TernaryData Holds an a value for the 3 ternary dimensions and a value