Class SparsePyrLKOpticalFlow

The class can calculate an optical flow for a sparse feature set using the iterative Lucas-Kanade method with pyramids.

public class SparsePyrLKOpticalFlow : UnmanagedObject, IDisposable, ISparseOpticalFlow, IAlgorithm

Inheritance: object

DisposableObject

UnmanagedObject

SparsePyrLKOpticalFlow

Inherited Members: UnmanagedObject._ptr

UnmanagedObject.Ptr

DisposableObject.Dispose()

DisposableObject.ReleaseManagedResources()

object.GetType()

object.MemberwiseClone()

object.ToString()

object.Equals(object)

object.Equals(object, object)

object.ReferenceEquals(object, object)

object.GetHashCode()

Extension Methods: AlgorithmExtensions.Clear(IAlgorithm)

AlgorithmExtensions.GetDefaultName(IAlgorithm)

AlgorithmExtensions.IsEmpty(IAlgorithm)

AlgorithmExtensions.Load(IAlgorithm, string, string, string)

AlgorithmExtensions.LoadFromString(IAlgorithm, string, string, string)

AlgorithmExtensions.Read(IAlgorithm, FileNode)

AlgorithmExtensions.Save(IAlgorithm, string)

AlgorithmExtensions.SaveToString(IAlgorithm, string)

AlgorithmExtensions.Write(IAlgorithm, FileStorage, string)

AlgorithmExtensions.Write(IAlgorithm, FileStorage)

SparseOpticalFlowExtensions.Calc(ISparseOpticalFlow, IInputArray, IInputArray, IInputArray, IInputOutputArray, IOutputArray, IOutputArray)

Constructors

Create a SparsePyrLKOpticalFlow object

public SparsePyrLKOpticalFlow(Size winSize, int maxLevel, MCvTermCriteria crit, LKFlowFlag flags, double minEigThreshold)

winSize Size: size of the search window at each pyramid level.
maxLevel int: 0-based maximal pyramid level number; if set to 0, pyramids are not used (single level), if set to 1, two levels are used, and so on; if pyramids are passed to input then algorithm will use as many levels as pyramids have but no more than maxLevel.
crit MCvTermCriteria: specifying the termination criteria of the iterative search algorithm (after the specified maximum number of iterations criteria.maxCount or when the search window moves by less than criteria.epsilon.
flags LKFlowFlag: operation flags
minEigThreshold double: the algorithm calculates the minimum eigen value of a 2x2 normal matrix of optical flow equations, divided by number of pixels in a window; if this value is less than minEigThreshold, then a corresponding feature is filtered out and its flow is not processed, so it allows to remove bad points and get a performance boost.

Return the pointer to the algorithm object

public nint AlgorithmPtr { get; }

Pointer to the unmanaged SparseOpticalFlow object

public nint SparseOpticalFlowPtr { get; }

Release the unmanaged resources

protected override void DisposeObject()