org.bytedeco.javacpp

Class opencv_core.LDA

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.opencv_core.LDA

All Implemented Interfaces:

AutoCloseable

Enclosing class:

opencv_core

@Namespace(value="cv")
@NoOffset
public static class opencv_core.LDA
extends Pointer

\brief Linear Discriminant Analysis \todo document this class

Nested Class Summary

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

Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator

Field Summary

Fields inherited from class org.bytedeco.javacpp.Pointer

address, capacity, limit, position

Constructor Summary

Constructors

Constructor and Description
opencv_core.LDA()
opencv_core.LDA(int num_components) \brief constructor Initializes a LDA with num_components (default 0).
opencv_core.LDA(long size) Native array allocator.
opencv_core.LDA(opencv_core.MatVector src, opencv_core.Mat labels)
opencv_core.LDA(opencv_core.MatVector src, opencv_core.Mat labels, int num_components) Initializes and performs a Discriminant Analysis with Fisher's Optimization Criterion on given data in src and corresponding labels in labels.
opencv_core.LDA(Pointer p) Pointer cast constructor.

Method Summary

Methods

Modifier and Type	Method and Description
void	compute(opencv_core.MatVector src, opencv_core.Mat labels) Compute the discriminants for data in src (row aligned) and labels.
opencv_core.Mat	eigenvalues() Returns the eigenvalues of this LDA.
opencv_core.Mat	eigenvectors() Returns the eigenvectors of this LDA.
void	load(BytePointer filename) Deserializes this object from a given filename.
void	load(opencv_core.FileStorage node) Deserializes this object from a given cv::FileStorage.
void	load(String filename)
opencv_core.LDA	position(long position)
opencv_core.Mat	project(opencv_core.Mat src) Projects samples into the LDA subspace.
opencv_core.Mat	reconstruct(opencv_core.Mat src) Reconstructs projections from the LDA subspace.
void	save(BytePointer filename) Serializes this object to a given filename.
void	save(opencv_core.FileStorage fs) Serializes this object to a given cv::FileStorage.
void	save(String filename)
static opencv_core.Mat	subspaceProject(opencv_core.Mat W, opencv_core.Mat mean, opencv_core.Mat src)
static opencv_core.Mat	subspaceReconstruct(opencv_core.Mat W, opencv_core.Mat mean, opencv_core.Mat src)

Methods inherited from class org.bytedeco.javacpp.Pointer

address, asBuffer, asByteBuffer, capacity, capacity, close, deallocate, deallocate, deallocateReferences, deallocator, deallocator, equals, fill, hashCode, isNull, limit, limit, maxBytes, memchr, memcmp, memcpy, memmove, memset, offsetof, position, put, setNull, sizeof, toString, totalBytes, withDeallocator, zero

Methods inherited from class java.lang.Object

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

Constructor Detail

opencv_core.LDA

public opencv_core.LDA(Pointer p)

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

opencv_core.LDA

public opencv_core.LDA(long size)

Native array allocator. Access with Pointer.position(long).

opencv_core.LDA

public opencv_core.LDA(int num_components)

\brief constructor Initializes a LDA with num_components (default 0).

opencv_core.LDA

public opencv_core.LDA()

opencv_core.LDA

public opencv_core.LDA(@ByVal
               opencv_core.MatVector src,
               @ByVal
               opencv_core.Mat labels,
               int num_components)

Initializes and performs a Discriminant Analysis with Fisher's Optimization Criterion on given data in src and corresponding labels in labels. If 0 (or less) number of components are given, they are automatically determined for given data in computation.

opencv_core.LDA

public opencv_core.LDA(@ByVal
               opencv_core.MatVector src,
               @ByVal
               opencv_core.Mat labels)

Method Detail

position

public opencv_core.LDA position(long position)

Overrides:

position in class Pointer

save

public void save(@opencv_core.Str
        BytePointer filename)

Serializes this object to a given filename.

save

public void save(@opencv_core.Str
        String filename)

load

public void load(@opencv_core.Str
        BytePointer filename)

Deserializes this object from a given filename.

load

public void load(@opencv_core.Str
        String filename)

save

public void save(@ByRef
        opencv_core.FileStorage fs)

Serializes this object to a given cv::FileStorage.

load

public void load(@Const@ByRef
        opencv_core.FileStorage node)

Deserializes this object from a given cv::FileStorage.

compute

public void compute(@ByVal
           opencv_core.MatVector src,
           @ByVal
           opencv_core.Mat labels)

Compute the discriminants for data in src (row aligned) and labels.

project

@ByVal
public opencv_core.Mat project(@ByVal
                            opencv_core.Mat src)

Projects samples into the LDA subspace. src may be one or more row aligned samples.

reconstruct

@ByVal
public opencv_core.Mat reconstruct(@ByVal
                                opencv_core.Mat src)

Reconstructs projections from the LDA subspace. src may be one or more row aligned projections.

eigenvectors

@ByVal
public opencv_core.Mat eigenvectors()

Returns the eigenvectors of this LDA.

eigenvalues

@ByVal
public opencv_core.Mat eigenvalues()

Returns the eigenvalues of this LDA.

subspaceProject

@ByVal
public static opencv_core.Mat subspaceProject(@ByVal
                                    opencv_core.Mat W,
                                    @ByVal
                                    opencv_core.Mat mean,
                                    @ByVal
                                    opencv_core.Mat src)

subspaceReconstruct

@ByVal
public static opencv_core.Mat subspaceReconstruct(@ByVal
                                        opencv_core.Mat W,
                                        @ByVal
                                        opencv_core.Mat mean,
                                        @ByVal
                                        opencv_core.Mat src)