Sparse match interpolation algorithm based on modified piecewise locally-weighted affine estimator called Robust Interpolation method of Correspondences or RIC from [Hu2017] and Variational and Fast Global Smoother as post-processing filter. The RICInterpolator is a extension of the EdgeAwareInterpolator. Main concept of this extension is an piece-wise affine model based on over-segmentation via SLIC superpixel estimation. The method contains an efficient propagation mechanism to estimate among the pieces-wise models. More...

Public Member Functions
float	getAlpha ()

float	getFGSLambda ()

float	getFGSSigma ()

int	getK ()

float	getMaxFlow ()

int	getModelIter ()

bool	getRefineModels ()

int	getSuperpixelMode ()

int	getSuperpixelNNCnt ()

float	getSuperpixelRuler ()

int	getSuperpixelSize ()

bool	getUseGlobalSmootherFilter ()

bool	getUseVariationalRefinement ()

void	setAlpha ()
	Alpha is a parameter defining a global weight for transforming geodesic distance into weight.

void	setAlpha (float alpha)
	Alpha is a parameter defining a global weight for transforming geodesic distance into weight.

void	setCostMap (Mat costMap)
	Interface to provide a more elaborated cost map, i.e. edge map, for the edge-aware term. This implementation is based on a rather simple gradient-based edge map estimation. To used more complex edge map estimator (e.g. StructuredEdgeDetection that has been used in the original publication) that may lead to improved accuracies, the internal edge map estimation can be bypassed here.

void	setFGSLambda ()
	Sets the respective fastGlobalSmootherFilter() parameter.

void	setFGSLambda (float lambda)
	Sets the respective fastGlobalSmootherFilter() parameter.

void	setFGSSigma ()
	Sets the respective fastGlobalSmootherFilter() parameter.

void	setFGSSigma (float sigma)
	Sets the respective fastGlobalSmootherFilter() parameter.

void	setK ()
	K is a number of nearest-neighbor matches considered, when fitting a locally affine model for a superpixel segment. However, lower values would make the interpolation noticeably faster. The original implementation of [Hu2017] uses 32.

void	setK (int k)
	K is a number of nearest-neighbor matches considered, when fitting a locally affine model for a superpixel segment. However, lower values would make the interpolation noticeably faster. The original implementation of [Hu2017] uses 32.

void	setMaxFlow ()
	MaxFlow is a threshold to validate the predictions using a certain piece-wise affine model. If the prediction exceeds the treshold the translational model will be applied instead.

void	setMaxFlow (float maxFlow)
	MaxFlow is a threshold to validate the predictions using a certain piece-wise affine model. If the prediction exceeds the treshold the translational model will be applied instead.

void	setModelIter ()
	Parameter defining the number of iterations for piece-wise affine model estimation.

void	setModelIter (int modelIter)
	Parameter defining the number of iterations for piece-wise affine model estimation.

void	setRefineModels ()
	Parameter to choose wether additional refinement of the piece-wise affine models is employed.

void	setRefineModels (bool refineModles)
	Parameter to choose wether additional refinement of the piece-wise affine models is employed.

void	setSuperpixelMode ()
	Parameter to choose superpixel algorithm variant to use:

void	setSuperpixelMode (int mode)
	Parameter to choose superpixel algorithm variant to use:

void	setSuperpixelNNCnt ()
	Parameter defines the number of nearest-neighbor matches for each superpixel considered, when fitting a locally affine model.

void	setSuperpixelNNCnt (int spNN)
	Parameter defines the number of nearest-neighbor matches for each superpixel considered, when fitting a locally affine model.

void	setSuperpixelRuler ()
	Parameter to tune enforcement of superpixel smoothness factor used for oversegmentation.

void	setSuperpixelRuler (float ruler)
	Parameter to tune enforcement of superpixel smoothness factor used for oversegmentation.

void	setSuperpixelSize ()
	Get the internal cost, i.e. edge map, used for estimating the edge-aware term.

void	setSuperpixelSize (int spSize)
	Get the internal cost, i.e. edge map, used for estimating the edge-aware term.

void	setUseGlobalSmootherFilter ()
	Sets whether the fastGlobalSmootherFilter() post-processing is employed.

void	setUseGlobalSmootherFilter (bool use_FGS)
	Sets whether the fastGlobalSmootherFilter() post-processing is employed.

void	setUseVariationalRefinement ()
	Parameter to choose wether the VariationalRefinement post-processing is employed.

void	setUseVariationalRefinement (bool use_variational_refinement)
	Parameter to choose wether the VariationalRefinement post-processing is employed.

