Package | Description |
---|---|
org.openimaj.feature | |
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.lsh.functions | |
org.openimaj.pgm.util |
Modifier and Type | Method and Description |
---|---|
SparseIntFV |
SparseIntFV.concatenate(List<SparseIntFV> ins) |
SparseIntFV |
SparseIntFV.concatenate(SparseIntFV... ins) |
SparseIntFV |
SparseIntFV.newInstance() |
Modifier and Type | Method and Description |
---|---|
double |
SparseIntFVComparison.compare(SparseIntFV h1,
SparseIntFV h2) |
SparseIntFV |
SparseIntFV.concatenate(SparseIntFV... ins) |
Modifier and Type | Method and Description |
---|---|
SparseIntFV |
SparseIntFV.concatenate(List<SparseIntFV> ins) |
Modifier and Type | Method and Description |
---|---|
SparseIntFV |
BagOfVisualWords.aggregate(List<? extends LocalFeature<?,? extends ArrayFeatureVector<T>>> features) |
SparseIntFV |
BagOfVisualWords.aggregateVectors(List<? extends ArrayFeatureVector<T>> features) |
SparseIntFV |
BagOfVisualWords.aggregateVectorsRaw(List<T> features)
Aggregate the given features into a vector.
|
static <L extends Location> |
BagOfVisualWords.extractFeatureFromQuantised(Collection<? extends QuantisedLocalFeature<L>> qfeatures,
int nfeatures)
Utility method to quickly convert a collection of quantised local
features to a histogram of their corresponding visual word identifiers.
|
Modifier and Type | Method and Description |
---|---|
int |
IntHashFunction.computeHashCode(SparseIntFV feature)
Compute the hash code for the sparse feature vector.
|
Modifier and Type | Class and Description |
---|---|
class |
Document
A document is a bag of words
|