Table of Contents

Class CudaOpticalFlowDualTvl1

Namespace
Emgu.CV.Cuda
Assembly
Emgu.CV.dll

DualTvl1 optical flow

public class CudaOpticalFlowDualTvl1 : SharedPtrObject, IDisposable, ICudaDenseOpticalFlow, IAlgorithm
Inheritance
CudaOpticalFlowDualTvl1
Implements
Inherited Members
Extension Methods

Constructors

CudaOpticalFlowDualTvl1(double, double, double, int, int, double, int, double, double, bool)

Initializes a new instance of the CudaOpticalFlowDualTvl1 class.

public CudaOpticalFlowDualTvl1(double tau = 0.25, double lambda = 0.15, double theta = 0.3, int nscales = 5, int warps = 5, double epsilon = 0.01, int iterations = 300, double scaleStep = 0.8, double gamma = 0, bool useInitialFlow = false)

Parameters

tau double

Time step of the numerical scheme.

lambda double

Weight parameter for the data term, attachment parameter. This is the most relevant parameter, which determines the smoothness of the output. The smaller this parameter is, the smoother the solutions we obtain. It depends on the range of motions of the images, so its value should be adapted to each image sequence.

theta double

Parameter used for motion estimation. It adds a variable allowing for illumination variations Set this parameter to 1. if you have varying illumination.

nscales int

Number of scales used to create the pyramid of images.

warps int

Number of warpings per scale. Represents the number of times that I1(x+u0) and grad( I1(x+u0) ) are computed per scale. This is a parameter that assures the stability of the method. It also affects the running time, so it is a compromise between speed and accuracy.

epsilon double

Stopping criterion threshold used in the numerical scheme, which is a trade-off between precision and running time. A small value will yield more accurate solutions at the expense of a slower convergence.

iterations int

Stopping criterion iterations number used in the numerical scheme.

scaleStep double

Scale step

gamma double

Weight parameter for (u - v)^2, tightness parameter. It serves as a link between the attachment and the regularization terms. In theory, it should have a small value in order to maintain both parts in correspondence. The method is stable for a large range of values of this parameter.

useInitialFlow bool

If true, use initial flow.

Properties

AlgorithmPtr

Pointer to the algorithm object

public nint AlgorithmPtr { get; }

Property Value

nint

DenseOpticalFlowPtr

Pointer to the DenseOpticalFlow object

public nint DenseOpticalFlowPtr { get; }

Property Value

nint

Methods

DisposeObject()

Release all the unmanaged memory associated with this optical flow solver.

protected override void DisposeObject()