Public Member Functions inherited from OpenCVForUnity.XimgprocModule.SparseMatchInterpolator
void	interpolate (Mat from_image, Mat from_points, Mat to_image, Mat to_points, Mat dense_flow)
	Interpolate input sparse matches.

Public Member Functions inherited from OpenCVForUnity.CoreModule.Algorithm
virtual void	clear ()
	Clears the algorithm state.

virtual bool	empty ()
	Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read.

virtual string	getDefaultName ()

IntPtr	getNativeObjAddr ()

void	save (string filename)

Public Member Functions inherited from OpenCVForUnity.DisposableObject
void	Dispose ()

void	ThrowIfDisposed ()

Static Public Member Functions
static new RICInterpolator	__fromPtr__ (IntPtr addr)

Static Public Member Functions inherited from OpenCVForUnity.XimgprocModule.SparseMatchInterpolator
static new SparseMatchInterpolator	__fromPtr__ (IntPtr addr)

Static Public Member Functions inherited from OpenCVForUnity.CoreModule.Algorithm
static Algorithm	__fromPtr__ (IntPtr addr)

Static Public Member Functions inherited from OpenCVForUnity.DisposableObject
static IntPtr	ThrowIfNullIntPtr (IntPtr ptr)

Protected Member Functions
override void	Dispose (bool disposing)

Protected Member Functions inherited from OpenCVForUnity.XimgprocModule.SparseMatchInterpolator
override void	Dispose (bool disposing)

Protected Member Functions inherited from OpenCVForUnity.CoreModule.Algorithm
Protected Member Functions inherited from OpenCVForUnity.DisposableOpenCVObject
	DisposableOpenCVObject ()

	DisposableOpenCVObject (bool isEnabledDispose)

	DisposableOpenCVObject (IntPtr ptr)

	DisposableOpenCVObject (IntPtr ptr, bool isEnabledDispose)

Protected Member Functions inherited from OpenCVForUnity.DisposableObject
	DisposableObject ()

	DisposableObject (bool isEnabledDispose)

Additional Inherited Members
Package Functions inherited from OpenCVForUnity.XimgprocModule.SparseMatchInterpolator
Package Functions inherited from OpenCVForUnity.CoreModule.Algorithm
Package Attributes inherited from OpenCVForUnity.DisposableOpenCVObject
Properties inherited from OpenCVForUnity.DisposableObject
bool	IsDisposed `[get, protected set]`

bool	IsEnabledDispose `[get, set]`

Detailed Description

Sparse match interpolation algorithm based on modified piecewise locally-weighted affine estimator called Robust Interpolation method of Correspondences or RIC from [Hu2017] and Variational and Fast Global Smoother as post-processing filter. The RICInterpolator is a extension of the EdgeAwareInterpolator. Main concept of this extension is an piece-wise affine model based on over-segmentation via SLIC superpixel estimation. The method contains an efficient propagation mechanism to estimate among the pieces-wise models.

Member Function Documentation

◆ fromPtr()

static new RICInterpolator OpenCVForUnity.XimgprocModule.RICInterpolator.__fromPtr__ ( IntPtr addr )

static

◆ Dispose()

override void OpenCVForUnity.XimgprocModule.RICInterpolator.Dispose ( bool disposing )

protectedvirtual

Reimplemented from OpenCVForUnity.CoreModule.Algorithm.

◆ getAlpha()

float OpenCVForUnity.XimgprocModule.RICInterpolator.getAlpha ( )

Alpha is a parameter defining a global weight for transforming geodesic distance into weight.

See also: setAlpha

◆ getFGSLambda()

float OpenCVForUnity.XimgprocModule.RICInterpolator.getFGSLambda ( )

Sets the respective fastGlobalSmootherFilter() parameter.

