org.opencv.ximgproc

Class DisparityWLSFilter

java.lang.Object

org.opencv.core.Algorithm

org.opencv.ximgproc.DisparityFilter

org.opencv.ximgproc.DisparityWLSFilter

public class DisparityWLSFilter
extends DisparityFilter

Disparity map filter based on Weighted Least Squares filter (in form of Fast Global Smoother that is a lot faster than traditional Weighted Least Squares filter implementations) and optional use of left-right-consistency-based confidence to refine the results in half-occlusions and uniform areas.

Field Summary

Fields inherited from class org.opencv.core.Algorithm

nativeObj

Constructor Summary

Constructors

Modifier	Constructor and Description
protected	DisparityWLSFilter(long addr)

Method Summary

Modifier and Type	Method and Description
static DisparityWLSFilter	__fromPtr__(long addr)
protected void	finalize()
Mat	getConfidenceMap() Get the confidence map that was used in the last filter call.
int	getDepthDiscontinuityRadius() DepthDiscontinuityRadius is a parameter used in confidence computation.
double	getLambda() Lambda is a parameter defining the amount of regularization during filtering.
int	getLRCthresh() LRCthresh is a threshold of disparity difference used in left-right-consistency check during confidence map computation.
Rect	getROI() Get the ROI used in the last filter call
double	getSigmaColor() SigmaColor is a parameter defining how sensitive the filtering process is to source image edges.
void	setDepthDiscontinuityRadius(int _disc_radius) SEE: getDepthDiscontinuityRadius
void	setLambda(double _lambda) SEE: getLambda
void	setLRCthresh(int _LRC_thresh) SEE: getLRCthresh
void	setSigmaColor(double _sigma_color) SEE: getSigmaColor

Methods inherited from class org.opencv.ximgproc.DisparityFilter

filter, filter, filter, filter

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

DisparityWLSFilter

protected DisparityWLSFilter(long addr)

Method Detail

__fromPtr__

public static DisparityWLSFilter __fromPtr__(long addr)

getLambda

public double getLambda()

Lambda is a parameter defining the amount of regularization during filtering. Larger values force filtered disparity map edges to adhere more to source image edges. Typical value is 8000.

Returns:

automatically generated

setLambda

public void setLambda(double _lambda)

SEE: getLambda

Parameters:

_lambda - automatically generated

getSigmaColor

public double getSigmaColor()

SigmaColor is a parameter defining how sensitive the filtering process is to source image edges. Large values can lead to disparity leakage through low-contrast edges. Small values can make the filter too sensitive to noise and textures in the source image. Typical values range from 0.8 to 2.0.

Returns:

automatically generated

setSigmaColor

public void setSigmaColor(double _sigma_color)

SEE: getSigmaColor

Parameters:

_sigma_color - automatically generated

getLRCthresh

public int getLRCthresh()

LRCthresh is a threshold of disparity difference used in left-right-consistency check during confidence map computation. The default value of 24 (1.5 pixels) is virtually always good enough.

Returns:

automatically generated

setLRCthresh

public void setLRCthresh(int _LRC_thresh)

SEE: getLRCthresh

Parameters:

_LRC_thresh - automatically generated

getDepthDiscontinuityRadius

public int getDepthDiscontinuityRadius()

DepthDiscontinuityRadius is a parameter used in confidence computation. It defines the size of low-confidence regions around depth discontinuities.

Returns:

automatically generated

setDepthDiscontinuityRadius

public void setDepthDiscontinuityRadius(int _disc_radius)

SEE: getDepthDiscontinuityRadius

Parameters:

_disc_radius - automatically generated

getConfidenceMap

public Mat getConfidenceMap()

Get the confidence map that was used in the last filter call. It is a CV_32F one-channel image with values ranging from 0.0 (totally untrusted regions of the raw disparity map) to 255.0 (regions containing correct disparity values with a high degree of confidence).

Returns:

automatically generated

getROI

public Rect getROI()

Get the ROI used in the last filter call

Returns:

automatically generated

finalize

protected void finalize()
                 throws Throwable

Overrides:

finalize in class DisparityFilter

Throws:

Throwable