org.bytedeco.opencv.opencv_ximgproc

Class DisparityWLSFilter

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.opencv.opencv_core.Algorithm

org.bytedeco.opencv.opencv_ximgproc.DisparityFilter

org.bytedeco.opencv.opencv_ximgproc.DisparityWLSFilter

All Implemented Interfaces:

AutoCloseable

@Namespace(value="cv::ximgproc")
 @Properties(inherit=opencv_ximgproc.class)
public class DisparityWLSFilter
extends DisparityFilter

\brief 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.

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
DisparityWLSFilter(Pointer p) Pointer cast constructor.

Method Summary

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

Methods inherited from class org.bytedeco.opencv.opencv_ximgproc.DisparityFilter

filter, filter, filter, filter, filter, filter

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, getPointer, getPointer, getPointer, hashCode, isNull, isNull, limit, limit, malloc, maxBytes, maxPhysicalBytes, memchr, memcmp, memcpy, memmove, memset, offsetAddress, offsetof, offsetof, parseBytes, physicalBytes, 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

DisparityWLSFilter

public DisparityWLSFilter(Pointer p)

Pointer cast constructor. Invokes Pointer(Pointer).

Method Detail

getLambda

public double getLambda()

\brief 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.

setLambda

public void setLambda(double _lambda)

See Also:

getLambda

getSigmaColor

public double getSigmaColor()

\brief 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.

setSigmaColor

public void setSigmaColor(double _sigma_color)

See Also:

getSigmaColor

getLRCthresh

public int getLRCthresh()

\brief 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.

setLRCthresh

public void setLRCthresh(int _LRC_thresh)

See Also:

getLRCthresh

getDepthDiscontinuityRadius

public int getDepthDiscontinuityRadius()

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

setDepthDiscontinuityRadius

public void setDepthDiscontinuityRadius(int _disc_radius)

See Also:

getDepthDiscontinuityRadius

getConfidenceMap

@ByVal
public Mat getConfidenceMap()

\brief 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).

getROI

@ByVal
public Rect getROI()

\brief Get the ROI used in the last filter call