See also: setFGSLambda

◆ getFGSSigma()

float OpenCVForUnity.XimgprocModule.RICInterpolator.getFGSSigma ( )

Sets the respective fastGlobalSmootherFilter() parameter.

See also: setFGSSigma

◆ getK()

int OpenCVForUnity.XimgprocModule.RICInterpolator.getK ( )

K is a number of nearest-neighbor matches considered, when fitting a locally affine model for a superpixel segment. However, lower values would make the interpolation noticeably faster. The original implementation of [Hu2017] uses 32.

See also: setK

◆ getMaxFlow()

float OpenCVForUnity.XimgprocModule.RICInterpolator.getMaxFlow ( )

MaxFlow is a threshold to validate the predictions using a certain piece-wise affine model. If the prediction exceeds the treshold the translational model will be applied instead.

See also: setMaxFlow

◆ getModelIter()

int OpenCVForUnity.XimgprocModule.RICInterpolator.getModelIter ( )

Parameter defining the number of iterations for piece-wise affine model estimation.

See also: setModelIter

◆ getRefineModels()

bool OpenCVForUnity.XimgprocModule.RICInterpolator.getRefineModels ( )

Parameter to choose wether additional refinement of the piece-wise affine models is employed.

See also: setRefineModels

◆ getSuperpixelMode()

int OpenCVForUnity.XimgprocModule.RICInterpolator.getSuperpixelMode ( )

Parameter to choose superpixel algorithm variant to use:

See also: setSuperpixelMode

◆ getSuperpixelNNCnt()

int OpenCVForUnity.XimgprocModule.RICInterpolator.getSuperpixelNNCnt ( )

Parameter defines the number of nearest-neighbor matches for each superpixel considered, when fitting a locally affine model.

See also: setSuperpixelNNCnt

◆ getSuperpixelRuler()

float OpenCVForUnity.XimgprocModule.RICInterpolator.getSuperpixelRuler ( )

Parameter to tune enforcement of superpixel smoothness factor used for oversegmentation.

See also: setSuperpixelRuler

◆ getSuperpixelSize()

int OpenCVForUnity.XimgprocModule.RICInterpolator.getSuperpixelSize ( )

Get the internal cost, i.e. edge map, used for estimating the edge-aware term.

See also: setSuperpixelSize

◆ getUseGlobalSmootherFilter()

bool OpenCVForUnity.XimgprocModule.RICInterpolator.getUseGlobalSmootherFilter ( )

Sets whether the fastGlobalSmootherFilter() post-processing is employed.

See also: setUseGlobalSmootherFilter

◆ getUseVariationalRefinement()

bool OpenCVForUnity.XimgprocModule.RICInterpolator.getUseVariationalRefinement ( )

Parameter to choose wether the VariationalRefinement post-processing is employed.

See also: setUseVariationalRefinement

◆ setAlpha() [1/2]

void OpenCVForUnity.XimgprocModule.RICInterpolator.setAlpha ( )

Alpha is a parameter defining a global weight for transforming geodesic distance into weight.

◆ setAlpha() [2/2]

void OpenCVForUnity.XimgprocModule.RICInterpolator.setAlpha ( float alpha )

Alpha is a parameter defining a global weight for transforming geodesic distance into weight.

◆ setCostMap()

void OpenCVForUnity.XimgprocModule.RICInterpolator.setCostMap ( Mat costMap )

Interface to provide a more elaborated cost map, i.e. edge map, for the edge-aware term. This implementation is based on a rather simple gradient-based edge map estimation. To used more complex edge map estimator (e.g. StructuredEdgeDetection that has been used in the original publication) that may lead to improved accuracies, the internal edge map estimation can be bypassed here.

Parameters

costMap a type CV_32FC1 Mat is required.

cv::ximgproc::createSuperpixelSLIC

◆ setFGSLambda() [1/2]

void OpenCVForUnity.XimgprocModule.RICInterpolator.setFGSLambda ( )

Sets the respective fastGlobalSmootherFilter() parameter.

◆ setFGSLambda() [2/2]

void OpenCVForUnity.XimgprocModule.RICInterpolator.setFGSLambda ( float lambda )

Sets the respective fastGlobalSmootherFilter() parameter.

