| Modifier and Type | Class and Description |
|---|---|
class |
LocalFeatureListIndex<K extends ReadWriteable,V extends LocalFeature<?,?>>
LocalFeatureListIndex is a @{link ReadWriteable} map of keys to local feature
lists.
|
| Modifier and Type | Class and Description |
|---|---|
class |
TimeFrequencyHolder
A
ReadWriteableBinary TLongObjectHashMap |
static class |
TimeFrequencyHolder.TimeFrequency
Holds the number of a thing at a moment in time and the total number of
that thing seen across all time
|
| Modifier and Type | Class and Description |
|---|---|
class |
TimeperiodTweetCountWordCount
Class encapsulating a number of tweets across which certain words were seen
|
class |
TweetCountWordMap
Class encapsulating a number of tweets across which certain words were seen
|
| Modifier and Type | Class and Description |
|---|---|
class |
EigenImages
Implementation of EigenImages.
|
class |
FisherImages
Implementation of Fisher Images (aka "FisherFaces").
|
| Modifier and Type | Interface and Description |
|---|---|
interface |
FaceAligner<T extends DetectedFace>
A FaceAligner produces aligned face patches (i.e.
|
| Modifier and Type | Class and Description |
|---|---|
class |
AffineAligner
The
AffineAligner attempts to find an affine transform that will warp
the face to the canonical frame by aligning facial keypoints. |
class |
CLMAligner
An aligner that warps a
CLMDetectedFace to the neutral pose
(reference shape) of the CLMFaceDetector.Configuration. |
class |
IdentityAligner<T extends DetectedFace>
A FaceAligner that does nothing, and just passes on the patch from the
DetectedFace.
|
class |
MeshWarpAligner
A MeshWarpAligner aligns facial images using a piecewise mesh warping such
that all detected facial keypoints are moved to their canonical coordinates.
|
class |
RotateScaleAligner
Attempt to align a face by rotating and scaling it.
|
class |
ScalingAligner<T extends DetectedFace>
A FaceAligner that just scales the face patch held with the
DetectedFace to a predefined size. |
| Modifier and Type | Interface and Description |
|---|---|
interface |
FaceDetector<T extends DetectedFace,I extends Image<?,I>>
Interfaces for classes that are capable of detecting faces.
|
| Modifier and Type | Class and Description |
|---|---|
class |
CCDetectedFace
A
DetectedFace that is represented/detected by a
ConnectedComponent. |
class |
CLMDetectedFace
A constrained local model detected face.
|
class |
CLMFaceDetector
Face detector based on a constrained local model.
|
class |
DetectedFace
A DetectedFace models a face detected by a face detector, together with the
locations of certain facial features localised on the face.
|
class |
EllipticalDetectedFace
An extension of a
DetectedFace that represents the detection by an
ellipse. |
class |
HaarCascadeDetector
A face detector based on a Haar cascade.
|
class |
IdentityFaceDetector<IMAGE extends Image<?,IMAGE>>
A face detector that does nothing other than wrap the input image in a single
DetectedFace object. |
class |
SandeepFaceDetector
Implementation of a face detector along the lines of
"Human Face Detection in Cluttered Color Images Using Skin Color and Edge Information"
K.
|
| Modifier and Type | Class and Description |
|---|---|
class |
FacialKeypoint
A
FacialKeypoint represents a keypoint on a face. |
class |
FKEFaceDetector
F(rontal)K(eypoint)E(nriched)FaceDetector uses an underlying face detector to
detect frontal faces in an image, and then looks for facial keypoints within
the detections.
|
class |
KEDetectedFace
A K(eypoint)E(nriched)DetectedFace models a face detected by a face detector,
together with the locations of certain facial features localised on the face.
|
| Modifier and Type | Interface and Description |
|---|---|
interface |
FacialFeature
A FacialFeature is a feature describing a face that has
been detected.
|
interface |
FacialFeatureExtractor<T extends FacialFeature,Q extends DetectedFace>
Interface for factory objects capable of extracting a
FacialFeature
from a DetectedFace. |
| Modifier and Type | Class and Description |
|---|---|
class |
CLMPoseFeature
A feature-vector that describes the pose of a face in 3D space in terms of
its pitch, yaw and roll.
|
static class |
CLMPoseFeature.Extractor
A
FacialFeatureExtractor for providing CLMPoseFeatures. |
class |
CLMPoseShapeFeature
A feature-vector that describes the pose and shape of a face.
|
static class |
CLMPoseShapeFeature.Extractor
A
FacialFeatureExtractor for providing
CLMPoseShapeFeatures. |
class |
CLMShapeFeature
A feature-vector that describes the shape of a face through a list of
eigen-weights on a point distribution model.
