Package | Description |
---|---|
org.openimaj.feature | |
org.openimaj.feature.conversion | |
org.openimaj.feature.local | |
org.openimaj.feature.normalisation | |
org.openimaj.image.feature | |
org.openimaj.image.feature.dense.binarypattern | |
org.openimaj.image.feature.dense.gradient.dsift | |
org.openimaj.image.feature.global | |
org.openimaj.image.feature.local.aggregate |
Implementations of techniques that aggregate the local descriptors
of an image into a single (typically fixed length) vector
representation.
|
org.openimaj.image.feature.local.detector.dog.extractor | |
org.openimaj.image.feature.local.keypoints | |
org.openimaj.image.processing.convolution.filterbank | |
org.openimaj.image.processing.face.feature |
The feature package contains implementations of features
that can describe a face.
|
org.openimaj.lsh.functions |
Modifier and Type | Class and Description |
---|---|
class |
MultidimensionalFloatFV
Basic float multidimensional feature vector implementation
|
Modifier and Type | Method and Description |
---|---|
FloatFV |
FloatFV.clone() |
FloatFV |
FloatFV.concatenate(FloatFV... ins) |
FloatFV |
FloatFV.concatenate(List<FloatFV> ins) |
FloatFV |
FloatFV.newInstance() |
FloatFV |
FloatFV.subvector(int beginIndex) |
FloatFV |
FloatFV.subvector(int beginIndex,
int endIndex) |
Modifier and Type | Method and Description |
---|---|
double |
FloatFVComparison.compare(FloatFV h1,
FloatFV h2) |
double |
FloatFV.compare(FloatFV h,
FloatFVComparison method)
Compare this FV to another with the given method.
|
FloatFV |
FloatFV.concatenate(FloatFV... ins) |
Modifier and Type | Method and Description |
---|---|
FloatFV |
FloatFV.concatenate(List<FloatFV> ins) |
Modifier and Type | Method and Description |
---|---|
static FloatFV |
FVConverter.toFloatFV(DoubleFV fv)
|
static FloatFV |
FVConverter.toFloatFV(FeatureVector fv)
|
Modifier and Type | Method and Description |
---|---|
FloatFV |
FloatLocalFeatureAdaptor.getFeatureVector() |
Modifier and Type | Method and Description |
---|---|
static <L extends Location> |
FloatLocalFeatureAdaptor.wrap(List<? extends LocalFeature<L,?>> list,
Normaliser<FloatFV> normaliser)
Produce a
LocalFeatureList of FloatLocalFeatureAdaptor by
wrapping the input list, and dynamically wrapping with the
FloatLocalFeatureAdaptor s on demand. |
static List<FloatLocalFeatureAdaptor<?>> |
FloatLocalFeatureAdaptor.wrapUntyped(List<? extends LocalFeature<?,?>> list,
Normaliser<FloatFV> normaliser)
Produce a
LocalFeatureList of FloatLocalFeatureAdaptor by
wrapping the input list, and dynamically wrapping with the
FloatLocalFeatureAdaptor s on demand. |
Constructor and Description |
---|
FloatLocalFeatureAdaptor(LocalFeature<L,?> localFeature,
Normaliser<FloatFV> normaliser)
Construct a new
FloatLocalFeatureAdaptor with the given
underlying feature and normaliser. |
Modifier and Type | Method and Description |
---|---|
void |
HellingerNormaliser.normalise(FloatFV feature) |
Modifier and Type | Method and Description |
---|---|
FloatFV |
FImage2FloatFV.extractFeature(FImage object) |
Modifier and Type | Method and Description |
---|---|
FImage |
FloatFV2FImage.extractFeature(FloatFV object) |
static FImage |
FloatFV2FImage.extractFeature(FloatFV fv,
int width,
int height)
|
Modifier and Type | Method and Description |
---|---|
FloatFV |
LocalUniformBinaryPatternHistogram.getHistogram()
Get the histograms as a single
FloatFV . |
FloatFV[][] |
LocalUniformBinaryPatternHistogram.getHistograms()
Get the histograms
|
Modifier and Type | Method and Description |
---|---|
FloatFV |
FloatDSIFTKeypoint.getFeatureVector() |
Modifier and Type | Field and Description |
---|---|
protected FloatFV |
Gist.response |
Modifier and Type | Method and Description |
---|---|
FloatFV |
Gist.getResponse()
Get the response vector from the previous call to
Gist.analyseImage(Image) . |
Modifier and Type | Method and Description |
---|---|
FloatFV |
FisherVector.aggregate(List<? extends LocalFeature<?,? extends ArrayFeatureVector<T>>> features) |
FloatFV |
FisherVector.aggregateVectors(List<? extends ArrayFeatureVector<T>> features) |
Modifier and Type | Method and Description |
---|---|
FloatFV[] |
AbstractDominantOrientationExtractor.extractFeature(GradientScaleSpaceImageExtractorProperties<FImage> props)
Find the dominant orientations
|
FloatFV[] |
OrientationHistogramExtractor.extractFeature(GradientScaleSpaceImageExtractorProperties<FImage> props)
Extract the orientation histogram given the properties.
|
Modifier and Type | Method and Description |
---|---|
FloatFV |
FloatKeypoint.getFeatureVector() |
Modifier and Type | Method and Description |
---|---|
FloatFV |
FilterBank.getResponseFV(int x,
int y)
Get the response vector for a given pixel as a
FloatFV . |
Modifier and Type | Field and Description |
---|---|
protected FloatFV |
FacePatchFeature.featureVector |
Modifier and Type | Method and Description |
---|---|
protected FloatFV |
FacePatchFeature.createFeatureVector() |
FloatFV |
LocalLBPHistogram.getFeatureVector() |
FloatFV |
FacePatchFeature.getFeatureVector() |
FloatFV |
FaceImageFeature.getFeatureVector() |
Constructor and Description |
---|
FaceImageFeature(FloatFV feature)
Construct with the given feature
|
Modifier and Type | Method and Description |
---|---|
int |
FloatHashFunction.computeHashCode(FloatFV feature)
Compute the hash code for the feature vector.
|