org.bytedeco.opencv.opencv_calib3d

Class LMSolver

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.opencv.opencv_core.Algorithm

org.bytedeco.opencv.opencv_calib3d.LMSolver

All Implemented Interfaces:

AutoCloseable

@Namespace(value="cv")
 @Properties(inherit=opencv_calib3d.class)
public class LMSolver
extends Algorithm

Levenberg-Marquardt solver. Starting with the specified vector of parameters it optimizes the target vector criteria "err" (finds local minima of each target vector component absolute value).

When needed, it calls user-provided callback.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	LMSolver.Callback

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
LMSolver(Algorithm pointer) Downcast constructor.
LMSolver(Pointer p) Pointer cast constructor.

Method Summary

Modifier and Type	Method and Description
Algorithm	asAlgorithm()
static Algorithm	asAlgorithm(LMSolver pointer)
static LMSolver	create(LMSolver.Callback cb, int maxIters) Creates Levenberg-Marquard solver
static LMSolver	create(LMSolver.Callback cb, int maxIters, double eps)
int	getMaxIters() Retrieves the current maximum number of iterations
int	run(GpuMat param)
int	run(Mat param) Runs Levenberg-Marquardt algorithm using the passed vector of parameters as the start point.
int	run(UMat param)
void	setMaxIters(int maxIters) Sets the maximum number of iterations

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

clear, empty, getDefaultName, getPointer, position, read, save, save, write, 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, getDirectBufferAddress, getPointer, getPointer, getPointer, hashCode, interruptDeallocatorThread, isNull, isNull, limit, limit, malloc, maxBytes, maxPhysicalBytes, memchr, memcmp, memcpy, memmove, memset, offsetAddress, offsetof, offsetof, parseBytes, physicalBytes, physicalBytesInaccurate, position, put, realloc, referenceCount, releaseReference, retainReference, setNull, sizeof, sizeof, toString, totalBytes, totalCount, totalPhysicalBytes, withDeallocator, zero

Methods inherited from class java.lang.Object

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

Constructor Detail

LMSolver

public LMSolver(Pointer p)

Pointer cast constructor. Invokes Pointer(Pointer).

LMSolver

public LMSolver(Algorithm pointer)

Downcast constructor.

Method Detail

asAlgorithm

public Algorithm asAlgorithm()

Overrides:

asAlgorithm in class Algorithm

asAlgorithm

@Namespace
 @Name(value="static_cast<cv::Algorithm*>")
public static Algorithm asAlgorithm(LMSolver pointer)

run

public int run(@ByVal
               Mat param)

Runs Levenberg-Marquardt algorithm using the passed vector of parameters as the start point. The final vector of parameters (whether the algorithm converged or not) is stored at the same vector. The method returns the number of iterations used. If it's equal to the previously specified maxIters, there is a big chance the algorithm did not converge.

Parameters:

param - initial/final vector of parameters.

Note that the dimensionality of parameter space is defined by the size of param vector, and the dimensionality of optimized criteria is defined by the size of err vector computed by the callback.

run

public int run(@ByVal
               UMat param)

run

public int run(@ByVal
               GpuMat param)

setMaxIters

public void setMaxIters(int maxIters)

Sets the maximum number of iterations

Parameters:

maxIters - the number of iterations

getMaxIters

public int getMaxIters()

Retrieves the current maximum number of iterations

create

@opencv_core.Ptr
public static LMSolver create(@opencv_core.Ptr
                                                LMSolver.Callback cb,
                                                int maxIters)

Creates Levenberg-Marquard solver

Parameters:

cb - callback

maxIters - maximum number of iterations that can be further modified using setMaxIters() method.

create

@opencv_core.Ptr
public static LMSolver create(@opencv_core.Ptr
                                                LMSolver.Callback cb,
                                                int maxIters,
                                                double eps)