Class OpticalFlow

Namespace: Bonsai.Vision

Assembly: Bonsai.Vision.dll

Represents an operator that computes dense optical flow using Gunnar Farneback’s algorithm across all images in the sequence.

public class OpticalFlow : Transform<Tuple<IplImage, IplImage>, IplImage>

Inheritance: object

Combinator<Tuple<IplImage, IplImage>, IplImage>

Transform<Tuple<IplImage, IplImage>, IplImage>

OpticalFlow

Inherited Members: Combinator<Tuple<IplImage, IplImage>, IplImage>.Process(IObservable<Tuple<IplImage, IplImage>>)

object.ToString()

object.Equals(object)

object.Equals(object, object)

object.ReferenceEquals(object, object)

object.GetHashCode()

object.GetType()

object.MemberwiseClone()

Properties

Flags: Gets or sets a value specifying the operation flags for the optical flow algorithm.

Iterations: Gets or sets the number of iterations of the algorithm at each pyramid level.

Levels: Gets or sets the number of pyramid layers, including the initial image.

PolyN: Gets or sets the size of the pixel neighborhood used to find polynomial expansion in each pixel.

PolySigma: Gets or sets the standard deviation of the Gaussian used to smooth the derivatives used as a basis for the polynomial expansion.

PyramidScale: Gets or sets a value specifying the image scale (less than 1) used to build the pyramids for each image.

WindowSize: Gets or sets the averaging window size. Larger values increase robustness to noise and fast motion, but yield a blurred motion field.

Methods

Process(IObservable<IplImage>): Computes dense optical flow using Gunnar Farneback’s algorithm across all images in an observable sequence.

Process(IObservable<Tuple<IplImage, IplImage>>): Computes dense optical flow using Gunnar Farneback’s algorithm across all image pairs in an observable sequence.

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