◆ setFGSSigma() [1/2]

void OpenCVForUnity.XimgprocModule.RICInterpolator.setFGSSigma ( )

Sets the respective fastGlobalSmootherFilter() parameter.

◆ setFGSSigma() [2/2]

void OpenCVForUnity.XimgprocModule.RICInterpolator.setFGSSigma ( float sigma )

Sets the respective fastGlobalSmootherFilter() parameter.

◆ setK() [1/2]

void OpenCVForUnity.XimgprocModule.RICInterpolator.setK ( )

K is a number of nearest-neighbor matches considered, when fitting a locally affine model for a superpixel segment. However, lower values would make the interpolation noticeably faster. The original implementation of [Hu2017] uses 32.

◆ setK() [2/2]

void OpenCVForUnity.XimgprocModule.RICInterpolator.setK ( int k )

K is a number of nearest-neighbor matches considered, when fitting a locally affine model for a superpixel segment. However, lower values would make the interpolation noticeably faster. The original implementation of [Hu2017] uses 32.

◆ setMaxFlow() [1/2]

void OpenCVForUnity.XimgprocModule.RICInterpolator.setMaxFlow ( )

MaxFlow is a threshold to validate the predictions using a certain piece-wise affine model. If the prediction exceeds the treshold the translational model will be applied instead.

◆ setMaxFlow() [2/2]

void OpenCVForUnity.XimgprocModule.RICInterpolator.setMaxFlow ( float maxFlow )

MaxFlow is a threshold to validate the predictions using a certain piece-wise affine model. If the prediction exceeds the treshold the translational model will be applied instead.

◆ setModelIter() [1/2]

void OpenCVForUnity.XimgprocModule.RICInterpolator.setModelIter ( )

Parameter defining the number of iterations for piece-wise affine model estimation.

◆ setModelIter() [2/2]

void OpenCVForUnity.XimgprocModule.RICInterpolator.setModelIter ( int modelIter )

Parameter defining the number of iterations for piece-wise affine model estimation.

◆ setRefineModels() [1/2]

void OpenCVForUnity.XimgprocModule.RICInterpolator.setRefineModels ( )

Parameter to choose wether additional refinement of the piece-wise affine models is employed.

◆ setRefineModels() [2/2]

void OpenCVForUnity.XimgprocModule.RICInterpolator.setRefineModels ( bool refineModles )

Parameter to choose wether additional refinement of the piece-wise affine models is employed.

◆ setSuperpixelMode() [1/2]

void OpenCVForUnity.XimgprocModule.RICInterpolator.setSuperpixelMode ( )

Parameter to choose superpixel algorithm variant to use:

cv::ximgproc::SLICType SLIC segments image using a desired region_size (value: 100)
cv::ximgproc::SLICType SLICO will optimize using adaptive compactness factor (value: 101)
cv::ximgproc::SLICType MSLIC will optimize using manifold methods resulting in more content-sensitive superpixels (value: 102).
See also
cv::ximgproc::createSuperpixelSLIC

◆ setSuperpixelMode() [2/2]

void OpenCVForUnity.XimgprocModule.RICInterpolator.setSuperpixelMode ( int mode )

Parameter to choose superpixel algorithm variant to use:

cv::ximgproc::SLICType SLIC segments image using a desired region_size (value: 100)
cv::ximgproc::SLICType SLICO will optimize using adaptive compactness factor (value: 101)
cv::ximgproc::SLICType MSLIC will optimize using manifold methods resulting in more content-sensitive superpixels (value: 102).
See also
cv::ximgproc::createSuperpixelSLIC

◆ setSuperpixelNNCnt() [1/2]

void OpenCVForUnity.XimgprocModule.RICInterpolator.setSuperpixelNNCnt ( )

Parameter defines the number of nearest-neighbor matches for each superpixel considered, when fitting a locally affine model.

◆ setSuperpixelNNCnt() [2/2]

void OpenCVForUnity.XimgprocModule.RICInterpolator.setSuperpixelNNCnt ( int spNN )

Parameter defines the number of nearest-neighbor matches for each superpixel considered, when fitting a locally affine model.

