org.bytedeco.opencv.opencv_face

Class LBPHFaceRecognizer

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.opencv.opencv_core.Algorithm

org.bytedeco.opencv.opencv_face.FaceRecognizer

org.bytedeco.opencv.opencv_face.LBPHFaceRecognizer

All Implemented Interfaces:

AutoCloseable

@Namespace(value="cv::face")
 @Properties(inherit=opencv_face.class)
public class LBPHFaceRecognizer
extends FaceRecognizer

Nested Class Summary

Nested classes/interfaces inherited from class org.bytedeco.javacpp.Pointer

Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator, Pointer.ReferenceCounter

Field Summary

Fields inherited from class org.bytedeco.javacpp.Pointer

address, capacity, limit, position

Constructor Summary

Constructors

Constructor and Description
LBPHFaceRecognizer(Pointer p) Pointer cast constructor.

Method Summary

Modifier and Type	Method and Description
static LBPHFaceRecognizer	create()
static LBPHFaceRecognizer	create(int radius, int neighbors, int grid_x, int grid_y, double threshold)
int	getGridX()
int	getGridY()
MatVector	getHistograms()
Mat	getLabels()
int	getNeighbors()
int	getRadius()
double	getThreshold() \brief threshold parameter accessor - required for default BestMinDist collector
void	setGridX(int val) \copybrief getGridX @see getGridX
void	setGridY(int val) \copybrief getGridY @see getGridY
void	setNeighbors(int val) \copybrief getNeighbors @see getNeighbors
void	setRadius(int val) \copybrief getRadius @see getRadius
void	setThreshold(double val) \copybrief getThreshold @see getThreshold

Methods inherited from class org.bytedeco.opencv.opencv_face.FaceRecognizer

empty, getLabelInfo, getLabelsByString, getLabelsByString, predict_collect, predict_collect, predict_collect, predict_label, predict_label, predict_label, predict, predict, predict, predict, predict, predict, predict, predict, predict, read, read, read, setLabelInfo, setLabelInfo, train, train, train, train, train, train, train, train, train, update, update, update, update, update, update, update, update, update, write, write, write

Methods inherited from class org.bytedeco.opencv.opencv_core.Algorithm

clear, getDefaultName, position, save, save, write, write

Methods inherited from class org.bytedeco.javacpp.Pointer

address, asBuffer, asByteBuffer, availablePhysicalBytes, calloc, capacity, capacity, close, deallocate, deallocate, deallocateReferences, deallocator, deallocator, equals, fill, formatBytes, free, hashCode, isNull, isNull, limit, limit, malloc, maxBytes, maxPhysicalBytes, memchr, memcmp, memcpy, memmove, memset, offsetof, parseBytes, physicalBytes, position, put, realloc, referenceCount, releaseReference, retainReference, setNull, sizeof, toString, totalBytes, totalPhysicalBytes, withDeallocator, zero

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Constructor Detail

LBPHFaceRecognizer

public LBPHFaceRecognizer(Pointer p)

Pointer cast constructor. Invokes Pointer.Pointer(Pointer).

Method Detail

getGridX

public int getGridX()

See Also:

setGridX

setGridX

public void setGridX(int val)

\copybrief getGridX @see getGridX

getGridY

public int getGridY()

See Also:

setGridY

setGridY

public void setGridY(int val)

\copybrief getGridY @see getGridY

getRadius

public int getRadius()

See Also:

setRadius

setRadius

public void setRadius(int val)

\copybrief getRadius @see getRadius

getNeighbors

public int getNeighbors()

See Also:

setNeighbors

setNeighbors

public void setNeighbors(int val)

\copybrief getNeighbors @see getNeighbors

getThreshold

public double getThreshold()

Description copied from class: FaceRecognizer

\brief threshold parameter accessor - required for default BestMinDist collector

Overrides:

getThreshold in class FaceRecognizer

See Also:

setThreshold

setThreshold

public void setThreshold(double val)

\copybrief getThreshold @see getThreshold

Overrides:

setThreshold in class FaceRecognizer

getHistograms

@ByVal
public MatVector getHistograms()

getLabels

@ByVal
public Mat getLabels()

create

@opencv_core.Ptr
public static LBPHFaceRecognizer create(int radius,
                                                         int neighbors,
                                                         int grid_x,
                                                         int grid_y,
                                                         double threshold)

Parameters:

radius - The radius used for building the Circular Local Binary Pattern. The greater the radius, the smoother the image but more spatial information you can get.

neighbors - The number of sample points to build a Circular Local Binary Pattern from. An appropriate value is to use 8 sample points. Keep in mind: the more sample points you include, the higher the computational cost.

grid_x - The number of cells in the horizontal direction, 8 is a common value used in publications. The more cells, the finer the grid, the higher the dimensionality of the resulting feature vector.

grid_y - The number of cells in the vertical direction, 8 is a common value used in publications. The more cells, the finer the grid, the higher the dimensionality of the resulting feature vector.

threshold - The threshold applied in the prediction. If the distance to the nearest neighbor is larger than the threshold, this method returns -1.

### Notes:

- The Circular Local Binary Patterns (used in training and prediction) expect the data given as grayscale images, use cvtColor to convert between the color spaces. - This model supports updating.

### Model internal data:

- radius see LBPHFaceRecognizer::create. - neighbors see LBPHFaceRecognizer::create. - grid_x see LLBPHFaceRecognizer::create. - grid_y see LBPHFaceRecognizer::create. - threshold see LBPHFaceRecognizer::create. - histograms Local Binary Patterns Histograms calculated from the given training data (empty if none was given). - labels Labels corresponding to the calculated Local Binary Patterns Histograms.

create

@opencv_core.Ptr
public static LBPHFaceRecognizer create()