|
static class |
CLMShapeFeature.Extractor
A
FacialFeatureExtractor for providing CLMShapeFeatures. |
class |
DoGSIFTFeature
A
FacialFeature that uses DoG-SIFT features to
describe a face. |
static class |
DoGSIFTFeature.Extractor
A
FacialFeatureExtractor for producing DoGSIFTFeatures |
class |
EigenFaceFeature
A
FacialFeature for EigenFaces. |
static class |
EigenFaceFeature.Extractor<T extends DetectedFace>
A
FacialFeatureExtractor for producing EigenFaces. |
class |
FaceImageFeature
A
FacialFeature that is just the pixel values
of a (possibly aligned) face detection. |
static class |
FaceImageFeature.Extractor<T extends DetectedFace>
A
FacialFeatureExtractor for producing FaceImageFeatures. |
class |
FacePatchFeature
A
FacialFeature that is built by concatenating
each of the normalised facial part patches from a detected
face. |
static class |
FacePatchFeature.DetectedFacePart
A
FacialKeypoint with an associated feature |
static class |
FacePatchFeature.Extractor
A
FacialFeatureExtractor for producing FacialFeatures |
class |
FisherFaceFeature
A
FacialFeature for FisherFaces. |
static class |
FisherFaceFeature.Extractor<T extends DetectedFace>
A
FacialFeatureExtractor for producing FisherFaces. |
class |
LocalLBPHistogram
A
FacialFeature built from decomposing the face image into
(non-overlapping) blocks and building histograms of the
ExtendedLocalBinaryPatterns for each block and then concatenating to
form the final feature. |
static class |
LocalLBPHistogram.Extractor<T extends DetectedFace>
A
FacialFeatureExtractor for building LocalLBPHistograms. |
| Modifier and Type | Interface and Description |
|---|---|
interface |
FacialFeatureComparator<T extends FacialFeature>
Interface for classes capable of comparing two
FacialFeatures
and producing a score. |
| Modifier and Type | Class and Description |
|---|---|
class |
DoGSIFTFeatureComparator
A
FacialFeatureComparator for comparing DoGSIFTFeatures. |
class |
FaceFVComparator<T extends FacialFeature & FeatureVectorProvider<Q>,Q extends FeatureVector>
A generic
FacialFeatureComparator for FacialFeatures that can
provide FeatureVectors through the FeatureVectorProvider
interface. |
class |
LtpDtFeatureComparator
A comparator for Local Trinary Pattern Features using a
Euclidean distance transform.
|
class |
ReversedLtpDtFeatureComparator
A comparator for Local Trinary Pattern Features using a
Euclidean distance transform.
|
| Modifier and Type | Interface and Description |
|---|---|
interface |
LTPWeighting |
| Modifier and Type | Class and Description |
|---|---|
class |
AbstractLtpDtFeature
Base class for LTP based features using a
truncated Euclidean distance transform
to estimate the distances within each slice.
|
class |
GaussianWeighting
A Gaussian
LTPWeighting function. |
class |
LtpDtFeature
The LTP based feature using a truncated Euclidean distance transform
to estimate the distances within each slice.
|
static class |
LtpDtFeature.Extractor<Q extends DetectedFace>
A
FacialFeatureExtractor for extracting LtpDtFeatures. |
class |
TruncatedWeighting
A truncated weighting scheme which cuts-off distances
beyond a threshold.
|
| Modifier and Type | Class and Description |
|---|---|
class |
AnnotatorFaceRecogniser<FACE extends DetectedFace,PERSON>
A
FaceRecogniser built on top of an IncrementalAnnotator. |
class |
EigenFaceRecogniser<FACE extends DetectedFace,PERSON>
Implementation of a
FaceRecogniser based on Eigenfaces. |
class |
FaceRecogniser<FACE extends DetectedFace,PERSON>
Base class for all Face Recognisers.
|
class |
FaceRecognitionEngine<FACE extends DetectedFace,PERSON>
The
FaceRecognitionEngine ties together the implementations of a
FaceDetector and FaceRecogniser, and provides a single
convenience API with which to interact with a face recognition system. |
class |
FisherFaceRecogniser<FACE extends DetectedFace,PERSON>
Implementation of a
FaceRecogniser based on Fisherfaces. |
| Modifier and Type | Class and Description |
|---|---|
static class |
MultiTracker.TrackedFace
Encapsulates the variables for a single tracked face.
|
| Modifier and Type | Interface and Description |
|---|---|
interface |
CachableBinary
A
Cachable that is capable of being read/written as Binary. |
| Modifier and Type | Class and Description |
|---|---|
class |
ReadWritableIndependentPair<A,B>
Base class for writing any independent pair.
|
| Modifier and Type | Class and Description |
|---|---|
class |
IncrementalByteADCNearestNeighbours
Incremental Nearest-neighbours using Asymmetric Distance Computation (ADC)
on Product Quantised vectors.
|
class |
IncrementalDoubleADCNearestNeighbours
Incremental Nearest-neighbours using Asymmetric Distance Computation (ADC)
on Product Quantised vectors.
|
class |
IncrementalFloatADCNearestNeighbours
Incremental Nearest-neighbours using Asymmetric Distance Computation (ADC)
on Product Quantised vectors.
|
class |
IncrementalIntADCNearestNeighbours
Incremental Nearest-neighbours using Asymmetric Distance Computation (ADC)
on Product Quantised vectors.
|
class |
IncrementalLongADCNearestNeighbours
Incremental Nearest-neighbours using Asymmetric Distance Computation (ADC)
on Product Quantised vectors.
|
class |
IncrementalShortADCNearestNeighbours
Incremental Nearest-neighbours using Asymmetric Distance Computation (ADC)
on Product Quantised vectors.
|
| Modifier and Type | Class and Description |
|---|---|
class |
BilinearSparseFISTALearner |
class |
BilinearSparseOnlineLearner
An implementation of a stochastic gradient decent with proximal perameter adjustment
(for regularised parameters).
|
class |
BilinearUnmixedSparseOnlineLearner
An implementation of a stochastic gradient decent with proximal parameter
adjustment (for regularised parameters).
|
| Modifier and Type | Class and Description |
|---|---|
class |
MatlibBilinearSparseOnlineLearner
An implementation of a stochastic gradient decent with proximal perameter adjustment
(for regularised parameters).
|
| Modifier and Type | Class and Description |
|---|---|
class |
LanguageModel
The data used by
LanguageDetector |
| Modifier and Type | Class and Description |
|---|---|
class |
SampleBatch
A batch of samples
|