◆ setSuperpixelRuler() [1/2]

void OpenCVForUnity.XimgprocModule.RICInterpolator.setSuperpixelRuler ( )

Parameter to tune enforcement of superpixel smoothness factor used for oversegmentation.

See also: cv::ximgproc::createSuperpixelSLIC

◆ setSuperpixelRuler() [2/2]

void OpenCVForUnity.XimgprocModule.RICInterpolator.setSuperpixelRuler ( float ruler )

Parameter to tune enforcement of superpixel smoothness factor used for oversegmentation.

See also: cv::ximgproc::createSuperpixelSLIC

◆ setSuperpixelSize() [1/2]

void OpenCVForUnity.XimgprocModule.RICInterpolator.setSuperpixelSize ( )

Get the internal cost, i.e. edge map, used for estimating the edge-aware term.

See also: setCostMap

◆ setSuperpixelSize() [2/2]

void OpenCVForUnity.XimgprocModule.RICInterpolator.setSuperpixelSize ( int spSize )

Get the internal cost, i.e. edge map, used for estimating the edge-aware term.

See also: setCostMap

◆ setUseGlobalSmootherFilter() [1/2]

void OpenCVForUnity.XimgprocModule.RICInterpolator.setUseGlobalSmootherFilter ( )

Sets whether the fastGlobalSmootherFilter() post-processing is employed.

◆ setUseGlobalSmootherFilter() [2/2]

void OpenCVForUnity.XimgprocModule.RICInterpolator.setUseGlobalSmootherFilter ( bool use_FGS )

Sets whether the fastGlobalSmootherFilter() post-processing is employed.

◆ setUseVariationalRefinement() [1/2]

void OpenCVForUnity.XimgprocModule.RICInterpolator.setUseVariationalRefinement ( )

Parameter to choose wether the VariationalRefinement post-processing is employed.

◆ setUseVariationalRefinement() [2/2]

void OpenCVForUnity.XimgprocModule.RICInterpolator.setUseVariationalRefinement ( bool use_variational_refinement )

Parameter to choose wether the VariationalRefinement post-processing is employed.

The documentation for this class was generated from the following file:

OpenCVForUnity/Assets/OpenCVForUnity/org/opencv_contrib/ximgproc/RICInterpolator.cs

Public Member Functions

Static Public Member Functions

Protected Member Functions

Additional Inherited Members

Detailed Description

Member Function Documentation

◆ __fromPtr__()

◆ Dispose()

◆ getAlpha()

◆ getFGSLambda()

◆ getFGSSigma()

◆ getK()

◆ getMaxFlow()

◆ getModelIter()

◆ getRefineModels()

◆ getSuperpixelMode()

◆ getSuperpixelNNCnt()

◆ getSuperpixelRuler()

◆ getSuperpixelSize()

◆ getUseGlobalSmootherFilter()

◆ getUseVariationalRefinement()

◆ setAlpha() [1/2]

◆ setAlpha() [2/2]

◆ setCostMap()

◆ setFGSLambda() [1/2]

◆ setFGSLambda() [2/2]

◆ setFGSSigma() [1/2]

◆ setFGSSigma() [2/2]

◆ setK() [1/2]

◆ setK() [2/2]

◆ setMaxFlow() [1/2]

◆ setMaxFlow() [2/2]

◆ setModelIter() [1/2]

◆ setModelIter() [2/2]

◆ setRefineModels() [1/2]

◆ setRefineModels() [2/2]

◆ setSuperpixelMode() [1/2]

◆ setSuperpixelMode() [2/2]

◆ setSuperpixelNNCnt() [1/2]

◆ setSuperpixelNNCnt() [2/2]

◆ setSuperpixelRuler() [1/2]

◆ setSuperpixelRuler() [2/2]

◆ setSuperpixelSize() [1/2]

◆ setSuperpixelSize() [2/2]

◆ setUseGlobalSmootherFilter() [1/2]

◆ setUseGlobalSmootherFilter() [2/2]

◆ setUseVariationalRefinement() [1/2]

◆ setUseVariationalRefinement() [2/2]

◆ fromPtr()