Class RLOFOpticalFlowParameter

Namespace

OpenCvSharp.OptFlow

Assembly

OpenCvSharp.dll

Stores and sets up the parameters of the robust local optical flow (RLOF) algorithm.

public class RLOFOpticalFlowParameter : CvPtrObject, IDisposable

Inheritance

object

CvObject

CvPtrObject

RLOFOpticalFlowParameter

Implements

IDisposable

Inherited Members

CvPtrObject.RawPtr

CvObject.IsDisposed

CvObject.ptr

CvObject.SetSafeHandle(OpenCvSafeHandle)

CvObject.Dispose()

CvObject.Dispose(bool)

CvObject.DisposeManaged()

CvObject.DisposeUnmanaged()

CvObject.ThrowIfDisposed()

CvObject.CvPtr

object.Equals(object)

object.Equals(object, object)

object.GetHashCode()

object.GetType()

object.MemberwiseClone()

object.ReferenceEquals(object, object)

object.ToString()

Constructors

RLOFOpticalFlowParameter()

Creates a new set of RLOF parameters, initialized to the algorithm's defaults.

public RLOFOpticalFlowParameter()

Properties

CrossSegmentationThreshold

Color similarity threshold used by cross-based segmentation. Only used if SupportRegionType is Cross.

public int CrossSegmentationThreshold { get; set; }

Property Value

int

GlobalMotionRansacThreshold

Reprojection threshold (n-th percentile of the motion vectors magnitude, [0 .. 100]) used by the RANSAC homography estimation for the global motion prior.

public float GlobalMotionRansacThreshold { get; set; }

Property Value

float

LargeWinSize

Maximal window size of the support region. If SupportRegionType is Fixed this gives the exact support region size.

public int LargeWinSize { get; set; }

Property Value

int

MaxIteration

Number of maximal iterations used for the iterative refinement.

public int MaxIteration { get; set; }

Property Value

int

MaxLevel

Maximal number of pyramid levels used.

public int MaxLevel { get; set; }

Property Value

int

MinEigenValue

Threshold for the minimal eigenvalue of the gradient matrix, defining when to abort the iterative refinement.

public float MinEigenValue { get; set; }

Property Value

float

NormSigma0

Sigma parameter of the shrunk Hampel norm. If set to float.MaxValue the least-square estimator is used instead of the M-estimator.

public float NormSigma0 { get; set; }

Property Value

float

NormSigma1

Sigma parameter of the shrunk Hampel norm. If set to float.MaxValue the least-square estimator is used instead of the M-estimator.

public float NormSigma1 { get; set; }

Property Value

float

SmallWinSize

Minimal window size of the support region. Only used if SupportRegionType is Cross.

public int SmallWinSize { get; set; }

Property Value

int

SolverType

Iterative refinement strategy.

public SolverType SolverType { get; set; }

Property Value

SolverType

SupportRegionType

Support region shape extraction / shrinking strategy.

public SupportRegionType SupportRegionType { get; set; }

Property Value

SupportRegionType

UseGlobalMotionPrior

Use global motion prior initialization for the iterative refinement.

public bool UseGlobalMotionPrior { get; set; }

Property Value

bool

UseIlluminationModel

Use the Gennert and Negahdaripour illumination model instead of the intensity brightness constraint.

public bool UseIlluminationModel { get; set; }

Property Value

bool

UseInitialFlow

Use the next point list as initial values.

public bool UseInitialFlow { get; set; }

Property Value

bool

Methods

SetUseMEstimator(bool)

Enables the M-estimator by setting the norm sigma parameters to (3.2, 7.0), or disables it (least-square estimator, faster but less robust against outliers in the support region).

public void SetUseMEstimator(bool val)

Parameters

val bool

If true, the M-estimator is used. If false, the least-square estimator is used.