Package org.opencv.ximgproc

Class EdgeAwareInterpolator

java.lang.Object

org.opencv.core.Algorithm

org.opencv.ximgproc.SparseMatchInterpolator

org.opencv.ximgproc.EdgeAwareInterpolator

public class EdgeAwareInterpolator
extends SparseMatchInterpolator

Sparse match interpolation algorithm based on modified locally-weighted affine estimator from CITE: Revaud2015 and Fast Global Smoother as post-processing filter.

Field Summary

Fields inherited from class org.opencv.core.Algorithm

nativeObj

Constructor Summary

Constructors

Modifier	Constructor	Description
protected	EdgeAwareInterpolator(long addr)

Method Summary

Modifier and Type	Method	Description
static EdgeAwareInterpolator	__fromPtr__(long addr)
protected void	finalize()
float	getFGSLambda()	SEE: setFGSLambda
float	getFGSSigma()	SEE: setFGSLambda
int	getK()	SEE: setK
float	getLambda()	SEE: setLambda
float	getSigma()	SEE: setSigma
boolean	getUsePostProcessing()	SEE: setUsePostProcessing
void	setFGSLambda(float _lambda)	Sets the respective fastGlobalSmootherFilter() parameter.
void	setFGSSigma(float _sigma)	SEE: setFGSLambda
void	setK(int _k)	K is a number of nearest-neighbor matches considered, when fitting a locally affine model.
void	setLambda(float _lambda)	Lambda is a parameter defining the weight of the edge-aware term in geodesic distance, should be in the range of 0 to 1000.
void	setSigma(float _sigma)	Sigma is a parameter defining how fast the weights decrease in the locally-weighted affine fitting.
void	setUsePostProcessing(boolean _use_post_proc)	Sets whether the fastGlobalSmootherFilter() post-processing is employed.

Methods inherited from class org.opencv.ximgproc.SparseMatchInterpolator

interpolate

Methods inherited from class org.opencv.core.Algorithm

clear, empty, getDefaultName, getNativeObjAddr, save

Methods inherited from class java.lang.Object

clone, equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

EdgeAwareInterpolator

protected EdgeAwareInterpolator(long addr)

Method Detail

__fromPtr__

public static EdgeAwareInterpolator __fromPtr__(long addr)

setK

public void setK(int _k)

K is a number of nearest-neighbor matches considered, when fitting a locally affine model. Usually it should be around 128. However, lower values would make the interpolation noticeably faster.

Parameters:

_k - automatically generated

getK

public int getK()

SEE: setK

Returns:

automatically generated

setSigma

public void setSigma(float _sigma)

Sigma is a parameter defining how fast the weights decrease in the locally-weighted affine fitting. Higher values can help preserve fine details, lower values can help to get rid of noise in the output flow.

Parameters:

_sigma - automatically generated

getSigma

public float getSigma()

SEE: setSigma

Returns:

automatically generated

setLambda

public void setLambda(float _lambda)

Lambda is a parameter defining the weight of the edge-aware term in geodesic distance, should be in the range of 0 to 1000.

Parameters:

_lambda - automatically generated

getLambda

public float getLambda()

SEE: setLambda

Returns:

automatically generated

setUsePostProcessing

public void setUsePostProcessing(boolean _use_post_proc)

Sets whether the fastGlobalSmootherFilter() post-processing is employed. It is turned on by default.

Parameters:

_use_post_proc - automatically generated

getUsePostProcessing

public boolean getUsePostProcessing()

SEE: setUsePostProcessing

Returns:

automatically generated

setFGSLambda

public void setFGSLambda(float _lambda)

Sets the respective fastGlobalSmootherFilter() parameter.

Parameters:

_lambda - automatically generated

getFGSLambda

public float getFGSLambda()

SEE: setFGSLambda

Returns:

automatically generated

setFGSSigma

public void setFGSSigma(float _sigma)

SEE: setFGSLambda

Parameters:

_sigma - automatically generated

getFGSSigma

public float getFGSSigma()

SEE: setFGSLambda

Returns:

automatically generated

finalize

protected void finalize()
                 throws java.lang.Throwable

Overrides:

finalize in class SparseMatchInterpolator

Throws:

java.lang.Throwable